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Zagazig University<br />
Faculty of Medicine<br />
Radiology Department<br />
Imaging of Cerebral Stroke with Different MRI<br />
Techniques<br />
By<br />
Mona Abdel Ghaffar Mohammad Mohammad El-Hariri<br />
Assistant Lecturer of Radiodiagnosis<br />
Faculty of Medicine<br />
Zagazig University<br />
Thesis<br />
Submitted for Partial Fulfillment of M.D. Degree in Radiodiagnosis<br />
Supervisors<br />
<strong>Prof</strong>.<strong>Dr</strong>. <strong>Fathy</strong> <strong>Ahmed</strong> <strong>Tantawy</strong><br />
<strong>Prof</strong>essor of Radiodiagnosis<br />
Faculty of Medicine<br />
Zagazig University<br />
<strong>Prof</strong>.<strong>Dr</strong>. Dalia Nabil Khalifa<br />
<strong>Prof</strong>essor of Radiodiagnosis<br />
Faculty of Medicine<br />
Zagazig University<br />
<strong>Prof</strong>.<strong>Dr</strong>. Magdy Abdel Hamead Aidaros<br />
Assistant <strong>Prof</strong>essor of Neurology<br />
Faculty of Medicine<br />
Zagazig University<br />
Faculty of Medicine<br />
Zagazig University<br />
2009
Acknowledgment<br />
First of all, I would like to thank ALLAH who gives me the<br />
ability to finish this work.<br />
I would like to express my profound and greatest gratitude<br />
and cordial appreciation to <strong>Prof</strong>. <strong>Dr</strong>. <strong>Fathy</strong> <strong>Ahmed</strong> <strong>Tantawy</strong>,<br />
professor of radiodiagnosis, faculty of medicine, Zagazig university<br />
for his kind encouragement , kind supervision, continuous support<br />
and beneficial remarks that helped me too much to accomplish this<br />
work.<br />
I would like to express my deepest respect to <strong>Prof</strong>. <strong>Dr</strong>. Dalia<br />
Nabil Khalifa, professor of radiodiagnosis, faculty of medicine,<br />
Zagazig university for her advices and contact observations<br />
throughout the work. Her encouragement was impetus for<br />
achievement of the current study.<br />
I would like to express my sincere thanking and gratitude to<br />
<strong>Prof</strong>.<strong>Dr</strong>. Magdy Abdel Hamead Aidaros, assistant professor of<br />
Neurology, faculty of medicine, Zagazig university for his help,<br />
outstanding encouragement that made the accomplishment of this<br />
work possible.<br />
I am really grateful to ALL STAFF of Radiodiagnosis<br />
department , Zagazig university for their continuous encouragement<br />
and moral support.<br />
Last, but not least, I would like to record my appreciation and<br />
gratitude to all my patients, without their kind for their kind help and<br />
cooperation.<br />
Mona A. Ghaffar
List of Abbreviations<br />
2D : two-dimensional.<br />
3D TOF : three-dimensional time of- flight.<br />
ACA : Anterior cerebral artery.<br />
ADC: apparent diffusion coefficient<br />
AICA : Anterior inferior cerebellar artery.<br />
AIF : Anterior internal frontal.<br />
AIS : acute ischemic stroke.<br />
ASL : arterial spin labelling technique.<br />
ATP :adenosine triphosphate.<br />
AVM: Arteriovenous malformation.<br />
BBB : blood–brain barrier.<br />
CBF : Cerebral blood flow .<br />
CBV : cerebral blood volume<br />
cc: cubic centimeter.<br />
CE MRA :Contrast-enhanced MRA.<br />
Ch :choline<br />
cm: centimeter.<br />
CNS: central nervous system.<br />
Cr : creatine.<br />
CSF: cerebrospinal fluid.<br />
CSI : Chemical Shift Imaging.<br />
CT : Computed tomography.<br />
DWI : Diffusion-Weighted Image.<br />
EPI : echo planar imaging.<br />
FLAIR : fluid attenuated inversion recovery.<br />
FMD : Fibromuscular dysplasia.<br />
FPol : Frontopolar.<br />
FSE : fast spin echo.<br />
g: gram<br />
GRE : Gradient recalled echo "T2*-weighted images".<br />
h:hour<br />
ICA : Internal Carotid Artery.<br />
ICH : intracranial hemorrhage.<br />
IIP : Inferior internal parietal .<br />
IV : Intravenous.<br />
IVHs : intraventricular hemorrhages.<br />
Kg: kilogram.<br />
III<br />
Abbreviations
III<br />
Abbreviations<br />
MCA : middle cerebral artery .<br />
MI :Myocardial infarction.<br />
MIF: Middle internal frontal.<br />
min: minute<br />
Ml: Mililitre<br />
mm: millimeter.<br />
mmol: milimole.<br />
MRA : magnetic resonance angiography.<br />
MRI: magnetic resonance Imaging.<br />
MRS: Magnetic Resonance spectroscopy<br />
MTT : mean transit time.<br />
NAA:N-acetylaspartate.<br />
Na+/ K+ ATPase: Sodium/Potasiam adenosine triphosphatase.<br />
NCCT: Non Contrast Computed Tomography.<br />
PC : phase-contrast.<br />
PCA : Posterior cerebral artery.<br />
PCT1: post contrast T1.<br />
PD : proton density .<br />
PICA : Posterior inferior cerebellar artery.<br />
PIF : Posterior internal frontal.<br />
ppm : parts per millions.<br />
PWI : perfusion weighted images.<br />
RBCs : Red Blood Cells.<br />
rCBF : relative Cerebral Blood Flow .<br />
rCBV : relative Cerebral Blood volume.<br />
RF pulse: radiofrequency pulse.<br />
ROI region of interest.<br />
S: second.<br />
SAH : Subarachnoid hemorrhage.<br />
SIP : Superior internal parietal.<br />
S/N : signal-noise ratio.<br />
SVS : Single Voxel Spectroscopy.<br />
T: Tesla.<br />
TE : echo time<br />
TGA :Transient global amnesia.<br />
TIA :transient ischemic attack.<br />
TR : repetition time.<br />
TTP : time to peak.<br />
VOI : volume of interest.
Table of contents<br />
I<br />
Table of contents<br />
Introduction----------------------------------------------------------------------1<br />
Aim of the work------------------------------------------------------------------3<br />
Review of literature-------------------------------------------------------------4<br />
Blood Supply of the Brain----------------------------------------------4<br />
MRI Anatomy of the brain--------------------------------------------15<br />
Pathophysiology of stroke---------------------------------------------20<br />
Conventional MRI in Stroke------------------------------------------26<br />
Clinical Application of Diffusion Weighted Imaging in Stroke-38<br />
Clinical Application of Perfusion Weighted Imaging in Stroke-60<br />
Clinical Application of MRA in Stroke-----------------------------68<br />
Clinical Application of MRS in Stroke------------------------------75<br />
Patients and Methods----------------------------------------------------------83<br />
Results----------------------------------------------------------------------------88<br />
Illustrative cases---------------------------------------------------------------118<br />
Discussion-----------------------------------------------------------------------186<br />
Summary and Conclusion---------------------------------------------------211<br />
References----------------------------------------------------------------------215<br />
Arabic summary--------------------------------------------------------------4 -1
Introduction<br />
- 1 -<br />
Introduction<br />
Stroke can be defined as an acute central nervous system injury with<br />
an abrupt onset (Srinivasan et al.,2006).<br />
Stroke is a leading cause of mortality and morbidity in the developed<br />
world. The goals of an imaging evaluation for acute stroke are to establish a<br />
diagnosis as early as possible and to obtain accurate information about the<br />
intracranial vasculature and brain perfusion for guidance in selecting the<br />
appropriate therapy (Srinivasan et al.,2006).<br />
Acute ischemia constitutes approximately 80% of all strokes and is an<br />
important cause of morbidity and mortality (Srinivasan et al.,2006).<br />
Conventional spin-echo MR imaging is more sensitive and more<br />
specific than CT for the detection of acute cerebral ischemia within the first<br />
few hours after the onset of stroke (Srinivasan et al.,2006).<br />
DW imaging is much more sensitive than T2-weighted imaging or<br />
fluid attenuated inversion recovery (FLAIR) imaging for the detection of<br />
stroke during the first 6 hours after symptom onset (Kim et al.,2005).<br />
Diffusion-weighted imaging (DWI) and the apparent diffusion<br />
coefficient (ADC) are of particular interest, because these parameters show<br />
changes in ischemic brain tissue within hours after symptom onset, when no<br />
abnormalities are typically seen on conventional MR images. Acute<br />
ischemic lesions are characterized by a high signal on DWI and a low ADC.<br />
The ADC, a measure of the freedom of water diffusion, is believed to be<br />
low because of a shift of water, within hypoxic brain parenchyma, from the<br />
extracellular to the intracellular compartment, where water diffusion is<br />
relatively restricted (Lansberg et al., 2001).
- 2 -<br />
Introduction<br />
While diffusion-weighted MR imaging is most useful for detecting<br />
irreversibly infarcted tissue, perfusion-weighted imaging may be used to<br />
identify areas of reversible ischemia as well (Srinivasan et al.,2006).<br />
DW MR imaging depicts infarcted tissue within 5 minutes after the<br />
occlusion of the feeding vessel. PW imaging is able to depict hypoperfused<br />
brain tissue around the infarcted core (Karonen et al., 2000). In many<br />
patients with acute ischemic stroke, the volume of hypoperfused tissue on<br />
perfusion-weighted maps is larger than the volume of tissue with decreased<br />
diffusion on diffusion-weighted images. This mismatch between the<br />
volumes of abnormal tissue on perfusion- and diffusion-weighted images<br />
(perfusion-diffusion mismatch) in the same imaging session can be<br />
considered as an estimate of the ischemic penumbra and thus may be a<br />
predictor of potential infarct growth (Liu et al., 2004).<br />
The perfusion-diffusion mismatch can be determined by using<br />
different perfusion parameters, such as relative cerebral blood volume<br />
(rCBV), relative cerebral blood flow (rCBF), and mean transit time (MTT)<br />
(Karonen et al., 2000).<br />
Hydrogen 1 (1H) magnetic resonance (MR) spectroscopy enables<br />
noninvasive quantification of in vivo metabolite concentrations in the brain<br />
(Jansen et al, 2006).<br />
It has become generally accepted that early intracranial hematomas<br />
typically change over time, mainly, but not exclusively, in two important<br />
ways that alter MR signal intensity patterns: 1) the oxygenation state of<br />
hemoglobin changes, and 2) initially intact RBC membranes eventually lyse<br />
(Ebisu et al., 1997)..
Aim of the work<br />
-3-<br />
Aim of the work<br />
The aim of this work is to assess how we can use different MRI<br />
techniques in the evaluation of patients having cerebrovascular stroke.
Normal vascular anatomy<br />
Review of literature<br />
Fig .18(Weir and Abrahams, 2005) Circle of Willis, arteries of the<br />
brain with MRA, (a) axial and (b) lateral projection.<br />
1- anterior cerebral artery.<br />
2- Anterior communicating artery.<br />
3- Basilar artery.<br />
4- Branches( in insula) of the middle cerebral artery.<br />
5- Cavernous portion of the internal carotid artery.<br />
6- Cervical portion of the internal carotid artery.<br />
7- Genu of the middle cerebral artery.<br />
8- Intracranial (supraclinoid) internal carotid artery.<br />
9- Middle cerebral artery.<br />
10- Ophthalmic artery.<br />
11- Petrous portion of the internal carotid artery.<br />
12- Posterior cerebral artery.<br />
13- Posterior cerebral artery in ambient cistern.<br />
14- Posterior cerebral artery in interpeduncular cistern.<br />
15- Posterior communicating artery.<br />
16- Posterior inferior cerebellar artery.<br />
17- Guadrigeminal portion of posterior cerebral artery.<br />
18- Superior cerebellar artery.
Fig.1: Arterial supply of the brain-mid sagittal view (Gazzaniga et al., 2002).<br />
Fig.2: Arterial supply of the brain-lateral view (Gazzaniga et al., 2002).<br />
Fig.3: Arterial supply of the brain-inferior view (Gazzaniga et al., 2002).<br />
Review of literature
Review of literature<br />
Fig.4: Blood vessels and cranial nerves at the base of the brain (Tank, 1999).<br />
Fig.5: Venous drainage of<br />
the brain (Tank, 1999).
Arterial supply<br />
- 4 -<br />
Review of literature<br />
The arterial supply of the CNS is derived from the internal carotid and<br />
vertebral arteries. All arteries enter the surface of the brain are end arteries, that is,<br />
they have no precapillary anastmosis with other arteries and obstruction of these<br />
arteries causes infarct of the supplied territory (Ryan et al, 2004).<br />
Internal carotid artery<br />
Once the carotid artery enters the carotid canal it has a very tortuous course-<br />
six bends in all before its terminal division.<br />
Branches<br />
The cervical portion has no branches. Two small branches each arise from<br />
the petrous and cavernous parts of the internal carotid artery. These are seldom<br />
visible on angiography. These are:<br />
The carotictympanic artery to the ear drum.<br />
The pterygoid artery to the pterygoid canal and plate.<br />
The cavernous artery to the walls of the cavernous sinus.<br />
The meningohypophyseal artery, which supplies the dura of the anterior<br />
cranial fossa and sends branches to the pituitary (Ryan et al, 2004).<br />
The ophthalmic artery is the first supraclinoid branch of the internal carotid<br />
artery (Butler et al, 1999).<br />
The posterior communicating artery runs posteriorly to anastmose with the<br />
posterior cerebral artery (Ryan et al, 2004).<br />
The anterior choroidal artery orginates from the posterior aspect of the internal<br />
carotid artery(Uflacker, 2007).<br />
Blood Supply of the Brain<br />
Striate arteries are perforating arteries to the lentiform and the caudate nuclei and<br />
the internal capsule (Ryan et al, 2004).<br />
The terminal division of the internal carotid artery is into anterior and<br />
middle cerebral arteries (Ryan et al, 2004).
The anterior cerebral artery<br />
- 5 -<br />
Review of literature<br />
The horizontal portion of the anterior cerebral artery arises anteriorly as the<br />
smaller of the two terminal branches of the internal carotid artery. It courses<br />
anteriorly and medially to the interhemispheric fissure. The anterior cerebral artery<br />
gives origin to two groups of small arteries: an inferior and superior group. The<br />
small inferior group of branches supplies the superior surface of the optic nerve<br />
and chiasm and the superior group is formed by the medial striate arteries<br />
including the artery of Heubner.<br />
These are 5 to 10 small arteries that supply anterior hypothalamus, the<br />
septum pellucidum, the medial portion of the anterior commissure, the pillars of<br />
the fornix and the anterior inferior part of the striatum. (Uflacker, 2007).<br />
Anterior communicating artery<br />
The Anterior communicating artery is a very short and communicates both<br />
anterior cerebral arteries in the interhemispheric fissure. It completes the anterior<br />
portion of the circle of Willis (Uflacker, 2007).<br />
Pericallosal artery<br />
It ascends in front of the lamina terminals, between the two hemispheres<br />
along the longitudinal fissure, making a curve around the genu of the corpus<br />
callosum in the pericallosal cistern.<br />
Segments<br />
Infracallosal segment.<br />
Precallosal segment: curved portion of the artery around the genu of the<br />
corpus callosum.<br />
Supracallosal segment follows the upper surface of the corpus callosum.<br />
Branches of the pericallosal artery<br />
*Orbital artery (Frontobasilar) artery supplies the medial basal region of the<br />
frontal lobe, including the gyrus rectus, the medial part of the medial gyrus and the<br />
olfactory bulb and tract.<br />
*Frontopolar artery arises from the infracallosal segment and supplies anterior<br />
portion of the medial and lateral surfaces of the superior frontal gyrus.<br />
*Callosomarginal artery runs over the cingulate gyrus at the cingulated sulcusand
supplys premotor, motor and sensory areas.<br />
Branches<br />
Anterior Internal Frontal Artery.<br />
Middle Internal Frontal Artery.<br />
Posterior Internal Frontal Artery.<br />
Paracentral Artery (Uflacker, 2007).<br />
Cortical Branches of the anterior cerebral artery<br />
Orbitofrontal (OF).<br />
Frontopolar (FPol).<br />
Anterior internal frontal (AIF).<br />
Middle internal frontal (MIF).<br />
Posterior internal frontal (PIF).<br />
Paracentral (PC).<br />
Superior internal parietal (SIP).<br />
Inferior internal parietal (IIP) (Uflacker, 2007).<br />
The middle cerebral artery<br />
- 6 -<br />
Review of literature<br />
This is the largest and most direct of the branches of the internal carotid<br />
artery and is, therefore, the most prone to emblism ((Ryan et al, 2004).<br />
The middle cerebral artery has been divided into three segments: horizontal,<br />
sylvian and cortical. The horizontal segment supplies the basal ganglia, the orbital<br />
surface of the frontal lobe and the temporal lobe. The sylvian segment supplies the<br />
insula. The cortical branches supply the lateral convexities of the cerebrum<br />
(Uflacker, 2007).<br />
Horizontal segment of the middle cerebral artery<br />
The horizontal segment or M1 of the middle cerebral artery begins at the<br />
internal carotid bifurcation, runs laterally in the lateral cerebral fissure, and<br />
terminates entering the sylvian fissure. The junction between the end of the<br />
horizontal segment and the beginning of the insular segment is known as the<br />
"knee" of the middle cerebral artery. The horizontal segment of the middle cerebral<br />
artery bifurcates or trifurcates near the island of Reil in most patients.
The segment M1 presents three main groups of branches:<br />
Lenticulostriate branches.<br />
Orbitofrontal branch.<br />
Anterior temporal arteries.<br />
Sylvian segment of the middle cerebral artery<br />
- 7 -<br />
Review of literature<br />
When passing through the sylvian fissure the several branches of the middle<br />
cerebral artery feed the insula cortex (Uflacker, 2007).<br />
Cortical branches of the middle cerebral artery<br />
The middle cerebral artery supplies the entire superficial lateral surface of<br />
the cerebral hemisphere in the frontal, temporal, parietal and occipital lobes.<br />
Branches:<br />
Orbitofrontal artery.<br />
Prefrontal artery.<br />
Precental artery.<br />
Central arteries.<br />
Anterior parietal artery.<br />
Posterior parietal artery.<br />
Angular artery (terminal artery).<br />
Tempro-occipital artery.<br />
Posterior temporal artery.<br />
Middle temporal artery.<br />
Anterior temporal artery.<br />
Temporal polar artery (Uflacker, 2007).<br />
Vertebrobasilar system<br />
Vertebral artery<br />
The vertebral artery arises from the posterosuperior aspect of the first part of<br />
the subclavian artery.The artery enters the foramen tranversarium of the sixth<br />
cervical vertebra (occasionally the seventh, fifth or fourth) and ascends through the<br />
foramina of the upper six (or seven, five or four) cervical vertebrae. It passes<br />
posterior to the lateral mass of the atlas and enters the skull through the foramen
- 8 -<br />
Review of literature<br />
magnum. It pierces the dura and arachnoid mater and passes anterior to the<br />
medulla until it unites with its fellow at the lower border of the pons.<br />
*In the neck the branches are:<br />
Spinal branches to the vertebrae and the spinal cord.<br />
Muscular branches to the deep muscles of the neck.<br />
*Within the skull the branches are:<br />
Meningeal branch to the cerebellar fossa and falx.<br />
Posterior spinal artery descends as two branches anterior and posterior to<br />
the dorsal roots.<br />
Anterior spinal artery unites with its fellow anterior to the medulla and<br />
descends as a single anterior spinal artery.<br />
Small branches to the medulla oblongata (Ryan et al, 2004).<br />
Posterior inferior cerebellar artery (PICA): The posterior inferior cerebellar<br />
artery (PICA) arises from the vertebral artery as its largest and most distal branch.<br />
The PICA then proceeds to supply the undersurface of the cerebellar hemispheres<br />
(Butler et al, 1999).<br />
PICA terminates as:<br />
The medial branch (inferior vermian artery) to the inferior vermis and<br />
adjacent inferior surface of the cerebellar hemispheres.<br />
The lateral branch to the lateral aspect of the inferior surface of the<br />
cerebellum (Ryan et al, 2004).<br />
Basilar artery<br />
Formed by the union of the two vertebral arteries at the lower border of the<br />
pons, the basilar artery lies close to (but seldom exactly in) the midline, anterior to<br />
pons in the pontine cistern.<br />
The branches of the basilar artery are as follow:<br />
Pontine artery.<br />
Labyrinthine ( internal auditory artery).<br />
Anterior inferior cerebellar artery (AICA). It supplies the anterior and<br />
lateral aspect of the undersurface of the cerebellum.<br />
Superior cerebellar artery, which arises very close to the terminal division of
- 9 -<br />
Review of literature<br />
the basilar artery and runs laterally around the cerebellar peduncle of the<br />
midbrain to the superior surface of the cerebellum which it supplies. This<br />
artery also sends branches to the pons and the pineal gland.<br />
Right and left posterior cerebral arteries-the basilar artery teminates by<br />
dividing into these (Ryan et al, 2004).<br />
The posterior cerebral arteries<br />
The posterior cerebral artery receives the posterior communicating artery of<br />
the internal carotid artery to complete the circle of Willis (Ryan et al, 2004).<br />
Each posterior cerebral artery can be divided into a number of segments.<br />
The P1 or the precommunicating segment, extends from the basilar bifurcation to<br />
the origin of the posterior communicating artery. It lies within the interpeduncular<br />
fossa and thalamic perforating arteries arise from both this P1 segment and from<br />
the posterior communicating artery. The P2 or ambient segment, runs around the<br />
brainstem in the ambient cistern. The P3 segment extends from the quadrigeminal<br />
plate cistern to the calacrine fissure (Butler et al, 1999).<br />
The branches of the posterior cerebral artery are as follow:<br />
Small branches to cerebral peduncle, the posterior thalamus, the medial<br />
geniculate body and the quadrigeminal plate.<br />
Thalamostriate arteries: supply the thalamus and the lentiform nucleus.<br />
Medial and lateral posterior choroidal arteries: supply (with the anterior<br />
choroidal artery) the choroids plexus of this ventricle.<br />
Cortical branches are as follow:<br />
The posterior temporal branch, which supplies the inferior aspect of the<br />
posterior part of the temporal lobe.<br />
The internal occipital branch which passes to the medial aspect of the<br />
occipital lobe and divides terminally into calcarine and parieto-occipital<br />
arteries (Ryan et al, 2004).<br />
Circle of Willis (Circulus Arteriosus of Willis)<br />
Most of the brain is supplied by two internal carotid arteries and the central<br />
anastomosis between them, called the circle of Willis, which connects the internal
- 10 -<br />
Review of literature<br />
carotid arteries to the vertebrobasilar system that supplies the remainder brain. The<br />
circle of Willis is more polygonal than circular. It is located in the cisterna<br />
interpeduncularis surrounding the optic chiasm, the neural infundibular stem of the<br />
hypophysis gland, and other neural structures in the interpeduncular fossa.<br />
Anteriorly the anterior cerebral arteries are joined by the anterior communicating<br />
artery. Posteriorly the basilar artery divides and orginates the two cerebral arteries,<br />
and each artery is joined by the ipsilateral internal carotid by a posterior<br />
communicating artery (Uflacker, 2007).<br />
Venous <strong>Dr</strong>ainage of the brain<br />
The veins draining the central nervous system do not follow the same<br />
course as the arteries that supply it. Generally, venous blood drains the nearest<br />
venous sinus, except in the case of that draining from the deepest structures, which<br />
drain to deep veins. These drain, in turn, to the venous sinuses (Ryan et al, 2004).<br />
Venous sinuses<br />
The venous sinuses of the cranial cavity are blood filled spaces situated<br />
between the layers of the dura matter, they are lined by endothelium. Their walls<br />
are thick and composed of fibrous tissue, they have no muscular tissue. The sinuses<br />
have no valves. They receive tributaries from the brain , the diploe of the skull, the<br />
orbit and the internal ear (Snell, 2008).<br />
The superior sagittal sinus starts anteriorly and runs posteriorly in the midline to<br />
the internal occipital protuberence . Veins enter the sinus obliquely against the<br />
flow of blood (Ryan et al, 2004) Posteriorly the sinus turns to one side, usually the<br />
right, to become the transverse sinus (Ryan et al, 2004).<br />
The inferiorsagittal sinus lies in the free lower margin of the falx cerebri. It joins<br />
the great cerebral vein to form the straight sinus (Snell, 2008).<br />
The straight sinus lies at the junction of the falex cerebri with the tentorium<br />
cerebelli, formed by the union of the inferior sagittal sinus with the great cerebral<br />
vein. It drains into the transverse sinus (Snell, 2008).<br />
The transverse and sigmoid sinuses-the transverse sinuses run right and left from<br />
the confluence of the sinuses to the mastoid bones where they turn inferiorly and
- 11 -<br />
Review of literature<br />
become the sigmoid sinus, which continues at the jugular foramen as the internal<br />
jugular vein (Ryan et al, 2004).<br />
The cavernous sinuses- this sinus is on either side of the pituitary gland connected<br />
across the midline by the intercavernous sinuses. The cavernous sinus receives the<br />
ophthalmic vein, the sphenoid sinus and the superficial middle cerebral vein and<br />
drains via the petrosal sinuses to the sigmoid sinus and the beginning of the<br />
internal jugular vein (Ryan et al, 2004).<br />
The superior and inferior petrosal sinuses which run along the upper and lower<br />
borders of the prtrous part of the temporal bone (Snell, 2008).<br />
Veins of the brain<br />
The veins of the brain have no muscular tissue in their thin walls, and they<br />
possess no valves. They emerge from the brain and drain into the cranial venous<br />
sinuses (Snell, 2007).<br />
Superficial cerebral veins: They drain the nearest dural sinus.<br />
The superior anastomotic vein (of Troland).<br />
The inferior anastomotic vein (of Labbe).<br />
The superficial middle cerebral vein (Ryan et al, 2004).<br />
Deep cerebral veins<br />
Three veins unit just behind the interventricular foramen (of Monoro) to<br />
form the internal cerebral vein. These are:<br />
The choroids vein.<br />
The septal vein.<br />
The thalamostriate vein.<br />
The point of union of these veins is called the venous angle.<br />
The internal cerebral veins of each side unit to from the great cerebral vein.<br />
The great cerebral vein (of Galen) receives the basal veins and posterior fossa<br />
veins and drains to the anterior end of the straight sinus.<br />
The basal vein (of Rosenthal) begins to the anterior perforated substance by the<br />
union of three veins:<br />
The anterior cerebral vein.<br />
The deep middle cerebral vein.
The striate veins from the basal ganglia.<br />
- 12 -<br />
Review of literature<br />
The basal vein of each side passes around the midbrain to join the great cerebral<br />
vein (Ryan et al, 2004).<br />
Veins of the posterior fossa<br />
The anterior pontomesencephalic vein.<br />
The posterior mesencephalic vein.<br />
The precentral cerebellar vein.<br />
The superior vermian vein drains also to the great vein while the inferior vermian<br />
veins (paired) drain to the sagittal sinus (Ryan et al, 2004).
- 13 -<br />
Review of literature
- 14 -<br />
Review of literature
- 15 -<br />
Review of literature<br />
MR sectional anatomy of the brain (Brant and Helms,<br />
2007)<br />
MRI ANATOMY OF THE BRAIN<br />
Normal axial MRI anatomy [figure 6 to 17].
- 16 -<br />
Review of literature
- 17 -<br />
Review of literature
- 18 -<br />
Review of literature
- 19 -<br />
Review of literature
- 20 -<br />
Review of literature<br />
Stroke is and has been the third leading cause of death in most countries<br />
around the world for a very long time (Caplan, 2006).<br />
Although strokes are much more common in people over 65, and many<br />
people believe that strokes only happen to old folks, strokes can occur at any age,<br />
including infancy, childhood, adolescence and early adulthood (Caplan, 2006).<br />
The brain, and every other organ in the body depends on a constant supply<br />
of energy to function normally. Fuel for the brain is carried in the blood. The brain<br />
requires more fuel than any other organ in the body. The two main energy sources<br />
that the brain uses are sugar and oxygen. Oxygen is carried mainly in the<br />
hemoglobin of red blood cells; sugar is carried in the serum of the blood. When a<br />
part of the brain does not receive an adequate supply of the blood, or when the<br />
blood does not carry enough oxygen or sugar, that portion of the brain becomes<br />
unable to perform its normal functions. Stroke is a term that is used to describe<br />
brain injury caused by abnormality of the blood supply to apart of the brain<br />
(Caplan, 2006).<br />
Strokes can be divided into two very broad groups: hemorrhage and<br />
ischemia. Hemorrhage refers to bleeding inside the skull, either into the brain or<br />
into the fluid surrounding the brain. The second major types of strokes are called<br />
ischemia, a term that refers to lack of blood. (Caplan, 2006).Cerebral infarction<br />
accounts for approximately 85% of all strokes (Haaga et al, 2003).<br />
Causes of Stroke:<br />
a) Ischemic Stroke according to (Torbey and selim, 2007)<br />
1)Cardiac embolism<br />
Conditions have been associated with an increased risk of ischemic stroke from<br />
cardioembolism.<br />
Acute myocardial infarction (AMI).<br />
CHF.<br />
PATHOPHYSIOLOGY OF STROKE<br />
Atrial Fibrillation.
Patent foramen ovale and paradoxical emboli.<br />
Valvular disease.<br />
2) Artery to artery embolism<br />
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Review of literature<br />
Embolic material is derived from sources distal to the aortic valve in artery<br />
to artery embolism. This material subsequently mobilizes distal to its site of origin.<br />
1) Atheroemboli in large and medium artery atherosclerotic disease.<br />
2) Aortic arch atheromatous disease.<br />
3) Arterial dissection.<br />
4) Arterial thrombus formation in hypercoagulable states.<br />
5) Large vessel arteriopathy associated with sickle cell disease.<br />
6) Cardiothoracic surgery<br />
3) Small artery occlusive disease, lacunar infarction<br />
Lacunar infarcts are small, deep cerebral infarcts, most often encountered<br />
in the setting of hypertension. These infarcts result from occlusion of very small<br />
penetrating branches (Brown et al., 1988).<br />
4) Hypoperfusion and hypoxemia<br />
Some causes of decreased systemic perfusion and hypoxic states include<br />
sepsis, intraoperative hypotension,cardiopulmonary arrest,cardiac arrhythmia,<br />
volume depletion and antihypertensive medication.<br />
5) Thrombotic stroke and hypercoagulable states.<br />
Other Causes<br />
1- Vasospasm as subarchnoid hemorrhage related contribute to ischemic event,<br />
especially with the presence of a distal arterial stenosis (Torbey and selim, 2007).<br />
2- Venous sinus thrombosis (Gonzalez et al., 2006).<br />
3- Migraine (Gonzalez et al., 2006).<br />
b) Hemorrhagic Stroke<br />
1) Intracerebral hemorrhage (Torbey and selim, 2007).<br />
a) Traumatic ( cerebral contusion).<br />
b) Spontaneous (non traumatic).<br />
1- Hypertension.
2- Amyloid angiopathy.<br />
3- Vascular malformations .<br />
4- Intracranial aneurysms.<br />
5- Arterial thrombosis( hemorrhagic transformation).<br />
6- Venous thrombosis (dural sinuses or deep venous system).<br />
7- Coagulopathy<br />
8- Neoplastic as leukemia.<br />
9- Vasculitis (Torbey and selim, 2007).<br />
2) Subarachnoid hemorrhages<br />
a) Arterial aneurysm.<br />
b) Vascular malformations near the brain surface.<br />
c) Bleeding tendancies.<br />
d) Head injury.<br />
3) Subdural hemorrhages<br />
4) Epidural hemorrhages (Caplan, 2006).<br />
Mechanism of ischemia<br />
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Review of literature<br />
Focal cerebral ischemia differs from global ischemia. In global ischemia<br />
irreversible neuronal damage occurs after 4–8 min at normal body temperature. In<br />
focal cerebral ischemia collateral vessels almost always provide some degree of<br />
residual blood flow, which may be insufficient to preserve neuronal survival.<br />
Location of arterial occlusion affects the impairment of cerebral function:<br />
Obstruction below the circle of Willis often permits collateral flow through the<br />
anterior or the posterior communicating arteries. Vertebral artery obstruction can<br />
be bypassed through small deep cervical arteries. In obstructions of the cervical<br />
internal carotid artery, limited collateral flow can be provided through external<br />
carotid artery branches such as the periorbital or the ethmoidal arteries. Collateral<br />
flow mainly derives from the arteries of the circle of Willis.<br />
Basically, the loss of oxygen and glucose supply results in the collapse of<br />
cellular energy production with subsequent changes in cellular metabolism,<br />
degradation of cell membranes, and finally necrosis.<br />
The margins of the infarction are usually hyperemic due to activated
- 23 -<br />
Review of literature<br />
meningeal collaterals. The ischemic tissue swells rapidly because of increased<br />
intracellular water content. During ischemia, the arteries first dilate to increase<br />
blood supply to the oligemic tissue, but will subsequently constrict due to ischemic<br />
damage. Reperfusion may then lead to hyperemia due to impaired autoregulative<br />
capacity of the damaged arteries. In prolonged ischemia sludging and endothelial<br />
damage will prevent reperfusion (Kummer and Back, 2006).<br />
Unlike muscle, brain tissue is exquisitely sensitive to ischemia, because of<br />
the absence of neuronal energy stores. In the complete absence of blood flow, the<br />
available energy can maintain neuronal viability for approximately 2–3 minutes<br />
(Srinivasan et al, 2006).<br />
Two main factors dictate whether brain tissue subjected to hypoperfusion<br />
becomes necrotic: the magnitude and the duration of cerebral hypoperfusion. The<br />
former is the most important. Normal cerebral blood flow is 55ml/100g per minute<br />
(Wityk and Llinas, 2006).<br />
It appears that the first result of ischemia is an alteration of the cellular<br />
metabolism from an aerobic to an anaerobic state. This produces increased<br />
intracellular lactate with a concomitant decrease in intracellular ATP. This<br />
decrease in the energy stores of the cell leads to a number of physiological<br />
changes, including decreased pH, increased extracellular potassium, and/ or<br />
increased extracellular neurotransmitters (glutamate) (Sorensen and Reimer,<br />
2000).<br />
With the loss of ATP production, Na + / K + ATPase, an enzyme that is<br />
important to cell homeostasis, fails. This events permits the unbalanced influx of<br />
extracellular calcium and sodium and secondarily, the influx of extracellular water<br />
into cells. This increased intracellular water is termed cytotoxic oedema (Haaga et<br />
al, 2003).<br />
Ischemic penumbra<br />
Brain tissue is exquisitely vulnerable to ischemia. In the complete absence<br />
of blood flow, available energy stores can maintain neuronal activity for only a<br />
couple of minutes. However, in the event of an acute ischemic stroke, the ischemia<br />
is often incomplete, with the injured areas of the brain continuing to receive blood
- 24 -<br />
Review of literature<br />
from uninjured arterial and leptomeningeal collaterals. The result is a central zone<br />
of completely infracted tissue referred to as the "core" surrounded by a peripheral<br />
zone of ischemic but salvageable tissue referred to as the "penumbra' (Sanghvi et<br />
al., 2007).<br />
The ischemic penumbra is defined as functionally impaired but salvageable<br />
ischemic brain tissue surrounding an irreversibly damaged core1 and is the target<br />
of most recen ttreatments for acute stroke (Oppenheim et al, 2001).<br />
Evoked potentials in the peripheral region are abnormal, and the cells have<br />
ceased to function, but this region is potentially salvageable with early<br />
recanalization. The transition from ischemia to irreversible infarction depends on<br />
both the severity and the duration of the diminution of blood flow. (Srinivasan et<br />
al, 2006).<br />
b) Hemorrhagic Stroke<br />
Intracerebral hemorrhage<br />
Bleeding into the brain results from rupture of small blood vessels- the<br />
arterioles and capillaries within the brain substance. Intracerebral hemorrhage is<br />
most often caused by uncontrolled hypertension. The blood usually oozes into the<br />
brain under pressure and forms a localized, blood collection called a hematoma.<br />
Hematoma exert pressure on brain regions adjacent to the collection of blood and<br />
can injure these tissues. Large hemorrhages are often fatal because they increase<br />
pressure within the skull squeezing vital regions within the brain stem (Caplan,<br />
2006).<br />
Subarachnoid hemorrhage<br />
Bleeding into the fluid around the brain is called subarachnoid hemorrhage,<br />
because blood collects and stays under the arachnoid membrane that lies over the<br />
pia mater. Subarachnoid hemorrhages are usually caused by rupture of of an<br />
aneurysm. The artery breaks, spilling blood instantly into the spinal fluid that<br />
circulates around the brain and spinal cord. The sudden release of blood under high<br />
pressure increases the pressure inside the skull and causes sever, sudden onset<br />
headache, often with vomiting. The sudden increase in pressure causes a lapse in<br />
brain function (Caplan, 2006).
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Review of literature
1) Ischemic Stroke<br />
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Review of literature<br />
Conventional spin-echo MR imaging is more sensitive and more specific<br />
than CT for the detection of acute cerebral ischemia within the first few hours after<br />
the onset of stroke (Srinivasan et al, 2006).<br />
Conventional spin-echo MRI is more sensitive to the accumulation of tissue<br />
water than CT and this increased tissue water content due to edema provides the<br />
signal contrast in ischemic parenchyma on MR imaging. However, the MR image<br />
is often normal in the first 8 hours and gradually becomes more hyperintense<br />
during the first 24 hours (Rima et al., 2003).<br />
Strokes have a characteristic appearance on conventional MRI that varies<br />
with infarct age. Temporal evolution of strokes is typically categorized into<br />
hyperacute (0–6 h), acute (6–24 h), subacute (24 h to approximately 2 weeks), and<br />
chronic stroke (>2 weeks old) (Gonzalez et al., 2006).<br />
Hyperacute Infarction<br />
In the hyperacute period (first 6 h), there is shift of water from the<br />
extracellular to the intracellular space but there may be little increase in overall<br />
tissue water (Gonzalez et al., 2006).<br />
Conventional MRI in Stroke<br />
If imaging is initiated within the first 6 hours, during which time cytotoxic<br />
edema predominates, standard T2- and T1-weighted images are completely normal<br />
in the majority of cases. In a minority of cases careful scrutiny of the T1-weighted<br />
images may show subtle evidence of mass effect (Davis et al, 2003).<br />
In the hyperacute stage of infarct, there is occlusion or slow flow in the<br />
vessels supplying the area of infracted tissue. Within minutes of the infarct, the<br />
signal flow void on T2-weighted images is lost. Increased signal intensity in the<br />
lumen of large and small vessels may be observed on FLAIR images as the only<br />
indication of infarction, a finding that has been called the “hyperintense vessel<br />
sign” or arterial hyperintensity. The physiopathologic basis of this phenomenon
- 27 -<br />
Review of literature<br />
remains unclear. Several hypotheses have been proposed, such as slowly moving<br />
or stationary blood, intraluminal thrombus or embolus, or even retrograde<br />
collateral circulation (Makkat et al., 2002).<br />
Absence of the normal flow void signal is seen in either or both T1- and T2-<br />
weighted scans. This sign is more easily identified in the larger vessels of the<br />
Circle of Willis and the M1 and M2 segments of the middle cerebral artery. When<br />
present in the middle cerebral artery, this sign can be regarded as the MRI<br />
equivalent of the dense middle cerebral artery sign, as seen with CT (Davis et al,<br />
2003).<br />
Gradient recalled echo (GRE) T2*-weighted images can detect an<br />
intraluminal thrombus (deoxyhemoglobin) in hyperacute infarcts as a linear low<br />
signal region of magnetic susceptibility (Gonzalez et al., 2006).<br />
Contrast-enhanced T1-weighted images show arterial enhancement in 50%<br />
of hyperacute strokes. This arterial enhancement is thought to be secondary to slow<br />
flow, collateral flow or hyperperfusion following early recanalization. It may be<br />
detected as early as 2 h after stroke onset and can persist for up to 7 days. During<br />
this period, there is usually no parenchymal enhancement because inadequate<br />
collateral circulation prevents contrast from reaching the infarcted tissue. Rarely,<br />
early parenchymal enhancement may occur when there is early reperfusion or good<br />
collateralization (Gonzalez et al., 2006).<br />
Acute infarction:<br />
By 24 h, as the overall tissue water content increases due to vasogenic<br />
edema following blood–brain barrier disruption, conventional MRI becomes more<br />
sensitive for the detection of parenchymal infarcts (Gonzalez et al., 2006).<br />
Water is also associated with longer T1 and T2 relaxation times than those<br />
for normal brain tissue. Therefore, one effect of cytotoxic oedema on MRI scans is<br />
to increase the T1 and T2 relaxation times of the involved tissues. Although<br />
regions of the brain that are involved with ischemic stroke may be depicted as<br />
areas of relative T1 and T2 prolongation, the changes on a T1-weighted image are<br />
not usually seen as early as the changes on T2-weighted images. In the acute stroke<br />
patient, the earliest findings on conventional MRI scans are regions of increased
signal intensity on long repetition time (TR) images (Haaga et al, 2003).<br />
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Review of literature<br />
Signal changes during the first 24 h are best appreciated in the cortical and<br />
deep gray matter. Infarcts in the acute stage usually demonstrate focal or confluent<br />
areas of T2 and FLAIR hyperintensity with sulcal effacement. During this time, the<br />
white matter may be hyperintense, but also may show no abnormality or<br />
demonstrate hypointensity. Proposed etiologies for the subcortical white matter<br />
hypointensity are free radicals, sludging of deoxygenated red blood cells, and iron<br />
deposition. Because cerebrospinal fluid (CSF) is hypointense, FLAIR has<br />
improved detection of small infarctions in brain parenchyma, such as cortex and<br />
periventricular white matter, adjacent to CSF. By 24 h, T2-weighted and FLAIR<br />
weighted images detect 90% of infarcts. An increase in tissue water also leads to<br />
hypointensity on T1-weighted images. However, in the acute period, T1-weighted<br />
images are relatively insensitive at detecting parenchymal changes compared with<br />
T2- weighted images. At 24 h, sensitivity is still only approximately 50%<br />
(Gonzalez et al., 2006).<br />
Cytotoxic oedema can also influence the appearance of brain tissues on<br />
imaging studies by creating regional mass effect. In acute stroke cases involving<br />
the cortex of the brain, stroke-related edema is commonly associated with swelling<br />
of the cortical gyri. Gyral swelling is typically identified on imaging studies by the<br />
observation that the sulci between the gyri are effaced (i.e., narrowed). Regional<br />
sulcal effacement is, therefore, a sign that can be used to detect the changes of<br />
acute stroke (Haaga et al, 2003).<br />
Subacute infarction:<br />
In the subacute phase of infarct (1 day to 2 weeks), the increase in<br />
vasogenic edema results in increased T2 and FLAIR hyperintensity, increased T1<br />
hypointensity, and better definition of the infarction and swelling. The brain<br />
swelling is manifest as gyral thickening, effacement of sulci and cisterns,<br />
effacement of adjacent ventricles, midline shift, and brain herniation. The swelling<br />
reaches a maximum at about 3 days and resolves by 7–10 days. There is increased<br />
T2 and FLAIR signal within the first week that usually persists but there may be<br />
“MR fogging”. MR fogging occurs when the infarcted tissue becomes difficult to
- 29 -<br />
Review of literature<br />
see because it has developed a signal intensity similar to that of normal tissue<br />
(Gonzalez et al., 2006).<br />
The causes of fogging are not clear, but it has been proposed that a decrease<br />
in oedema, accompanied by increase macrophage activity, may be responsible. In<br />
such cases, parenchymal enhancement on T1-weighted images is typically seen<br />
after injection of gadolinium contrast material (Haaga et al, 2003).<br />
In the subacute phase, arterial enhancement peaks at 1–3 days. Large<br />
infarcts will also demonstrate meningeal enhancement that may represent reactive<br />
hyperemia, which peaks at 2–6 days. Arterial and meningeal enhancement both<br />
typically resolve by 1 week. In addition, parenchymal enhancement occurs during<br />
this phase. Gray matter enhancement can appear band-like or gyriform. This is<br />
secondary to disruption of the blood–brain barrier and restored tissue perfusion<br />
from a recanalized occlusion or collateral flow. This parenchymal enhancement<br />
may be visible at 2–3 days but is consistently present at 6 days and persists for 6–8<br />
weeks. Some infarcts, such as watershed and non cortical infarcts may enhance<br />
earlier(Gonzalez et al., 2006).<br />
Chronic Infarcts<br />
After 2 weeks, the mass effect and edema within infarcts decrease and the<br />
parenchyma develops tissue loss and gliosis. During this time, parenchymal<br />
enhancement peaks at 1–4 weeks and then gradually fades. The chronic stage of<br />
infarction is well established by 6 weeks. At this point, necrotic tissue and edema<br />
are resorbed, the gliotic reaction is complete, the blood–brain barrier is intact, and<br />
reperfusion is established . There is no longer parenchymal, meningeal or vascular<br />
enhancement, and the vessels are no longer hyperintense on FLAIR images. There<br />
is tissue loss with ventricular, sulcal, and cisternal enlargement. There is increased<br />
T2 hyperintensity and T1 hypointensity due to increased water content associated<br />
with cystic cavitation .With large middle cerebral artery (MCA) territory<br />
infarctions, there is Wallerian degeneration, characterized by T2 hyperintensity and<br />
tissue loss, of the ipsilateral cortical spinal tract (Gonzalez et al., 2006).<br />
In some cases, areas of gyral increased density and increased signal on T1-<br />
weighted images may appear to reflect mineralization (i.e. calcification) within
areas of cortical necrosis (Haaga et al, 2003).<br />
Finally:<br />
- 30 -<br />
Review of literature<br />
Standard MRI sequences are extremely sensitive to the detection of acute,<br />
subacute and chronic infarcts. However, standard sequences are negative in the<br />
majority of infarcts (within the first 6–8 hours). Sensitivity is increased by the use<br />
of contrast enhancement and FLAIR, but accurate diagnosis of hyperacute<br />
infarction depends on the use of diffusion-weighted imaging (Davis et al, 2003).<br />
2) Hemorrhagic Stroke<br />
Non-traumatic intracranial hemorrhage (ICH) accounts for 10–15% of all<br />
strokes, but up to 25% of more severe strokes. In the hyperacute emergency<br />
assessment (< 6–12 h) computed tomography (CT) is the diagnostic standard and<br />
modality of choice to differentiate between hyperacute ICH and ischemic stroke.<br />
In general, MRI at this stage is considered to be of little value for the diagnosis of<br />
intracerebral or subarachnoidal hemorrhage and many authors claim that the<br />
sensitivity of MRI for detecting hyperacute ICH is poor. While hyperacute ICH is<br />
hyperdense on acute CT scans with progressing time and hematoma degradation,<br />
there is a loss of density and the ICH may appear isodense or hypodense. MRI is<br />
far superior to CT in the subacute and chronic stages especially with regard to<br />
concomitant or underlying pathology.<br />
The ability to detect acute hemorrhage by MRI is related to the oxygen<br />
saturation of hemoglobin and its degradation. As a hematoma ages, the hemoglobin<br />
passes through several forms (oxyhemoglobin, deoxyhemoglobin, and<br />
methemoglobin) prior to red cell lysis and breakdown into ferritin and hemosiderin<br />
(Davis et al, 2003).<br />
The Evolution of MR Signals in ICH<br />
Based on the most mature form of the hemoglobin present in the clot, five<br />
stages of evolving ICH have been described. The hyperacute stage lasts for 24 h,<br />
acute stage for 2–3 days, early subacute stage for 3–7 days, late subacute stage up<br />
to 2 weeks and chronic stage more than 2 weeks. The evolution of an ICH is a<br />
complex and dynamic process and the estimation of the time of onset based on<br />
MRI findings may be inaccurate (Kummer and Back, 2006).
Hyperacute ICH<br />
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Review of literature<br />
Hyperacute stroke does not demand a complete diagnostic workup, with<br />
which all the important pathophysiologic aspects of hyperacute ischemic stroke<br />
can be investigated but also differentiation between ischemic stroke and intra-<br />
cranial hemorrhage by the radiologist, which is impossible by clinical means only<br />
(Fiebach and Schellinger, 2003).<br />
It was initially believed that on MRI an ICH of less than 24 h duration could<br />
not be distinguished reliably either from a mass lesion or from an acute infarct,<br />
because of an unspecific pattern of isointensity in T1 and slight hyperintensity on<br />
T2 imparted by the predominance of oxyhemoglobin. However, due to a reduced<br />
oxygen tension at the periphery of the clot, some deoxygenation of hemoglobin<br />
occurs immediately after the bleeding, and several studies have demonstrated that<br />
the resulting susceptibility effects can be visualized very early on T2- and<br />
particularly on T2*-weighted images as a hypointense rim . This finding may be<br />
less apparent or even not apparent at all with low-field systems, or if FSE T2<br />
sequences are used. It was reported that the ability of high field MRI to reliably<br />
detect a spontaneous ICH as early as 20 min after onset and schematized the<br />
appearance of the hyperacute hemorrhage as consisting of three distinct concentric<br />
regions. The center of the hemorrhage appears isointense or heterogeneously<br />
hyperintense on T2- and T2*-weighted images, probably reflecting the presence of<br />
intact oxyhemoglobin. The periphery is hypointense on T2- and T2*-weighted images<br />
reflecting the susceptibility effects due to deoxyhemoglobin, and finally there is an outer<br />
rim that appears hypointense on T1-weighted images and hyperintense on T2- and T2*weighted<br />
images, suggestive of edema (Kummer and Back, 2006).<br />
Acute ICH<br />
In the absence of rebleeding, deoxygenation of the clot is completed in most<br />
cases by 24 h. At that time deoxyhemoglobin becomes the predominant blood<br />
breakdown product in the lesion. Due to its paramagnetic properties and its<br />
compartmentalization within still intact RBCs, deoxyhemoglobin exerts a strong<br />
susceptibility effect, which makes acute hematomas appear distinctly and<br />
characteristically dark on T2 weighted SE images, and more so on T2* weighted
- 32 -<br />
Review of literature<br />
GRE images . On T1-weighted images, acute ICHs still appear isointense or mildly<br />
hypointense, as in the hyperacute stage. The parenchyma surrounding the clot<br />
exhibits a halo due to vasogenic edema and initial inflammatory reaction. The<br />
region of edema has long T1 and T2 relaxation times and appears hypointense on<br />
T1-weighted images and hyperintense on T2-weighted images. Edema is better<br />
shown by T2-weighted SE sequences than by T2* sequences. By the 5th to 12th<br />
day the hyperintense halo from edema begins to regress. These features of acute<br />
ICH last for about 3 days, after which formation of methemoglobin from<br />
deoxyhemoglobin begins and the clot evolves into the subacute stage(Kummer and<br />
Back, 2006).<br />
Early and Late Subacute ICH<br />
The appearance of methemoglobin in the clot marks the transition from the<br />
acute to the subacute phase. Too high or too low oxygen tension is likely to delay<br />
methemoglobin formation and the expected evolutionary changes of ICH. Unlike<br />
deoxyhemoglobin, methemoglobin allows water protons to approach the<br />
paramagnetic ion. This is possible due to a conformational change occurring in the<br />
structure of methemoglobin, which brings the ferric ion to the surface of the<br />
molecule. With this change PEDD interaction becomes possible and leads to the<br />
shortening of T1 that is characteristic of subacute hematomas. Since<br />
methemoglobin is formed initially at the interface of the hematoma with the<br />
parenchyma of the brain, the bright signals on T1-weighted images are observed<br />
initially at the periphery of the clot. Later, the bright signal extends centripetally<br />
until the whole clot becomes hyperintense in T1. This paramagnetic T1 shortening<br />
effect is observed at all field strengths. In the early subacute phase, methemoglobin<br />
is still compartmentalized within red blood cells and hence generates local field<br />
gradients that maintain a T2 shortening effect similar to that induced by<br />
deoxyhemoglobin. Therefore, in the early subacute phase relaxivity effects and<br />
susceptibility effects coexist, i.e. the clot appears bright in T1, and dark in T2 and<br />
especially in T2*. This stage is expected to last for approximately 1 week. As the<br />
clot ages, progressive fragmentation and osmotic phenomena damage RBC<br />
membranes until they eventually lyse. Hemolysis releases methemoglobin into the
- 33 -<br />
Review of literature<br />
extracellular fluid compartment of the hematoma. The resulting dilution of<br />
methemoglobin in the extracellular fluids eliminates the biological field gradients,<br />
and with them the susceptibility phenomena, an effect that is observed initially at<br />
the periphery of the clot. When all methemoglobin is extracellular, the T2-<br />
shortening induced signal loss is no longer observed, so that the late subacute ICH<br />
is predominantly hyperintense in both T1- and T2-weighted images. Focal brain<br />
lesions containing fat, calcium, or high concentrations of proteins can also appear<br />
hyperintense in T1 and T2 and therefore enter in the differential diagnosis of ICH<br />
at this stage (Kummer and Back, 2006).<br />
Chronic ICH<br />
The beginning of the chronic phase is characterized by the appearance of<br />
modified macrophages (microglia), which phagocytose the ferritin and the<br />
hemosiderin formed from the breakdown of extracellular methemoglobin. These<br />
macrophages accumulate at the periphery of the hematoma and form a ring around<br />
the remnants of the clot. Hemosiderin is highly paramagnetic as it has five<br />
unpaired electrons. Its location inside the lysosomes of macrophages is responsible<br />
for the creation of field gradients and of marked T2 shortening. Hemosiderin is<br />
also insoluble in water, which prevents PEDD interaction. In the absence of T1<br />
shortening no bright signals are observed from hemosiderin on T1-weighted<br />
images. However, at the beginning of the chronic stage there may still be free<br />
methemoglobin in the center of the clot giving bright signals on T1-weighted<br />
images. As a result, a chronic ICH initially shows a hypointense peripheral<br />
hemosiderin rim completely surrounding a central area hyperintense in all<br />
sequences due to the persistence of extracellular methemoglobin. The hemosiderin<br />
rim is less conspicuous on T1-weighted sequences and more conspicuous on T2-<br />
and T2*-weighted sequences. With time, the macromolecules in the hematoma<br />
cavity are slowly reabsorbed. This results in a gradual disappearance of<br />
paramagnetic T1 shortening effects. With the elimination of all macromolecular<br />
components, the lesion becomes more fluid and the signal intensity of the inner<br />
part of the clot becomes isointense to CSF in all sequences. Finally, the cyst-like<br />
cavity collapses leaving a residual hemosiderin-containing scar (Kummer and
What<br />
happens<br />
Back, 2006).<br />
- 34 -<br />
Review of literature<br />
Table 1: (Reimer et al., 2006:) Sequential signal intensity (SI) changes of intracranial<br />
haemorrhage on MR imaging (1.5 T).<br />
Hyperacute Acute haemorrhage Early subacute Late subacute Chronic haemorrhage<br />
haemorrhage<br />
haemorrhage haemorrhage<br />
Blood leaves the<br />
vascular system<br />
(extravasation)<br />
Deoxygenation with<br />
formation of deoxy-<br />
Hb<br />
Time frame
- 35 -<br />
Review of literature<br />
CT is also the (imaging) standard of care for the diagnosis of acute<br />
subarachnoid hemorrhage with a sensitivity of 85–100%. The CT-based diagnosis<br />
of SAH may be difficult in the posterior fossa due to bone artefacts as well as with<br />
small amounts of blood. In the subacute stage the sensitivity of CT for SAH<br />
diminishes substantially with sensitivities of 50% after 1 week, 30% after 2 weeks<br />
and ≈0% at 3 weeks necessitating the diagnostic gold standard in SAH, i.e. lumbar<br />
puncture. There currently is only scarce information about the sensitivity of stroke<br />
MRI for SAH. Initial assumptions that MRI may also be suitable in the diagnosis<br />
of acute SAH were derived from in vitro studies (Fiebach and Schellinger, 2003).<br />
CT shows the acute SAH as high attenuation areas filling the cisterns and<br />
sulci (Kummer and Back, 2006).<br />
Conventional T1–WI and T2–WI were shown to be ineffective in the<br />
diagnosis of acute SAH with sensitivities of 35–50%. This may, in part, be due to<br />
the fact that the rules, which apply for intracerebral degradation of ICH, may not<br />
be valid for SAH due to a higher oxygen partial pressure in cerebrospinal fluid<br />
(CSF) and that the formation of blood clots which also causes T2-shortening is<br />
impaired. The paramagnetic susceptibility effect, which may be utilized to detect<br />
intracerebral hemorrhage, is not suitable for the detection of SAH as the latter<br />
frequently is localized in the vicinity of the cranial vault or skull base, thus areas<br />
which are prone to artifacts. The detection of SAH may be improved by using PD–<br />
WI with shorter repetition times (TR) to visualize the T1-effect. FLAIR sequences<br />
have been reported to be suitable for the diagnosis of not only subacute but also<br />
acute SAH (Davis et al, 2003)<br />
In subacute SAH (5days to 2 weeks) MRI with fluid attenuated inversion<br />
recovery (FLAIR) sequences and proton density (PD) weighted images is clearly<br />
superior to CT (sensitivity 100% vs. 45%) (Davis et al, 2003).<br />
In FLAIR an inversion pulse is utilized to null the bright CSF signals in T2-<br />
weighted images with long TE. Due to its high protein concentration and T1<br />
shortening effect, the acute subarachnoid bleeding will appear bright on FLAIR.<br />
While FLAIR may be very sensitive in the detection of acute SAH, its specificity<br />
for this disease is suboptimal. All conditions causing an elevation of CSF proteins,
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Review of literature<br />
such as pyogenic meningitis, granulomatous meningitis, meningeal carcinomatosis<br />
etc., characteristically elevate the CSF protein levels and give rise to bright signals<br />
on FLAIR. Fat from ruptured dermoid or previous introduction of oily contrast<br />
media may also mimic SAH on FLAIR due to T1 shortening effects. Therefore, in<br />
order to confidently make a diagnosis of SAH on FLAIR, a careful appraisal of the<br />
clinical history is mandatory. Contrast may be helpful to exclude meningitis, while<br />
fat may be identified using chemical shift artifacts or fat saturation sequences.<br />
Another pitfall with FLAIR sequences may be represented by the CSF pulsation<br />
artifacts from inflow and misregistration effects. These artifacts create bright<br />
signals in the cisterns especially with fast FLAIR sequences. Hence, FLAIR may<br />
not be suitable to assess the posterior fossa SAH. Proton density-weighted images<br />
seem to be as sensitive as FLAIR in detecting SAHs of less than 24 h. CSF flow<br />
artifacts in cisterns and ventricles are less likely to be observed with proton density<br />
than with FLAIR (Kummer and Back, 2006).<br />
Intraventricular Hemorrhage<br />
Most intraventricular hemorrhages (IVHs) are secondary to ICH or SAH.<br />
Isolated IVH is rare and usually due to the rupture of underlying vascular<br />
malformations. Based on MR imaging, intraventricular bleedings have been<br />
classified into clotted IVH, usually unilateral, and layered IVH, usually bilateral.<br />
Since the CSF in ventricles has a higher content in oxygen and glucose, the layered<br />
form evolves more slowly compared to the clotted form. The latter evolves at a rate<br />
similar to ICH. However, in the chronic stage, unlike ICH, IVHs do not show<br />
hemosiderin formation. Among the conventional sequences, proton density depicts<br />
IVH better than T1- and T2-weighted images. In the acute stage FLAIR may have<br />
better sensitivity than CT scan to demonstrate IVH. On FLAIR, in the initial 48 h<br />
IVH appears hyperintense, but one should be aware of the CSF flow artifacts,<br />
which can mimic the presence of blood. Also, conditions like pyocephalus or<br />
intraventricular tumors may exhibit signals similar to IVH. After the acute phase,<br />
IVHs may appear iso- or hypointense on FLAIR. At this stage, a bright signal on<br />
T1-weighted images and a hypointense signal on T2*-weighted image will mark<br />
the presence of an IVH (Kummer and Back, 2006).
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Clinical Application of Diffusion Weighted<br />
Imaging in Stroke<br />
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Diffusion weighted imaging is an MR imaging technique in which contrast<br />
within the image is based on microscopic motion of water (Rajeshkannan et<br />
al.,2006).<br />
Diffusion-weighted (DW) magnetic resonance (MR) imaging provides<br />
potentially unique information on the viability of brain tissue. It provides image<br />
contrast that is dependent on the molecular motion of water, which may be<br />
substantially altered by disease. Stejskal and Tanner provided an early description<br />
of a DW sequence in 1965. They used a spin-echo T2-weighted pulse sequence<br />
with two extra gradient pulses that were equal in magnitude and opposite in<br />
direction. This sequence enabled the measurement of net water movement in one<br />
direction at a time. To measure the rate of movement along one direction, for<br />
example the x direction, these two extra gradients are equal in magnitude but<br />
opposite in direction for all points at the same x location. However, the strength of<br />
these two balanced gradients increases along the x direction. Therefore, if a voxel<br />
of tissue contains water that has no net movement in the x direction, the two<br />
balanced gradients cancel each other out. The resultant signal intensity of that<br />
voxel is equal to its signal intensity on an image obtained with the same sequence<br />
without the DW gradients. However, if water molecules have a net movement in<br />
the x direction (eg, due to diffusion), they are subjected to the first gradient pulse at<br />
one x location and the second pulse at a different x location. The two gradients are<br />
no longer equal in magnitude and no longer cancel. The difference in gradient<br />
pulse magnitude is proportional to the net displacement in the x direction that<br />
occurs between the two gradient pulses, and faster-moving water protons undergo<br />
a larger net dephasing. The resultant signal intensity of a voxel of tissue containing<br />
moving protons is equal to its signal intensity on a T2-weighted image decreased
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by an amount related to the rate of diffusion. The signal intensity (SI) of a voxel<br />
oftissue is calculated as follows:<br />
SI= SI0 x exp (-bx D).<br />
where SI0 is the signal intensity on theT2-weighted (or b = 0 sec/mm2) image,the<br />
diffusion sensitivity factor b is equal<br />
toγ 2 G 2 δ 2 (∆-δ /3), and D is the diffusion coefficient. γ is the gyromagnetic ratio; G<br />
is the magnitude of δ, the width of, and ∆ is the time between the two balanced<br />
DW gradient pulses. When measuring molecular motion with DW imaging, only<br />
the apparent diffusion coefficient (ADC) can be calculated. The signal intensity of<br />
a DW image is best expressed as:<br />
SI = SI0 x exp (-bx3 ADC).<br />
In the brain, apparent diffusion is not isotropic (the same in all directions); it is<br />
anisotropic (varies in different directions),particularly in white matter. The cause<br />
of the anisotropic nature of white matter is not completely understood, but<br />
increasing anisotropy has also been noted in the developing brain before T1-and<br />
T2-weighted imaging or histologic evidence of myelination becomes evident. It is<br />
likely that in addition to axonal direction and myelination, other physiologic<br />
processes, such as axolemmelic flow, extracellular bulk flow, capillary blood flow,<br />
and intracellular streaming, may contribute to white matter anisotropy. The<br />
anisotropic nature of diffusion in the brain can be appreciated by comparing<br />
images obtained with DW gradients applied in three orthogonal directions. In each<br />
of the images, the signal intensity is equal to the signal intensity on echo-planar<br />
T2-weighted images decreased by an amount related to the rate of diffusion in the<br />
direction of the applied gradients. Images obtained with gradient pulses applied in<br />
one direction at a time are combined to create DW images or ADC maps. The<br />
ADC is actually a tensor quantity or a matrix:<br />
ADCxx ADCxy ADCxz<br />
ADC= [ ADCyx ADCyy ADCyz]<br />
ADCzx ADCzy ADCzz<br />
The diagonal elements of this matrix can be combined to give information about<br />
the magnitude of the apparent diffusion:
(ADCxx 1 ADCyy 1 ADCzz)/3 (Schaefer et al, 2000).<br />
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b value:<br />
The signal sensitivity to motion for the technique is determined by the b<br />
value. Larger b values can be obtained through larger gradient amplitudes, longer<br />
duration gradient pulses, or longer times between the gradient pulses.<br />
Increasing the b value will increase the amplitude of the diffusion gradients<br />
making the acquisition more sensitive to the diffusion of water in normal brain. As<br />
this occurs, the signal from areas with normal diffusion decreases, increasing the<br />
contrast between areas of normal and restricted diffusion (Westbrook , 1999).<br />
ADC map<br />
A parameter map in which the pixel intensity is equal to the value of ADC.<br />
The map may be obtained from images acquired at several different values of b-<br />
factor. Care must be taken in selecting a minimum b value as flow effects dominate<br />
at very low b. Alternatively, a two-point method may be used typically acquiring a<br />
b = 0 image and a second image at a high b value. ADC maps have proved useful<br />
in diagnosing stroke but do not provide any directional information (Liney, 2005).<br />
Motion artifact in DWI:<br />
All motion artifacts can produce false elevations in apparent diffusion<br />
coefficient values relative to the image in which b = 0. Patient motion, including<br />
gross head motion, cardiac related pulsations, and respiratory motions, can also<br />
produce large phase shifts, which create ghosting artifacts (Provenzale and<br />
Sorensen, 1999).<br />
With the development of fast imaging techniques such as single shot EPI<br />
and half Fourier RARE, it has been possible to suppress motion artifacts even with<br />
large diffusion gradients applied (Davis et al, 2003).<br />
MR Technique used for DWI<br />
With the development of high-performance gradients, DW imaging can be<br />
performed with an echo-planar spin echo T2-weighted sequence. With the original<br />
spin-echo T2-weighted sequence, even minor bulk patient motion was enough to<br />
obscure the much smaller molecular motion of diffusion. The substitution of an<br />
echo-planar spin-echo T2-weighted sequence markedly decreased imaging time
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Review of literature<br />
and motion artifacts and increased sensitivity to signal changes due to molecular<br />
motion. As a result, the DW sequence became clinically feasible to perform<br />
(Schaefer et al, 2000).<br />
1) Ischemic Stroke<br />
The early diagnosis of ischemic stroke is critical to the success of<br />
therapeutic interventions such as thrombolysis and anticoagulation (Mullins,<br />
2006).<br />
Magnetic resonance (MR) diffusion imaging allows detection of cerebral<br />
ischemia within minutes of onset, and the temporal evolution of diffusion<br />
characteristics enables differentiation of acute from chronic stroke (Beaucbamp et<br />
al., 1998).<br />
Because diffusion-weighted MR imaging is especially sensitive to shifts in<br />
water that occur between extracellular and intracellular compartments, this<br />
technique can demonstrate regions of brain that are undergoing ischemic injury<br />
within 1 hour or less of symptom onset. In patients with acute ischemic stroke,<br />
intracellular swelling, which occurs as a result of water shifting from the<br />
extracellular compartment, causes the initial increase in observed signal intensity.<br />
Other factors that contribute to the increase in signal intensity are the<br />
increased tortuousity of the extracellular and intracellular spaces and increased<br />
intracellular viscosity (Chen et al, 2006).<br />
Conventional CT and MR imaging cannot reliably detect infarction at early<br />
time points (less than 6 h) (Gonzalez et al., 2006). In the hyperacute stroke period<br />
(0–6 hours after onset of symptoms), CT and MR imaging yield a sensitivity of<br />
less than 50% (Mullins et al, 2002), because detection of hypoattenuation on CT<br />
and hyperintensity on T2-weighted and fluid attenuated inversion recovery<br />
(FLAIR) MR images requires substantial increases in tissue water. For infarctions<br />
imaged within 6 h after stroke onset (Gonzalez et al., 2006).<br />
In contrast to CT and conventional MR imaging without diffusion<br />
weighting, DW imaging provides detection of lesions in the first hours after the<br />
onset of clinical symptoms. Furthermore, DW imaging is superior in detecting very<br />
small ischemic lesions due to the high signal intensity- to-noise ratio (Wessels et
al, 2005).<br />
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On ADC maps, tissues have an appearance opposite to that seen on the DWI<br />
trace. Thus, CSF is hyperintense on ADC maps, whereas on a DWI trace, CSF is<br />
hypointense. On diffusion-weighted images, lesions with restricted water diffusion<br />
are hyperintense while they are hypointense on ADC maps (Davis et al, 2003).<br />
In addition to Standard DW images and ADC maps, a third type of<br />
diffusion image can be created that combines some of the advantages of each. If<br />
one divides the DW image by the "b zero" reference image, or exponential image.<br />
Such an image is similar to standard DW scans, in that areas of acute ischemia<br />
appear hyperintense. Unlike standard DW images, however, so-called exponential<br />
images do not have any T2 weighting and thus do not show the effects of T2 shine-<br />
through (Haaga et al, 2003).<br />
Time course of Diffusion lesion evolution on acute stroke<br />
Information regarding the age of potentially salvageable tissue may be<br />
useful to establish rational time windows for stroke treatment and to identify<br />
patients who are most likely to benefit from acute stroke therapies. Second,<br />
knowledge of the natural evolution of MR characteristics may help estimate the<br />
age of a lesion when the time of symptom onset is unclear or when multiple lesions<br />
are present that could have different times of onset (Lansberg et al, 2001).<br />
In humans, decreased diffusion in ischemic brain tissue is observed as early<br />
as 30 min after vascular occlusion. The ADC continues to decrease with peak<br />
signal reduction at 1–4 days. This decreased diffusion is markedly hyperintense on<br />
DWI (a combination of T2 and diffusion weighting), less hyperintense on<br />
exponential images, and hypointense on ADC images. The ADC returns to<br />
baseline at 1–2 weeks. This is consistent with the persistence of cytotoxic edema<br />
(associated with decreased diffusion) as well as cell membrane disruption, and the<br />
development of vasogenic edema (associated with increased diffusion). At this<br />
point, a stroke is usually mildly hyperintense on the DWI images due to the T2<br />
component and isointense on the ADC and exponential images. Thereafter, the<br />
ADC is elevated secondary to increased extracellular water, tissue cavitation, and<br />
gliosis. There is slight hypointensity, isointensity or hyperintensity on the DWI
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images (depending on the strength of the T2 and diffusion components), increased<br />
signal intensity on ADC maps, and decreased signal on exponential images<br />
(Gonzalez et al., 2006).<br />
The time course is influenced by a number of factors including infarct type<br />
and patient age. Minimum ADC is reached more slowly and transition from<br />
decreasing to increasing ADC is later in lacunes versus other stroke types<br />
(nonlacunes). In nonlacunes, the subsequent rate of ADC increase is more rapid in<br />
younger versus older patients (Gonzalez et al., 2006).<br />
Although evolutions of infarction may differ according to the cerebral<br />
territories involved (Huang et al, 2001). Early reperfusion may also alter the time<br />
course .Early reperfusion causes pseudonormalization as early as 1–2 days in<br />
humans who receive intravenous recombinant tissue plasminogen activator (rtPA)<br />
within 3 hours after stroke onset (Gonzalez et al., 2006).
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Table 2: (Gonzalez et al., 2006) Diffusion MRI findings in stroke. (ADC Apparent<br />
diffusion coefficient, DWI diffusion-weighted image, EXP exponential image).<br />
Pulse<br />
sequance<br />
Reason for<br />
ADC<br />
changes<br />
DWI<br />
ADC<br />
EXP<br />
Hyperacute<br />
(0-6 h)<br />
Cytotoxic<br />
edema<br />
Hyperintense<br />
Hypointense<br />
Hyperintense<br />
Acute<br />
(6-24 h)<br />
Cytotoxic<br />
edema<br />
Hyperintense<br />
Hypointense<br />
Hyperintense<br />
Early<br />
subacute<br />
(1-7 days)<br />
Cytotoxic<br />
edema with<br />
small amount<br />
of vasogenic<br />
edema<br />
Hyperintense,<br />
gyral<br />
hypointensity<br />
from petechial<br />
hemorrhage<br />
Hypointense<br />
Hyperintense<br />
Late subacute Chronic<br />
Cytotoxic and<br />
vasogenic<br />
edema<br />
Hyperintense<br />
(due to T2<br />
component)<br />
Isointense<br />
Isointense<br />
vasogenic<br />
edema then<br />
gliosis and<br />
neuronal loss<br />
Isointense to<br />
hypointense<br />
Hyperintense<br />
Hypointense<br />
Diffusion-weighted (DW) imaging assesses the mobility of water. Severe<br />
cerebral hypoperfusion causes a restriction in the diffusion capacity of water due to<br />
cytotoxic edema and leads to an increased signal intensity on DW images.<br />
Increased signal intensity is also observed when the blood-brain barrier is<br />
disrupted. These two situations can be differentiated by calculating the apparent<br />
diffusion coefficient (ADC), a quantitative assessment of the diffusion capacity of<br />
water. When predominant cytotoxic edema is present, ADC levels are lower; by<br />
contrast, when the blood-brain barrier is disrupted, vasogenic edema develops,<br />
raising the ADC (Somford et al, 2004).<br />
Reversibility of DWI Stroke Lesions<br />
In the absence of thrombolysis, reversibility (abnormal on initial DWI but<br />
normal on follow-up images) of DWI hyperintense lesions is very rare (Gonzalez
et al., 2006).<br />
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Only few convincing cases had been reported in the literature with<br />
resolution of DWI lesions (mostly small lesions, often located in white matter)<br />
(Kummer and Back, 2006)The etiologies are acute stroke or transient ischemic<br />
attack (TIA), transient global amnesia, status epilepticus, hemiplegic migraine, and<br />
venous sinus thrombosis. ADC ratios (ipsilateral abnormal over contralateral<br />
normal-appearing brain) were similar to those in patients with acute stroke. In the<br />
setting of intravenous and/or intra-arterial Thrombolysis, DWI reversibility is more<br />
common. A number of studies have demonstrated that ADCs are significantly<br />
higher in DWI-reversible tissue compared with DWI-abnormal tissue that infarcts<br />
(Gonzalez et al., 2006).<br />
Reliability<br />
In contrast to unenhanced CT or conventional MR imaging, which have low<br />
sensitivities (50%) for acute ischemia detection within the first 6 hours after onset,<br />
diffusion-weighted imaging was reported to have had high sensitivity and<br />
specificity, of 88%–100% and 86%–100%, respectively, in various studies<br />
(Srinivasan et al, 2006).<br />
DWI can show small lesions adjacent to the cerebrospinal fluid. The<br />
diagnosis of a small cortical or brainstem infarct may be difficult on T2–WI<br />
images while DWI easily depicts such lesions. Fluid attenuated inversion recovery<br />
(FLAIR) demonstrates similar sensitivity to ischemic lesions than DWI, but does<br />
not allow demonstration of early lesions and differentiation between new and old<br />
lesions (Davis et al, 2003).<br />
Although after 24 h, CT, FLAIR and T2-weighted images are reliable at<br />
detecting acute infarctions, diffusion imaging continues to improve stroke<br />
diagnosis in the subacute setting. Older patients commonly have FLAIR and T2<br />
hyperintense white matter abnormalities that are indistinguishable from acute<br />
infarctions. However, the acute infarctions are hyperintense on DWI and<br />
hypointense on ADC maps while the chronic foci are usually isointense on DWI<br />
and hyperintense on ADC maps due to elevated diffusion (Gonzalez et al., 2006).<br />
DWI has proved to be more sensitive than CT in the assessment of the
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involved extent of the MCA territory. DWI and CT sensitivity ranges between 57%<br />
and 86% and 14% and 43%, respectively. Specificity has been reported excellent<br />
for both imaging techniques and interobserver agreement has shown only<br />
moderately good in both imaging techniques (kappa: 0.6 for DWI and 0.5 for CT)<br />
Furthermore, DWI has shown a more efficient early predictor of the volume of<br />
tissue ultimately infarcted than CT (Davis et al, 2003).<br />
Pitfalls of DWI in stroke:<br />
False negative DWI<br />
In the vertebro-basilar territory, there has been some concern about false-<br />
negative DWI studies,which have been reported in 19% to 31% of patients with<br />
stroke in the posterior circulation. The occurrence of false-negative DWI findings<br />
was significantly higher for small lesions and during the first 24 hours after stroke<br />
onset. In the anterior circulation, false negative initial DWI studies are much rarer<br />
(2%) (Davis et al, 2003).<br />
Most false-negative DWI images occur with punctuate lacunar brainstem or<br />
deep gray nuclei infarctions. Some lesions were presumed on the basis of an<br />
abnormal neurologic exam. While others were are seen on follow-up DWI. False<br />
negative DWI images also occur in patients with regions of decreased perfusion<br />
(increased mean transit time and decreased relative cerebral blood flow) that are<br />
hyperintense on follow-up DWI; that is, they initially had brain regions with<br />
ischemic but viable tissue that eventually infarcted. These findings stress the<br />
importance of obtaining early follow-up imaging in patients with normal DWI<br />
images and persistent stroke-like deficits so that appropriate treatment is initiated<br />
as early as possible (Gonzalez et al., 2006).<br />
False positive DWI<br />
False-positive DWI images occur in patients with a subacute or chronic<br />
infarction with “T2 shine through”. In other words, a lesion appears hyperintense<br />
on the DWI images due to an increase in the T2 signal rather than a decrease in<br />
diffusion. If the DW images are interpreted in combination with ADC maps or<br />
exponential images, this pitfall can be avoided. False-positive DWI images have
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also been reported with cerebral abscess (restricted diffusion due to increased<br />
viscosity), and tumor (restricted diffusion due to dense cell packing). Other entities<br />
with decreased diffusion that may be confused with acute infarction are venous<br />
infarctions, demyelinative lesions (decreased diffusion due to myelin<br />
vacuolization), hemorrhage and herpes encephalitis (decreased diffusion due to cell<br />
necrosis) .When these lesions are reviewed in combination with routine T1,<br />
FLAIR, T2, and gadolinium-enhanced T1-weighted images, they are usually<br />
readily differentiated from acute infarctions (Gonzalez et al., 2006).<br />
Artifacts on Diffusion –Weighted Images<br />
Acute stroke is characterized by high signal intensity on DW images;<br />
however, there are other causes of high signal intensity on these images. Knowing<br />
these other causes can be helpful in assessing the likelihood that a given patient has<br />
evidence of cerebral ischemia.<br />
One commonly seen artifact that can mimic the appearance of acute stroke<br />
is known as T2 shine-through .Because DW scans also typically have substantial<br />
spin density and T2 weighting, areas of T2 prolongation may result in carryover of<br />
hyperintense signal to the DW image. Careful comparison with a reference image<br />
(i.e., the "b zero" image) or another type of T2-weighted image can be helpful in<br />
recognizing this artifact.<br />
Another artifact that can mimic the appearance of acute stroke on DW<br />
images is hyperintensity due to white matter diffusion anisotropy. If one reviews<br />
DW images that have been sensitized to diffusion in only one direction (e.g., the<br />
phase-encoding direction), the white matter tracts that run orthogonal to the<br />
direction of sensitization appear relatively bright. This artifact can be recognized<br />
with experience, although comparison with DW images obtained with the diffusion<br />
–sensitizing gradients applied in other directions can be helpful. One can eliminate<br />
this artifact completely by reviewing only images that have isotropic weighting.<br />
Another artifactual cause of hyperintense signal on DW scans is related to<br />
magnetic susceptibility artifacts. Most DW scans are made using echo-planer<br />
imaging techniques. These very rapid MRI methods are commonly used for DW<br />
images because DW scans are highly sensitive to patient motion.
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One potential problem with echo-planar images is that they are very<br />
sensitive to susceptibility artifacts at soft tissue/ bone and soft tissue/ air interfaces<br />
.Foreign bodies (e.g., shunt catheters) may also produce susceptibility artifacts are<br />
usually easy to recognize because:<br />
They occur in locations (e.g., calvarium and skull base) that are prone to such<br />
artifacts.<br />
1- They are often flame-shaped.<br />
2- When sever, they can cause regional anatomic distortion in addition to<br />
causing increased signal intensity (Haaga et al, 2003).<br />
Stroke Mimics<br />
These syndromes generally fall into four categories: (1) Non ischemic<br />
lesions with no acute abnormality on routine or diffusion-weighted images; (2)<br />
ischemic lesions with reversible clinical deficits which may have imaging<br />
abnormalities; (3) Vasogenic edema syndromes which may mimic acute infarction<br />
clinically and on conventional imaging; (4) other entities with decreased diffusion<br />
patients (Gonzalez et al., 2006).<br />
Non ischemic Lesions with No Acute Abnormality on Routine or Diffusion-<br />
Weighted Images<br />
Non ischemic syndromes that present with signs and symptoms of acute<br />
stroke but have no acute abnormality identified on DWI or routine MR images<br />
include peripheral vertigo, migraines, seizures, dementia, functional disorders, and<br />
metabolic disorders. The clinical deficits associated with these syndromes are<br />
usually reversible. If initial imaging is normal and a clinical deficit persists, repeat<br />
DWI should be obtained. False-negative DWI and perfusion weighted images<br />
(PWI) occur in patients with small brainstem or deep gray nuclei lacunar<br />
infarctions patients (Gonzalez et al., 2006).<br />
Syndromes with Reversible Clinical Deficits that may have Decreased<br />
Diffusion<br />
Transient Ischemic Attack<br />
A transient ischemic attack (TIA) can be defined as a sudden loss of
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neurological function lasting less than 24 hours due to occlusive thromboembolic<br />
cerebrovascular disease (Crisostomo et al, 2003).<br />
DWI demonstrates ischemic abnormalities in nearly half of clinically<br />
defined TIA patients. The lesions are usually less than 15mm in maximal diameter.<br />
The percentage of patients with positive DWI lesion increases with increasing total<br />
symptom duration. The compromised vascular territory detected on diffusion<br />
imaging and the clinical symptoms correlate. In nearly half the patients the<br />
diffusion MRI changes may be fully reversible, while in the remainder the findings<br />
herald the development of a parenchymal infarct (Kesavadas et al., 2003).<br />
Transient Global Amnesia<br />
Transient global amnesia (TGA) is a clinical syndrome characterized by<br />
sudden onset of profound memory impairment resulting in both retrograde and<br />
anterograde amnesia without other neurological deficits. The symptoms typically<br />
resolve in 3–4 h. Many patients with TGA have no acute abnormality on<br />
conventional or diffusion-weighted images .A number of studies, however, have<br />
reported punctuate lesions with decreased diffusion in the medial hippocampus, the<br />
parahippocampal gyrus, and the splenium of the corpus callosum (Gonzalez et al.,<br />
2006).<br />
Vasogenic Edema Syndromes<br />
Patients with these syndromes frequently present with acute neurologic<br />
deficits, which raise the question of acute ischemic stroke. Furthermore,<br />
conventional imaging cannot reliably differentiate cytotoxic from vasogenic edema<br />
because both types of edema produce T2 hyperintensity in gray and/or white<br />
matter. Diffusion MR imaging has become essential in differentiating these<br />
syndromes from acute stroke because it can reliably distinguish vasogenic from<br />
cytotoxic edema. While cytotoxic edema is characterized by decreased diffusion,<br />
vasogenic edema is characterized by elevated diffusion due to a relative increase in<br />
water in the extracellular compartment. Vasogenic edema is characteristically<br />
hypointense to slightly hyperintense on DWI images because these images have<br />
both T2 and diffusion contributions . Vasogenic edema is hyperintense on ADC<br />
maps and hypointense on exponential images while cytotoxic edema is
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hypointense in ADC maps and hyperintense on exponential images patients<br />
(Gonzalez et al., 2006).<br />
Venous Infarction<br />
Cerebral venous sinus thrombosis (CVT) is a rare condition that affects<br />
fewer than 1 in 10,000 people. The pathophysiology of CVT is not completely<br />
clear. Venous obstruction results in increased venous pressure, increased<br />
intracranial pressure, decreased perfusion pressure, and decreased cerebral blood<br />
flow. Increased venous pressure may result in vasogenic edema from breakdown of<br />
the blood–brain barrier and extravasation of fluid into the extracellular space.<br />
Blood may also extravasate into the extracellular space. Severely decreased blood<br />
flow may also result in cytotoxic edema associated with infarction. Increases in<br />
CSF production and resorption have also been reported. Parenchymal findings on<br />
imaging correlate with the degree of venous pressure elevation .With mild to<br />
moderate pressure elevations, there is parenchymal swelling with sulcal effacement<br />
but without signal abnormality. As pressure elevations become more severe, there<br />
is increasing edema and development of intraparenchymal hemorrhage. Superior<br />
sagittal sinus thrombosis is characterized by bilateral parasagittal T2-hyperintense<br />
lesions involving cortex and subcortical white matter. Transverse sinus thrombosis<br />
results in T2-hyperintense signal abnormality involving temporal cortex and<br />
subcortical white matter. Deep venous thrombosis is characterized by T2-<br />
hyperintense signal abnormalities in the bilateral thalami and sometimes the basal<br />
ganglia. Hemorrhage is seen in up to 40% of patients with CVT and is usually<br />
located at gray white matter junctions or within the white matter.<br />
DWI has proven helpful in the differentiation of venous from arterial<br />
infarction and in the prediction of tissue outcome. T2-hyperintense lesions may<br />
have decreased diffusion, elevated diffusion or a mixed pattern. Lesions with<br />
elevated diffusion are thought to represent vasogenic edema and usually resolve.<br />
Lesions with decreased diffusion are thought to represent cytotoxic edema. Unlike<br />
arterial stroke, some of these lesions resolve and some persist. Resolution of<br />
lesions with decreased diffusion may be related to better drainage of blood through<br />
collateral pathways in some patients (Gonzalez et al., 2006).
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2) Hemorrhagic Stroke<br />
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Intraparenchymal Hemorrhage: Appearance and Evolution<br />
The classic pattern for temporal evolution of intracerebral hematomas on<br />
MRI at1.5 T is well known. However, determination of the age of hemorrhage is<br />
often inaccurate because of variations between individual patients. The change of<br />
signal intensity over time depends on many factors, such as the oxygenation state<br />
of hemoglobin, the status of red blood cell membrane, hematocrite, proteins and<br />
clot formation. Among these, the evolution of hemoglobin and red cell membrane<br />
integrity are most important. The transition of oxy-hemoglobin to deoxy-<br />
hemoglobinand thereafter to met-hemoglobin depends primarily upon oxygen<br />
tension in the vicinity of the lesion as well as inside the hematoma itself. In the<br />
hyperacute stage, oxy-hemoglobin will dominate initially, but transformation into<br />
deoxy-hemoglobin will soon take place and deoxy-hemoglobin will dominate after<br />
a few days- the acute hematoma. After approximately one week, deoxy<br />
hemoglobin will transform to met-hemoglobin. However, the rate of this oxidation<br />
to met-hemoglobin will depend on oxygen tension in the tissues, which may<br />
further complicate the temporal pattern of expected signal changes. Initially, met-<br />
hemoglobin will be found within intact red blood cells ( the early subacute stage),<br />
but when the red cell membrane start to rupture, met-hemoglobin will be found in<br />
the extracellular fluid space ( The late subacute stage) , which takes place about<br />
two weeks following hemorrhage. The final stage, the chronic stage, is the result of<br />
continous phagocytation of the breakdown products of hemoglobin, ferritin and<br />
hemosiderin, which starts about one month following hemorrhage. The products<br />
ferritin and hemosiderin, will remain within the phagocytic cells, which<br />
accumulate in the periphery of the hematoma, where they may remain for years,<br />
may be indefinitely, as a marker of an old hemorrhage (Moritani et al, 2005).<br />
Diffusion MR data would differ among the stages of evolving hematomas in<br />
that hematomas containing blood with intact cell membranes would have restricted<br />
diffusion compared with those hematomas in which RBC membranes have lysed.<br />
This hypothesis was based on several facts. First, the presence of intact cell
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membranes restricts molecular diffusion .For instance, increased ADC values have<br />
been reported in cases of intratumoral necrosis, a pathologic environment defined<br />
by a lack of intact cell membranes. Second, an important requisite for the diffusion<br />
restriction observed in association with early ischemic infarction is the presence of<br />
intact cells, because the early reduction in diffusion is related to shifts of water<br />
from extracellular space to intracellular space. Once cells have lysed in the<br />
subsequent evolution of subacute to chronic infarction, measured diffusion<br />
increases. Hematomas composed of any and all of the evolutionary stages<br />
theorized to contain hemoglobin within intact RBCs (i.e., hyperacute, acute, and<br />
early subacute hematomas) show significantly reduced ADC values compared with<br />
the single hematoma state theorized to be comprised of lysed RBCs (i.e., ‘‘free’’<br />
methemoglobin in subacute-to-chronic hematomas). The ADC measurements in all<br />
of the intracellular hemoglobin states (intracellular oxyhemoglobin, intracellular<br />
deoxyhemoglobin, and intracellular methemoglobin) were statistically equivalent.<br />
These diffusion data support the theorized biophysical states of hemoglobin and<br />
the RBC put forth in the literature on evolving intracranial hematomas. Further<br />
analysis indicated that the ADC measurements of all early hematomas (including<br />
hyperacute, acute, and even early subacute) were significantly reduced compared<br />
with normal brain tissue. This restriction of diffusion is similar to the phenomenon<br />
observed in cases of early ischemic infarction, in which it is well documented that<br />
within minutes and for the first several days, the ADC value decreases and is<br />
therefore depicted as marked hypointensity on ADC maps. The precise biophysical<br />
explanation for the observed restriction of diffusion in early stages of intracranial<br />
hematomas is uncertain. Potential causes include, but are not limited to: 1)<br />
Shrinkage of extracellular space with clot retraction 2) a change in the osmotic<br />
environment once blood becomes extravascular, which alters the shape of the RBC<br />
-a phenomenon related to the formation of the fibrin network associated with clot<br />
3) a conformational change of the hemoglobin macromolecule within the RBC ;<br />
and the less likely possibility of 4) contraction of intact RBCs (thereby decreasing<br />
intracellular space) Any of these processes might alter the potential mobility of<br />
intracellular water protons. Regardless of the precise explanation for restricted
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diffusion in early hematomas, our study indicates that the measured restriction of<br />
diffusion (reduced ADC value) in the hematoma itself would generate similar<br />
hypointensity on ADC maps (Atlas et al, 2000)<br />
Hyperacute Hematoma<br />
Results of DW imaging of hematomas at this stage have not been well<br />
characterized; however a hyperacute intraparenchymal hemorrhage is hyperintense<br />
on DW images, with a decreased apparent diffusion coefficient (ADC). The<br />
possible causes for the decreased ADC are shrinkage of the extracellular space due<br />
to clot retraction, changes in the concentration of hemoglobin and a high viscosity<br />
(Moritani et al, 2005).<br />
Acute hematoma<br />
Diffusion-weighted images of an acute hematoma show a marked<br />
hypointensity, caused by the magnetic field inhomogeneity created by the para-<br />
magnetic deoxy-hemoglobin. Although The ADC has been reported to be<br />
decreased, accurate calculations are often difficult (Moritani et al, 2005).<br />
Early subacute hematoma<br />
On DW imaging, intracellular met-hemoglobin shows hypointensity due to<br />
paramagnetic susceptibility effects and ADC measurements are not reliable due to<br />
susceptibility effects (Moritani et al, 2005).<br />
Late subacute hematoma<br />
It has been reported that late subacute hematomas are hyperintense on DW<br />
imaging. The ADC value for the late subacute hematoma is controversial<br />
(Moritani et al, 2005).<br />
Chronic hematoma<br />
Diffusion-weighted images are hyperintense in chronic hematomas. The<br />
ADC value has been reported to be increased, but this is often difficult to measure<br />
accurately due to paramagnetic susceptibility artifacts (Moritani et al, 2005)<br />
Hemorrhagic and Non hemorrhagic Stroke<br />
(a) Decreased ADC was demonstrated in the lesions of acute hemorrhagic<br />
stroke and in the lesions of acute non hemorrhagic stroke; (b) acute hemorrhagic
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stroke was depicted as an area of hypointensity on T2-weighted EP images, in<br />
contrast to the normal to increased signal intensity in lesions of acute non<br />
hemorrhagic stroke; and (c) decreased ADC tended to persist longer in<br />
hemorrhagic stroke lesions than in non hemorrhagic stroke lesions (Ebisu et al,<br />
1997).<br />
Restriction of diffusion, even in the appropriate clinical setting of acute<br />
stroke by clinical assessment, should not necessarily be taken as specific for acute<br />
ischemic infarction. Second, several studies quantify regions of acute infarction on<br />
the basis of restricted diffusion on ADC maps. A potential pitfall to that<br />
quantitative assessment in that early hematomas might mask or mimic regions of<br />
acute infarction. This suggests that ADC maps should always be interpreted with<br />
conventional MR images for comparison (Atlas et al, 2000).<br />
Subarachnoid hemorrhage<br />
Computed tomography (CT) is still essential in the diagnosis of acute<br />
subarachnoid hemorrhages, as the sensitivity and usefulness of MR imaging is<br />
controversial. Fluid –attenuated inversion-recovery (FLAIR) imaging has a high<br />
sensitivity for subarachnoid hemorrhage.However, the sensitivity is low.<br />
It is often difficult to detect subarachnoid hemorrhage on DW images.<br />
However, DW images may be useful to visualize parenchymal injuries secondary<br />
to subarachnoid hemorrhage. Ischemic changes, probably related to subarachnoid<br />
hemorrhage, have showen hyperintensity on DW images (Moritani et al, 2005).<br />
Intraventricular Hemorrhage<br />
Intraventricular hemorrhage is well demonstrated on FLAIR, T1, T2 and<br />
proton density-weighted images. FLAIR has been reported to have highest<br />
sensitivity for detection of intraventricular hematomas. DW images can<br />
demonstrate intraventricular hemorrhages, but in general the GRE images have a<br />
higher sensitivity (Moritani et al, 2005).
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Perfusion is the steady-state delivery of blood (nutrients and oxygen) to<br />
tissue parenchyma representing coherent motion of water and cellular material.<br />
Since both perfusion-weighted imaging (PWI) and magnetic resonance<br />
angiography (MRA) map the flow of blood in vessels, there may be some<br />
confusion between the applications of these two techniques. MRA is useful in<br />
demonstrating the macroscopic vasculature (in both arteries and veins) and<br />
detecting morphological changes in blood vessels themselves such as stenosis,<br />
aneurysms, dissections and malformations. PWI detects microscopic flow at the<br />
capillary level and therefore is useful to investigate changes taking place at the<br />
cellular level (Davis et al, 2003).<br />
Perfusion is typically measured in ml/100gm of tissue /min, or units of<br />
CBF. Normal human gray matter is perfused at a rate of 50-60ml/100gm/min and<br />
is maintained in a narrow range by cerebral auto-regulation .Thus, low perfusion<br />
states might result in cellular ischemia, and high perfusion states might be<br />
associated with hypervascular lesions such as some tumors (Sorensen and Reimer,<br />
2000).<br />
Clinical Application of Perfusion Weighted<br />
There are three important parameters that are used to quantify and assess<br />
brain tissue perfusion: cerebral blood flow (CBF), cerebral blood volume (CBV)<br />
and mean transit time (MTT). CBV is defined simply as the amount of blood in a<br />
given amount of tissue at any time (ml/g) as compared to CBF, which represents<br />
the amount of blood moving through a certain amount of tissue per unit time (ml/g<br />
per min). The ratio of CBV and CBF is defined as the mean transit time (units<br />
minutes) (Davis et al, 2003).<br />
Imaging in Stroke<br />
Perfusion imaging techniques can be divided into two broad groups,<br />
depending upon the type of contrast mechanism:<br />
(i) signal monitoring using exogenous (injectable) contrast agents such as
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gadolinium DTPA (Gd-DTPA; T1 shortening agent), oxygen 17 in H2O17 (T2<br />
shortening agent) or superparamagnetic agents (T2* shortening).<br />
(ii) Endogenous or inherent contrast agents such as arterial spin labelling<br />
technique (ASL) (Davis et al, 2003).The target of acute stroke therapy is that<br />
portion of the brain tissue that is ischemic and contributes to the neurologic deficit<br />
but is still viable and salvageable if appropriate blood flow is rapidly restored<br />
(Grandian et al, 2002).<br />
Viable tissue that is at risk for infarction is commonly called the ischemic<br />
penumbra or the tissue outside the (non viable) core of infarction that is<br />
nonetheless under perfused. It is postulated that the ischemic penumbra differs<br />
from viable tissue that is not at risk by the (decreased) amount of blood flow that it<br />
receives (Haaga et al, 2003).<br />
Depending on the effectiveness of collateral vessels, such tissue may persist<br />
as long as 17 hours after stroke onset in some patients or, inversely, may be<br />
irreversibly damaged within a few minutes after the arterial occlusion . Therefore,<br />
thrombolytic therapy should be individually tailored (Grandian et al, 2002).<br />
While diffusion-weighted MR imaging is most useful for detecting<br />
irreversibly infarcted tissue (Srinivasan et al, 2006), perfusion imaging findings<br />
provide information on the momentary hemodynamic state of brain tissue, as they<br />
reveal impaired tissue perfusion caused by blood vessel obstruction. Therefore,<br />
perfusion imaging findings may yield information about pathologically<br />
hypoperfused regions, even before genuine structural brain tissue damage has<br />
taken place (Wittsack et al, 2002).<br />
The pathophysiology of ischemia can be considered in four stages, based on<br />
autoregulatory physiology:<br />
First stage, normal hemodynamics.<br />
Second stage, characterized by initial decrease in perfusion pressure. Initially,<br />
autoregulatory vasodilatation preserves CBF, at the same time increasing CBV.<br />
MTT is also typically increased.<br />
Third stage, characterized by greater decrease in perfusion pressure and by an<br />
initial decrease in CBF value. CBV typically remains increased.
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Fourth stage, characterized by further decrease in perfusion pressure and decrease<br />
in both CBF and CBV. This stage is associated with tissue ischemia and<br />
hemodynamic failure (Haaga et al, 2003).<br />
Reduced rCBF represents ischemic threat to brain tissue, increased rMTT<br />
represents the brain’s active response to that threat, and reduced rCBV may<br />
represent failure of that response to meet metabolic needs. In this view, regions of<br />
reduced rCBV represent tissue that is very likely destined for infarction, but<br />
regions of abnormal rCBF or rMTT may or may not proceed to infarction (Davis et<br />
al, 2003).<br />
Reliability<br />
In general, perfusion images are less sensitive than DWI images in the<br />
detection of acute stroke. Lesions missed on perfusion images include: (1) lesions<br />
with small abnormalities on DWI that are not detected because of the lower<br />
resolution of MR perfusion images, and (2) lesions with early reperfusion.<br />
Specificities for perfusion images range from 96% to 100%. Occasional false-<br />
positive scans occur when there is an ischemic, but viable hypoperfused region that<br />
recovers (Gonzalez et al., 2006).<br />
It has been proposed that MR perfusion imaging may complement DW<br />
imaging in depicting the region of penumbra. The premise is that DW imaging is<br />
thought to depict the region of core infarction, whereas the region of perfusion<br />
abnormality represents both the core and the penumbra. The difference between<br />
the extent of the diffusion abnormality and the extent of perfusion abnormality is<br />
thus thought to represent penumbra (Haaga et al, 2003).<br />
Addition of perfusion to diffusion information increases the sensitivity for<br />
detecting ischemic at-risk tissue and categorizing its vascular distribution to enable<br />
the best selection among therapeutic options. (Sunshine et al, 2001).<br />
Until now, recanalization treatment with using thrombolytics has been the<br />
only effective treatment for hyperacute ischemic stroke. The procedure is usually<br />
done within three hours after the onset of symptoms for the intravenous method,<br />
and it’s done within six hours for the intraarterial method. This quick intervention<br />
is based upon the hypothesis that there is a significant portion of tissue at risk of
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irreversible injury that could be recovered if swift reperfusion is within these time<br />
periods. The area that can be salvaged by timely reperfusion is referred to as the<br />
“ischemic penumbra.” The aim of radiological imaging before recanalization<br />
treatment is to identify those patients who can most benefit from the treatment and<br />
to exclude those patients who are at a large degree of risk with using recanalization<br />
treatment (Lee et al., 2005).<br />
Proximal occlusions are much more likely to result in a diffusion–perfusion<br />
mismatch than distal or lacunar infarctions. Operationally, the diffusion<br />
abnormality is thought to represent the ischemic core and the region characterized<br />
by normal diffusion but abnormal perfusion is thought to represent the ischemic<br />
penumbra. Definition of the penumbra is complicated because of the multiple<br />
hemodynamic parameters that may be calculated from the perfusion MRI data<br />
(Gonzalez et al., 2006).<br />
The volume of penumbral tissue typically decreases with time as the infarct<br />
expands, but the duration of the potential therapeutic window is variable (Prosser<br />
et al, 2005).
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Table 3: (Gonzalez et al., 2006) Lesion volumes of diffusion and perfusion. (DWI<br />
Diffusion-weighted imaging, PWI perfusion-weighted imaging).<br />
Pattern Cause Comment<br />
PWI but no DWI<br />
PWI>DWI<br />
PWI=DWI<br />
PWI
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A diffusion lesion larger than the perfusion lesion or a diffusion lesion without a<br />
perfusion abnormality usually occurs with early reperfusion. Similarly, in this<br />
situation, there is usually no significant lesion growth (Gonzalez et al., 2006).<br />
An alternate approach for determining the extent of penumbra is to use<br />
perfusion maps alone to distinguish the core of infarction from the penumbra.<br />
Usually with the use of perfusion parameter value thresholds. The most commonly<br />
used perfusion parameter is the mean CBF value (Haaga et al, 2003).<br />
The variability in CBF ratios likely results from a number of different<br />
factors. Most importantly, the data obtained represent only a single time point in a<br />
dynamic process. One major factor is variability in timing of tissue reperfusion.<br />
Another factor is that normal average CBF in human parenchyma varies greatly,<br />
from 21.1 to 65.3 ml .100 g –1 .min –1 ,depending on age and location in gray matter<br />
versus white matter. Other factors affecting thresholds of tissue viability include<br />
variability methodologies, variability in initial and follow-up imaging times, and<br />
variability in post ischemic tissue responses.<br />
Low rCBV ratios are highly predictive of infarction. However, elevated<br />
rCBV is not predictive of tissue viability, and rCBV ratios for penumbral regions<br />
that do and do not infarct may not be significantly different. Some studies have<br />
demonstrated no statistically significant differences in MTT between infarct core<br />
and the two (viable and nonviable) penumbral regions, while others have<br />
demonstrated differences between all three regions or between the viable and<br />
nonviable penumbral regions. (Gonzalez et al., 2006).<br />
Correlation of Diffusion and Perfusion MRI with Clinical Outcome<br />
Attempts have been made to combine DWI and PWI by comparing lesion<br />
volumes identified by the 2 techniques. Diffusion-perfusion mismatches,” in which<br />
the lesion volumes identified by one modality are larger than those by the other,<br />
have been reported by several groups. Larger lesion enlargement of the acute DWI<br />
lesion volume in cases where the acute PWI volume is larger than the DWI lesion.<br />
In cases where the acute DWI lesion was larger than the PWI lesion, total lesion<br />
growth was reduced. Based on these observations, many have hypothesized that<br />
these DWI-PWI mismatches may allow identification of salvageable tissue in
individual patients (Wu et al, 2001).<br />
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Now that thrombolytic therapy is commonly employed in acute stroke<br />
management, predicting the extent to which acute infarcts will grow in the days<br />
following presentation is increasingly important. Intravenous or intra-arterial<br />
thrombolysis is capable of saving substantial quantities of brain tissue that<br />
otherwise would have undergone infarction, resulting in marked reduction of<br />
permanent neurologic deficits. However, thrombolysis also carries considerable<br />
risk of catastrophic intracranial hemorrhage. The decision of whether or not to<br />
accept this risk and proceed with thrombolysis is a highly individualized one. In<br />
making that decision, clinicians, patients and their families would benefit from an<br />
informed estimation of how much brain tissue will be affected, and how severe<br />
neurological deficits are likely to be, if thrombolytic therapy is not initiated (Davis<br />
et al, 2003).<br />
Diffusion and perfusion MRI in predicting clinical outcome (Gonzalez et al.,<br />
2006)<br />
1. DWI, CBV, CBF, MTT, and TTP initial lesion volumes all correlate with acute and chronic<br />
neurologic assessment tests. It’s unclear which parameter is best.<br />
2. DWI initial lesion volume correlation with outcome scales is higher for cortical than for<br />
penetrator artery strokes.<br />
3. Patients with a mismatch (proximal stroke) usually have worse clinical outcomes compared<br />
to patients without a mismatch (distal or lacunar stroke).<br />
4. Size of the diffusion–perfusion mismatch volume correlates with clinical outcome.<br />
5. Amount of decrease in size of MTT abnormality volume following intravenous<br />
thrombolysis correlates with clinical outcome.
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One of the strengths of MRI for imaging patient tissue is its ability to<br />
acquire information regarding its function as well as its structure. The most<br />
common example is the examination of flowing blood within the vascular network<br />
using MR angiography (MRA). Moving tissue was shown to produce severe image<br />
artifacts. MRA uses flowing tissue such as blood to provide the primary source of<br />
signal intensity in the image. It provides visualization of the normal, laminar flow<br />
of blood within the vascular system and its disruptions due to pathologic<br />
conditions such as stenoses or occlusions. MRA can be of particular benefit in<br />
evaluating vessel patency. MRA techniques have the advantage over conventional<br />
X-ray-based angiographic techniques in that use of a contrast agent is not always<br />
required. Consequently, multiple scans may be performed if desired (e.g.,<br />
visualizing arterial then venous flow) (Brown and Semelka, 2003).<br />
Magnetic resonance angiography (MRA) is a set of vascular imaging<br />
techniques capable of depicting the extracranial and intracranial circulation. In the<br />
setting of acute stroke, these techniques are useful for determining stroke etiology<br />
and assessing vascular flow dynamics. Specifically, they are used to evaluate the<br />
severity of stenosis or occlusion as well as collateral flow. A typical stroke<br />
protocol includes two-dimensional (2D) and/or three-dimensional (3D) time of-<br />
flight (TOF) and contrast-enhanced MRA images through the neck and 3D TOF<br />
MRA images through the Circle of Willis (Gonzalez et al., 2006).<br />
MRA is broadly divided into non contrast and contrast-enhanced<br />
techniques. Non contrast MRA can be acquired with phase contrast (PC) or TOF<br />
techniques, and both can be acquired as 2D slabs or 3D volumes (Gonzalez et al.,<br />
2006).<br />
Clinical Application of MRA in Stroke<br />
Magnetic resonance angiography (MRA) uses the inherent motion<br />
sensitivity of MRI to visualize blood flow within vessels. There are two major<br />
classes of flow imaging methods that rely on the endogenous contrast of moving<br />
spins to produce angiographic images.
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The time-of-flight (TOF) technique relies on flow dependent changes in<br />
longitudinal magnetization, whilst the phase-contrast (PC) technique relies on flow<br />
dependent changes in transverse magnetization. In addition there are contrast-<br />
enhanced MRA techniques that employ exogenous contrast agents, such as<br />
gadolinium chelates, to provide vascular contrast (McRobbie et al., 2006).<br />
MR angiography has recently been established as a valid and sensitive tool<br />
to demonstrate pathologic findings in extra- and intracranial arteries in acute stroke<br />
(Seitz et al, 2005).<br />
Extracranial Steno-occlusive diseases<br />
MRA of neck vessels is important in stroke management because<br />
extracranial atherosclerosis causes an estimated 20–30% of strokes (Gonzalez et<br />
al., 2006).<br />
Intracranial Steno-occlusive diseases<br />
In setting of acute stroke, information about the status of the intracranial<br />
arteries is critical to determination of stroke subtype and associated prognosis, and<br />
helps to determine the choice to employ thrombolytic therapy (Davis et al, 2003).<br />
In the setting of acute stroke, intracranial MRA can detect areas of stenosis<br />
and occlusion as well as determine collateral flow. Defining the location of<br />
intracranial vessel pathology is clinically important since an estimated 38% of<br />
patients with acute strokes have arterial occlusion seen on DSA (Gonzalez et al.,<br />
2006).<br />
The depiction of intracranial arterial stenosis by MRA requires a high<br />
sensitivity resolution technique, while the importance of an exact grading by MRA<br />
is not defined yet (Kummer and Back, 2006).<br />
Several studies report that intracranial MRA has a variable reliability of<br />
detecting occlusion and stenoses in the acute stroke setting (Gonzalez et al., 2006).<br />
In the diagnosis of intracranial stenosis, TOF MRA is definitely superior to<br />
PC-MRA protocols. Despite high anatomical resolution TOF-MRA does not allow<br />
an authentic quantification of intracranial vessel stenoses. Stenoses are commonly<br />
overestimated, especially in small vessels. Turbulences and velocity displacement
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effects depending on flow velocity and the tortuosity of a vessel cause false<br />
positive stenoses. Typical localizations of pseudostenoses are the carotid siphon<br />
and the bent entrance into the carotid canal. In CE-MRA the contrast medium<br />
limits spin saturation effects and very short echo times reduce the negative signal<br />
effect of turbulent flow patterns, whereby false positive intracranial stenosis can be<br />
identified. Currently, the spatial resolution of CE-MRA as obtained with sufficient<br />
signal-to-noise ratio and without relevant venous contrast overlap in the limited<br />
acquisition time is still significantly lower than that of TOF-MRA. Therefore, CE-<br />
MRA should be used intracranially as an add-on and not as a substitute for TOF-<br />
MRA (Kummer and Back, 2006).<br />
Time of flight MRA also has limitations. Whereas spatial resolution is<br />
adequate for the primary branches of the Circle of Willis, it is less so in the more<br />
distal, smaller branches and the level of diagnostic confidence diminishes (Davis et<br />
al, 2003).<br />
The degree of collateral flow seen on DSA is an independent radiologic<br />
predictor of favorable outcome following thrombolytic treatment. TOF MRA,<br />
however, is limited in evaluation of collateral flow (Gonzalez et al., 2006).<br />
A dedicated analysis of collateral circulations, especially extra-<br />
intracranially, is still the domain of DSA as far as the exact depiction of anatomical<br />
connections is of importance. If the exact anastomotic vascular anatomy is not of<br />
primary interest, the collateral supply is better determined by MR perfusion<br />
techniques Kummer and Back, 2006).<br />
Arterial Dissection<br />
Vascular dissection is an important etiology of acute infarction, causing up<br />
to 20% of infarcts in young patients and an estimated 2.5% of infarcts in the<br />
overall population (Gonzalez et al., 2006).<br />
Dissections occur post-traumatically or spontaneously, in conjunction with<br />
hypertension or with migraine, often with fibromuscular dysplasia or with other<br />
connective tissue diseases (Kummer and Back, 2006).<br />
MRI reveals a crescentic intramural hyperintensity on both T1- and T2-<br />
weighted images (Davis et al, 2003).Acute dissections show luminal narrowing on
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MRA and a flap can occasionally appear as a linear low signal defect on MRA<br />
(Gonzalez et al., 2006).<br />
Aneurysm<br />
Both MRA and CTA have been reported to be accurate tests for intracranial<br />
aneurysms, although the sensitivity diminishes greatly for smaller lesions. MRA is<br />
not a complete replacement for X-ray angiography. The accuracy of MRA might<br />
be sufficient to screen patients who are at risk for intracranial aneurysms (Davis et<br />
al, 2003).<br />
Vascular malformation<br />
MRI depicts the nidus of a vascular malformation, whereas MRA depicts<br />
the feeding arteries and draining veins. However, image quality is not sufficient to<br />
obviate the need for selective X-ray angiography prior to intervention. Contrast<br />
enhanced 3D MRA should provide more complete evaluation. When compared<br />
with DSA, the authors reported that CE 3DMRA consistently depicted AVM<br />
components and their orientation (Davis et al, 2003).<br />
Moya Moya<br />
The term moya moya refers to primary moya moya disease and moya moya<br />
pattern, associated with an underlying disease such as atherosclerosis or radiation<br />
therapy. There is an increased incidence of primary moya moya disease in Asians<br />
and in patients with neurofibromatosis or sickle cell disease. Pathologically, there<br />
is a progressive occlusive vasculopathy of the supraclinoid internal carotid artery<br />
with extension into the proximal anterior and middle cerebral arteries associated<br />
with characteristic dilated prominent collateral vessels. Pediatric patients with<br />
moya moya disease tend to develop symptoms from acute infarction while adults<br />
with moya moya disease more frequently present with symptoms from intracranial<br />
hemorrhage into the deep gray nuclei. MRA can depict stenoses and occlusion of<br />
the internal carotid, middle cerebral, and anterior cerebral arteries (Gonzalez et al.,<br />
2006).<br />
Vasculitis<br />
Patients with vasculitis develop ischemic and thrombotic infarctions. There
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is also altered wall competence, which can result in dissection or vessel wall<br />
disruption with intracranial hemorrhage. MRA is clinically used to screen for<br />
vasculitis, but is less sensitive than DSA (Gonzalez et al., 2006)<br />
Although for a long time DSA was accepted as a diagnostic gold standard,<br />
MRI and MRA obviously provide the advantage not only to depict stenoses, but<br />
also to provide signs of inflammatory vessel disease. This provides new criteria for<br />
therapy monitoring. An appropriate examination consists of a CE-MRA, as well as<br />
acquisition of spin echo images (Kummer and Back, 2006).<br />
Fibromuscular Dysplasia<br />
Fibromuscular dysplasia (FMD) is a disease of medium-sized vessels,<br />
beginning in young to middle-aged patients with predominance among females<br />
(Kummer and Back, 2006).<br />
Fibromuscular dysplasia (FMD) is an uncommon idiopathic vasculopathy<br />
causing stenoses most often in the renal and internal carotid arteries, and patients<br />
with FMD of the neck vessels can present with infarcts or transient ischemic<br />
attacks (Gonzalez et al., 2006).<br />
FMD manifests through dissections or hyperplasia of the vessel walls with<br />
resulting stenosis. Stenosis and dilations with thinning of vascular walls alternate<br />
over longer distances, occasionally with aneurysms or luminal duplications. On<br />
DSA, this type of lesions was described as “string of beads”. The carotid artery is<br />
often affected bilaterally, mostly sparing the bifurcation. There is an elevated<br />
incidence of intracranial aneurysms and additionally arteriovenous fistulae can<br />
occur.<br />
MRA can provide evidence of dissections with high sensitivity and of<br />
alternating arterial dilatation and stenosed vessels. MRA may also to help identify<br />
the string of beads pattern. In source images of TOF-MRA, segmental changes in<br />
arterial wall thickness, however, are detected to only a limited extent (Kummer<br />
and Back, 2006).
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MR spectroscopy enables non-invasive in vivo study of some phases of<br />
brain metabolism. It is based on the same principles as conventional MR, except<br />
that it envisages signal processing during and after sequence acquisition. Whereas<br />
in standard MR the signal intensity is the sum of the signals from all the hydrogen-<br />
containing molecules in a given volume, in spectroscopy the signal from a given<br />
nucleus is separated into its chemical components (Salvolini and Scarabino,<br />
2006).<br />
Clinical Application of MRS in Stroke<br />
The techniques used most often in clinical practice, are proton spectroscopy<br />
(1H MRS) and phosphor spectroscopy (3IP MRS)-those nuclei play the crucial role<br />
in metabolic turn over. The first gives information about various metabolic<br />
disorders (acethyl-aspartate acid- nervous cells marker, creatinin- related to<br />
metabolic changes, choline- element of cell membranes, lactates- markers of<br />
anaerobic metabolism). The second enables evaluation of energetic condition of<br />
the cells (phosphate compounds, mono-and biphosphate, phosphor-creatinin,<br />
adenosine triphosphate ATP) (Kaminska et al, 2007).<br />
However, not all metabolites contain phosphorus, and the MR application of<br />
this nucleus has been restricted to the study of energy and lipid metabolism. In the<br />
brain, [1H]-MRS has two great advantages: the proton provides 15 times more<br />
sensitivity than [31P]-MRS and almost every compound in living tissue contain<br />
hydrogen (Davis et al, 2003).<br />
Single Voxel Spectroscopy<br />
The practical use of in vivo MRS requires a method, which enables<br />
registering the spectrum of selected volume, called the "volume of interest" (VOI)<br />
or voxel.<br />
Multi- Voxel Spectroscopy (Chemical Shift Imaging-CSI)<br />
The CSI technique, which visualizes the chemical shift in one measurement<br />
period, it collects spectroscopic signals from multiple small voxels located within a<br />
large examined area. The registered signals form a map of spatial distribution of
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the metabolites. The signals from particular voxels can be shown as spectra and<br />
further analyzed, like in the SVS (Kaminska et al, 2007).<br />
The normal [1H]-MRS spectrum<br />
Histochemical and cell culture studies have shown that specific cell types or<br />
structures have metabolites that give rise to particular [1H]-MRS peaks. A change<br />
in the signal intensity of the peaks may reflect loss or damage of the specific cell<br />
type or a change in the NMR visibility of the metabolite (Davis et al, 2003).<br />
A typical MRS spectrum of adult brain is shown in figure 41 (spectra vary<br />
for newborns, children under 8 years and elderly). The spectrum is read from right<br />
to left with the first and tallest peak assigned to neuronal marker NA (N-<br />
acetylaspartate) resonating at 2 ppm. The second tallest resonance is Cr (creatine<br />
including phosphocreatine) resonating at ~3 ppm. Adjacent to the Cr peak is the<br />
smaller but important Ch (choline) peak. The ratio Ch/Cr of about 0.5 is<br />
characteristic of brain gray matter. Peaks corresponding to glucose and myoinositol<br />
(ml) are also seen in the spectrum of the normal adult brain (Davis et al, 2003).<br />
N-acetyl aspartate (2.01 ppm)<br />
The methyl resonance of NAA produces a large, sharp peak at 2.01 ppm.<br />
NAA is almost exclusively confined to neurons in the human brain, where it is<br />
found predominantly in axons and nerve processes. These cells represent only 2–3<br />
% of the glial population in man. The NAA peak therefore acts as a marker of<br />
healthy neurons. Reduction in the size of the NAA peak provides a useful indicator<br />
of neuronal disease or loss, including infarction after stroke.<br />
In children, the interpretation of the NAA signal is complicated by<br />
increases in the concentration of NAA during development when it is thought to<br />
have a role in supplying acetyl groups for myelin synthesis. In adults, the<br />
concentration is known to vary in different areas in the brain. For example, the<br />
concentration of NAA is higher in grey than white matter, which is explained by<br />
the higher neuronal density in grey matter. This can be overcome in the study of<br />
stroke patients by comparing spectra from an area of suspected abnormality with<br />
spectra from a homologous region of the contralateral normal hemisphere (Davis et<br />
al, 2003).
Creatine (3.94 and 3.03 ppm)<br />
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Both creatine and phosphocreatine have signals at 3.94 ppm (methylene<br />
singlet) and 3.03 ppm (methyl singlet) which makes it impossible to distinguish<br />
between the two compounds and therefore total creatine (Cr/PCr) signals are<br />
measured by [1H]-MRS. Other resonances seen at 3.00 ppm arise from the γ-<br />
amino butyric acid (GABA) and cytosolic macromolecules, which become<br />
incorporated into the Cr/PCr peak. Cr/PCr is found in both neurons and glial cells<br />
and acts as a phosphate buffer transport system and energy buffer within the cell.<br />
Little information can be gleaned about phosphocreatine metabolism because the<br />
signal comes from the sum of creatine and phosphocreatine. The complete absence<br />
of creatine signal probably reflects necrotic tissue (Davis et al, 2003).<br />
Choline (3.22 ppm)<br />
The trimethylamine resonance of choline-containing compounds is present<br />
at 3.22 ppm. In normal brain, the Cho peak is thought to consist predominantly of<br />
glycerolphosphocholine and phosphocholine.<br />
Both compounds are involved in membrane synthesis and degradation.<br />
Reduction in the choline peak has been proposed as a marker of membrane damage<br />
(Davis et al, 2003).<br />
Lipid/macromolecule resonances<br />
Lipid peaks are detectable by short echo proton spectroscopy but are not<br />
seen at long echo times because they have short T2 decay constants and so the<br />
signal is lost at longer repetition times.<br />
Lipid/macromolecule peaks have been assigned at 0.9, 1.3 and 1.45 ppm in<br />
normal appearing brain .Increase in these resonances have been reported in stroke<br />
and demyelination. The 0.9 and 1.3 ppm resonances are assigned to the methylene<br />
and methyl groups of lipid, respectively (Davis et al, 2003).
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Fig.41 (Davis et al, 2003) Short echo time proton spectra (TE=30 ms,<br />
TR=2020 ms) obtained normal hemisphere.<br />
[H] MRS changes in cerebral ischemia<br />
MRS has been suggested to be more sensitive than MRI in detecting<br />
hypoxic damage. It has been proposed that MRS may be able to detect cerebral<br />
ischemia within seconds of its onset as compared to DWI that provides warning as<br />
early as 1 h after the onset (Davis et al, 2003).<br />
The most striking changes in patients with acute cerebral infarction on MRS<br />
is the appearance of lactate with reduction in NAA and total Cr/PCr within the<br />
infarct compared to the contralateral hemisphere. Large variations in the initial<br />
concentrations of Cho have been observed in the region of infarction (Davis et al,<br />
2003).<br />
The presence of a significant quantity of blood in the brain disrupts the<br />
homogeneity of the magnetic field due to the presence of the iron from the<br />
hemoglobin molecule, and spectroscopy cannot be carried out in patients with<br />
large intracerebral hemorrhages. However, it is possible to sufficiently shim the<br />
magnetic field away from areas of hemorrhagic transformation or subarachnoid<br />
hemorrhage and acquire spectra of acceptable line widths. Petechial hemorrhage<br />
may result in spectra with broader line widths due to field inhomogeneity, but the
spectra may still be of acceptable quality (Davis et al, 2003).<br />
Lactate (doublet at 1.33 ppm)<br />
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The detection of lactate on MRS, an end product of glycolysis, is a<br />
particularly useful measure of anaerobic metabolism. Lactate is not detected by<br />
MRS in normal brain. The concentration of lactate rises when the glycolytic rate<br />
exceeds the tissue’s capacity to catabolize it or remove it from the bloodstream.<br />
The rise in brain lactate that results from the mismatch between glycolysis and<br />
oxygen supply has been demonstrated by numerous [1H]-MRS experiments,<br />
making it an important hallmark for the detection of cerebral ischemia. The<br />
persistence of lactate for weeks or months after stroke onset is a common<br />
observation. Removal of lactate depends on the permeability of the blood–brain<br />
barrier (BBB) and diffusion of the metabolite through the damaged tissue. A fall in<br />
lactate concentration has been shown to occur during a period of hyperemia.<br />
Spectroscopic imaging studies have demonstrated that lactate is not confined to<br />
areas of infarction determined by T2-weighted imaging and in one study was even<br />
found in the contralateral hemisphere. In this study, the lactate levels in regions<br />
adjacent to infarcts as shown by T2 changes were not significantly different from<br />
those found in the infarcted brain. It seems likely that this is the result of diffusion<br />
of lactate out of the infarct, but the extent to which there is local production of<br />
lactate in peri-infarct tissue remains uncertain (Davis et al, 2003).<br />
Unfortunately, measurements within the core and penumbra of an infarct are<br />
not definitely different; moreover, the presence of Lac has a differential diagnosis<br />
including abscess. Lac evolution and/or resolution may be observed with or<br />
without an associated infarct (Gonzalez et al., 2006).<br />
NAA (2.01 ppm)<br />
Decreased NAA is most consistent with neuronal degradation, may occur<br />
very early in ischemia, is likely irreversible (as opposed to disease processes such<br />
as demyelination), and may continue for days to weeks even after the cessation of<br />
ischemia (Gonzalez et al., 2006).<br />
The continuing fall in NAA concentration over the course of the first week<br />
after stroke onset cannot be explained simply by an increase in edema because
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Review of literature<br />
changes in the concentration of water within the infarct have been corrected for by<br />
using the contralateral water signal as the internal standard. It has been suggested<br />
that NAA is actively degraded by enzymes within the injured neurones in the first<br />
few days or hours following infarction. This remains a possibility but it seems<br />
unlikely that enzymes would remain active for up to 7–10 days within an ischemic<br />
neurone. The gradual decline in NAA concentration and the persistence of lactate<br />
within the region of infarction over a period of a number of days may suggest a<br />
period of ongoing ischemia and has implications in the timing of therapeutic<br />
intervention. Alternatively, it may reflect breakdown of NAA, removal by<br />
phagocytosis or diffusion, or alteration in the physicochemical surrounding of the<br />
metabolite associated with cell dissolution so that it is no longer MRS visible<br />
(Davis et al, 2003).<br />
Correlation of NAA concentration to infarct size (volume) allows a better<br />
prediction of morbidity/ outcome than does either NAA concentration or infarct<br />
volume alone (Gonzalez et al., 2006).<br />
Cr/PCr (3.94 and 3.03 ppm)<br />
Initial reductions in Cr/PCr are identified following infarction and further<br />
reductions have been demonstrated up to 10 days following the time of onset. The<br />
pathological correlate is thought to be gliosis of the tissue. The reduction in NAA<br />
in the infarct region is more marked than the reduction in Cr/PCr and this is<br />
thought to reflect the increased sensitivity of neurons to ischemia, compared to<br />
glial tissue (Davis et al, 2003).<br />
Choline (3.22 ppm)<br />
The choline peak has been shown to be increased, decreased and stays the<br />
same following cerebral infarction. The changes in the choline peak are thought to<br />
reflect changes in the MR visibility of the choline containing compounds that make<br />
up the cell membrane. (Davis et al, 2003) have shown a fall and then a late rise,<br />
maximal 3 months after onset of stroke.This may represent loss of membrane<br />
function, followed by late gliosis (Davis et al, 2003).<br />
Glutamate and other amino acids<br />
It would be useful to be able to measure the concentration of excitotoxic
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amino acids, such as glutamate and glutamine, which are released in ischemia and<br />
may be responsible for neuronal injury in the penumbra. Glutamate and glutamine<br />
have strongly coupled spins and the chemical shift of 2.1–2.5 ppm at 1.5T overlaps<br />
with the NAA peak. Other amino acids, such as GABA, aspartate and alanine are<br />
also difficult to detect because of their low concentrations and/or overlap with<br />
more intense resonances from other compounds (Davis et al, 2003).<br />
Lipids/macromolecules<br />
Signals from lipids pose particular problems in [1H]-MRS by obscuring the<br />
resonances from the methyl group of lactate. It has been postulated that membrane<br />
lipids in the brain under normal conditions are not mobile enough to generate sharp<br />
spectral peaks in vivo. During ischemia, degradation of the membrane leads to the<br />
release of free fatty acids that produce well defined, but broad, resonances in the<br />
region of the lactate peak with resulting difficulties in the accurate quantification<br />
of lactate. The ‘metabolite nulling’ technique has been used to separate the lipid<br />
from the lactate signal (Davis et al, 2003).<br />
Advantages of MR spectroscopy:<br />
1. Potentially quantitative if external standards are used in addition to<br />
measurements on the patient (however, this may increase the time of the<br />
examination and further delay diagnosis and treatment of stroke – a<br />
liability).<br />
2. May be easily combined with conventional MR imaging, MR angiography,<br />
PWI and diffusion weighted imaging; these techniques are complementary.<br />
3. May be repeated immediately.<br />
4. No ionizing radiation exposure.<br />
5. Could theoretically improve differentiation in specific situations where the<br />
differential diagnosis includes tumor.<br />
6. Could potentially provide a surrogate marker for guiding stroke<br />
Liabilities<br />
thrombolysis (Gonzalez et al., 2006).<br />
1. The patient must have MR compatibility (that is, no pacemaker, cochlear<br />
implant, neurostimulator, etc.).
2. Motion artifact obviates interpretation.<br />
3. Low spatial resolution.<br />
4. Perfusion data are unavailable.<br />
5. Typically, the entire brain is not imaged.<br />
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6. Not all sites will have MR scanners readily available; furthermore, not all<br />
medical facilities will be able to offer this service round the clock (Gonzalez<br />
et al., 2006).
Patients and Methods<br />
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Patients & Methods<br />
This study was performed in the period from October 2007 till October<br />
2009 in Zagazig University Hospitals. Patients we referred from Emergency<br />
Unit, General Medicine and Neurology Departments. It included 50 stroke<br />
patients, 32 males and 18 females. Their ages ranged from 19 to 90 years.<br />
All patients were subjected to the following:<br />
1- Full history taking (from the patients or their relatives).<br />
*Accurate onset of neurological manifestation.<br />
*History of hypertension, diabetes mellitus, trauma or bleeding tendency.<br />
*Previous attacks of stroke.<br />
*Past history of allergy against contrast media like Gd-DTPA.<br />
2- Clinical assessment (by neurologist).<br />
3- Laboratory assessment (if needed) as:<br />
*Arterial blood gases to exclude electrolyte imbalance.<br />
*Blood sugar to exclude diabetic coma.<br />
*Prothrombin time.<br />
4- Computed tomography was performed on GE Hi-speed using axial cuts<br />
then the patients are divided into two groups according to the CT findings:<br />
a) Hemorrhagic stroke patients including 11 patients with intracerebral,<br />
intraventricular or subarachnoid hemorrhage.<br />
b) Ischemic stroke patients including 39 patients with or without evidence<br />
of infarction at CT.<br />
5- MR Imaging using Philips Achieva system (1.5 T).<br />
Ischemic stroke group<br />
These patients are chronologically classified into several groups:<br />
hyperacute (1 st 6 hours), Acute (6-24 hours), Early subacute (1-7 days), late<br />
subacute (1-2 weeks) and chronic (>2weeks) stages.
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Patients & Methods<br />
Then all these patients (39 patients) were subjected to the following MRI<br />
sequences:<br />
1) Axial T1WI (TR148-597/TE2-15).<br />
2) Axial T2WI (TR4400-4800/TE110).<br />
3) Coronal T2WI (TR4400-4800/TE110).<br />
4) Axial Fluid attenuation inversion recovery (FLAIR) (TR6000/TE120-<br />
TI2000) for all ischemic stroke patients (39 patients).<br />
The previous sequences are done with slice section 5 mm with 1mm gap and<br />
Field of view (FOV) 230mm.<br />
5) Diffusion Weighted image (DWI) for all ischemic stroke patients (39<br />
patients):<br />
*The patients position is the same examining position of the brain MRI in the<br />
supine position with head coil.<br />
*Diffusion-weighted images were obtained using a multisection, single-shot<br />
echo-planar imaging sequence.<br />
*Section thickness was 5 mm with a gap of 1 mm. The number of sections was<br />
set to include the whole brain (average, 22). Matrix size was256 x128 ,(3100-<br />
3400/98-99/1 [TR/TE/excitation]), flip angle 90 degree and FOV 230mm .<br />
*Sensitization gradients are sequentially applied in the X, Y and Z planes.3 sets<br />
of images corresponding to sequential application of the sensitization gradient<br />
(b=1000) in the X, Y and Z planes, and a last set corresponding to the average<br />
images at b=1000. Typically, only 2 sets of images are used in clinical practice:<br />
the b=0 T2W images and the b=1000 average images. Scanning time was 1<br />
minute 15 seconds.<br />
*Apparent diffusion coefficient (ADC) maps were automatically calculated by<br />
MRI machine soft ware and included in the sequence.
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Patients & Methods<br />
*Post Processing of DWI: region of interest (ROI) was selected in the area of<br />
infarction and comparative normal brain tissue.<br />
6) Perfusion weighted images (PWI) : for 17 (8 hyperacute, 8 acute and 1<br />
chronic) ischemic stroke patients.<br />
*The patients position is the same examining position of the brain MRI in the<br />
supine position with head coil.<br />
Perfusion-weighted images were obtained following administration of a bolus<br />
of gadopentetate dimeglumine 15 ml, the injection was performed by MRcompatible<br />
power injector at a speed of 4 mL/s followed by 20 ml of normal<br />
saline delivered via a large-bore cannula in the antecubital fossa. Imaging<br />
sequence at 26/19/1 (TR/TE/excitation) and flip angle of 7 degrees was used.<br />
(30) sections were obtained. Section thickness was3.5 mm with a 0 mm gap<br />
(matrix, 256 x 128; FOV 220 mm). Images were obtained at 60 time points per<br />
section with average scanning time 1 minute 24 seconds.<br />
Postprocessing of perfusion data: PWI images are transferred to workstation<br />
then color maps (TTP, MTT, T0) are generated automatically then the<br />
concentration time curve is obtained which represent the changes occurred.<br />
Firstly, ROI puts in the contralateral normal hemisphere as control normal<br />
region, and then multiple ROIs put in the different region of the lesion and<br />
surrounding it to see the extension of the lesion.<br />
Then obtaining of the quantitative measures of each ROI automatically or from<br />
the intensity time curve.<br />
7) Post contrast T1WI :for 11 patients of ischemic stroke patients.
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Patients & Methods<br />
8) 2D & 3D time of flight MR angiography (TOF MRA) :TR:23-25, TE:7 ,<br />
flip angle 20 degree, FOV 170-250 mm , slice thickness 1mm with gap 0.5 mm<br />
for 37 patients of ischemic stroke patients.<br />
9) MR venography (MRV): for 1 patient of hemorrhagic infarction.<br />
10) MR spectroscopy (MRS): for 34 patients of ischemic stroke patients.<br />
MRS was performed using the head coil. After global shiming performed with<br />
standered nonselective shiming sequence, the volume of interest (VOI) was<br />
localized in the infarcted area, taking care to avoid the inclusion of normal<br />
tissue or cerebrospinal fluid, and in the corresponding non affected<br />
contralateral region. The water proton signal was suppressed by a preceding<br />
chemical shift-selective radiofrequency pulse. The proton specta were acquired<br />
by means of a double spine-echo sequence. After Fourier tansformation and<br />
zero order phase correction, the areas under the peaks were obtained by<br />
numerical integration. Baseline correction was performed for the purpose of<br />
presentation. Resonance were assigned as follows:<br />
*Lactate (Lac) containing compounds at 1.3 ppm.<br />
*Choline (Cho) containing compounds at 3.2 ppm.<br />
*Creatine-phosphocreatine (Cr) containing compounds at 3.02 ppm.<br />
*N-acetyle aspartate(NAA) containing compounds at 2.02 ppm.<br />
Correlation between DWI and PWI lesions:<br />
*In aid of the DWI (b0 and b1000) for detection of the site of the<br />
infracted area, on PWI ;the ROIs put in the center of the lesions (infracted<br />
core, if present) and surrounding area (penumbra) and measure T0, TTP<br />
and MTT of each ROI then compared with the normal ROI measures.
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Patients & Methods<br />
*DWI lesion volumes were determined by manually tracing the edge of<br />
the hyperintense signal on each slice of the trace DWI scans obtained at<br />
b=1000 s/mm 2 . The areas of hyperintensity were summed and multiplied<br />
with the slice thickness plus interslice gap to calculate the volume of the<br />
DWI abnormality. Then, volume of perfusion deficit measured from the<br />
TTP map in comparison with the contralateral side by the same method.<br />
DWI lesion volume is compared by PWI lesion volume. If the lesion<br />
volume in PWI is larger than DWI (DWI/PWI mismatch) subtraction of<br />
the DWI volume from PWI volume to obtain the penumbra volume.<br />
Hemorrhagic stroke group<br />
These patients are classified into several groups according to the site of<br />
hemorrhage : Intracerebral hemorrhage (7 patients), Subarachnoid hemorrhage<br />
(2 patients), Intraventricular hemorrhage (1 patient) and Intracerebral<br />
hemorrhage with intraventricular extension (1 patient).They are<br />
chronologically classified into hyperacute (1st 24 hours), acute stage for 2–3<br />
days, early subacute stage for 3–7 days, late subacute stage up to 2 weeks and<br />
chronic stage more than 2 weeks. Then these patients are subjected to the<br />
following MRI sequences:<br />
1) Axial T1WI .<br />
2) Axial T2WI .<br />
3) Axial Fluid attenuation inversion recovery (FLAIR).<br />
4) Axial Gradient images (T2*) (TR250/TE12).<br />
5) Diffusion Weighted image (DWI).<br />
6) 2D & 3D time of flight MR angiography (TOF MRA) for all hemorrhagic<br />
stroke patients and Phase contrast (Pc) MRA in 1 case of subarachnoid<br />
hemorrhage.
RESULTS<br />
RESULTS<br />
This study was performed on 50 patients .They were 32 males<br />
(64%) and 18 females (36%).Their ages ranged from 19to 90 years.<br />
Table (4):Age & Sex distribution among our patients.<br />
Age group<br />
(years)<br />
Age<br />
Patient<br />
NO.<br />
10- 1 2<br />
20- 1 2<br />
30- 1 2<br />
40- 8 16<br />
50- 11 22<br />
60- 19 38<br />
70- 7 14<br />
80- 2 4<br />
sex<br />
% sex Patient<br />
NO.<br />
Male<br />
Female<br />
Total 50 100 50 100<br />
The most common age group was 60-70 years (19 patients-38%) with<br />
mean age 59.6±14.1 years.<br />
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32<br />
18<br />
%<br />
64<br />
32
Table (5) Clinical presentation of our patients<br />
Clinical presentation No of<br />
patients<br />
RT sided hemiparesis 9 18<br />
RT sided hemiparesis with aphasia 4 8<br />
RT sided hemiplegia 10 20<br />
RT sided hemiplegia with aphasia 5 10<br />
LT sided hemiparesis 6 12<br />
LT sided hemiplegia 10 20<br />
Quadriparesis 4 8<br />
Headache with neck rigidity 2 4<br />
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RESULTS<br />
%
RESULTS<br />
Most of our cases were exposed to different risk factors<br />
including Hypertension, Ischemic heart disease, Diabetes mellitus,<br />
Hyperlipidaemia and smoking . Multiple risk factors can coexist in<br />
same patient.<br />
Table (6): Risk factors among our patients<br />
Risk factors No. Of patient %<br />
Hypertension 15<br />
Ischemic heart disease<br />
Ischemic heart disease with<br />
atrial fibrillation<br />
Diabetes mellitus<br />
Hyperlipidaemia<br />
Smoking 6<br />
7<br />
30<br />
14<br />
5 10<br />
Hypertension was the most common risk factor seen in 15 patients<br />
(30% of patients).<br />
9<br />
7<br />
-90-<br />
18<br />
14<br />
12
RESULTS<br />
Our patients were classified into 2 groups; Ischemic and Hemorrhagic<br />
stroke.<br />
Table (7): Classification of our patient:<br />
Type of stroke No. of patients %<br />
Ischemic stroke<br />
Hemorrhagic stroke<br />
Total 50 100<br />
39<br />
11<br />
Ischemic stroke patients were 39 patients (78%) however hemorrhagic<br />
stroke were 11 patients (22%).<br />
-91-<br />
78<br />
22
Ischemic stroke patients were classified into several groups<br />
according to the age of stroke.<br />
RESULTS<br />
Table (8):Chronological classification of ischemic stroke patients:<br />
Stage of infarction No. of patients %<br />
Hyperacute (1 st 6 hours). 10 25.6<br />
Acute (6-24 hours). 12 30.8<br />
Early subacute (1-7 days). 4 10.3<br />
Late subacute(1-2 weeks). 5 12.8<br />
Chronic (> 2 weeks). 8 20.5<br />
Total 39 100<br />
-92-
RESULTS<br />
Our ischemic stroke patients are subjected to different MRI<br />
sequences.<br />
Type of infarction<br />
Table (9): Different MRI sequences in ischemic stroke patients.<br />
No. of<br />
patient<br />
T1 T2 FLAIR MRA DWI PWI PCT1 MRV MRS<br />
Hyperacute 10 10 10 10 10 10 8 5 - 10<br />
Acute 12 12 12 12 12 12 8 4 - 10<br />
Early subacute 4 4 4 4 4 4 - - - 4<br />
Late subacute 5 5 5 5 3 5 - - 1 2<br />
Chronic 8 8 8 8 8 8 1 1 - 8<br />
Total<br />
%<br />
39 39 39 39 37 39 17 10 1 34<br />
100 100 100 100 95 100 46 26 2.6 87<br />
Perfusion weighted imaging (PWI) was done in only 17<br />
patients to show the presence or absence of the ischemic but<br />
still viable tissue (ischemic penumbra).<br />
Postcontrast T1(PCT1) was done in 10 patients only and<br />
showed arterial enhancement in 5 patients out of them.<br />
-93-
Stage of<br />
stroke Intensity Pt<br />
Hyperacute<br />
(10)<br />
RESULTS<br />
Table (10): Appearance of different ischemic stroke stages at<br />
different MRI sequences.<br />
*Not appear<br />
*Subtle intense<br />
Acute (12) *Not appear<br />
Early<br />
subacute(4)<br />
Late<br />
subacute(5)<br />
*Subtle intense<br />
*hyperintense<br />
T2WI FLAIR DWI(b0) DWI(b1000) Exponential image ADC<br />
No<br />
3<br />
9<br />
1<br />
2<br />
7<br />
Intensity Pt<br />
*Not appear<br />
*Subtle intense<br />
No<br />
6<br />
4<br />
Intensity Pt<br />
*Not appear<br />
*Subtle<br />
intense<br />
*Hyperintense 11 *Not appear<br />
*Subtle<br />
intense<br />
*hyperintense<br />
No<br />
1<br />
7<br />
3<br />
9<br />
2<br />
Intensity Pt<br />
*hyperintense<br />
ẽ brightness<br />
*hyperintense<br />
ẽ brightness<br />
No<br />
Intensity Pt<br />
No<br />
Intensity Pt<br />
No<br />
10 *hyperintense 10 hypointense 10<br />
12 *hyperintense 12 hypointense 12<br />
*hyperintense 4 *Hyperintense 4 *Hyperintense 4 *hyperintense 4 *hyperintense 4 hypointense 4<br />
*hyperintense 5 *Hyperintense 5 *Hyperintense 5 *hyperintense 5 *isointense 5 isointense 5<br />
Chronic(8) *hyperintense 8 *Hyperintense 8 *Hyperintense 8 *isointense<br />
-94-<br />
*hypointense<br />
6<br />
2<br />
*hypointense 8 hyperintense 8
stroke<br />
Table (11): Different ADC values in hyperacute ischemic<br />
Patient No ADC in infarction<br />
(10 -6 mm 2 /sec)<br />
ADC of contralateral<br />
normal area<br />
(10 -6 mm 2 /sec)<br />
1 354.62 814.95<br />
2 473.25 838.38<br />
3 480.54 959.51<br />
4 494 747.47<br />
5 370.72 731.85<br />
6 428.25 834.19<br />
7 405.49 722.03<br />
8 415.11 754.09<br />
9 320.82 790.60<br />
10 501.67 809.14<br />
RESULTS<br />
The mean ACD at the infarction site in hyperacute stage<br />
was 423.5410±63.7865 (mean±SD) while the mean ADC of the<br />
contralateral normal area was 800.2200±69.9746. There is a<br />
highly statistical significant difference between the ADC in<br />
infarction and contralateral normal site using T-test; t=15.383,<br />
p< 0.001.<br />
-95-
Table (12): Different ADC values in acute ischemic stroke<br />
Patient No ADC in infarction<br />
(10 -6 mm 2 /sec)<br />
ADC of contralateral<br />
normal area<br />
(10 -6 mm 2 /sec)<br />
1 314.46 839.77<br />
2 363.02 823.91<br />
3 351.07 1155.22<br />
4 377.90 926.17<br />
5 367.72 1023.41<br />
6 236.71 668.48<br />
7 356.07 808.01<br />
8 319.14 739.22<br />
9 401.76 803.72<br />
10 235.25 762.23<br />
11 229.56 878.66<br />
12 342.11 911.87<br />
RESULTS<br />
The mean ACD at the infarction site in acute stage was 324.5642±59.5444<br />
while the mean ADC of the contralateral normal area was 869.9808±132.9708.<br />
There is a highly statistical significant difference between the ADC in infarction<br />
and contralateral normal site using T-test; t=15.555, p< 0.001.<br />
-96-
RESULTS<br />
Table (13): Different ADC values in early and late subacute ischemic<br />
stroke<br />
stage Patient<br />
No<br />
ADC in infarction<br />
(10 -6 mm 2 /sec)<br />
ADC of contralateral<br />
normal area<br />
(10 -6 mm 2 /sec)<br />
Early subacute 1 373.63 661.61<br />
Early subacute 2 434.03 689.42<br />
Early subacute 3 667.94 822.73<br />
Early subacute 4 617.03 788.46<br />
Late subacute 1 872.54 816.92<br />
Late subacute 2 743.32 751.44<br />
Late subacute 3 831.25 823.69<br />
Late subacute 4 894.67 911.95<br />
Late subacute 5 851.29 834.55<br />
The mean ACD at the infarction site in early subacute stage was<br />
525.6575±144.9676 while the mean ADC of the contralateral normal area was<br />
740.5550±77.2328. There is a highly statistical significant difference between the<br />
ADC in infarction and contralateral normal site using T-test; t=6.340, p= 0.008.<br />
The mean ACD at the infarction site in late subacute stage was<br />
838.6140±58.2862 while the mean ADC of the contralateral normal area was<br />
827.7100±57.2120. There is no statistical significant difference between the ADC<br />
in infarction and contralateral normal site using T-test; t=0.862, p= 0.437.<br />
-97-
Table (14): Different ADC values in chronic ischemic stroke<br />
Patient No ADC in infarction<br />
(10 -6 mm 2 /sec)<br />
ADC of contralateral<br />
normal area<br />
(10 -6 mm 2 /sec)<br />
1 1647.25 757.88<br />
2 1312.49 838.20<br />
3 3023.26 785.62<br />
4 1597.53 719.24<br />
5 1675.18 856.23<br />
6 1241.05 794.64<br />
7 1164.29 958.45<br />
8 2845.90 908.23<br />
The mean ACD at the infarction site in chronic stage was<br />
RESULTS<br />
1813.3688±719.4211 while the mean ADC of the contralateral normal<br />
area was 827.3112±79.2877. There is a highly statistical significant<br />
difference between the ADC in infarction and contralateral normal site<br />
using T-test; t=3.845, p= 0.006.<br />
-98-
RESULTS<br />
Table(15): Correlation between Mean ADC at the infarction<br />
and contralateral normal site in different ischemic stroke stages using<br />
Paired T test.<br />
Stage Patient<br />
No<br />
ADC in<br />
infarction<br />
[x - ±SD]<br />
(10 -6 mm 2 /sec)<br />
Hyperacute 10 423.5410±<br />
63.7865<br />
Acute 12 324.5642±<br />
Early<br />
subacute<br />
Late<br />
subacute<br />
4<br />
5<br />
59.5444<br />
525.6575±<br />
144.9676<br />
838.6140±<br />
58.2862<br />
Chronic 8 1813.3688±<br />
x - : is the mean<br />
719.4211<br />
SD: is the standered deviation.<br />
-99-<br />
ADC in<br />
contralateral<br />
normal site<br />
[x - ±SD]<br />
(10 -6 mm 2 /sec)<br />
800.2200±<br />
69.9746<br />
869.9808±<br />
132.9708<br />
740.5550±<br />
77.2328<br />
827.7100±<br />
57.2120<br />
827.3112±<br />
79.2877<br />
Paired T-<br />
test<br />
P value<br />
15.383
RESULTS<br />
Table(16):ADC and rADC correlation with different stages of infaction<br />
using ANOVA (f):<br />
ADC in infarction<br />
[x - ±SD]<br />
(10 -6 mm 2 /sec)<br />
rADC in infarction<br />
[x - ±SD]<br />
Hyperacute 423.5410± 63.7865 0.5308± 0.0899<br />
Acute 324.5642± 59.5444 0.3765± 0.06954<br />
Early subacute 525.6575± 144.9676 0.7002± 0.1231<br />
Late subacute 838.6140± 58.2862 1.0135± 0.03422<br />
normal site".<br />
Chronic 1813.3688± 719.4211 2.2094± 0.8806<br />
ANOVA (f) 28.193 28.280<br />
P value
RESULTS<br />
Fig 42(a)Scatterplot between the groups (stages) of ischemic stroke and<br />
ADC, (b)Scatterplot between the stages of ischemic stroke and rADC(ADC ratio)<br />
where 1 is hyperacute , 2 is acute stage ,3 is early subacute, 4 is late subacute and<br />
5 is chronic stages.The rADC starts to decrease (
RESULTS<br />
Most of hyperacute and acute ischemic stroke patients (17 patients)<br />
are subjected to PWI.<br />
17 patients.<br />
Table (17): Relation between lesion volumes in DWI & PWI in<br />
Pattern No of patient<br />
PWI > DWI (diffusion<br />
perfusion mismatch with<br />
penumbrae)<br />
PWI = DWI (matched)<br />
Hyperacute (5 patients)<br />
Acute (3 patients)<br />
Hyperacute (2 patients)<br />
Acute (3 patients)<br />
Chronic (1 patient)<br />
8<br />
6<br />
Arterial<br />
distribution<br />
ICA(1 patient)<br />
MCA(6patients)<br />
PCA(1 patient)<br />
ICA(1 patient)<br />
MCA(3patients)<br />
PCA(1 patient)<br />
ACA(1 patient)<br />
PWI < DWI Acute 2 MCA(2patients)<br />
DWI but no PWI Hyperacute 1 Pontine branch 0f<br />
basilar artery (1<br />
Total 17<br />
-102-<br />
patient)
RESULTS<br />
Table (18): Mean transit time (MTT) values in patients with<br />
diffusion perfusion mismatch.<br />
Patient<br />
No.<br />
Stage MTT at<br />
penumbra(sec)<br />
MTT at normal<br />
contralateral<br />
area(sec)<br />
1 Hyperacute 19 11.5<br />
2 Hyperacute 22 16<br />
3 Hyperacute 13 6<br />
4 Hyperacute 16.5 10.2<br />
5 Hyperacute 17.7 9.4<br />
6 Acute 18 11<br />
7 Acute 19.6 11.4<br />
8 Acute 15.2 9.3<br />
The mean MTT at penumbra in diffusion perfusion<br />
mismatched cases was 17.6250±2.7675 while the mean MTT of<br />
the contralateral normal area was 10.6000±2.8087. There is a<br />
highly statistical significant difference between the MTT at<br />
penumbra and contralateral normal site using T-test; t=21.329,<br />
p< 0.001.<br />
-103-
Table (19): Time to peak (TTP) values in patients with<br />
diffusion perfusion mismatch.<br />
Patient<br />
No.<br />
Stage TTP at<br />
penumbra(sec)<br />
RESULTS<br />
TTP at normal<br />
contralateral<br />
area(sec)<br />
1 Hy.peracute 49 44<br />
2 Hyperacute 72 60<br />
3 Hyperacute 32.5 26<br />
4 Hyperacute 38.2 28.3<br />
5 Hyperacute 45.9 36.4<br />
6 Acute 42.5 30<br />
7 Acute 41.4 32.6<br />
8 Acute 36.8 30.5<br />
The mean TTP at penumbra in diffusion perfusion<br />
mismatched cases was 44.7875±12.1561 while the mean TTP of<br />
the contralateral normal area was 35.9375±11.2246. There is a<br />
highly statistical significant difference between the mean TTP<br />
at penumbra and contralateral normal site using T-test; t=9.154,<br />
p< 0.001.<br />
-104-
RESULTS<br />
Table(20): Correlation between Mean MTT and TTP at the<br />
infarction and contralateral normal site using Paired T test.<br />
Stage Patient<br />
No<br />
Penumbra<br />
[x - ±SD]<br />
MTT (sec) 8 17.6250±<br />
2.7675<br />
TTP (sec) 8 44.7875±<br />
12.1561<br />
-105-<br />
contralateral<br />
normal site<br />
[x - ±SD]<br />
10.6000±<br />
2.8087<br />
35.9375±<br />
11.2246<br />
Paired T-<br />
test<br />
P value<br />
21.329
RESULTS<br />
Table (21): MRA findings in different types of ischemic stroke<br />
patients (37 patients).<br />
Type of stroke<br />
Hyperacute<br />
Positive<br />
(occlusion)<br />
8<br />
MRA<br />
Negative Total<br />
2<br />
10<br />
Distribution(+ve)<br />
Both ICAs (1 patient)<br />
Rt ICA (1 patient)<br />
Rt MCA(1 patient)<br />
Lt MCA(3 patients)<br />
Rt PCA(1 patients)<br />
Both PCA(1 patient)<br />
Acute 4 8 12 Rt MCA(1 patient)<br />
Lt MCA(3 patients)<br />
Early subacute 2 2 4 Rt MCA(2 patients)<br />
Late subacute 1 2 3 Lt MCA<br />
Chronic - 8 8 -<br />
Total 15 22 37 -<br />
MRA was positive (occlusion) in 15 out of 37 patients mainly<br />
in the hyperacute (8 out of 10 patients) and acute (4 out of 8 patients)<br />
stages.<br />
-106-
RESULTS<br />
Table (22): Post contrast T1WI findings in different types of<br />
ischemic stroke patients (11 patients).<br />
Type of stroke<br />
Hyperacute<br />
Acute<br />
Chronic<br />
Positive<br />
+ ++<br />
1<br />
2<br />
-<br />
2<br />
-<br />
-<br />
PCT1<br />
Negative Total<br />
Total 3 2 5 10<br />
Postcontrast T1(PCT1) was done in 10 patients only and<br />
showed arterial enhancement in 5 patients out of them (2 patients<br />
showed marked enhancement and 3 patients showed mild<br />
enhancement)<br />
-107-<br />
2<br />
2<br />
1<br />
5<br />
4<br />
1
RESULTS<br />
Table (23): MR spectroscopic findings in ischemic stroke patients(34<br />
patients).<br />
Stage No Lactate iNAA/cNAA iCr/cCr iCho/cCho<br />
Hyperacute 1 + 0.09 0.46 0.92<br />
Hyperacute 2 + 0.21 0.08 0.76<br />
Hyperacute 3 + 0.02 0.62 0.45<br />
Hyperacute 4 + 0.81 1.05 0.88<br />
Hyperacute 5 + 0.43 0.31 0.94<br />
Hyperacute 6 + 0.19 0.37 0.77<br />
Hyperacute 7 + 0.01 0.07 0.21<br />
Hyperacute 8 + 0.68 1.03 0.73<br />
Hyperacute 9 + 0.32 0.23 0.85<br />
Hyperacute 10 + 0.56 0.92 0.91<br />
Acute 11 + 0.72 0.77 0.42<br />
Acute 12 + 0.61 1.00 1.13<br />
Acute 13 + 0.01 0.48 0.44<br />
Acute 14 + 0.08 0.63 0.07<br />
Acute 15 + 0.37 0.09 0.36<br />
Acute 16 + 0.45 0.95 1.06<br />
Acute 17 + 0.21 0.08 0.74<br />
-108-
Acute 18 + 0.17 1.12 0.96<br />
Acute 19 + 0.05 0.01 0.81<br />
Acute 20 + 0.57 0.69 1.21<br />
Early subacute 21 + 0.46 0.65 0.86<br />
Early subacute 22 + 0.7 0.32 0.62<br />
Early subacute 23 - 0.51 0.43 0.46<br />
Early subacute 24 + 0.32 0.08 1.21<br />
Late subacute 25 - 0.82 0.02 0.91<br />
Late subacute 26 + 0.91 0.89 0.84<br />
Chronic 27 + 0.24 0.81 0.27<br />
Chronic 28 + 0.52 0.64 0.48<br />
Chronic 29 - 0.34 0.43 1.72<br />
Chronic 30 + 0.83 1.13 0.92<br />
Chronic 31 - 0.64 0.77 1.09<br />
Chronic 32 - 0.76 0.61 1.56<br />
Chronic 33 - 0.21 1.27 1.66<br />
Chronic 34 + 0.92 0.93 0.88<br />
RESULTS<br />
iNAA indicates N-acetylaspartate from infarcted area; cNAA:N-acetylaspartate<br />
from contralateral area, iCr: creatine-phosphocreatine from infarcted area, cCr:<br />
creatine-phosphocreatine from contralateral area, iCho: choline-containing<br />
compounds from infarcted area, cCho: choline-containing compounds from<br />
contralateral area, Lac: lactate; +: present; -: absent.<br />
-109-
RESULTS<br />
Table(24):MR spectroscopic lactate findings correlation with different<br />
stages of infaction using Chi-Sguare test (X 2 ):<br />
Stage Hyperacute Acute Early<br />
Patient<br />
No.<br />
Lactate<br />
+ve<br />
Lactate<br />
-ve<br />
subacute<br />
Late<br />
subacute<br />
Chronic<br />
10 10 4 2 8<br />
10<br />
100%<br />
10<br />
100%<br />
3<br />
75%<br />
0 0 1<br />
25%<br />
X 2 11.637<br />
P value 0.020<br />
1<br />
50%<br />
1<br />
50%<br />
4<br />
50%<br />
4<br />
50%<br />
There is a statistical significant difference in lactate level<br />
among different stroke stages (p
RESULTS<br />
Table(25):MR spectroscopic findings correlation with different stages of<br />
infaction using ANOVA (f):<br />
Patient<br />
No.<br />
Mean iNAA/cNAA<br />
[x - ±SD]<br />
Mean iCr/cCr<br />
[x - ±SD]<br />
Hyperacute 10 0.3320± 0.2801 0.5140±<br />
0.3743<br />
Acute 10 0.3270± 0.2593 0.5830±<br />
Early<br />
subacute<br />
Late<br />
subacute<br />
0.4071<br />
4 0.3400± 0.1971 0.3700±<br />
0.2371<br />
2 0.8650± 0.0636 0.4550±<br />
0.6152<br />
Chronic 8 0.5575± 0.2735 0. 8238±<br />
0.2782<br />
Mean iCho/cCho<br />
[x - ±SD]<br />
0.7420± 0.2356<br />
0.7200± 0.3816<br />
0. 7875± 0.3261<br />
0.8750± 0.0495<br />
1.0725± 0.5422<br />
ANOVA (f) 2.730 1.368 1.176<br />
P value 0.048 0.269 0.342<br />
There is a statistical significant difference in NAA level among<br />
different stroke stages(p
Table (26): LSD (least significant difference) for Mean iNAA/cNAA<br />
comparison between different ischemic stroke stages.<br />
Hyperacute Acute Early<br />
subacute<br />
RESULTS<br />
Late<br />
subacute<br />
Acute >0.05 - - -<br />
Early subacute >0.05 >0.05 - -<br />
Late subacute 0.05 >0.05<br />
LSD revealed that late subacute stage is statistically significant higher<br />
than hyperacute, acute and early subacute stages.<br />
-112-
patients).<br />
RESULTS<br />
Table (27):Classification of hemorrhagic stroke patients (11<br />
Type of hemorrhage No %<br />
ICH<br />
SAH<br />
IVH<br />
Total 12<br />
8<br />
2<br />
2<br />
72.7<br />
The number of hemorrhagic stroke patients was 11 patients<br />
however the number of lesions was 12 as there is one patient had ICH<br />
with intraventricular extension.<br />
-113-<br />
18<br />
18
Stage of<br />
hematoma<br />
Hyperacute<br />
(1 st 24<br />
hours)<br />
Acute (1 st<br />
2-3 days)<br />
Early<br />
subacute<br />
(3-7days)<br />
Late<br />
subacute<br />
(1-2<br />
weeks)<br />
Chronic<br />
(>2weeks)<br />
Table (28): Signal intensity of cases of intracerebral hematoma in<br />
different MRI sequences.<br />
No Degree<br />
of<br />
edema<br />
2 + iso ↑<br />
2 + Iso<br />
T1 T2 GRE (T2 * )<br />
with↓rim<br />
with↓rim<br />
heterogenous<br />
↑<br />
FLAIR<br />
↑<br />
with↓rim<br />
RESULTS<br />
DWI<br />
b 0 b<br />
↑ with↓<br />
rim<br />
1000<br />
ADC<br />
map<br />
↑ ↓<br />
↓ ↓ ↓ ↓ ↓ ↓<br />
1 + ↑ ↓ ↓ ↓ ↓ ↓ ↓<br />
2 - ↑ ↑ ↑ ↑ ↑ ↑ ↑<br />
1 - ↓with↑<br />
center<br />
↓with↑<br />
center<br />
Iso=intermediate signal intensity.<br />
↑=high signal intensity.<br />
↓=low signal intensity.<br />
-114-<br />
↓with↑<br />
center<br />
↓with↑<br />
center<br />
↓with↑<br />
center<br />
↓ ↑
RESULTS<br />
Table (29): Detection of subarachnoid hemorrhage by different MRI<br />
sequences.<br />
Patient<br />
No.<br />
1 st<br />
patient<br />
2 nd<br />
patient<br />
onset T1 T2 GRE<br />
(T2 * )<br />
FLAIR<br />
DWI<br />
b 0 b<br />
1000<br />
ADC<br />
map<br />
5 days ++ + + ++ + + +<br />
6 days - - - + - - -<br />
-115-
RESULTS<br />
Table (30):Signal intensity of cases of intraventricular in different<br />
MRI sequences.<br />
Patient<br />
No.<br />
1 st<br />
patient<br />
2 nd<br />
patient<br />
onset T1 T2 GRE<br />
(T2 * )<br />
FLAIR<br />
b<br />
0<br />
DWI<br />
b<br />
1000<br />
ADC<br />
hyperacute iso ↑ ↑ ↑ ↑ ↑ ↓<br />
map<br />
Acute iso ↓ ↓ ↓ ↓ ↓ ↓<br />
Iso=intermediate signal intensity.<br />
↑=high signal intensity.<br />
↓=low signal intensity.<br />
-116-
-117-<br />
RESULTS<br />
Table (31): MRA findings in different types of hemorrhagic stroke.<br />
Site of hemorrhage<br />
Non<br />
filling<br />
Positive<br />
MRA<br />
spasm aneurysm Total<br />
Negative Total<br />
Intracerebral(8) 1 2 - 3 5 8<br />
Subarachnoid(2) - 1 1 2 - 2<br />
Intraventricular(1) - - - - 1 1<br />
Total 1 3 1 5 6 11
Stage of<br />
stroke<br />
Hyper-<br />
acute(10)<br />
Acute (12)<br />
Early subacute<br />
(4)<br />
Late subacute<br />
(5)<br />
Chronic<br />
(8)<br />
Table (10): Appearance of different ischemic stroke stages at different MRI sequences.<br />
T2WI<br />
Intensity<br />
Not appear<br />
Subtle intense<br />
Not appear<br />
Subtle intense<br />
hyperintense<br />
hyperintense<br />
hyperintense<br />
hyperintense<br />
Pt.<br />
No.<br />
9<br />
1<br />
2<br />
7<br />
3<br />
4<br />
5<br />
8<br />
Intensity<br />
Not appear<br />
FLAIR<br />
Subtle intense<br />
Hyperintense<br />
Hyperintense<br />
Hyperintense<br />
Hyperintense<br />
Pt.<br />
No.<br />
4<br />
6<br />
11<br />
4<br />
5<br />
8<br />
Intensity<br />
Not appear<br />
DWI(b0)<br />
Subtle intense<br />
Not appear<br />
Subtle intense<br />
Hyperintense<br />
Hyperintense<br />
Hyperintense<br />
Hyperintense<br />
-94-<br />
Pt.<br />
No<br />
9<br />
1<br />
2<br />
7<br />
3<br />
4<br />
5<br />
8<br />
DWI(b1000)<br />
Intensity<br />
hyperintense ẽ<br />
brightness<br />
hyperintense ẽ<br />
brightness<br />
hyperintense<br />
hyperintense<br />
isointense<br />
hypointense<br />
Pt.<br />
No.<br />
10<br />
12<br />
4<br />
5<br />
2<br />
6<br />
Exponential<br />
image<br />
Intensity<br />
hyperintense<br />
hyperintense<br />
hyperintense<br />
isointense<br />
hypointense<br />
Pt.<br />
No.<br />
10<br />
12<br />
4<br />
5<br />
8<br />
RESULTS<br />
ADC<br />
Intensity<br />
hypointense<br />
hypointense<br />
hypointense<br />
Isointense<br />
hyperintense<br />
Pt.<br />
No<br />
10<br />
12<br />
4<br />
5<br />
8
-94-<br />
RESULTS
Illustrative cases<br />
- 118 -<br />
Illustrative cases<br />
Case 1 (Fig.43): Hyperacute ischemic stroke with D/P mismatch and<br />
penumbra.<br />
Female patient, 90 years old presented with quadriplegia.<br />
MRI was done 6 hours after clinical presentation.<br />
(a) T1WI is normal. T2WI (b) and FLAIR (c) show subtle increase signal<br />
intensity involving most of the left cerebral hemisphere.<br />
(d) DWI (b1000) shows abnormal signal intensity lesion involving most<br />
of the left cerebral hemisphere and a small area in the right and right<br />
basal ganglia regions displaying high signal intensity with brightness<br />
(restricted diffusion).<br />
(e) Exponential image shows hyperintense signal in the same area.<br />
(f) ADC map shows low signal intensity of the same area.<br />
(g-k) perfusion maps show a larger lesion in the left cerebral hemisphere<br />
with central dead area and surrounding zone of hypoperfusion (delayed<br />
TTP and increased MTT).<br />
(l) Time signal intensity curve shows: ROIs reveal normal one (area 1)<br />
showing T0=37 sec, TTP=44 sec and MTT=11.5 sec.The central area<br />
(area 2) shows flat curve with no cerebral blood flow. The peripheral area<br />
(area 3) shows wide curve with delayed TTP=49 sec (delay 5 sec from<br />
normal curve), increase MTT=19 sec (increase 7.5 sec from normal<br />
curve).<br />
(m) axial and (n) coronal 3D TOF MRA show non filling of both ICAs.<br />
Right posterior cerebral artery (PCA) is slightly compansatory<br />
hypertrophied to supply the right cerebral hemisphere through anastmosis<br />
with the right posterior communicating artery. The left posterior cerebral<br />
artery is not good visualized.<br />
(o) MR spectroscopy (MRS) of the infarction site shows presence of<br />
lactate, decreased level of NAA, creatine and choline.
- 119 -<br />
Illustrative cases
- 120 -<br />
Illustrative cases
- 121 -<br />
Illustrative cases
- 122 -<br />
Illustrative cases<br />
Case 2 (Fig.44): Hyperacute ischemic stroke with D/P mismatch and<br />
penumbra.<br />
Male patient, 72 years old presented with right sided hemiplegia.<br />
MRI was done 5 hours after clinical presentation.<br />
(a) Axial CT is completely normal.<br />
Axial T1 (b) and T2WI (c) are completely normal.<br />
(d) Axial FLAIR shows subtle intensity at the left high parietal region.<br />
DWI-b0 (e) is normal however DWI-b1000 (f) shows hyperintense lesion<br />
with brightness at the left high parietal region. The infarction shows<br />
hyperintensity at exponential image (g) and low signal intensity at ADC<br />
map (h).<br />
Perfusion Weighted Images (i-m) show larger lesion in the left parital<br />
region with central dead area and peripheral are of hypoperfusion.<br />
(n) Time signal intensity curve shows 3ROIs. ROI 1 shows normal curve<br />
with TTP 60 sec and MTT 16 sec. ROI2 (central dead area) shows<br />
flattened curve with no cerebral blood flow. ROI 3 (peripheral<br />
hypoperfused area) shows wide curve with TTP 72 sec and MTT 22 sec<br />
[delayed TTP 12 sec and increased MTT 6 sec in comparison with the<br />
normal curve].<br />
Axial (o) and coronal (p) 3D TOF MRA show obstruction of some of the<br />
cortical branches of the left Middle Cerebral Artery (MCA) and non<br />
filling of the right Anterior Cerebral Artery (ACA).<br />
(q) MRS of the infarction show presence of small amount of lactate,<br />
reduction of the level of NAA, creatine and choline.
- 123 -<br />
Illustrative cases
- 124 -<br />
Illustrative cases
- 125 -<br />
Illustrative cases
Case 3 (Fig.45): Hyperacute ischemic stroke with D/P matching.<br />
Male patient, 59 years old presented with left sided hemiplegia.<br />
- 126 -<br />
Illustrative cases<br />
Radiological examination was done 5 hours after clinical presentation.<br />
(a) Axial CT is completely normal.<br />
Axial T1 (b) and T2WI (c) and FLAIR (d) are completely normal.<br />
(e) DW images-b0 are completely normal however DWI-b1000 (f) show<br />
multiple infarcts displaying high signal intensity with brightness<br />
(restricted diffusion) at the right temporal, right midbrain and both<br />
thalamic regions.<br />
At exponential images (g) the lesions are hyperintense however they are<br />
of low signal intensity at ADC maps (h).<br />
PW images (I1-5) show the infarcted region as seen on DWI(D/P<br />
matching).<br />
Time signal intensity curve (I6) shows the infarcted area (area 2)<br />
represented by flat curve with no CBF and the normal contralateral area<br />
(area 2) represented by normal curve with T0=26sec, TTP=32 sec and<br />
MTT=9sec.<br />
Axial and coronal 3D TOF MRA (j) show occlusion of right Posterior<br />
cerebral artery (PCA) with non filling of right posterior communicating<br />
artery.<br />
MRS at the infarction site (k) shows presence of lactate and reduction of<br />
NAA, creatine and choline levels.
- 127 -<br />
Illustrative cases
- 128 -<br />
Illustrative cases
- 129 -<br />
Illustrative cases
Case 4 (Fig. 46): Hyperacute ischemic stroke with D/P matching.<br />
Male patient, 74 years old presented with left sided wakness.<br />
Radiological examination was done 6 hours after clinical presentation.<br />
(a) Axial CT is completely normal.<br />
Axial T1W images (b&c) are normal.<br />
- 130 -<br />
Illustrative cases<br />
T2WI (d) and FLAIR (e) show subtle area of increased signal intensity at the<br />
right basal ganglia (right lentiform).<br />
DW image-b0 (f) is normal however DWI-b1000 (g-h) show high signal<br />
intensity area with brightness (restricted diffusion) at the right basal ganglia<br />
and periventricular regions mainly at the right side.<br />
At exponential images (i-j) the infarction is hyperintense however they are of<br />
low signal intensity at ADC maps (k-l).<br />
Post contrast T1W images (m-n) show right cortical vascular enhancement at<br />
the disterbution of right MCA.<br />
PW images (o-s) show the infarction size as seen on DWI (D/Pmatching).<br />
Time signal intensity curve (t) shows ROIs revealing :ROI 1 on the infarcted<br />
area is represented by flat curve with no cerebral blood flow ,ROI 3 on the<br />
contralateral normal area revealing normal curve with T0=24 sec, TTP=30.2<br />
sec and MTT=11.7 sec and ROI 2 on the normal area surrounding the<br />
infarction revealing normal curve with T0=22.9 sec, TTP=30.4 sec and<br />
MTT=11.4 sec. Axial (u) and coronal (v) 3D TOF MRA show obstruction of<br />
the right ICA with filling of the right MCA and ACA from contralateral ICA<br />
through the circle of Wills associated with attenuation of right ACA and MCA<br />
and their branches.<br />
MRS (v) of the infarcted area showspresence of lactate, reduction of NAA and<br />
creatine levels with slight increase in choline level.
- 131 -<br />
Illustrative cases
- 132 -<br />
Illustrative cases
- 133 -<br />
Illustrative cases
- 134 -<br />
Illustrative cases
- 135 -<br />
Illustrative cases<br />
Case 5 (Fig. 47): Hyperacute ischemic stroke DWI lesion without PWI<br />
abnormality.<br />
Female patient, 80 years old presented with coma.<br />
Radiological examination was done 6 hours after clinical presentation.<br />
(a) Axial CT is completely normal.<br />
Axial T1W images (b) , T2WI (c) and FLAIR (d) are normal.<br />
DW image-b0 (e) is normal however DWI-b1000 (f) shows high signal<br />
intensity area with brightness (restricted diffusion) at the left side of pons.<br />
At exponential images (g) the infarction is hyperintense however it is of<br />
low signal intensity at ADC maps (h).<br />
On PW images (i-m) there is no apparent perfusion abnormality.<br />
Time signal intensity curve (n) : ROI 1at the infarction site on DWI<br />
shows normal curve with TTP=30 sec and MTT=11 sec and ROI 2 on<br />
normal site on DWI shows normal curve with TTP=31 sec and MTT=10<br />
sec.<br />
Coronal 3D TOF MRA (o) shows no apparent abnormality .<br />
MRS (p) of the infarcted area showspresence of lactate, reduction of<br />
NAA and creatine levels with normal choline level.
- 136 -<br />
Illustrative cases
- 137 -<br />
Illustrative cases
- 138 -<br />
Illustrative cases
Case 6 (Fig.48): Hyperacute ischemic stroke .<br />
- 139 -<br />
Illustrative cases<br />
Female patient, 80 years old presented with right sided hemiplegia.<br />
Radiological examination was done 6 hours after clinical presentation.<br />
(a) Axial CT is completely normal.<br />
Axial T1W image (b) is completely normal.<br />
T2WI (c) and FLAIR (d) and DW image-b0 (e) show mild<br />
hyperintensity of the left basal ganglia (left lentiform).<br />
DWI-b1000 (f) show high signal intensity area with brightness (restricted<br />
diffusion) at the left basal ganglia.<br />
At exponential images (g) the infarction is hyperintense however they are<br />
of low signal intensity at ADC maps (h).<br />
Post contrast coronal T1W images (i-j) show left cortical vascular<br />
enhancement at the disterbution of left MCA.<br />
Axial non enhanced CT cuts at the level of the left MCA (k-l) show<br />
hyperattenuation along the proximal segment of the left MCA(hyperdense<br />
MCA sign) denoting dense thrombus.<br />
Axial 2D TOF MRA (m) shows absence of flow of the left MCA.<br />
Axial (n) and coronal (o) 3D TOF MRA show obstruction of the<br />
proximal segment of the left MCA (M1).<br />
MRS (p) of the infarcted area shows presence of lactate, reduction of<br />
NAA and creatine levels with normal choline level.
- 140 -<br />
Illustrative cases
- 141 -<br />
Illustrative cases
- 142 -<br />
Illustrative cases
Case 7 (Fig.49): Hyperacute ischemic stroke .<br />
Male patient, 69 years old presented with coma.<br />
- 143 -<br />
Illustrative cases<br />
Radiological examination was done 6 hours after clinical presentation.<br />
(a) Axial non enhanced CT cuts are completely normal.<br />
Axial T1W images (b) are normal.<br />
T2WI (c) and FLAIR (d) and DW images-b0 (e) show small faintly<br />
intense lesions at both thalami.<br />
DW images-b1000 (f) show multiple hyperintense lesions with brightness<br />
(restricted diffusion) at right occipital, midbrain and both thalamic<br />
regions.<br />
At exponential images (g) the infarctions are hyperintense however they<br />
are of low signal intensity at ADC maps (h).<br />
Axial (i) and coronal (j) 3D TOF MRA show non filling of the distal<br />
basilar and right posterior cerebral artery (PCA). The left PCA is not well<br />
visualized (filling from the left posterior communicating artery). The<br />
proximal segment of the left anterior cerebral (A1) is not visualized.<br />
MRS (k) of the infarcted site shows presence of lactate, slight reduction<br />
of NAA and creatine levels with normal choline level.
- 144 -<br />
Illustrative cases
- 145 -<br />
Illustrative cases
- 146 -<br />
Illustrative cases
Case 8 (Fig.50): Acute ischemic stroke with D/P matching.<br />
Male patient, 65 years old presented with rigt sided wakness.<br />
- 147 -<br />
Illustrative cases<br />
Radiological examination was done 12 hours after clinical presentation.<br />
(a) Axial CT shows faint ill defined hypodense area at the left basal<br />
ganglia (left caudate nucleus).<br />
Axial T1W image (b) shows faint hypointense area at the left caudate<br />
nucleus.<br />
Axial T2WI (c) ,FLAIR (d) and DW images-b0 (e) show subtle area of<br />
increased signal intensity at the left basal ganglia .<br />
DWI-b1000 (f) shows hyperintense infarction with brightness (restricted<br />
diffusion) at the left basal ganglia(left caudate nucleus and lentiform) .<br />
At exponential images (g) the infarction displays high signal intensity<br />
however on ADC map (h) it displays low signal intensity.<br />
PW images (i-m) show the infarction size as seen on DWI<br />
(D/Pmatching).<br />
Time signal intensity curve (n) : ROI 2 on the infarcted area is<br />
represented by flat curve with no cerebral blood flow ,ROI 1 on the<br />
contralateral normal area revealing normal curve with T0=24.9 sec,<br />
TTP=31.8 sec and MTT=10 sec and ROI 3 on the normal area<br />
surrounding the infarction revealing normal curve with T0=26.6 sec,<br />
TTP=33.1 sec and MTT=9.8 sec.<br />
Post contrast T1WI (o) is normal.<br />
Coronal 3D TOF MRA (p) shows no abnormality.<br />
MRS (q) of the infarcted area showspresence of lactate, reduction of<br />
NAA and creatine and choline levels.
- 148 -<br />
Illustrative cases
- 149 -<br />
Illustrative cases
- 150 -<br />
Illustrative cases
Case 9 (Fig. 51 ): Acute ischemic stroke.<br />
Male patient, 47 years old presented with right sided wakness.<br />
- 151 -<br />
Illustrative cases<br />
Radiological examination was done 14 hours after clinical presentation.<br />
Axial T1W image (a) shows small faint hypointense area at the left basal<br />
ganglia.<br />
Axial T2WI (b) ,FLAIR (c) and DW images-b0 (d) show mildly intense<br />
small lesion at the left basal ganglia.<br />
The lesion is markedly hyperintense with brightness on DWI-b1000 (e)<br />
and hyperintense on exponential images (f). On ADC map (g) it displays<br />
low signal intensity.<br />
PW images (k-h) show the infarction size as seen on DWI<br />
(D/Pmatching).<br />
Time signal intensity curve (l) : ROI 1 on the infarcted area is represented<br />
by flat curve with no cerebral blood flow however ROI 2 on the<br />
contralateral normal area revealing normal curve with T0=25.5 sec,<br />
TTP=31.9 sec and MTT=9.2 sec .<br />
Post contrast T1WI (m) is normal.<br />
Axial (n) and coronal (o) 3D TOF MRA show no abnormality.<br />
MRS (p) of the infarcted area shows presence of lactate, reduction of<br />
NAA and creatine levels with normal choline level.
- 152 -<br />
Illustrative cases
- 153 -<br />
Illustrative cases
- 154 -<br />
Illustrative cases
Case 10 (Fig. 52): Acute ischemic stroke .<br />
Female patient, 45 years old presented with left sided wakness.<br />
- 155 -<br />
Illustrative cases<br />
Radiological examination was done 14 hours after clinical presentation.<br />
(a) Axial CT shows subtle small hypodense area at the right lateral aspect<br />
of pons.<br />
Axial T1W image (b) is normal.<br />
Axial T2WI (c) ,FLAIR (d) and DW images-b0 (e) show subtle intensity<br />
at the right lateral aspect of pons .<br />
DWI-b1000 (f) shows small bright hyperintense infarction (restricted<br />
diffusion) at the right lateral aspect of pons).<br />
At exponential images (g) the infarction displays high signal intensity<br />
however on ADC map (h) it displays low signal intensity.<br />
Coronal 3D TOF MRA (i) shows no abnormality.<br />
MRS (j) of the infarcted area showspresence of lactate, reduction of<br />
NAA,normal creatine and increased choline levels.
- 156 -<br />
Illustrative cases
- 157 -<br />
Illustrative cases
Case 11 (Fig.53): Acute ischemic stroke .<br />
Female patient, 60 years old presented with dysarthria.<br />
- 158 -<br />
Illustrative cases<br />
Radiological examination was done 15 hours after clinical presentation.<br />
(a-b) Axial CT cuts are normal.<br />
Axial T1W image (c) is normal.<br />
Axial T2WI (d) ,FLAIR (e) and DW images-b0 (f) show mild<br />
hyperintensity at the right high parietal region .<br />
DWI-b1000 (g) shows bright hyperintense infarction (restricted diffusion)<br />
at the right high parietal region).<br />
At exponential images (h) the infarction displays high signal intensity<br />
however on ADC map (i) it displays low signal intensity.<br />
Axial 3D TOF MRA (j) shows no apparent abnormality.<br />
MRS (k) of the infarcted area shows presence of lactate, reduction of<br />
NAA and creatine levels with normal choline level.
- 159 -<br />
Illustrative cases
- 160 -<br />
Illustrative cases
Case 12 (Fig.54): Subacute ischemic stroke .<br />
Male patient, 40 years old presented with ataxia.<br />
- 161 -<br />
Illustrative cases<br />
Radiological examination was done 8 days after clinical presentation.<br />
Axial T1W image (a) shows small hypointense area at the right cerebellar<br />
hemisphere adjacent to the fourth ventricle.<br />
The infarction shows high signal intensity at axial T2WI (b) ,FLAIR (c)<br />
and DW images-b1000 (d).<br />
It displays nearly intermediate signal intensity at exponential images (e)<br />
and ADC map (f).
- 162 -<br />
Illustrative cases
Case 13 (Fig.55): Chronic ischemic stroke .<br />
Male patient, 27 years old presented with left sided hemiplegia.<br />
- 163 -<br />
Illustrative cases<br />
Radiological examination was done 1 month after clinical presentation.<br />
(a) Axial CT shows an ill defined hypodense area of infarction at the<br />
right basal ganglia.<br />
The infarction is of low signal intensity at axial T1WI (b) and high signal<br />
intensity at axial T2WI (c) ,FLAIR (d) and DW images-b0 (e) however it<br />
is isointense on DWI-b1000 (f) , low signal intensity at exponential image<br />
(g) and high signal intensity on ADC map (h).<br />
Coronal 3D TOF MRA (i) shows no apparent abnormality.<br />
MRS (k) of the infarcted area shows presence of lactate, reduction of<br />
NAA and creatine levels with increase in choline level.
- 164 -<br />
Illustrative cases
- 165 -<br />
Illustrative cases
Case 14 (Fig.56): Chronic ischemic stroke .<br />
Male patient, 65 years old presented with left sided weakness.<br />
- 166 -<br />
Illustrative cases<br />
Radiological examination was done 6 monthes after clinical presentation.<br />
(a) Axial CT shows a well defined hypodense area of infarction at the<br />
right high patietal region.<br />
The infarction is of low signal intensity at axial T1WI (b) and high signal<br />
intensity at axial T2WI (c) ,FLAIR (d) and DW images-b0 (e). At DWIb1000<br />
(f) the infarction displays low to intermediate signal intensity<br />
however at exponential image (g) it displays low signal intensity and high<br />
signal intensity at ADC map (h).<br />
PW images (i-m) show the non perfused infarcted area.<br />
Time signal intensity curve (n) : ROI 2 on the infarcted area is<br />
represented by flat curve with no cerebral blood flow ,ROI 1 on the<br />
contralateral normal area revealing normal curve with T0=26.1 sec,<br />
TTP=33.9 sec and MTT=11.8 sec and ROI 3 on the normal area<br />
surrounding the infarction revealing normal curve with T0=26.1 sec,<br />
TTP=34.1 sec and MTT=12.3 sec.<br />
Post contrast axial T1WI (o) shows no vascular or parenchymal<br />
enhancement.<br />
Coronal 3D TOF MRA (o) shows no abnormality.<br />
MRS (p) of the infarcted area shows presence of lactate, reduction of<br />
NAA and creatine levels with increase in choline level.
- 167 -<br />
Illustrative cases
- 168 -<br />
Illustrative cases
- 169 -<br />
Illustrative cases
Case 15 (Fig.57): Hyperacute intracerebral hemorrhagic stroke .<br />
Male patient, 70 years old presented with right sided hemiplegia.<br />
- 170 -<br />
Illustrative cases<br />
Radiological examination was done 7 hours after clinical presentation.<br />
(a) Axial non enhanced CT shows fresh blood density at both basal<br />
ganglia regions associated with intraventricular extension.<br />
MRI through the level of the left basal ganglia hematoma shows<br />
abnormal signal intensity lesion at the left basal ganglia surrounded by<br />
mild perifocal oedema, causing effacement of the left lateral ventricle and<br />
associated with intraventricular extension displaying the same signl<br />
intensity.<br />
The lesion displays intermediate to low signal intensity at axial T1WI (b),<br />
high signal intensity surrounded by low signal intensity rim at T2WI (cd)<br />
and FLAIR (f) and heterogenous signal intensity at GRE image (e).<br />
The lesion displays high signal intensity at DWI-b1000 (g) and<br />
exponential image (h) and low signal intensity on ADC map (i).<br />
Axial (j) and coronal (k) 3D TOF MRA show non visualization of the<br />
left MCA with non good visualization of both lenticulostriate arteries.
- 171 -<br />
Illustrative cases
- 172 -<br />
Illustrative cases
Case 16 (Fig.58): Acute intracerebral hemorrhagic stroke .<br />
Male patient, 19 years old presented with right sided hemiplegia.<br />
MRI examination was done 3 days after clinical presentation.<br />
- 173 -<br />
Illustrative cases<br />
It shows abnormal signal intensity lesion (hematoma) at the left parieto-<br />
occipital region, surrounded by mild perifocal oedema,and causing mass<br />
effect in the form of effacement of the left lateral ventricle .<br />
It displays low signal intensity with high signal intensity peripheral zone<br />
(peripheral intracellular methemoglobin of early subacute hemorrhage) at<br />
axial T1WI (a) and low signal intensity at T2WI (b) , FLAIR (c) and<br />
DWI-b0 (d). It also displays low signal intensity at DWI-b1000 (e) due to<br />
magnetic susceptability effect and low signal intensity on ADC map (f).<br />
Axial (g) and coronal (h) 3D TOF MRA show the hematoma as well as<br />
attenuation os the distal cortical segment of left MCA.
- 174 -<br />
Illustrative cases
- 175 -<br />
Illustrative cases
- 176 -<br />
Illustrative cases<br />
Case 17 (Fig.59): Late subacute intracerebral hemorrhagic stroke .<br />
Male patient, 41 years old presented with right sided weakness.<br />
MRI examination was done 13 days after clinical presentation.<br />
It shows abnormal signal intensity lesion (hematoma) at the left basal<br />
ganglia, surrounded by mild perifocal oedema.<br />
It displays high signal intensity at axial T1 (a) , T2WI (b) , FLAIR (c) ,<br />
DWI-b0 (d) , DWI-b1000 (e) and ADC map (f).
- 177 -<br />
Illustrative cases
- 178 -<br />
Illustrative cases<br />
Case 18 (Fig.60):Subarachnoid hemorrhage (SAH) with rupture<br />
inracranial aneurysm.<br />
Female patient, 59 years old presented with sever headche, vomiting and<br />
confusion.<br />
Axial CT examination (a-b) done 4 hours after presentation shows fresh<br />
blood density at the subarachnoid space of the basal cisterns associated<br />
with mild hydrocephalic changes.<br />
MRI examination done 6 days after clinical presentation the<br />
subarachnoid hemorrhage can not be seen at all MR sequence except<br />
FLAIR image (e) in which it displays high signal intensity.<br />
Mild hydrocephalic changes are seen associated with trans-ependymal<br />
leak displaying high signal intensity at T2WI (d), FLAIR (e) , DWI -b0<br />
(f) and ADC map (i) and low signal intensity at T1WI (c) , DW-b1000 (g)<br />
and exponential images (h).<br />
Coronal (k-m) and axial (n) 3D TOF MRA show aneurysmal dilatation<br />
of the supraclinoid portion of the left ICA.<br />
Digital Subtraction angiography (o-r) shows aneurysmal dilatation of the<br />
supraclinoid portion of the left ICA.
- 179 -<br />
Illustrative cases
- 180 -<br />
Illustrative cases
- 181 -<br />
Illustrative cases
Case 19 (Fig.61):Subarachnoid hemorrhage .<br />
Male patient, 34 years old presented with seizors.<br />
- 182 -<br />
Illustrative cases<br />
Axial CT examination (a-b) done 5 hours after presentation shows fresh<br />
blood density at the subarachnoid space mainly of the right sylvian<br />
fissure associated with mild hydrocephalic changes.<br />
MRI examination done 5 days after clinical presentation.<br />
The SAH shows high signal intensity at T1W images (c-d) and FLAIR<br />
images (g-h) and low signal intensity at T2WI (e) and Gradient (f).<br />
It displays low signal intensity on DWI-b0 (i), high signal intensity at<br />
DWI-b1000 (j) and exponential images (k) however on ADC it shows<br />
low signal intensity (l) as well as mild hydrocephalic changes.<br />
Axial 2D TOF MRA (m) shows normal flow in the right MCA without<br />
aneurysmal dilatation.<br />
Coronal 3D phase contrast MRA (n) and 3D TOF MRA (o) show<br />
attenuation (spasm) of the right MCA without aneurysmal dilatation.<br />
Digital Subtraction angiography (p-q) is normal.
- 183 -<br />
Illustrative cases
- 184 -<br />
Illustrative cases
- 185 -<br />
Illustrative cases
DISCUSSION<br />
- 186 -<br />
DISCUSSION<br />
Stroke can be defined as an acute central nervous system injury with<br />
an abrupt onset (Srinivasan et al.,2006).<br />
Stroke is a leading cause of mortality and morbidity in the developed<br />
world. The goals of an imaging evaluation for acute stroke are to<br />
establish a diagnosis as early as possible and to obtain accurate<br />
information about the intracranial vasculature and brain perfusion for<br />
guidance in selecting the appropriate therapy (Srinivasan et al.,2006).<br />
Although strokes are much more common in people over 65, and many<br />
people believe that strokes only happen to old folks, strokes can occur at<br />
any age, including infancy, childhood, adolescence and early adulthood<br />
(Caplan, 2006).<br />
Our study included 50 patients, 32males(64%) and 18 females(36%),<br />
their ages ranged from 19 to 90 years, they are classified into 8 groups<br />
according to their ages with 10 years interval between each group. Stroke<br />
patients were most commonly seen in 60-70 years age group. Their<br />
number were 19 patients (38%). This is followed by 50- 60 age group in<br />
which their number was 11 patients (22%) then 40- 50 age group in<br />
which their number was 8 patients (16%) and 70- 80 age group in which<br />
their number was 7 patients(14%).<br />
This result was in agreement with the study of Somay et al., 2005<br />
study about cerebrovacular stroke risk factors and stroke subtypes in<br />
different age groups included 401 patients. They were 199 males and 202<br />
females. The most common age groups were 71-80 and 61-70years,<br />
however the difference in sex prevalence between our study and their<br />
study may be caused by the small number of patients in our study. We are
- 187 -<br />
DISCUSSION<br />
also in agreement with Provenzale and Barboriak, 1997 regarding the<br />
patient age who stated that Strokes occur relatively infrequently in young<br />
adults (i.e., individuals who are 15-45 years old).<br />
The most common risk factors in our study were hypertension (15<br />
cases-30%), ischemic heart disease (11 cases-22%), Diabetes mellitus (9<br />
cases-18%) and hyperlipidemia (7 case-14%) and smoking (6 cases-<br />
12%).This is consistent with Somay et al., 2005 in which the<br />
hypertension (60.1%) was the most common risk factor followed by<br />
ischemic heart disease (40.1%), hypercholesterolemia (29.2%), smoking<br />
(31.4%) and Diabetes mellitus (21.4%) and with Eguchi et al., 2003 who<br />
stated that Diabetes mellitus (DM), is a major risk factor for stroke and<br />
also with Smoller et al., 2000 who reported that Hypertension is a major<br />
risk factor for stroke and heart disease among both men and women.<br />
The first task of imaging is to divide the strokes into ischemic (85%)<br />
or hemorrhagic (15%) subtypes. Distinction of hemorrhage versus<br />
infarction is the initial critical branch point in acute stroke triage, and<br />
directs care toward medical therapy or tailored intervention such as<br />
endovascular aneurysm coiling or thrombolysis. Hemorrhage is most<br />
efficiently excluded by CT, but can also be reliably assessed using MR<br />
imaging, which includes both T2*-weighted and FLAIR sequences<br />
(Rowley, 2001).<br />
Our patients are subjected to CT scanning then divided into two<br />
main groups; ischemic stroke (39 patients, 78%) and hemorrhagic stroke<br />
(11 patients, 22%). This is consistent with Srinivasan et al., 2006 who<br />
stated that acute ischemia constitutes approximately 80% of all strokes<br />
and is an important cause of morbidity and mortality and Haaga et al,<br />
2003 who said that cerebral infarction accounts for approximately 85% of
- 188 -<br />
DISCUSSION<br />
all strokes and with (Weissleder et al., 2003) who reported that 80% of<br />
strokes are due to cerebral ischemia.<br />
Temporal evolution of strokes is typically categorized into<br />
hyperacute (0–6 h), acute (6–24 h), subacute (24 h to approximately 2<br />
weeks), and chronic stroke (>2 weeks old) (Gonzalez, 2006).<br />
The first group, ischemic stroke patients (39 patients), are<br />
chronological divided into five stages. The hyperacute stage (1 st 6 hours)<br />
including 10 patients, the acute stage (6-24hours) including 12 patients,<br />
the early subacute stage(1-7 days) including 4 patients, late subacute<br />
stage(1-2 weeks) including 5 patients and chronic stage(>2weeks)<br />
including 8 cases. All these patients are subjected to different MRI<br />
techniques.<br />
Multiparametric stroke imaging combining diffusion (DWI) and<br />
perfusion-weighted MRI (PWI), MR angiography (MRA), and<br />
conventional MR sequences is increasingly used as the primary<br />
diagnostic imaging modality in major stroke centers (Fiehler et al, 2003).<br />
We had 39 ischemic stroke patients, all of them are subjected to<br />
conventional MRI and DWI, 37 patients are subjected to MRA, 34<br />
patients to MRS, 17 patient to PWI, 11 patients to Post contrast T1WI<br />
and only 1 case is subjected to MRV examination, however all<br />
hemorrhagic stroke patients are subjected to conventional MRI , DWI and<br />
MRA examination.<br />
A growing body of evidence accumulated during recent years has<br />
documented the superiority of magnetic resonance (MR) imaging as<br />
compared with computed tomography (CT) in the clinical setting of acute<br />
ischemic stroke not only in the diagnosis of hyperacute ischemic and<br />
hemorrhagic stroke but also in the proper selection of patients who might<br />
benefit from reperfusion therapy (Rovira et al., 2004).
- 189 -<br />
DISCUSSION<br />
Conventional computed tomography (CT) and MR imaging cannot<br />
be used to reliably detect infarction at the earliest time points. The<br />
detection of hypoattenuation on CT scans and hyperintensity on T2-<br />
weighted MR images requires a substantial increase in tissue water. DW<br />
images are very sensitive and specific for the detection of hyperacute and<br />
acute infarctions, with a sensitivity of 88-100% and a specificity of 86-<br />
100%. A lesion with decreased diffusion is strongly correlated with<br />
irreversible infarction (Schaefer et al., 2000).<br />
Diffusion-weighted MR imaging appears to be sensitive to an early<br />
pathoghysiologic process in cerebral infarction. The loss of adenosine<br />
triphosphate, which causes a subsequent shift of water from the<br />
extracellular space into the intracellular space and possibly an increase in<br />
the intracellular viscosity.<br />
Superior contrast-to-noise ratio (CNR) of acute stroke lesions on<br />
diffusion-weighted MR imaging compared with CT and conventional MR<br />
imaging (Gonzalez et al.,1999).<br />
FLAIR improved the conspicuity of ischemic lesions in comparison<br />
with T2 and T1, especially when lesions were located in the cortical<br />
ribbon were CSF contamination and different MR properties of GM can<br />
impair lesion conspicuity (Schaller, 2007).<br />
Our results are in agreement with Schaefer et al.,2000, Gonzalez et<br />
al.,1999 and Schaller, 2007 as we had 10 cases of hyperacute ischemic<br />
stroke, one case of them is diagnosed by T2WI and 9 cases not<br />
diagnosed. On FLAIR images 6 cases shows subtle increase of signal<br />
intensity and 4 cases not diagnosed however the ten cases are diagnosed<br />
by DWI (hyperintense with brightness). We also had 12 cases of acute<br />
ischemic stroke , 3 of them are diagnosed on T2WI (hyperintense ), 7<br />
cases showed faint hyperintensity and 2 cases not diagnosed however on
- 190 -<br />
DISCUSSION<br />
FLAIR images 11 cases are diagnosed (hyperintense) and one case not<br />
appear but in DWI the all 12 cases are diagnosed (hyperintense with<br />
brightness).These results are also in agreement with Wilcock et al., 1999<br />
and Karonen et al, 1999 who reported that Diffusion weighted imaging<br />
demonstrates changes in acute infarction before conventional T2<br />
weighted or CT images become positive and with Perkins et al.,2003<br />
who concluded that DWI nearly doubles the likelihood of detecting acute<br />
ischemic stroke lesions compared with FLAIR for all etiologies and in all<br />
anatomic locations.<br />
It is important to understand that DW image has T2-weighted<br />
contrast, the DW image can be divided by the echo-planer spin-echo T2-<br />
weighted (or b=0 sec/mm2) image to give an "exponential<br />
image"(Schaefer et al.,2000).<br />
A detailed understanding of the serial evolution of the brain’s MRI<br />
relaxation and diffusion parameters is clinically important for the<br />
diagnosis and treatment of stroke patients. For example, it can be used to<br />
help estimate the age of a lesion, to establish rational time windows for<br />
stroke treatment, or perhaps to provide alternative outcome measures or<br />
“surrogate end points (Liu et al, 2007).<br />
In humans, decreased diffusion in ischemic brain tissue is observed<br />
as early as 30 min after vascular occlusion. The ADC continues to<br />
decrease with peak signal reduction at 1–4 days. This decreased diffusion<br />
is markedly hyperintense on DWI (a combination of T2 and diffusion<br />
weighting), less hyperintense on exponential images, and hypointense on<br />
ADC images. The ADC returns to baseline at 1–2 weeks. This is<br />
consistent with the persistence of cytotoxic edema (associated with
- 191 -<br />
DISCUSSION<br />
decreased diffusion) as well as cell membrane disruption, and the<br />
development of vasogenic edema (associated with increased diffusion).<br />
At this point, a stroke is usually mildly hyperintense on the DWI images<br />
due to the T2 component and isointense on the ADC and exponential<br />
images. Thereafter, the ADC is elevated secondary to increased<br />
extracellular water, tissue cavitation, and gliosis. There is slight<br />
hypointensity, isointensity or hyperintensity on the DWI images<br />
(depending on the strength of the T2 and diffusion components),<br />
increased signal intensity on ADC maps, and decreased signal on<br />
exponential images (Gonzalez et al., 2006).<br />
This is consistent with our study as we found decreased ADC in<br />
the hyperacute stage with more decrease in the acute stage and it started<br />
to increase to reach near normal levels in the late subacute stage with<br />
more increase in the chronic stage, by other means the rADC (ratio<br />
between ADC in infarction and contralateral normal site) is 0.5308±<br />
0.0899 in the hyperacute, 0.3765± 0.06954 in the acute stage, 0.7002±<br />
0.1231in the early subacute, 1.0135± 0.03422 in late subacute and<br />
2.2094± 0.8806 in chronic stage.<br />
In our study, we found that patients with hyperacute stroke (in the<br />
first 6 hours-10 patients) the infarction could be visualized in DWI b<br />
1000 (hyperintensity with brightness), ADC map (hypointensity) and<br />
exponential images (hyperintensity) however 9 patients couldn’t be seen<br />
on the DWI b0 or T2-wieghted image . In the FLAIR 4 patients out of<br />
them were not appear completely while the remaining 6 patients showed<br />
slight intensity.<br />
Patients with acute stroke (6-24 hours-12 patients) the infarction<br />
could be visualized in DWI b 1000 (hyperintensity with brightness), ADC<br />
map (hypointensity) and exponential images (hyperintensity) however on
- 192 -<br />
DISCUSSION<br />
the DWI b0 and T2-wieghted image 2 patients couldn’t be seen, 7 cases<br />
showed faint hyperintensity and 3 patients are hyperintense . In the<br />
FLAIR 1 patients out of them was not appear completely while the<br />
remaining 11 patients showed hyperintensity.<br />
This is consistent with Schaefer et al., 2000 who observed<br />
restricted diffusion associated with acute ischemia 30 minutes after a<br />
witnessed ictus. The ADC continues to decrease and is most reduced at 8-<br />
32hours. The ADC remains markedly reduced for 3-5 days. This<br />
decreased diffusion is markedly hyperintense on DW images and<br />
hypointense on ADC images and with Yang et al, 1999 who reported that<br />
acute infarcts appear hyperintense on DWI because of a reduction in the<br />
apparent diffusion coefficient (ADC) of water within minutes after the<br />
onset of ischemia. We are also in agreement with Keir and Wardlaw,<br />
2000 who stated that DWI works on the principle that sensitizing a<br />
standard MR image to diffusion weighting identifies regions of abnormal<br />
water movement, occurring very early after onset of ischemia, resulting in<br />
increased (bright) signal intensity. This is consistent also with Neumann-<br />
Haefelin et al 1999 and Krueger et al, 2000 who reported that with DWI<br />
it is possible to identify severely ischemic brain regions within minutes to<br />
hours after stroke onset. A decrease in the apparent diffusion coefficient<br />
of water (ADC), apparent as hyperintensity on DW images, indicates a<br />
restriction in the diffusional movement of water.<br />
In our study patients with early subacute stroke (1-7 days-4<br />
patients) showed hyperintensity in DWI (b1000 and b0),exponential<br />
image, T2-weighted and FLAIR images but hypointensity on ADC maps.<br />
Patients with late subacute stroke (1-2 weeks-5 patients) showed<br />
hyperintensity in DWI (b1000 and b0), T2-weighted and FLAIR images<br />
and isointense signal at exponential image and ADC maps.
- 193 -<br />
DISCUSSION<br />
Chronic stroke patients (>2weeks-8 patients) showed hyperintensity<br />
on T2-weighted, FLAIR images and DWI ( b0).On DWI ( b1000) 6 cases<br />
showed hyperintensity however 2 cases were isointense. The all 8 cases<br />
were hyperintense on ADC maps.<br />
These agree with Schaefer et al.,2000 who said that the ADC<br />
returns to baseline at 1-4 weeks. This most likely reflects persistence of<br />
cytotoxic oedema(associated with decreased diffusion) and development<br />
of vasogenic oedema and cell membrane disruption, leading to increased<br />
extracellular water (associated with increased diffusion). At this point, an<br />
infarction is usually mildly hyperintense due to the T2 component on DW<br />
images and isointense on the ADC images. Thereafter, diffusion is<br />
elevated as a result of continued increase in extracellular water, tissue<br />
caviation and gliosis. This elevated diffusion is characterized by slight<br />
hypointensity, isointensity or hyperintensity on DW images (depending<br />
on the strength of the T2 and ADC maps.<br />
These also agree with Huang et al., 2001 who reported that when<br />
the signal intensity changes on DW images were studied as a single<br />
parameter, abnormally high signal intensity was constantly observed at<br />
the acute and the subacute stages of cerebral infarction. This abnormal<br />
signal intensity increased with time and declined 2 weeks after symptom<br />
onset. Lansberg et al., 2001 also reported that it is well accepted that<br />
ADC values decline rapidly after the onset of ischemia and subsequently<br />
increase, the observed time course of the ADC increase to supernormal<br />
values has varied from 24 hours to 17 days.<br />
While diffusion-weighted MR imaging is most useful for detecting<br />
irreversibly infarcted tissue (Srinivasan et al, 2006), perfusion imaging<br />
findings provide information on the momentary hemodynamic state of<br />
brain tissue, as they reveal impaired tissue perfusion caused by blood
- 194 -<br />
DISCUSSION<br />
vessel obstruction. Therefore, perfusion imaging findings may yield<br />
information about pathologically hypoperfused regions, even before<br />
genuine structural brain tissue damage has taken place (Wittsack et al,<br />
2002).<br />
Perfusion-weighted imaging (PWI) and diffusion weighted imaging<br />
(DWI) have been used with increasing frequency in acute ischemic<br />
stroke. PWI demonstrates areas of decreased blood flow, whereas DWI<br />
reveals regions of acute bioenergetic compromise ( Loh et al, 2005).<br />
The combination of DW imaging, perfusion- weighted imaging, and<br />
MR angiography enables identification of tissue at risk of infarction,<br />
which is characterized by the mismatch between an area of restricted<br />
diffusion and a larger area with ischemic but still viable tissue on<br />
perfusion-weighted images (Saur et al., 2003).<br />
A variety of hemodynamic images may constructed from perfusion<br />
data, including relative cerebral blood volume(rCBV), relative cerebral<br />
blood flow(rCBF), mean transit time (MTT)and time to peak (TTP) maps<br />
(Schaefer et al.,2000).<br />
Cerebral blood volume (CBV) is defined simply as the amount of<br />
blood in a given amount of tissue at any time (ml/g) as compared to CBF,<br />
which represents the amount of blood moving through a certain amount<br />
of tissue per unit time (ml/g per min). The ratio of CBV and CBF is<br />
defined as the mean transit time (units minutes) (Davis et al, 2003). Time<br />
to peak (TTP) maps of perfusion imaging show the arrival time of the<br />
contrast agent which is the same for the gray and white matter in the brain<br />
(Wittsack et al., 2002).<br />
In our study we used MTT and TTP maps for the correlation<br />
between the lesion size on perfusion weighted images and its size on DW<br />
images.
- 195 -<br />
DISCUSSION<br />
It is difficult to name one perfusion map type that could, even when<br />
combined with DW images, be used to predict infarct growth with<br />
satisfactory accuracy. Although the initial lesion volume on rCBV maps<br />
correlates best with the final infarct size and on average is closest to it,<br />
the initial rCBV map in many patients lead to underestimation of the final<br />
infarct size. Estimating the final infarct size with the initial rCBF finding<br />
seems to be more accurate. However, some infarcts grow to the area<br />
where the only initially detected imaging abnormality is prolonged MTT<br />
(Karonen et al., 2000).<br />
In an acute stroke setting, TTP maps offer two advantages over<br />
other images derived from perfusion imaging. First, they involve the least<br />
amount of post processing, and thus allows the clinical information to be<br />
available within 20 minutes. Second, TTP maps provide a relatively clear<br />
picture of the location and extent of the lesion (Wittsack et al., 2002).<br />
The volume of sever ischemia determined at a TTP delay of some 6<br />
seconds relative to the non affected hemisphere helped to predict the<br />
definite infarct lesion (Seitz et al.,2005).<br />
When most patients of hyperacute and acute infarction are evaluated<br />
by DW and perfusion-weighted MR imaging, their images usually<br />
demonstrate one of three patterns: A lesion is smaller on DW images than<br />
the same lesion on perfusion –weighted image; a lesion on DW images is<br />
equal to or larger than that on perfusion weighted images; or a lesion is<br />
depicted on DW images but not demonstrable on perfusion-weighted<br />
images (Schaefer et al.,2000).<br />
Schaefer et al.,2000 found that the large-vessel stroke lesion (such<br />
as in the proximal portion of the middle cerebral artery), the abnormality<br />
as depicted on perfusion-weighted images is frequently larger than the<br />
lesion as depicted on DW images, the peripheral region characterized by
- 196 -<br />
DISCUSSION<br />
normal diffusion and decrease perfusion, usually progress to infarction<br />
unless there is early reperfusion. Thus, in the acute setting, perfusion-<br />
weighted imaging in combination with DW imaging helps identify an<br />
operational "ischemic penumbra" or area at risk for infarction.<br />
On the other hand, with small-vessel infarction (perforator<br />
infarctions and distal middle cerebral artery infarctions) the initial lesion<br />
volumes on perfusion-weighted and DW images are usually similar, and<br />
the DWI lesion volume increases only slightly with time. A lesion larger<br />
on DW images than on perfusion weighted images or a lesion visible on<br />
DWI but not on perfusion weighted images usually occurs with early<br />
reperfusion. In this situation, the lesion on DW images usually does not<br />
change substantially over time.<br />
These are in agreement with our results as 8 patients of hyperacute<br />
and acute stroke in our series showed PWI> DWI, 7 patients of them<br />
were suffering from lesions in the distribution of large cerebral blood<br />
vessels . 6 patients of hyperacute, acute and chronic stroke showed<br />
DWI=PWI , their lesion were in the distribution of small vessels. 2<br />
patients showed DWI>PWI , and 1 patient showed lesion visible on DWI<br />
but not on perfusion weighted images ,their lesion were in the distribution<br />
of small vessels with reperfusion.<br />
These are also in agreement with Gonzalez et al., 2006 who stated that<br />
Proximal occlusions are much more likely to result in a diffusion–<br />
perfusion mismatch than distal or lacunar infarctions and with Neumann-<br />
Haefelin et al, 2000 who concluded that the total PWI/DWI mismatch is<br />
often larger in patients with ipsilateral carotid stenosis .70% than in<br />
patients without carotid stenosis.
- 197 -<br />
DISCUSSION<br />
In cases with diffusion perfusion mismatch and ischemic penumbra we<br />
found increase in the MTT and delay in TTP in the penumbra region<br />
compared with the normal contralateral site (MTT at the penumbra is<br />
17.6250± 2.7675 sec and 10.6000± 2.8087 sec at normal site, TTP at the<br />
penumbra is 44.7875± 12.1561sec and 35.9375± 11.2246 sec at normal<br />
site) denoting statistically significant difference between ischemic and<br />
contralateral normal site, p
- 198 -<br />
DISCUSSION<br />
the more distal, smaller branches and the level of diagnostic confidence<br />
diminishes (Davis et al, 2003).<br />
In acute stroke imaging (
- 199 -<br />
DISCUSSION<br />
marked vascular enhancement was observed in 2 patients of hypercaute<br />
stroke however mild enhancement was detected in 3 patients [ 2 cases of<br />
hyperacute stroke and 1 case of acute stroke] .So vascular enhancement<br />
was noted in hyperacute and acute stages not the chronic stages and this<br />
is consistent with Gonzalez et al., 2006.<br />
Magnetic Resonance Spectroscopy (MRS) has become one of the<br />
most important imaging techniques of CNS over 10 years, mainly<br />
because this method is enables noninvasive measurement of metabolites<br />
which play a central role in cellular metabolism (Kaminska et al, 2007).<br />
MRS has been suggested to be more sensitive than MRI in detecting<br />
hypoxic damage. It has been proposed that MRS may be able to detect<br />
cerebral ischemia within seconds of its onset as compared to DWI that<br />
provides warning as early as 1 h after the onset. The most striking<br />
changes in patients with acute cerebral infarction on MRS is the<br />
appearance of lactate with reduction in NAA and total Cr/PCr within the<br />
infarct compared to the contralateral hemisphere. Large variations in the<br />
initial concentrations of Cho have been observed in the region of<br />
infarction (Davis et al, 2003).<br />
34 cases of ischemic stroke patients are subjected to MR<br />
spectroscopic examination to the lesion (infarction) and the contralateral<br />
normal area (10 patients of hyperacute stroke, 10 patients of acute stroke,<br />
6 patients of subacute stroke and 8 patients of chronic stroke).<br />
Lactate is not normally detected within the brain and, as the end<br />
product of glycolysis, is a particularly useful measure of metabolism. The<br />
concentration of lactate rises when the glycolysis rate exceeds the tissue's<br />
capacity to catabolise it or remove it from the blood stream. The rise in<br />
brain lactate that results from the mismatch between glycolysis and<br />
oxygen supply, making it the hallmark for the detection of cerebral
- 200 -<br />
DISCUSSION<br />
ischemia. The persistence of lactate weeks or months following stroke<br />
onset has been observed. Removal of lactate depends on tissue perfusion,<br />
the permeability of the blood brain barrier (BBB) and diffusion of the<br />
metabolite through the damaged tissue (Saunders, 2000 ).<br />
In our study the lactate is present in all hyperacute(100%),<br />
acute cases(100%), 3 cases of early subacute(75%) , 1 cases of late<br />
subacute(50%) and 4 cases of chronic stroke(50%) with statistical<br />
significant difference in lactate level among different stroke stages<br />
(p
- 201 -<br />
DISCUSSION<br />
This is consistent with our study as all our patients in different stroke<br />
stages showed decrease in the level of NAA. We also in agreement with<br />
Graham et al, 2001, Pereira et al, 1999, Mathews et al., 1995, , Graham<br />
et al,1993 and Graham et al, 1992 who observed that lnfarcts were<br />
characterized by significantly increased lactate and significantly<br />
decreased NAA compared with contralateral brain regions. Our study is<br />
consistent with Gideon et al, 1992 who concluded that the NAA content<br />
in infarcted brain tissue is considerably reduced compared with normal<br />
brain tissue.<br />
Initial reductions in Cr/PCr are identified following infarction and<br />
further reductions have been demonstrated up to 10 days following the<br />
time of onset. The pathological correlate is thought to be gliosis of the<br />
tissue. The reduction in NAA in the infarct region is more marked than<br />
the reduction in Cr/PCr and this is thought to reflect the increased<br />
sensitivity of neurons to ischemia, compared to glial tissue (Davis et al,<br />
2003) and (Saunders, 2000 ).<br />
These are consistent with our study as 28 patients showed reduction<br />
in Cr/PCr and 6 patients were normal or showed slight increase of Cr/PCr<br />
level.<br />
The trimethylamine resonance of choline-containing compounds is<br />
present at 3.22 ppm. In normal brain, the Cho peak is thought to consist<br />
predominantly of glycerolphosphocholine and phosphocholine.<br />
Both compounds are involved in membrane synthesis and degradation.<br />
Reduction in the choline peak has been proposed as a marker of<br />
membrane damage. The choline peak has been shown to be increased,<br />
decreased and stays the same following cerebral infarction. The changes<br />
in the choline peak are thought to reflect changes in the MR visibility of<br />
the choline containing compounds that make up the cell membrane. We
- 202 -<br />
DISCUSSION<br />
have shown a fall and then a late rise, maximal 3 months after onset of<br />
stroke. This may represent loss of membrane function, followed by late<br />
gliosis (Davis et al, 2003).<br />
In our study the choline level was decreased in 22 out of 26 cases of<br />
early ischemic stroke (hyperacute, acute and subacute stages) however in<br />
chronic stage choline level is increased in 4 cases and decreased in 4<br />
cases.<br />
When comparing MRS findings in different ischemic stroke stages we<br />
found that there is a statistical significant difference in NAA level among<br />
different stroke stages(p
- 203 -<br />
DISCUSSION<br />
extension, 2 cases of subarachnoid hemorrhage and 1 case of<br />
intraventricular hemorrhage .<br />
The ability to detect acute hemorrhage by MRI is related to the<br />
oxygen saturation of hemoglobin and its degradation. As a hematoma<br />
ages, the hemoglobin passes through several forms (oxyhemoglobin,<br />
deoxyhemoglobin, and methemoglobin) prior to red cell lysis and<br />
breakdown into ferritin and hemosiderin (Davis et al, 2003).<br />
Based on the most mature form of the hemoglobin present in the clot,<br />
five stages of evolving ICH have been described. The hyperacute stage<br />
lasts for 24 h, acute stage for 2–3 days, early subacute stage for 3–7 days,<br />
late subacute stage up to 2 weeks and chronic stage more than 2 weeks.<br />
The evolution of an ICH is a complex and dynamic process and the<br />
estimation of the time of onset based on MRI findings may be inaccurate<br />
(Kummer and Back, 2006).<br />
It was initially believed that on MRI an ICH of less than 24 h<br />
duration could not be distinguished reliably either from a mass lesion or<br />
from an acute infarct, because of an unspecific pattern of isointensity in<br />
T1 and slight hyperintensity on T2 imparted by the predominance of<br />
oxyhemoglobin. However, due to a reduced oxygen tension at the<br />
periphery of the clot, some deoxygenation of hemoglobin occurs<br />
immediately after the bleeding, and several studies have demonstrated<br />
that the resulting susceptibility effects can be visualized very early on T2-<br />
and particularly on T2*-weighted images as a hypointense rim . It was<br />
reported that the ability of high field MRI to reliably detect a spontaneous<br />
ICH as early as 20 min after onset and schematized the appearance of the<br />
hyperacute hemorrhage as consisting of three distinct concentric regions.<br />
The center of the hemorrhage appears isointense or heterogeneously<br />
hyperintense on T2- and T2*-weighted images, probably reflecting the
- 204 -<br />
DISCUSSION<br />
presence of intact oxyhemoglobin. The periphery is hypointense on T2-<br />
and T2*-weighted images reflecting the susceptibility effects due to<br />
deoxyhemoglobin, and finally there is an outer rim that appears<br />
hypointense on T1-weighted images and hyperintense on T2- and T2*-<br />
weighted images, suggestive of edema (Kummer and Back, 2006).<br />
Diffusion MR data would differ among the stages of evolving<br />
hematomas in that hematomas containing blood with intact cell<br />
membranes would have restricted diffusion compared with those<br />
hematomas in which RBC membranes have lysed. This hypothesis was<br />
based on several facts. First, the presence of intact cell membranes<br />
restricts molecular diffusion (Atlas et al, 2000).<br />
Results of DW imaging of hematomas at this stage have not been<br />
well characterized; however a hyperacute intraparenchymal hemorrhage<br />
is hyperintense on DW images, with a decreased apparent diffusion<br />
coefficient (ADC). The possible causes for the decreased ADC are<br />
shrinkage of the extracellular space due to clot retraction, changes in the<br />
concentration of hemoglobin and a high viscosity (Moritani et al, 2005).<br />
These are consistent with our study as we had 2 cases of hyperacute<br />
hemorrhagic stroke. At conventional MRI the lesions showed<br />
intermediate signal intensity at T1, slightly high signal intensity at T2WI,<br />
FLAIR and Gradient images. The periphery of the lesions showed low<br />
signal intensity at T2WI, FLAIR and Gradient (T2*) images. On DW<br />
images the lesions showed high signal intensity (restricted diffusion) and<br />
low signal intensity on ADC maps. We are also in agreement with<br />
Linfante et al, 1999 who reported that hyperacute hematomas have<br />
increased signal intensity present on FLAIR and T2WI, and the<br />
hypointensity present on T1WI and with Fiebach et al, 2004 and Patel<br />
et al, 1996 who concluded that Intracranial hemorrhage less than 24 hours
- 205 -<br />
DISCUSSION<br />
old has been postulated to be in the oxyhemoglobin phase and would be<br />
isointense on T1-weighted images and slightly hyperintense on T2-<br />
weighted images, with additional feature in all the cases is a peripheral<br />
rim of hypointensity on both T1- and T2-weighted images.<br />
In the absence of rebleeding, deoxygenation of the clot is completed<br />
in most cases by 24 h. At that time deoxyhemoglobin becomes the<br />
predominant blood breakdown product in the lesion. Due to its<br />
paramagnetic properties and its compartmentalization within still intact<br />
RBCs, deoxyhemoglobin exerts a strong susceptibility effect, which<br />
makes acute hematomas appear distinctly and characteristically dark on<br />
T2 weighted SE images, and more so on T2* weighted GRE images . On<br />
T1-weighted images, acute ICHs still appear isointense or mildly<br />
hypointense, as in the hyperacute stage. The parenchyma surrounding the<br />
clot exhibits a halo due to vasogenic edema and initial inflammatory<br />
reaction. The region of edema has long T1 and T2 relaxation times and<br />
appears hypointense on T1-weighted images and hyperintense on T2-<br />
weighted images (Kummer and Back, 2006).<br />
Diffusion-weighted images of an acute hematoma show a marked<br />
hypointensity, caused by the magnetic field inhomogeneity created by the<br />
para-magnetic deoxy-hemoglobin. Although The ADC has been reported<br />
to be decreased, accurate calculations are often difficult (Moritani et al,<br />
2005).<br />
These is consistent with our results as we had 2 cases of acute<br />
intracerebral hematomas. At T1WI they showed intermediate signal<br />
intensity with hyperintense peripheral rim however at they showed low<br />
signal intensity at T2-weighted, FLAIR and Gradient images. They<br />
showed low signal intensity on DW images and ADC maps.
- 206 -<br />
DISCUSSION<br />
This is also in agreement with Schaefer et al.,2000 who reported<br />
that hemorrhage containing deoxyhemoglobin, intracellular<br />
methemoglobin and hemosiderin and hypointense on DW images because<br />
of magnetic susceptibility and with Kang et al., 2001 who observed that<br />
all acute hemorrhagic cases showed marked hypointensity on DW, T2-<br />
weighted, FLAIR and Gragient images. We are also in agreement with<br />
Schellinger et al, 1999 who concluded that the key substrate for MRI<br />
visualization of hemorrhage is deoxyhemoglobin, which causes a signal<br />
loss in T2-weighted imaging (T2-WI) because of paramagnetic<br />
susceptibility effects, although usually not within the first 12 to 24 hours.<br />
The appearance of methemoglobin in the clot marks the transition<br />
from the acute to the subacute phase. In the early subacute phase,<br />
methemoglobin is still compartmentalized within red blood cells and<br />
hence generates local field gradients that maintain a T2 shortening effect<br />
similar to that induced by deoxyhemoglobin. Therefore, in the early<br />
subacute phase relaxivity effects and susceptibility effects coexist, i.e. the<br />
clot appears bright in T1, and dark in T2 and especially in T2*. This stage<br />
is expected to last for approximately 1 week (Kummer and Back, 2006).<br />
On DW imaging, intracellular met-hemoglobin shows hypointensity<br />
due to paramagnetic susceptibility effects and ADC measurements are not<br />
reliable due to susceptibility effects (Moritani et al, 2005).<br />
In our study we had 1case of early subacute hemorrhage. The case<br />
showed high signal intensity on T1, low signal intensity at T2-weighted,<br />
FLAIR and Gradient images. The patient showed low signal intensity on<br />
DW images and ADC maps.<br />
This is consistent also with Kang et al., 2001 who observed that all<br />
early subacute hemorrhagic cases showed marked hypointensity on DW,<br />
T2-weighted, FLAIR and Gradient images and with Schaefer et al.,2000
- 207 -<br />
DISCUSSION<br />
who reported that hemorrhage containing deoxyhemoglobin, intracellular<br />
methemoglobin and hemosiderin and hypointense on DW images because<br />
of magnetic susceptibility.<br />
As the clot ages, progressive fragmentation and osmotic phenomena<br />
damage RBC membranes until they eventually lyse. Hemolysis releases<br />
methemoglobin into the extracellular fluid compartment of the<br />
hematoma. The resulting dilution of methemoglobin in the extracellular<br />
fluids eliminates the biological field gradients, and with them the<br />
susceptibility phenomena, an effect that is observed initially at the<br />
periphery of the clot. When all methemoglobin is extracellular, the T2-<br />
shortening induced signal loss is no longer observed, so that the late<br />
subacute ICH is predominantly hyperintense in both T1- and T2-weighted<br />
images (Kummer and Back, 2006).<br />
It has been reported that late subacute hematomas are hyperintense<br />
on DW imaging. The ADC value for the late subacute hematoma is<br />
controversial (Moritani et al, 2005).<br />
Extracellular methemoglobin has a higher ADC than does normal<br />
brain tissue, which indicates that the mobility of water in the extracellular<br />
space is increased. The prolongation of the T2 component of fluid with<br />
extracellular methemoglobin results in hyperintensity on DW images<br />
(Schaefer et al.,2000).<br />
This is consistent with our study as we had 2 cases of late subacute<br />
hematoma that showed hyperintense signal at T1, T2, FLAIR , Gradient ,<br />
DW images and ACD maps.<br />
We are in agreement with Kang et al., 2001 who observed that all<br />
cases of late subacute hematomas showed marked hyperintensity at<br />
diffusion-weighted, T1-, T2-weighted and FLAIR images.
- 208 -<br />
DISCUSSION<br />
A chronic ICH initially shows a hypointense peripheral hemosiderin<br />
rim completely surrounding a central area hyperintense in all sequences<br />
due to the persistence of extracellular methemoglobin. The hemosiderin<br />
rim is less conspicuous on T1-weighted sequences and more conspicuous<br />
on T2- and T2*-weighted sequences (Kummer and Back, 2006).<br />
Diffusion-weighted images are hyperintense in chronic hematomas.<br />
The ADC value has been reported to be increased, but this is often<br />
difficult to measure accurately due to paramagnetic susceptibility artifacts<br />
(Moritani et al, 2005).<br />
Hemorrhage containing deoxyhemoglobin, intracellular<br />
methemoglobin and hemosiderin and hypointense on DW images because<br />
of magnetic susceptibility (Schaefer et al.,2000).<br />
We are in agreement with Kummer and Back, 2006 and Schaefer et<br />
al.,2000 as we had 1 case of chronic intracerebral hematoma. It showed<br />
low signal intensity with small high signal intensity center at T1-, T2-<br />
weighted, FLAIR and Gradient images. It showed low signal intensity on<br />
DW images with increased ADC value.<br />
Subarachnoid Hemorrhage (SAH) is responsible of 3% of all acute<br />
strokes and of 5% of stroke-related deaths. Rupture of intracranial<br />
saccular aneurysm accounts for about 85% of cases of SAH (Kummer<br />
and Back, 2006).<br />
Ninety per cent of non-traumatic SAHs are caused by ruptured<br />
Berry aneurysms ( Howlett and Ayers, 2004).<br />
Our results are in agreement with Kummer and Back, 2006 and<br />
Howlett and Ayers, 2004 as we had 2 cases of subarachnoid hemorrhage<br />
4 % (out of 50 patients with stroke). One of them is caused by rupture of<br />
intracranial aneurysm (50%). The difference in incidence of ruptured
- 209 -<br />
DISCUSSION<br />
intracranial aneurysms as a causative factor is due to the small number of<br />
SAH cases in our study.<br />
Conventional T1–WI and T2–WI were shown to be ineffective in<br />
the diagnosis of acute SAH. The detection of SAH may be improved by<br />
using PD–WI with shorter repetition times (TR) to visualize the T1-<br />
effect. FLAIR sequences have been reported to be suitable for the<br />
diagnosis of not only subacute but also acute SAH (Davis et al, 2003).<br />
We are in agreement with Davis et al, 2003 as Our 2 cases were<br />
subacute. On case was detected by all pulse sequences, however the other<br />
case was detected by FLAIR images only.<br />
It is often difficult to detect subarachnoid hemorrhage on DW<br />
images. However, DW images may be useful to visualize parenchymal<br />
injuries secondary to subarachnoid hemorrhage. Ischemic changes,<br />
probably related to subarachnoid hemorrhage, have shown hyperintensity<br />
on DW images (Moritani et al, 2005).<br />
Most intraventricular hemorrhages (IVHs) are secondary to ICH or<br />
SAH. Isolated IVH is rare and usually due to the rupture of underlying<br />
vascular malformations. Since the CSF in ventricles has a higher content<br />
in oxygen and glucose, the layered form evolves more slowly compared<br />
to the clotted form. The latter evolves at a rate similar to ICH. However,<br />
in the chronic stage, unlike ICH, IVHs do not show hemosiderin<br />
formation. Among the conventional sequences, proton density depicts<br />
IVH better than T1- and T2-weighted images. In the acute stage FLAIR<br />
may have better sensitivity than CT scan to demonstrate IVH. On FLAIR,<br />
in the initial 48 h IVH appears hyperintense (Kummer and Back, 2006).<br />
DW images can demonstrate intraventricular hemorrhages, but in general<br />
the GRE images have a higher sensitivity (Moritani et al, 2005).
- 210 -<br />
DISCUSSION<br />
We had 2 cases of intraventricular hemorrhage. One of them is<br />
associated with hyperacute intracerebral hematoma and showed the same<br />
signal intensity. The other case was acute and showed intermediate signal<br />
intensity at T1 and low signal intensity at all other pulse sequences.<br />
MR angiography has recently been established as a valid and<br />
sensitive tool to demonstrate pathologic findings in extra- and intracranial<br />
arteries in acute stroke (Seitz et al, 2005).<br />
Magnetic resonance angiography (MRA) was done to all our<br />
hemorrhagic stroke cases (11 patients), 5 patients showed positive finding<br />
[spasm in 2 cases and non filling in 1 case of intracerebral hematoma –<br />
aneurysm in 1 case and spasm in 1 case of SAH].<br />
The presence of a significant quantity of blood in the brain disrupts<br />
the homogeneity of the magnetic field due to the presence of the iron<br />
from the hemoglobin molecule, and spectroscopy cannot be carried out in<br />
patients with large intracerebral hemorrhages (Davis et al, 2003). So MR<br />
spectroscopic study was not included in our hemorrhagic stroke cases.
Summary and Conclusion<br />
- 211 -<br />
Summary& Conclusion<br />
Despite the efforts being made to develop effective treatments,<br />
ischemic stroke remains a common cause of death and disability in the<br />
industrialized world. It has been claimed that new imaging methods could<br />
provide valuable information in developing new therapies.<br />
Any magnetic resonance (MR) imaging protocol for acute ischemic<br />
stroke must be able to depict early ischemic changes in a sensitive manner.<br />
This can be achieved with diffusion-weighted (DW) and perfusion-<br />
weighted (PW) MR imaging. DW MR imaging depicts infarcted tissue<br />
within 5 minutes after the occlusion of the feeding vessel. PW imaging is<br />
able to depict hypoperfused brain tissue around the infarcted core. The<br />
mismatch between lesion sizes at PW and DW imaging (perfusion-diffusion<br />
mismatch) in the acute phase has been considered as an estimate of the<br />
ischemic penumbra and is helpful in selecting patients for different<br />
treatment groups (Karonen et al.,2000).<br />
Our study included 50 patients, 32males (64%) and 18 females (36%),<br />
their ages ranged from 19-90 with mean age 59.6±14.1 years. The most<br />
common risk factors in our study were hypertension (15 cases-30%)<br />
followed by ischemic heart disease (11 cases-22%).<br />
Our patients are divided into two main groups; ischemic stroke (39<br />
patients, 78%) and hemorrhagic stroke (11 patients, 22%).<br />
The first group, ischemic stroke patients (39 patients), are<br />
chronological divided into five stages. The hyperacute stage (1 st 6 hours)<br />
including 10 patients, the acute stage (6-24hours) including 12 patients, the<br />
early subacute stage (1-7 days) including 4 patients, late subacute stage(1-2
- 212 -<br />
Summary& Conclusion<br />
weeks) including 5 patients and chronic stage(>2weeks) including 8 cases.<br />
All these patients are subjected to different MRI techniques.<br />
On DWI we found decreased ADC in the hyperacute stage with<br />
more decrease in the acute stage and it started to increase to reach near<br />
normal levels in the late subacute stage with more increase in the<br />
chronic stage.<br />
Most of hyperacute and acute ischemic stroke patients (17 patients)<br />
were evaluated by perfusion weighted images (PWI). We used MTT and<br />
TTP maps for the correlation between the lesion size on perfusion weighted<br />
images and its size on DW images.<br />
Eight (8) patients of hyperacute and acute stroke in our series showed<br />
PWI> DWI, 7 patients of them were suffering from lesions in the<br />
distribution of large cerebral blood vessels . 6 patients of hyperacute, acute<br />
and chronic stroke showed DWI=PWI , their lesion were in the distribution<br />
of small vessels. 2 patients showed DWI>PWI , and 1 patient showed lesion<br />
visible on DWI but not on perfusion weighted images ,their lesion were in<br />
the distribution of small vessels with reperfusion.<br />
Postcontrast T1 was done in 11 patients. Vascular enhancement was<br />
positive in 5 patients out of them. Vascular enhancement was noted in<br />
hyperacute and acute stages not the chronic stages.<br />
Thirty four (34) cases of ischemic stroke patients are subjected to MR<br />
spectroscopic examination. Lactate was present in all hyperacute, acute<br />
cases, and most of subacute and chronic stages. Decrease in the level of<br />
NAA in all our patients in different stroke stages, reduction in Cr/PCr in<br />
most patients and varied level of choline amoung patients.
- 213 -<br />
Summary& Conclusion<br />
Our study included 11 patients of hemorrhagic stroke, they were 8<br />
cases with intracerebral hemorrhage; one of them showed intraventricular<br />
extension, 2 cases of subarachnoid hemorrhage and 1 case of<br />
intraventricular hemorrhage.<br />
We had 2 cases of hyperacute hemorrhagic stroke. At conventional<br />
MRI the lesions showed intermediate signal intensity at T1, slightly high<br />
signal intensity at T2WI, FLAIR and Gradient images. The periphery of the<br />
lesions showed low signal intensity at T2WI, FLAIR and Gradient (T2*)<br />
images. On DW images the lesions showed high signal intensity and low<br />
signal intensity on ADC maps. We had also 2 cases of acute intracerebral<br />
hematomas. At T1WI they showed intermediate signal intensity with<br />
hyperintense peripheral rim however at they showed low signal intensity at<br />
T2-weighted, FLAIR and Gradient images. They showed low signal<br />
intensity on DW images and ADC maps. We had 1case of early subacute<br />
hemorrhage. The case showed high signal intensity on T1, low signal<br />
intensity at T2-weighted, FLAIR and Gradient images. The patient showed<br />
low signal intensity on DW images and ADC maps. We had 2 case of late<br />
subacute hematoma that showed hyperintense signal at T1, T2, FLAIR,<br />
Gradient, DW images and ACD maps. We had 1 case of chronic<br />
intracerebral hematoma. It showed low signal intensity with small high<br />
signal intensity center at T1-, T2- weighted, FLAIR and Gradient images. It<br />
showed low signal intensity on DW images with increased ADC value.<br />
We had 2 cases of subarachnoid hemorrhage 4 % (out of 50 patients<br />
with stroke). One of them is caused by rupture of intracranial aneurysm<br />
(50%). Our 2 cases were subacute. On case was detected by all pulse<br />
sequences, however the other case was detected by FLAIR images only.<br />
We had 2 cases of intraventricular hemorrhage. One of them is<br />
associated with hyperacute intracerebral hematoma and showed the same
- 214 -<br />
Summary& Conclusion<br />
signal intensity. The other case was acute and showed intermediate signal<br />
intensity at T1 and low signal intensity at all other pulse sequences.<br />
MRA showed positive data in 5 out of 11 patients.<br />
Conclusion:<br />
*Diagnosis of ischemic stroke has been improved by the use of magnetic<br />
resonance(MR) imaging.<br />
*Diffusion Weighted Images (DWI) is superior to CT and conventional<br />
MRI sequences in early detection of hyperacute and acute ischemic stroke.<br />
*The combination DWI with Perfusion Weighted Images (PWI) enables<br />
identification of tissue at risk of infarction which is characterized by the<br />
mismatch between an area of restricted diffusion and a larger area with<br />
ischemic but still viable tissue on perfusion-weighted images.<br />
* MRA can pinpoint the cause of infarction mainly in large proximal<br />
vessels than distal smaller ones more in hyperacute and acute ischemic<br />
stages.<br />
*Contrast-enhanced T1-weighted images can show arterial enhancement in<br />
hyperacute and strokes due to slow or collateral flow.<br />
*The most striking changes in patients with cerebral infarction on MRS is<br />
the appearance of lactate with reduction in NAA and total Cr/PCr with<br />
variations in the concentrations of Cho.<br />
*Initial CT is important in early cases of stroke to diagnose Intracranial<br />
hemorrhage.<br />
*Based on the most mature form of the hemoglobin present in the clot, five<br />
stages of evolving ICH have been described. Each has specific appearance<br />
on conventional MRI and DW images.<br />
*MR angiography is a sensitive tool to demonstrate pathologic findings in<br />
extra- and intracranial arteries in hemorrhagic stroke as occlusion, spasm or<br />
intracranial aneurysms.
REFERENCES<br />
- 215 -<br />
References<br />
Akopov S. and Whitman G.T.(2002) : Hemodynamic Studies<br />
in Early Ischemic Stroke Serial Transcranial Doppler and Magnetic<br />
Resonance Angiography Evaluation. Stroke ;33:1274-1279.<br />
Atlas S.W., DuBois P., Singer M.B.and Lu D.(2000):<br />
Diffusion Measurment in Intracranial Hematomas: Implications for<br />
MR Imaging of Acute Stroke.AJNR;21:1190-1194.<br />
Beaucbamp N.J., Ulug A.M., Passe T.J. and Van Zijl<br />
P.C.M. (1998): MR Diffusion Imaging in Stroke: Review and<br />
Controversies. RadioGraphics; 18:1269-1283.<br />
Brant W.E. and Helms C.A.(2007): Fundamentals of<br />
Diagnostic Radiology, 2 nd edition, Lippincott Williams& Wilkins;<br />
chapter 2 Pp 30-44.<br />
Brown J.J., Hesselink J.R. and Rothrock J.F.(1988): MR<br />
and CT of Lacunar lnfarcts. AJR ;151:367-372.<br />
Brown M.A. and Semelka R.C.(2003): MRI-Basic Principles<br />
and Applications, 3 rd edition, Wiley-Liss, A John Wiley& Sons, Inc.,<br />
Hoboken, New Jersey, Canada;151-169.<br />
Butler P., Mitchell A.W.M. and Ellis H. (1999): Applied<br />
Radiological Anatomy, Cambridge University press, New York,<br />
Melbourne, Madrid, Cape Town, Singapore, Sao Paulo; chapter 2 Pp<br />
17-60.<br />
Caplan L.R. (2006): Stroke, Aan Press , American Academy<br />
of Neurology; chapter 1 Pp 4-20.
- 216 -<br />
References<br />
Chen P.E., Simon J.E., Hill M.D., Sohn C.H., Dickhoff P.,<br />
Morrish W.F., Sevick R.J.and Frayne R.(2006): Acute Ischemic<br />
Stroke: Accuracy of Diffusion-Weighted MR Imaging-Effects of b<br />
Value and Cerebrospinal Fluid Suppression. Radiology; 238(1):232-<br />
239.<br />
Crisostomo R.A., Garcia M.M.,and Tong D.C. (2003):<br />
Detection of Diffusion-Weighted MRI Abnormalities in Patients With<br />
Transient Ischemic Attack Correlation With Clinical Characteristics.<br />
Stroke; 34:932-937.<br />
Davis S., Fisher M. and Warach S.(2003): Magnetic<br />
Resonance Imaging In Stroke, Cambridge University Press, New<br />
York, Melbourne, Madrid, Cape Town, Singapore, Sao Paulo; 55-158.<br />
Debrey S.M., Yu H., Lynch J.K., Olof Lovblad K., Wright<br />
V.L., Janket S.J.D. , Baird A.E. (2008) : Diagnostic Accuracy of<br />
Magnetic Resonance Angiography for Internal Carotid Artery<br />
Disease. A Systematic Review and Meta-Analysis. Stroke; 39:2237-<br />
2248.<br />
Duijn J.H., Matson G.B., Maudsley A.A., Hugg J.W. and<br />
Weiner M.W.(1992): Human Brain Infarction: Proton MR<br />
Spectroscopy. Radiology; 183:711-718.<br />
Ebisu T, Tanaka C, Umeda M, Kitamura M, Fukunaga M,<br />
Aoki I, Sato H, Higuchi T, Narusa S, Horikawa Y and Ueda S.<br />
(1997) :Hemorrhagic and Non hemorrhagic Stroke: Diagnosis with<br />
Diffusion-Weighted and T2-Weighted Echo-planer MR Imaging.<br />
Radiology; 203: 823-828.
- 217 -<br />
References<br />
Eguchi K., Kario K.and Shimada K. (2003): Greater Impact<br />
of Coexistence of Hypertension and Diabetes on Silent Cerebral<br />
Infarcts. Stroke.; 34: 2471-2474.<br />
Federico F., Simone I.L., Lucivero V., Giannini P.,<br />
Laddomada G., Mezzapesa D.M.,and Tortorella C.(1998):<br />
Prognostic Value of Proton Magnetic Resonance Spectroscopy in<br />
Ischemic Stroke. Arch Neurol;55:489-494.<br />
Fiebach J.B., Schellinger P.D., Gass A., Kucinski T., Siebler<br />
M., Villringer A., Ölkers P., Hirsch J.G., Heiland S., Wilde P.,<br />
Jansen O., Röther J., Hacke W., and Sartor K. (2004): Stroke<br />
Magnetic Resonance Imaging Is Accurate in Hyperacute Intracerebral<br />
Hemorrhage A Multicenter Study on the Validity of Stroke Imaging.<br />
Stroke; 35:502-507.<br />
Fiehler J., Knudsen K., Kucinski T., Kidwell C.S., Alger<br />
J.R., Thomalla G., Eckert B., Wittkugel O., Weiller C., Zeumer<br />
H.,and Röther J. (2004) : Predictors of Apparent Diffusion<br />
Coefficient Normalization in Stroke Patients. Stroke; 35:514-519.<br />
Gazzaniga M.S., Ivry R.B. and Mangun G.R. (2002):<br />
Cognitive Neuroscience The biology of the Mind, 2 nd edition, Norton<br />
& Company; chapter 3.<br />
Gideon P., Henriksen D., Sperling B., Christiansen P., Olsen<br />
T.S., Jorgensen H.S., and Soborg P.A.(1992) : Early Time Course<br />
of JV-Acetylaspartate, Creatine and Phosphocreatine, and Compounds<br />
Containing Choline in the Brain After Acute Stroke. A Proton<br />
Magnetic Resonance Spectroscopy Study. Stroke ; 23:1566-1572.
- 218 -<br />
References<br />
Gillard J.H., Barker P.B., van Zijl P.C.M., Bryan R.N.,and<br />
Oppenheimer S.M.(1996): Proton MR Spectroscopy in Acute Middle<br />
Cerebral Artery Stroke. AJNR; 17:873–886.<br />
Gonzalez R.G., Hirsch J.A., Koroshetz W.J., Lev M.H. and<br />
Schaefer P.(2006) : Acute ischemic stroke: Imaging and Intervention,<br />
Springer, Berlin, Heidelberg, New York ; 246-284.<br />
Gonzalez R.G., Schaefer P.W., Buonanno F.S., Schwamm<br />
L.H., Budzik R.F., Rordorf G., Wang B., Sorensen A.G. and<br />
Koroshetz WJ. (1999) :Diffusion Weighted MR Imaging: Diagnostic<br />
Accuracy in patients Imaged within 6 Hours of Stroke Symptom<br />
Onset. Radiology;210: 155-162.<br />
Graham G.D., Blamire A.M., Howseman A.M., Rothman<br />
D.L., Fayad P.B., Brass L.M., Petroff O.A.C., Shulman R.G., and<br />
Prichard J.W. (1992) : Proton Magnetic Resonance Spectroscopy of<br />
Cerebral Lactate and Other Metabolites in Stroke Patients. Stroke ;<br />
23:333-340.<br />
Graham G.D. ,Blamire A.M., Rothman D.L., Brass L.M.,<br />
Fayad P.B., Petroff O.A.C.,and Prichard J.W. (1993): Early<br />
Temporal Variation of Cerebral Metabolites After Human Stroke. A<br />
Proton Magnetic Resonance Spectroscopy Study. Stroke; 24:1891-<br />
1896.<br />
Graham G.D., Hwang J.H., Rothman D.L.,and Prichard<br />
J.W. (2001) : Spectroscopic Assessment of Alterations in<br />
Macromolecule and Small-Molecule Metabolites in Human Brain<br />
After Stroke. Stroke. ;32:2797-2802.<br />
Grandian C.B., Duprez T.P., Smith A.M., Oppenheim C.,<br />
Peeters A., Robert A.R. and Cosnard G.(2002): Which MR-derived<br />
Perfusion Parameters are the Best Predictors of Infarct Growth in
- 219 -<br />
References<br />
Hyperacute Stroke? Comparative Study between Relative and<br />
Quantitative Measurments.Radiology;223: 361-370.<br />
Haaga J.R., Lanzieri C.F. and Gilkeson R.C.(2003):<br />
Computed Tomography And Magnetic Resonance Imaging of the<br />
whole body, 4 th edition, Mosby, St Louis , Baltimore, Berlin, Boston,<br />
Carlsbad, Chicago, London, Madrid, Naples, New York, Philadelphia,<br />
Sydney, Tokyo, Toronto; vol 1 chapter 7 Pp 246-284.<br />
Howlett D.C. and Ayers B., (2004): The hands-on guide to<br />
imaging, Blackwell Publishing, Oxford, London, Edinburg, Malden,<br />
Paris, chapter 12 Pp 195-213.<br />
Huang I.J., Chen C.Y., Chung H.W., Chang D.C., Lee C.C.,<br />
Chin S.C. and Liou M.(2002) : Time Course of Cerebral Infarction<br />
in the Middle Cerebral Arterial Territory: Deep Watershed versus<br />
Territorial Subtypes On Diffusion-Weighted MR Images.Radiology;<br />
221:35-42.<br />
Jansen J.F.A., Backes W.H., Nicolay K., Kooi M.E. (2006):<br />
1H MR Spectroscopy of the Brain: Absolute Quantification of<br />
Metabolites. Radiology; 240 (2):318-332.<br />
Kaminska K., Walecki J., Grieb P., Bogorodzki P.(2007):<br />
Magnetic resonance spectroscopy-State of art and future. Polish<br />
Journal of Radiology; 72(1):71-75.<br />
Kang B.K., Na D.G., Ryoo J.W., Byun H.S., Roh H.G. and<br />
Pyeun Y.S.(2001): Diffusion-Weighted MR Imaging of Intracerebral<br />
Hemorrhage. Korean J Radiol ;2(4):183-191.<br />
Karonen J.O., Liu Y., Vanninen R.L., Ostergaard L.,<br />
Partanen P.L.K., Vainio E.J., Vanninen E.J., Nuutinen J.,<br />
Roivainen R., Soimakallio S., Kuikka J.T. and Aronen H.J.(2000):
- 220 -<br />
References<br />
Combined Perfusion and Diffusion Weighted MR Imaging in Acute<br />
ischemic Stroke during the 1 st Week: A Longitudinal Study.<br />
Radiology; 217:886-894.<br />
Karonen J.O., Vanninen R.L., Liu Y., Østergaard L.,<br />
Kuikka J.T., Nuutinen J., Vanninen E.J., Partanen P.L.K., Vainio<br />
P.A., Korhonen K., Perkio J., Roivainen R., Sivenius J.,and<br />
Aronen H.J. (1999) : Combined Diffusion and Perfusion MRI With<br />
Correlation to Single-Photon Emission CT in Acute Ischemic Stroke<br />
Ischemic Penumbra Predicts Infarct Growth.Stroke;30:1583-1590.<br />
Keir S.L. ,and Wardlaw J. M. (2000) : Systematic Review of<br />
Diffusion and Perfusion Imaging in Acute Ischemic Stroke.<br />
Stroke;31:2723-2731.<br />
Kesavadas C., Fiorelli M., Gupta A.K., Pantano P., Bozzao<br />
L.and Kapilamoorthy T.R.(2003) : Diffusion weighted magnetic<br />
resonance imaging in acute ischemic stroke. Indian Journal of<br />
Radiology and Imaging ;13(4): 433-440.<br />
Kim H.J., Choi C.G., Lee DH, Lee J.H., Kim S.J. and Suh<br />
D.C. (2005): High b-Value Diffusion MR Imaging of Hyperacute<br />
Ischemic Stroke at 1.5T. AJNR; 26:208-215.<br />
Kim H.S., Lee D.H., Ryu C.W., Lee J.H., Choi C.G., Kim<br />
S.J.and Suh D .C. (2006): Multiple Cerebral Microbleeds in<br />
Hyperacute Ischemic Stroke: Impact on Prevalence and Severity of<br />
Early Hemorrhagic Transformation After Thrombolytic Treatment.<br />
AJR; 186:1443–1449.<br />
Krueger K., Kugel H., Grond M., Thiel A., Maintz D.,and<br />
Lackner K. (2000) : Late Resolution of Diffusion-Weighted MRI<br />
Changes in a Patient With Prolonged Reversible Ischemic
- 221 -<br />
References<br />
Neurological Deficit After Thrombolytic Therapy. Stroke; 31:2715-<br />
2718.<br />
Kummer R.V. and Back T. (2006): Magnetic Resonance<br />
Imaging in Ischemic Stroke, Springer, Berlin, Heidelberg, New York<br />
;23-249.<br />
Lansberg MG, Thijs VN, O'Brien MW, Ali JO, Cresping<br />
AJ, Tong DC, Moseley ME and Albers GW.(2001): Evolution of<br />
Apparent Diffusion Coefficient, Diffusion-Weighted and T2-<br />
Weighted Signal intensity of Acute Stroke. AJNR;22:637-644.<br />
Lee D. H., Kang D.W., Ahn J.S., Choi C. G, Kim S.J.,and<br />
Suh D.C. (2005) : Imaging of the Ischemic Penumbra in Acute<br />
Stroke. Korean J Radiol ;6:64-74.<br />
Linfante I., Llinas R.H., Caplan L.R., and Warach S. (1999)<br />
: MRI Features of Intracerebral Hemorrhage Within 2 Hours. From<br />
Symptom Onset. Stroke;30:2263-2267.<br />
Liney G.(2005) : MRI from A to Z,A Definitive Guide for<br />
Medical <strong>Prof</strong>essionals, Cambridge, New York, Melbourne, Madrid,<br />
Cape Town, Singapore, São Paulo: Pp6.<br />
Liu Y., D’Arceuil H.E., Westmoreland S., He J., Duggan M.,<br />
Gonzalez R.G. , Pryor J. ,and de Crespigny A.J. (2007): Serial<br />
Diffusion Tensor MRI After Transient and Permanent Cerebral<br />
Ischemia in Nonhuman Primates. Stroke; 38:138-145.<br />
Liu Y., Karonen J.O., Vanninen R.L., Nuutinen J., Koskela<br />
A., Soimakallio S., Aronen H.J. (2004): Acute Ischemic Stroke:<br />
Predictive Value of 2D Phase-Contrast MR Angiography—Serial<br />
Study with Combined Diffusion and Perfusion MR Imaging.<br />
Radiology ; 231:517–527.
- 222 -<br />
References<br />
Loh P.S., Butcher K.S., Parsons M.W., MacGregor L.,<br />
Desmond P.M., Tress B.M. ,and Davis S.M. (2005) : Apparent<br />
Diffusion Coefficient Thresholds Do Not Predict the Response to<br />
Acute Stroke Thrombolysis. Stroke. ;36:2626-2631.<br />
Makkat S., Vandevenne J.E., Verswijvel G., Ijsewijn T.,<br />
Grieten M., Palmers Y., De Schepper A.M. and Parizel P.M.<br />
(2002):Signs of Acute Stroke Seen on Fluid-Attenuated Inversion<br />
Recovery MR Imaging. AJR;179: 237–243.<br />
Mathews V.P., Barker P.B., Blackband S.J., Chatham J.C.<br />
and Bryan1 R.N. (1995): Cerebral Metabolites in Patients with Acute<br />
and Subacute Strokes: Concentrations Determined by Quantitative<br />
Proton M R Spectroscopy. AJR;165: 633-638.<br />
McRobbie D.W., Moore E.A., Graves M.J. and Prince M.R.<br />
(2006): MRI From Picture to Proton, Second edition, CAMBRIDGE<br />
UNIVERSITY PRESS, New York, Melbourne, Madrid, Cape Town,<br />
Singapore, Sao Paulo, chapter 13 Pp 258-281.<br />
Mori S. (2007): Introduction to Diffusion Tensor Imaging, 1 st<br />
edition, Elsevier B.V., Amsterdam, Oxford; chapter 4 Pp 33-40.<br />
Moritani T., Ekholm S.,and Westesson P.L. (2005):<br />
Diffusion-Weighted MR Imaging of the Brain, Springer, Berlin,<br />
Heidelberg, New York ,chapter 6 Pp 55-68.<br />
Mullins M.E. (2006): Modern Emergant Stroke Imaging:<br />
Pearls, Protocols, and Pitfalls. Radilogic Clinics of North America;<br />
44: 41-62.<br />
Mullins M.E., Schaefer P.W., Sorensen A.G., Halpern E.F.,<br />
Ay H., He J., Koroshetz W.J. and Gonzalez R.G.(2002): CT and<br />
Conventional and Diffusion –Weighted MR Imaging in Acute stroke:
- 223 -<br />
References<br />
Study in 691 patients at presentation to the Emergancy Department.<br />
Radiology 224:353-360.<br />
Nazliel B., Starkman S., Liebeskind D.S., Ovbiagele B.,<br />
Kim D., Sanossian N., Ali L., Buck B., Villablanca P., Vinuela F.,<br />
Duckwiler G., Jahan R.and Saver J.L.(2008) : A Brief Prehospital<br />
Stroke Severity Scale Identifies Ischemic Stroke Patients Harboring<br />
Persisting Large Arterial Occlusions. Stroke; 39:2264-2267.<br />
Neumann-Haefelin T., Wittsack H.J., Fink G.R., Wenserski<br />
F., Li T.Q., Seitz R.J., Siebler M., Modder U.,and Freund H.J.<br />
(2000): Diffusion- and Perfusion-Weighted MRI Influence of Severe<br />
Carotid Artery Stenosis on the DWI/PWI Mismatch in Acute Stroke.<br />
Stroke;31:1311-1317.<br />
Neumann-Haefelin T., Wittsack H.J., Wenserski F., Siebler<br />
M., Seitz R.J., Modder U., and Freund H.J.(1999) : Diffusion- and<br />
Perfusion-Weighted MRI The DWI/PWI Mismatch Region in Acute<br />
Stroke. Stroke; 30:1591-1597.<br />
Oppenheim C., Grandin C., Samson Y., Smith A., Duprez<br />
T., Marsault C.,and Cosnard G.(2001) : Is There an Apparent<br />
Diffusion Coefficient Threshold in Predicting Tissue Viability in<br />
Hyperacute Stroke?. Stroke. ;32:2486-2491.<br />
Patel M.R., Edelman R.R.,and Warach S.(1996) : Detection<br />
of Hyperacute Primary Intraparenchymal Hemorrhage by Magnetic<br />
Resonance Imaging. Stroke; 27:2321-2324.<br />
Pereira A.C., Saunders D.E., Doyle V.L., Bland J.M., Howe<br />
F.A., Griffiths J.R., and Brown M.M. (1999) : Measurement of<br />
Initial N-Acetyl Aspartate Concentration by Magnetic Resonance<br />
Spectroscopy and Initial Infarct Volume by MRI Predicts Outcome in
- 224 -<br />
References<br />
Patients With Middle Cerebral Artery Territory Infarction. Stroke;<br />
30:1577-1582.<br />
Perkins C.J., Kahya E., Roque C.T., Roche P.E.,and<br />
Newman G.C.(2001) : Fluid-Attenuated Inversion Recovery and<br />
Diffusion- and Perfusion-Weighted MRI Abnormalities in 117<br />
Consecutive Patients With Stroke Symptoms. Stroke ;32:2774-2781.<br />
Prosser J., Butcher K., Allport L., Parsons M., MacGregor<br />
L., Desmond P., Tress B. and Davis S. (2005): Clinical-Diffusion<br />
Mismatch Predicts the Putative Penumbra With High Specificity.<br />
Stroke; 36:1700-1704.<br />
Provenzale J.M. and Barboriak D.P.(1997) : Brain Infarction<br />
in Young Adults: Etiology and Imaging Findings. AJR ;169:1 161-1<br />
168.<br />
Provenzale J.M. and Sorensen A.G. (1999) : Diffusion-<br />
Weighted MR Imaging in Acute Stroke: Theoretic Considerations and<br />
Clinical Applications. AJR ;173:1459-1467.<br />
Rajeshkannan R., Moorthy S., Sreekumar K.P. , Rupa R.<br />
and Prabhu N.K. (2006):Clinical Application of Diffusion Weighted<br />
MR Imaging:A Review. Ind J Radiol Imag;16(4): 705-710.<br />
Reimer P.,Parizel P.M. and Stichnoth F.A.(2006): Clinical<br />
MR Imaging, A practical Approach, 2 nd edition, Springer, Berlin<br />
Heidelberg New York; chapter 4 Pp 65-76.<br />
Rima K., Rohit G., Anjali P., and Veena C. (2003) : Role of<br />
diffusion weighted MR images in early diagnosis of cerebral<br />
infarction. Indian Journal of Radiology and Imaging ;13(2) : 213-217.<br />
Rovira A., Orellana P., Sabý´n J., Arenillas J.F., Aymerich<br />
X., Grive E., Molina C.,and Rovira-Gols A. (2004): Hyperacute
- 225 -<br />
References<br />
Ischemic Stroke:Middle Cerebral Artery Susceptibility Sign at Echo-<br />
planar Gradient-Echo MR Imaging. Radiology; 232:466–473.<br />
Rowley H.A. (2001): The Four Ps of Acute Stroke Imaging:<br />
Parenchyma, Pipes, Perfusion, and Penumbra. AJNR; 22:599-601.<br />
Ryan S., McNicholas M., Eustace S. (2004):Anatomy for<br />
Diagnostic Imaging, 2 nd edition, Saunders, Edinburgh, London, New<br />
York, Oxford, Philadelphia, St Louis, Sydney, Toronto; chapter 2 Pp<br />
46-84.<br />
Salvolini U., Scarabino T. (2006) : High Field Brain MRI,<br />
Use in Clinical Practice, Springer-Verlag , Berlin, Heidelberg, New<br />
York, chapter 14 Pp 177-185.<br />
Sanghvi D.A., Anand S. and Limaye U. (2007): Hyperacute<br />
Stroke Imaging : How much is enough?. Indian Journal of Radiology<br />
and Imaging ;17(4): 237-241.<br />
Saunders D.E. (2000) : MR spectroscopy in stroke. British<br />
Medical Bulletin ; 56 (No 2) 334-345.<br />
Saur D., Kucinski T., Grzyska U., Eckert B., Eggers C.,<br />
Niesen W., Schoder V., Zeumer H., Weiller C., and Rother<br />
J.(2003): Sensitivity and Interrater Agreement of CT and Diffusion-<br />
Weighted MR Imaging in Hyperacute Stroke. AJNR ;24:878–885.<br />
Schaefer P.W., Grant P.E. and Gonzalez G. (2000): State of<br />
the Art: Diffusion-Weighted MR Imaging of the Brain. Radiology;<br />
217:331-345.<br />
Schaller B. (2007): State Of The Art, Imaging in Stroke, Nova<br />
Science publishers, Inc, New York; vol 1, chapter 4 Pp 89-109.
- 226 -<br />
References<br />
Schellinger P.D., Jansen O., Fiebach J.B., Hacke W., and<br />
Sartor K.(1999) : A Standardized MRI Stroke Protocol Comparison<br />
with CT in Hyperacute Intracerebral Hemorrhage. Stroke;30:765-768.<br />
Schramm P., Schellinger P.D., Fiebach J.B., Heiland S.,<br />
Jansen O., Knauth M., Hacke W. ,and Sartor K. (2002) :<br />
Comparison of CT and CT Angiography Source Images With<br />
Diffusion-Weighted Imaging in Patients With Acute Stroke Within 6<br />
Hours After Onset. Stroke; 33:2426-2432.<br />
Schramm P., Schellinger P.D., Klotz E., Kallenberg K.,<br />
Fiebach J.B., Kulkens S., Heiland S., Knauth M., and Sartor K.<br />
(2004) : Comparison of Perfusion Computed Tomography and<br />
Computed Tomography Angiography Source Images With Perfusion-<br />
Weighted Imaging and Diffusion-Weighted Imaging in Patients With<br />
Acute Stroke of Less Than 6 Hours’ Duration. Stroke; 35:1652-1658.<br />
Seitz R.J., Meisel S., Weller P., Junghans U, Wittsack<br />
H.J.and Siebler M (2005) : Initial Ischemic Events: Perfusion-<br />
Weighted MR Imaging and Apparent Diffusion Coefficient for Stroke<br />
Evolution. Radiology; 237: 1020-1028.<br />
Smith W.S., Roberts H.C., Chuang N.A., Ong K.C., Lee<br />
T.J., Johnston S.C. and Dillon W.P.(2003): Safety and Feasibility of<br />
a CT Protocol for Acute Stroke: Combined CT, CT Angiography and<br />
CT Perfusion Imaging in 53 Consecutive Patients. AJNR; 24:688-690.<br />
Smoller S.W., Anderson G., Psaty B.M., Black H.R.,<br />
Manson J., Wong N., Francis J., Grimm R., Kotchen T., Langer<br />
R.,and Lasser N.(2000): Hypertension and Its Treatment in<br />
Postmenopausal Women Baseline Data from the Women’s Health<br />
Initiative. Hypertension; 36:780-789.
- 227 -<br />
References<br />
Snell R. S. (2007): Clinical Anatomy By Systems, Lippincott<br />
Williams& Wilkins, Philadelphia, Baltimore; Pp 687-689.<br />
Snell R. S. (2008): Clinical Anatomy By Regions, 8 th edition,<br />
Lippincott Williams& Wilkins, Philadelphia, Baltimore ;Pp 687-689.<br />
Somay G., Topaloglu, Somay H., Araal O., Halac G.U. and<br />
Bulkan M.(2006): Cerebrovascular Risk Factors and Stroke Subtypes<br />
in Different Age Groups: A Hospital-Based Study. Turk J Med Sci; 36<br />
:23-29.<br />
Somford D.M., Marks M.P., Thijs V.N. and Tong D.C.<br />
(2004): Association with early CT abnormalities, Infarct Size, and<br />
Apparent Diffusion Coefficient Reduction in Acute Ischemic Stroke.<br />
AJNR;25:933-938.<br />
Sorensen A.G. and Reimer P. (2000): Cerebral MR Perfusion<br />
Imaging: Principles and Current Applications, Georg Thieme Verlag,<br />
Stuttgart, New York ; 3-61.<br />
Srinivasan A, Goyal M, Al Azri F and Lum C.( 2006): State<br />
of Art Imaging of Acute Stroke. RadioGraphics; 26: 75-96.<br />
Sunshine J.L., Bambakidis N., Tarr R.W., Lanzieri C.F.,<br />
Zaidat O.O., Suarez J.I., Landis D.M.D., and Selman W.R. (2001):<br />
Benefits of Perfusion MR Imaging Relative to Diffusion MR Imaging<br />
in the Diagnosis and Treatment of Hyperacute Stroke.AJNR; 22:915-<br />
921.<br />
Sutton D. (2003) : Textbook Of Radiology And Imaging, 7th<br />
edition, Churchill Livingstone, vol II, chapter 6 Pp 1489-1846.<br />
Tank P. W. (1999): Grant's Dissector, fourteenth edition,<br />
Lippincott Williams& Wilkins, Philadelphia, Baltimore; Pp 220&<br />
225.
- 228 -<br />
References<br />
Torbey M.T. and Selim M.H. (2007): The Stroke Book,<br />
Cambridge University Press, New York, Melbourne, Madrid, Cape<br />
Town, Singapore, Sao Paulo; chapter 4 Pp 49-65.<br />
Uflacker R. (2007): Atlas of vascular Anatomy: An<br />
Angiographic Approach , 2 nd edition, Lippincott Williams& Wilkins,<br />
Philadelphia, Baltimore, New York, London, Buenos Aires, Hong<br />
Kong, Sydney, Tokyo; chapter 2 Pp 12-23.<br />
Weir J. and Abrahams P.H. (2000): Imaging atlas of human<br />
anatomy. 2 nd edition. Mosby-Wolf, London:163,181 and 182.<br />
Weissleder R., Wittenberg J., Harisinghani M.G. (2003):<br />
Primer of Diagnostic Imaging,3rd edition, Mosby, Philadelphia,<br />
Pennsylvania, chapter 6 Pp 485-588.<br />
Wessels T, Wessels C, Ellsiepen A, Reuter I, Trittmacher S,<br />
Stolz E and Jauss M. (2005): Contribution of Diffusion-Weighted<br />
Imaging in Determination of Stroke Etiology. AJNR ;27 :35-39.<br />
Westbrook C. (1999): Handbook of MRI Technique, 2 nd<br />
edition, Blackwell Science, Oxford, London, Edinburg, Malden, Paris:<br />
47-132.<br />
Wilcock D.J., Jones D.K., Horsfield M.A. and Cherryman<br />
G.R.(1999): Echoplanar MRI in patients with acute stroke syndrome.<br />
The British Journal of Radiology; 72:914-922.<br />
Wittsack HJ, Ritzl A, Fink GR, Wenserski F, Seitz RJ,<br />
Modder U and Freund HJ. (2002): MR imaging in Acute Stroke:<br />
Diffusion-Weighted and Perfusion Imaging Parameters for Predicting<br />
Infarct Size. Radiology;222:397-403.<br />
Wityk R.J. and Llinas R.H.(2006): Stroke, ACP Press; 5-40.
- 229 -<br />
References<br />
Wu O., Koroshetz W.J., Østergaard L., Buonanno F.S.,<br />
Copen W.A., Gonzalez R.G., Rordorf G., Rosen B.R., Schwamm<br />
L.H., Weisskoff R.M.,and Sorensen A.G.(2001) : Predicting Tissue<br />
Outcome in Acute Human Cerebral Ischemia Using Combined<br />
Diffusion- and Perfusion-Weighted MR Imaging. Stroke; 32:933-942.<br />
Yang J.J., Hill M.D., Morrish W.F., Hudon M.E., Barber<br />
P.A., Demchuk A.M., Sevick R.J., Frayne R.(2001): Post-contrast<br />
3D TOF MRA: Possible Role in Acute Stroke?. Proc. Intl. Soc. Mag.<br />
Reson. Med 9:1390.<br />
Yang Q., Tress B.M., Barber P.A., Desmond P.M., Darby<br />
D.G., Gerraty R.P., Li T.,and Davis S.M.(1999) : Serial Study of<br />
Apparent Diffusion Coefficient and Anisotropy in Patients With Acute<br />
Stroke. Stroke; 30:2382-2390.
ﺔﻗﺎﻋﻹا<br />
ﻰﻟإ<br />
- 1 -<br />
ﻲﺑﺮﻌﻟا ﺺﺨﻠﻤﻟا<br />
يدﺆﺗ ﻰﺘﻟا بﺎﺒﺳﻷا ﻢهأ ﻦﻣ ﺮﺒﺘﻌﺗ ﺎﻤآ تﺎﻴﻓﻮﻟا بﺎﺒﺳأ ﻢهأ ﻦﻣ ﺔﻴﻏﺎﻣﺪﻟا ﺔﺘﻜﺴﻟا ﺮﺒﺘﻌﺗ<br />
راﺮﻘﻟا ﺬﺧأ ﻦﻣ ﻦﻜﻤﺘﻠﻟ تﻻﺎﺤﻟا ﻩﺬﻬﻟ<br />
ﺮﻜﺒﻤﻟا ﺺﻴﺨﺸﺘﻟا ةروﺮﺿ ﺐﺟﻮﺘﺴﻳ ﺎﻤﻣ ﺮﻀﺤﺘﻤﻟا ﻢﻟﺎﻌﻟا ﻲﻓ<br />
ﺦﻤﻟا ﻦﻣ ءﺰﺟ ﻰﻟا ﺔﻳﻮﻣﺪﻟا ةروﺪﻟا ﻲﻓ رﻮﺼﻗ<br />
ﻦﻋ ﺔﺠﺗﺎﻧ تﻻﺎﺣ<br />
ﻰﻟإ<br />
. جﻼﻌﻟا ﺔﻘﻳﺮﻃ ﻦﻋ ﺢﻴﺤﺼﻟا<br />
ﺔﻴﻏﺎﻣﺪﻟا ﺔﺘﻜﺴﻟا تﻻﺎﺣ ﻢﺴﻘﻨﺗ<br />
. ﺦﻤﻟا ﻞﺧاد ﻒﻳﺰﻨﻟا ﻦﻋ ﺔﺠﺗﺎﻧ تﻻﺎﺣ وأ<br />
و ﺎﻬﺘﻟﻮﻬﺴﻟ رﺎﺸﺘﻧﻻا ﻊﺳاو ﺔﻴﻏﺎﻣﺪﻟا ﺔﺘﻜﺴﻟا ﺺﻴﺨﺸﺗ ﻲﻓ ﺔﻐﺒﺻ نوﺪﺑ ﺔﻴﻌﻄﻘﻤﻟا ﺔﻌﺷﻷا ماﺪﺨﺘﺳا نإ<br />
رﻮﺼﻗ ﻦﻋ ﺔﺠﺗﺎﻨﻟا تﻻﺎﺤﻟا ﺾﻌﺑ ﻰﻟإ<br />
ﺔﻓﺎﺿﻻﺎﺑ ﻒﻳﺰﻨﻟا تﻻﺎﺣ ﺺﻴﺨﺸﺗ ﻦﻣ ﺎﻨﻜﻤﺗ ﺚﻴﺣ ﺎﻬﺘﻋﺮﺳ<br />
مﺪﻋو<br />
تﻻﺎﺤﻟا ﻢﻈﻌﻤﻟ ﺮﻜﺒﻤﻟا ﺺﻴﺨﺸﺘﻟا ﻲﻓ ﺎﻬﺘﻴﺳﺎﺴﺣ مﺪﻋ ﺎﻬﺑﻮﻴﻋ<br />
ﻦﻣ ﻦﻜﻟ و ﺔﻳﻮﻣﺪﻟا<br />
ةروﺪﻟا ﻲﻓ<br />
. ﺔﺑﺎﺻﻹا<br />
ﻢﺠﺣ ﺪﻳﺪﺤﺗ ﻲﻓ ﺔﻗﺪﻟا مﺪﻋ و ةﺮﻴﻐﺼﻟا تﺎﺑﺎﺻﻹا<br />
ﺾﻌﺑ رﺎﻬﻇإ<br />
ﻰﻠﻋ ةرﺪﻘﻟا<br />
ﺔﺘﻜﺴﻟا تﻻﺎﺣ ﺺﻴﺨﺸﺗ ﻲﻓ ﺔﻴﻌﻄﻘﻤﻟا ﺔﻌﺷﻷا ﻦﻣ ﺔﻗد ﺮﺜآأ يﺪﻴﻠﻘﺘﻟا ﻲﺴﻴﻃﺎﻨﻐﻤﻟا ﻦﻴﻧﺮﻟا ﺮﺒﺘﻌﻳ<br />
ﺺﻴﺨﺸﺗ ﻰﻠﻋ ةرﺪﻘﻟا مﺪﻋ ﺎﻤﻬﺑﻮﻴﻋ ﻦﻣ ﻦﻜﻟ و ﺔﻳﻮﻣﺪﻟا<br />
رود ءﺎﺟ ﺎﻨه ﻦﻣ و ﺔﺑﺎﺻﻹا<br />
ﻦﻣ ﻰﻟوﻷا تﺎﻋﺎﺳ ﺖﺴﻟا ﻰﻟإ<br />
ةروﺪﻟا ﻲﻓ رﻮﺼﻗ ﻦﻋ ﺔﺠﺗﺎﻨﻟا ﺔﻴﻏﺎﻣﺪﻟا<br />
ثﻼﺜﻟا لﻼﺧ تﻻﺎﺤﻟا ﻦﻣ ﺮﻴﺜﻜﻟا<br />
ﺎﻬﺗرﺪﻘﻟ ﺔﻴﻏﺎﻣﺪﻟا ﺔﺘﻜﺴﻟا<br />
تﻻﺎﺣ ﺺﻴﺨﺸﺗ ﻰﻓ ﻰﺴﻴﻃﺎﻨﻐﻤﻟا ﻦﻴﻧﺮﻟا ماﺪﺨﺘﺳﺎﺑ ﺔﻳوﺮﺘﻟا و<br />
ﻲﻠﻋ ﺎﻬﺗرﺪﻗ ﻲﻟا ﻪﻓﺎﺿﻻﺎﺑ ﻪﺑﺎﺻﻹا<br />
ﻦﻣ ﻰﻟوﻷا<br />
تﺎﻋﺎﺳ ﺖﺴﻟا لﻼﺧ تﻻﺎﺤﻟا<br />
رﺎﺸﺘﻧﻻا<br />
ﻢﻈﻌﻣ ﺺﻴﺨﺸﺛ ﻰﻠﻋ<br />
. ﺔﻨﻣﺰﻤﻟاو<br />
ﻩدﺎﺤﻟا ﺔﻴﻏﺎﻣﺪﻟا ﺔﺘﻜﺴﻟا تﻻﺎﺣ ﻦﻴﺑ ﺔﻗﺮﻔﺘﻟاو ﻪﻘﻴﻗﺪﻟا ثﺎﺑﺎﺻﻹا<br />
ﺺﻴﺨﺸﺗ<br />
ﻰﻓ ﻪﻣاﺪﺨﺘﺳا ﻦﻜﻤﻳ ﻚﻟﺬﺑو ﺦﻤﻟا ﺎﻳﻼﺧ لﻼﺧ ءﺎﻤﻟا تﺎﺌﻳﺰﺟ رﺎﺸﺘﻧا ﻪﻧﺄﺑ رﺎﺸﺘﻧﻻا ﻒﻳﺮﻌﺗ ﻦﻜﻤﻳ<br />
ﻲﻓ رﻮﺼﻗ ﻦﻋ ﺔﺠﺗﺎﻨﻟا تﻻﺎﺤﻟا<br />
ﻲﻓ<br />
رﺎﺸﺘﻧﻻا ﻞﻣﺎﻌﻣ ﻞﻘﻳ ﺚﻴﺣ ﺦﻤﻟا ﻲﻓ ﺔﺘﻴﻤﻟا ﻪﺠﺴﻧﻷا ﺪﻳﺪﺤﺗ<br />
ﻢﺛ ﻦﻣو ﺔﺑﺎﺼﻤﻟا ﺎﻳﻼﺨﻟا ﻞﺧاد ءﺎﻤﻟا تﺎﺌﻳﺰﺟ ﺔﺒﺴﻧ دادﺰﺗ ﺚﻴﺣ ﻰﻌﻴﺒﻄﻟا ﻪﻟﺪﻌﻣ ﻦﻋ<br />
ﺔﻘﻳﺮﻄﺑ<br />
ﺎﻬﻓﺎﺸﺘآا ﻦﻜﻤﻳ اﺪﺟ<br />
و ﺔﻐﺒﺻ يأ ﻦﻘﺣ جﺎﺘﺤﺗ<br />
ﻻ<br />
ةﺮﻜﺒﻤﻟا تاﺮﻴﻐﺘﻟا ﻩﺬه<br />
ﺎﻬﻧأ<br />
ﻲﺑﺮﻌﻟا ﺺﺨﻠﻤﻟا<br />
ﺔﻘﻳﺮﻄﻟا ﻩﺬه<br />
ﺔﻴﺴﻴﻃﺎﻨﻐﻣ صاﻮﺧ ﺎﻬﻟ ةدﺎﻣ ﻊﺒﺘﺘﺑ ﻪﺑﺎﺴﺣ ﻢﺘﻳو ﺦﻤﻟا ﺎﻳﻼﺧ ﻰﻟإ<br />
ﺔﻳﻮﻣﺪﻟا ةروﺪﻟا<br />
. ﺎﻳﻼﺨﻟا دوﺪﺣ ﻞﺧاد ﺎهرﺎﺸﺘﻧا ﺪﻳﺪﺤﺗ ﻢﺘﻳ<br />
زﺎﺘﻤﺗو<br />
ﻰﺴﻴﻃﺎﻨﻐﻤﻟا ﻦﻴﻧﺮﻟا ماﺪﺨﺘﺳﺎﺑ رﺎﺸﺘﻧﻻا<br />
. ﺮﻴﺼﻗ ﺖﻗو قﺮﻐﺘﺴﺗ<br />
مﺪﻟا لﻮﺻو ﺎﻬﺑ ﺪﺼﻘﻴﻓ ﺔﻳوﺮﺘﻟا ﺎﻣأ<br />
ﻲﻧﺎﻌﻳ فﻮﺳ ﺔﻳﻮﻣﺪﻟا ةروﺪﻟا ﻲﻓ رﻮﺼﻗ ﻦﻣ ﻲﻧﺎﻌﻳ يﺬﻟا ءﺰﺠﻟا . ﺦﻤﻠﻟ ﺎﻬﻟﻮﺻو ءﺎﻨﺛأ<br />
. ﻪﻴﻟإ<br />
ﺔﻐﺒﺼﻟا ﻞﺜﻣ<br />
ﺔﻐﺒﺼﻟا لﻮﺻو ﺮﺧﺄﺗ وأ مﺪﻋ ﻦﻣ
- 2 -<br />
ﻲﺑﺮﻌﻟا ﺺﺨﻠﻤﻟا<br />
ﻢﺋاد ﻒﻠﺘﺑ ﺐﻴﺻأ يﺬﻟا ﺦﻤﻟا ﻦﻣ ءﺰﺠﻟا ﺔﻓﺮﻌﻣ ﻦﻜﻤﻳ ﺔﻳوﺮﺘﻟا رﻮﺻ ﻊﻣ رﺎﺸﺘﻧﻻا رﻮﺻ ﺔﻧرﺎﻘﻣ ﺪﻨﻋ<br />
ﺔﻠﺑﺎﻗ ﺖﻟاز ﺎﻣو ﻰﻧﺎﻳﺮﺸﻟا داﺪﺴﻧﻹﺎﺑ<br />
تﺮﺛﺄﺗ ﻰﺘﻟا ﺔﺠﺴﻧﻷا ﺪﻳﺪﺤﺗ ﻦﻜﻤﻳ ﻚﻟﺬآو<br />
جﻼﻌﻠﻟ ﻞﺑﺎﻗ ﺮﻴﻏ و<br />
. جﻼﻌﻠﻟ<br />
ﺔﺘﻜﺴﻟا ﺐﺒﺳ ﺺﻴﺨﺸﺗ ﻲﻓ ﺔﻴﻤهأ وذ ﻰﺴﻴﻃﺎﻨﻐﻤﻟا ﻦﻴﻧﺮﻟا ﺔﻄﺳاﻮﺑ ﺦﻤﻟا ﻦﻴﻳاﺮﺷ ﺮﻳﻮﺼﺗ ﺮﺒﺘﻌﻳ<br />
ﻲﻓ رﻮﺼﻗ ﻦﻋ ﺔﺠﺗﺎﻨﻟا تﻻﺎﺤﻟا ﻲﻓ ﻲﻧﺎﻳﺮﺸﻟا داﺪﺴﻧﻻا تﻻﺎﺣ ﻞﺜﻣ ﺔﻴﻠﺧﺪﺗ ﺮﻴﻏ ﺔﻘﺑﺮﻄﺑ ﺔﻴﻏﺎﻣﺪﻟا<br />
ﺔﺠﺴﻧأ ﻞﺧاد ﺔﻴﻀﻳﻷا داﻮﻤﻟا<br />
. ﻲﻧﺎﻳﺮﺸﻟا دﺪﻤﺘﻟا رﺎﺠﻔﻧا ﻦﻣ ﺞﺗﺎﻨﻟا ﻒﻳﺰﻨﻟا تﻻﺎﺣ و ﺔﻳﻮﻣﺪﻟا ةروﺪﻟا<br />
ﺔﻴﻤآ سﺎﻴﻗ ﻰﻠﻋ ﺪﻤﺘﻌﻴﻓ ﻲﻔﻴﻄﻟا ﻲﺴﻴﻃﺎﻨﻐﻤﻟا ﻦﻴﻧﺮﻟﺎﺑ ﺮﻳﻮﺼﺘﻟا<br />
ةروﺪﻟا ﻲﻓ رﻮﺼﻗ ﻦﻋ ﺔﺠﺗﺎﻨﻟا ﺔﻴﻏﺎﻣﺪﻟا ﺔﺘﻜﺴﻟا تﻻﺎﺤﻟ ﺮﻜﺒﻤﻟا ﺺﻴﺨﺸﺘﻟا<br />
ﻦﻣ ﻦﻜﻤﺘﻳ<br />
ﻚﻟﺬﺑ و ﺦﻤﻟا<br />
. ﻦﻴﺘﻋﻮﻤﺠﻣ<br />
ﻰﻟإ<br />
. ﺔﺑﺎﺼﻤﻟا ﺔﺠﺴﻧﻷا ﻲﻓ ﺔﻴﻀﻳﻷا داﻮﻤﻟا ﺔﻴﻤآ سﺎﻴﻗ<br />
ﻢﻬﻤﻴﺴﻘﺗ ﻢﺗ ﺔﻴﻏﺎﻣﺪﻟا ﺔﺘﻜﺴﻟا<br />
ﻦﻣ نﻮﻧﺎﻌﻳ ﺎﻀﻳﺮﻣ نﻮﺴﻤﺧ<br />
ﻲﻓ رﻮﺼﻗ ﻦﻋ ﺔﺠﺗﺎﻨﻟا ﺔﻴﻏﺎﻣﺪﻟا<br />
ﺔﺘﻜﺴﻟا ﻦﻣ نﻮﻧﺎﻌﻳ ﺎﻀﻳﺮﻣ<br />
ﺔﺠﺗﺎﻨﻟا ﺔﻴﻏﺎﻣﺪﻟا ﺔﺘﻜﺴﻟا ﻦﻣ نﻮﻧﺎﻌﻳ ﺎﻀﻳﺮﻣ<br />
11<br />
39<br />
ﺎﻣأ<br />
ﻖﻳﺮﻃ ﻦﻋ ﺔﻳﻮﻣﺪﻟا<br />
ﺔﻟﺎﺳﺮﻟا ﻩﺬه ﺖﻨﻤﻀﺗ<br />
ﻦﻣ نﻮﻜﺘﺗ ﻰﻟوﻷا ﺔﻋﻮﻤﺠﻤﻟا<br />
ﻦﻣ نﻮﻜﺘﺗ ﺔﻴﻧﺎﺜﻟا ﺔﻋﻮﻤﺠﻤﻟا ﺎﻣأ ﺔﻳﻮﻣﺪﻟا ةروﺪﻟا<br />
ﻦﻴﻧﺮﻟاو ﺔﻴﻌﻄﻘﻤﻟا ﺔﻌﺷﻷا ﺔﻴﺳﺎﺴﺣ ﺮﺜآأ ﻰﺴﻴﻃﺎﻨﻐﻤﻟا ﻦﻴﻧﺮﻟا ماﺪﺨﺘﺳﺎﺑ رﺎﺸﺘﻧﻻا<br />
.( ةﺮﻜﺒﻤﻟا ةدﺎﺤﻟا و ةدﺎﺤﻟا تﻻﺎﺤﻟا)<br />
تﻻﺎﺤﻠﻟ<br />
ﺮﻜﺒﻤﻟا ﺺﻴﺨﺸﺘﻟا<br />
ﻰﻌﻴﺒﻄﻟا ﻪﻟﺪﻌﻣ ﻦﻋ ﻪﻧﺎﺼﻘﻧ ﻢﺗ ﺚﻴﺣ ﺔﻄﻠﺠﻟا<br />
. ﺦﻤﻟﺎﺑ ﻒﻳﺰﻨﻟا ﻦﻋ<br />
نأ ﺎﻧﺪﺟو ﺪﻗو<br />
ﻲﻓ يﺪﻴﻠﻘﺘﻟا ﻰﺴﻴﻃﺎﻨﻐﻤﻟا<br />
ﻞﺣاﺮﻣ فﻼﺘﺧﺎﺑ رﺎﺸﺘﻧﻻا ﻞﻣﺎﻌﻣ ﺮﻴﻐﺗ ﺎﻨﻈﺣﻻ<br />
ﺪﻘﻟو<br />
. ﺔﻨﻣﺰﻤﻟا تﻻﺎﺤﻟا ﻲﻓ ﻪﺗدﺎﻳز ﻢﺗو ةﺮﺧﺄﺘﻤﻟا ةدﺎﺤﻟا و ةدﺎﺤﻟاو ةﺮﻜﺒﻤﻟا ةدﺎﺤﻟا تﻻﺎﺤﻟا ﻲﻓ<br />
ماﺪﺨﺘﺳﺎﺑ ﺔﻳوﺮﺘﻟا ﺺﺤﻔﻟ<br />
7<br />
ﻲﻓ<br />
( ﺾﻳﺮﻣ<br />
: ﻲﺗﻻا ﺪﺟوو<br />
17)<br />
ةﺮﻜﺒﻤﻟا ةدﺎﺤﻟا و ةدﺎﺤﻟا تﻻﺎﺤﻟا<br />
ﻢﻈﻌﻣ ﺖﻌﻀﺧ ﺪﻗو<br />
ﺔﻳوﺮﺘﻟا رﻮﺻ ﻊﻣ رﺎﺸﺘﻧﻻا رﻮﺻ ﺔﻧرﺎﻘﻣ ﻢﺗو ﻰﺴﻴﻃﺎﻨﻐﻤﻟا ﻦﻴﻧﺮﻟا<br />
رﺎﺸﺘﻧﻻا رﻮﺻ ﻲﻓ ﺎﻬﻤﺠﺣ ﻦﻣ ﺮﺒآأ ﺔﻳوﺮﺘﻟا رﻮﺻ ﻲﻓ ﺔﺑﺎﺻﻹا<br />
ﻢﺠﺣ ﺖﻧﺎآ<br />
ﺔﺠﺴﻧأ دﻮﺟو اﺬه ﻲﻨﻌﻳو ةﺮﻴﺒﻜﻟا ﻦﻴﻳاﺮﺸﻟا داﺪﺴﻧا ﺔﺠﻴﺘﻧ<br />
6<br />
ﺔﺑﺎﺻﻹا<br />
ﻚﻠﺗ ﺖﻧﺎآو تﻻﺎﺣ<br />
. جﻼﻌﻠﻟ ﺔﻠﺑﺎﻗ ﺖﻟاز ﺎﻣو ﻰﻧﺎﻳﺮﺸﻟا داﺪﺴﻧﻹﺎﺑ<br />
تﺮﺛﺄﺗ<br />
ﻲﻓ رﺎﺸﺘﻧﻻا رﻮﺻ ﻲﻓ ﺎﻬﻤﺠﺤﻟ ﺔﻠﺛﺎﻤﻣ ﺔﻳوﺮﺘﻟا رﻮﺻ ﻲﻓ<br />
ﺔﺑﺎﺻﻹا<br />
ﻢﺠﺣ ﺖﻧﺎآ<br />
دﻮﺟو مﺪﻋ اﺬه ﻲﻨﻌﻳو ةﺮﻴﻐﺼﻟا<br />
ﻦﻴﻳاﺮﺸﻟا داﺪﺴﻧا ﺔﺠﻴﺘﻧ ﺔﺑﺎﺻﻻا ﻚﻠﺗ ﺖﻧﺎآو تﻻﺎﺣ<br />
ﻲﻓ رﺎﺸﺘﻧﻻا<br />
رﻮﺻ ﻲﻓ ﺎﻬﻤﺠﺣ ﻦﻣ ﺮﻐﺻأ ﺔﻳوﺮﺘﻟا رﻮﺻ ﻲﻓ<br />
. جﻼﻌﻠﻟ ﺔﻠﺑﺎﻗ ﺔﺠﺴﻧأ<br />
ﺔﺑﺎﺻﻹا<br />
ﻢﺠﺣ ﺖﻧﺎآ<br />
رﻮﺻ ﻲﻓ ةدﻮﺟﻮﻣ ﺎﻬﻨﻜﻟو ﺔﻳوﺮﺘﻟا رﻮﺻ ﻲﻓ ةدﻮﺟﻮﻣ ﺮﻴﻏ ﺔﺑﺎﺻﻻا ﺖﻧﺎآ و ﻦﻴﺘﻟﺎﺣ
ةﺮﻴﻐﺼﻟا<br />
ﻦﻴﻳاﺮﺸﻟا داﺪﺴﻧا ﺔﺠﻴﺘﻧ تﺎﺑﺎﺻﻹا<br />
ﻚﻠﺗ ﺖﻧﺎآ ةﺪﺣاو ﺔﻟﺎﺣ ﻲﻓ رﺎﺸﺘﻧﻻا<br />
ﻦﻴﻧﺮﻟا ﺔﻄﺳاﻮﺑ ﺦﻤﻟا ﻦﻴﻳاﺮﺷ ﺮﻳﻮﺼﺘﻟ ( ﺔﻟﺎﺣ 37)<br />
ﻲﻓ ةدﻮﺟﻮﻣ ﻲﻧﺎﻳﺮﺸﻟا داﺪﺴﻧﻻا تﻻﺎﺣ ﻢﻈﻌﻣ نأ ﺎﻧﺪﺟوو<br />
- 3 -<br />
. ﺔﻳوﺮﺘﻟا ةدﺎﻋإ<br />
ثوﺪﺣو<br />
ﻲﺑﺮﻌﻟا ﺺﺨﻠﻤﻟا<br />
ﻰﻟوﻷا ﺔﻋﻮﻤﺠﻤﻟا تﻻﺎﺣ ﻢﻈﻌﻣ ﺖﻌﻀﺧ ﺪﻗو<br />
ﻦﻴﻳاﺮﺸﻟا داﺪﺴﻧا نﺎﻴﺒﻟ ﻰﺴﻴﻃﺎﻨﻐﻤﻟا<br />
ﺮﺜآأ ةﺮﻴﺒﻜﻟا ﻦﻴﻳاﺮﺸﻟا تﻻﺎﺣ ﻲﻓو ﺔﻨﻣﺰﻤﻟا تﻻﺎﺤﻟا ﻲﻓ ﺎﻬﻨﻣ ﺮﺜآأ ةدﺎﺤﻟاو ةﺮﻜﺒﻤﻟا ةدﺎﺤﻟا تﻻﺎﺤﻟا<br />
و ﻲﻔﻴﻄﻟا ﻲﺴﻴﻃﺎﻨﻐﻤﻟا ﻦﻴﻧﺮﻟﺎﺑ ﺮﻳﻮﺼﺘﻟا ( ﺔﻟﺎﺣ 34)<br />
و ةﺮﻜﺒﻤﻟا ةدﺎﺤﻟاو ةدﺎﺤﻟا تﻻﺎﺤﻟا ﻞآ<br />
ﻲﻓ ﺔﺑﺎﺻﻻا نﺎﻜﻣ ﻲﻓ<br />
. ةﺮﻴﻐﺼﻟا<br />
ﻦﻴﻳاﺮﺸﻟا تﻻﺎﺣ ﻲﻓ ﺎﻬﻨﻣ<br />
ﻰﻟوﻷا ﺔﻋﻮﻤﺠﻤﻟا تﻻﺎﺣ ﻢﻈﻌﻣ ﺖﻌﻀﺧ و<br />
ﻚﻴﺘآﻼﻟا ﺾﻤﺣ دﻮﺟو<br />
. ﻪﻴﻠﻋ يﻮﺘﺤﺗ ﻻ ﻰﺘﻟا ﺦﻤﻟا ﻦﻣ ﺔﻤﻴﻠﺴﻟا ءاﺰﺟﻷﺎﺑ ﺔﻧرﺎﻘﻣ ﺔﻨﻣﺰﻤﻟاو<br />
ةﺮﺧﺄﺘﻤﻟا<br />
ﺎﻨﻈﺣﻻ ﺪﻗ<br />
ةدﺎﺤﻟا تﻻﺎﺤﻟا ﻢﻈﻌﻣ<br />
ﻦﻴﺗﺎﻳﺮﻜﻟا ﺺﻘﻧ ﺎﻀﻳأ ﺎﻨﻈﺣﻻ و تﻻﺎﺤﻟا<br />
ﻞآ ﻲﻓ ﻪﻧﺎﺼﻘﻧ ﺎﻨﻈﺣﻻ ﺪﻘﻓ ﻚﻴﺗﺮﺒﺳﻷا ﺾﻤﺤﻟ ﺔﺒﺴﻨﻟﺎﺑ ﺎﻣأ<br />
ءاﺰﺟﻷﺎﺑ ﺔﻧرﺎﻘﻣ<br />
ﺔﺑﺎﺻﻹا<br />
نﺎﻜﻣ ﻲﻓ تﻻﺎﺤﻟا ﻦﻴﺑ ﻦﻴﻟﻮﻜﻟا ﺔﻴﻤآ ﻲﻓ فﻼﺘﺧﻻاو تﻻﺎﺤﻟا ﻢﻈﻌﻣ ﻲﻓ<br />
. ﺔﻤﻴﻠﺴﻟا<br />
ﺎﻀﻳﺮﻣ 11 ﻦﻣ نﻮﻜﺘﺗو ﺦﻤﻟﺎﺑ ﻒﻳﺰﻨﻟا ﻦﻋ ﺔﺠﺗﺎﻨﻟا ﺔﻴﻏﺎﻣﺪﻟا ﺔﺘﻜﺴﻟا : ﺔﻴﻧﺎﺜﻟا ﺔﻋﻮﻤﺠﻤﻠﻟ ﺔﺒﺴﻨﻟﺎﺑ ﺎﻣأ<br />
. تﺎﻋﻮﻤﺠﻣ<br />
ةﺪﻋ ﻰﻟإ<br />
ﻒﻳﺰﻨﻟا نﺎﻜﻣ ﺐﺴﺣ ﻢﻬﻤﻴﺴﻘﺗ ﻢﺗ<br />
ﻒﻳﺰﻨﻠﻟ داﺪﺘﻣا ﻪﺑ ﺪﺣاو ﺾﻳﺮﻣ ﻢﻬﻨﻣ ﺎﻀﻳﺮﻣ 8ﻰﻠﻋ<br />
يﻮﺘﺤﺗو ﺦﻤﻟا ﻞﺧاد ﻒﻳﺰﻨﻟا تﻻﺎﺣ<br />
. ﺦﻤﻟا ﻦﻴﻄﺑ ﻞﺧاد<br />
. ﺔﻴﺗﻮﺒﻜﻨﻌﻟا مﻷا ﺖﺤﺗ ﻒﻳﺰﻨﻟا ﻦﻣ نﻮﻧﺎﻌﻳ ﻦﻴﺘﻟﺎﺣ<br />
. ﺦﻤﻟا ﻦﻴﻄﺑ ﻞﺧاد ﻒﻳﺰﻨﻟا ﻦﻣ ﻲﻧﺎﻌﺗ ةﺪﺣاو ﺔﻟﺎﺣ<br />
ضﺮﻤﻟا ﺖﻴﻗﻮﺗ ﺐﺴﺣ ( ﻞﺣاﺮﻣ)<br />
عاﻮﻧأ ةﺪﻋ ﻰﻟإ<br />
ﻢﻬﻤﻴﺴﻘﺗ ﻢﺗ ﺪﻘﻓ ﺦﻤﻟا ﻞﺧاد ﻒﻳﺰﻨﻟا تﻻﺎﺤﻟ<br />
يﻮﺘﺤﺗو ( ﻒﻳﺰﻨﻟا ثوﺪﺣ ﺬﻨﻣ ﻰﻟوﻷا 24 لﻼﺧ)<br />
ﻰﻠﻋ يﻮﺘﺤﺗو<br />
( ﻒﻳﺰﻨﻟا<br />
ثوﺪﺣ ﺬﻨﻣ<br />
مﺎﻳأ<br />
3-2<br />
يﻮﺘﺤﺗو ( ﻒﻳﺰﻨﻟا<br />
ثوﺪﺣ ﺬﻨﻣ مﻮﻳ 14-3<br />
ﻦﻣ)<br />
ةﺮﻜﺒﻤﻟا ةدﺎﺤﻟا ﺦﻤﻟا ﻞﺧاد ﻒﻳﺰﻨﻟا تﻻﺎﺣ<br />
ﻦﻣ)<br />
. ﻦﻴﻀﻳﺮﻣ<br />
ﻰﻠﻋ<br />
ةدﺎﺤﻟا ﺦﻤﻟا ﻞﺧاد ﻒﻳﺰﻨﻟا تﻻﺎﺣ<br />
. ﻦﻴﻀﻳﺮﻣ<br />
ةﺮﺧﺄﺘﻤﻟا ةدﺎﺤﻟا ﺦﻤﻟا ﻞﺧاد ﻒﻳﺰﻨﻟا تﻻﺎﺣ<br />
.<br />
ﻰﺿﺮﻣ<br />
3 ﻰﻠﻋ<br />
<br />
<br />
<br />
ﺔﺒﺴﻨﻟﺎﺑ<br />
: ﻞﻤﺸﺗو
ﻰﻠﻋ يﻮﺘﺤﺗو<br />
( ﻒﻳﺰﻨﻟا<br />
ثوﺪﺣ ﺬﻨﻣ ﻦﻴﻋﻮﺒﺳا ﻦﻣ ﺮﺜآأ)<br />
- 4 -<br />
ﺔﻨﻣﺰﻤﻟا ﺦﻤﻟا ﻞﺧاد ﻒﻳﺰﻨﻟا<br />
. ﺪﺣاو ﺾﻳﺮﻣ<br />
ﻲﺑﺮﻌﻟا ﺺﺨﻠﻤﻟا<br />
ﺐﻴآﺮﺗو ﻒﻳﺰﻨﻟا ﺔﻠﺣﺮﻣ فﻼﺘﺧﺎﺑ يﺪﻴﻠﻘﺘﻟا ﻲﺴﻴﻃﺎﻨﻐﻤﻟا ﻦﻴﻧﺮﻟا رﻮﺻ ﻲﻓ ﻒﻳﺰﻨﻟا ﺮﻬﻈﻣ ﻒﻠﺘﺨﻳو<br />
ةﺮﻜﺒﻤﻟا ةدﺎﺤﻟا<br />
تﻻﺎﺤﻟا<br />
ةدﺎﺤﻟا تﻻﺎﺤﻟا ﺾﻌﺑو<br />
ﻲﻓ ﻞﻘﻳ<br />
ﺔﻨﻣﺰﻤﻟا تﻻﺎﺤﻟا<br />
ﻪﻧأ ﺎﻧﺪﺟو ﺚﻴﺣ رﺎﺸﺘﻧﻻا ﻞﻣﺎﻌﻣ ﺎﻀﻳأ ﻒﻠﺘﺨﻳو<br />
ﻲﻓ<br />
ﺪﻳﺰﻳو<br />
ﺎﻧﺪﺟوو ﻰﺴﻴﻃﺎﻨﻐﻤﻟا ﻦﻴﻧﺮﻟا ﺔﻄﺳاﻮﺑ ﺦﻤﻟا ﻦﻴﻳاﺮﺷ ﺮﻳﻮﺼﺘﻟ<br />
<br />
ﻦﻴﺑﻮﻠﺟﻮﻤﻴﻬﻟا<br />
ةﺮﺧﺄﺘﻤﻟا ةدﺎﺤﻟا تﻻﺎﺤﻟا ﺾﻌﺑو ةدﺎﺤﻟاو<br />
ﻒﻳﺰﻨﻟا<br />
. ةﺮﺧﺄﺘﻤﻟا<br />
تﻻﺎﺣ ﻞآ ﺖﻌﻀﺧ ﺪﻗو<br />
ﻦﻴﺘﻟﺎﺣ ﻲﻓ ﻦﻴﻳاﺮﺸﻟا<br />
ﻲﻓ ﻖﻴﺿو ﺦﻤﻟا ﻞﺧاد ﻒﻳﺰﻨﻟا تﻻﺎﺣ ﻦﻣ ةﺪﺣاو ﺔﻟﺎﺣ ﻲﻓ ﻦﻴﻳاﺮﺸﻟا ﻲﻓ داﺪﺴﻧا<br />
دﺪﻤﺗو<br />
ﺔﻴﺗﻮﺒﻜﻨﻌﻟا مﻷا ﺖﺤﺗ<br />
ﻒﻳﺰﻨﻟا تﻻﺎﺣ ﻦﻣ ةﺪﺣاو ﺔﻟﺎﺣ و<br />
. ﺔﻴﺗﻮﺒﻜﻨﻌﻟا مﻷا ﺖﺤﺗ<br />
ﺦﻤﻟا ﻞﺧاد ﻒﻳﺰﻨﻟا تﻻﺎﺣ ﻦﻣ<br />
ﻒﻳﺰﻨﻟا تﻻﺎﺣ ﻦﻣ ةﺪﺣاو ﺔﻟﺎﺣ ﻲﻓ ﻲﻧﺎﻳﺮﺷ<br />
: ﻲﺗﻻا ﺎﻨﺼﻠﺨﺘﺳا<br />
لﻼﺧ<br />
ﺔﻴﻏﺎﻣﺪﻟا ﺔﺘﻜﺴﻟا تﻻﺎﺣ ﺺﻴﺨﺸﺗ ﻲﻓ ﺮﻴﺒآ رود ﻪﻟ ﻰﺴﻴﻃﺎﻨﻐﻤﻟا ﻦﻴﻧﺮﻟا ماﺪﺨﺘﺳﺎﺑ رﺎﺸﺘﻧﻻا نإ<br />
ﺔﻗﺮﻔﺘﻟاو ﻪﻘﻴﻗﺪﻟا ثﺎﺑﺎﺻﻹا<br />
ﺺﻴﺨﺸﺗ ﻲﻠﻋ ﻪﺗرﺪﻗ ﻲﻟا ﻪﻓﺎﺿﻻﺎﺑ ﻪﺑﺎﺻﻹا<br />
ﻦﻣ ﻰﻟوﻷا تﺎﻋﺎﺳ ﺖﺴﻟا<br />
ﻦﻣ ﺎﻨﻜﻤﺘﻓ ﻰﺴﻴﻃﺎﻨﻐﻤﻟا ﻦﻴﻧﺮﻟا ماﺪﺨﺘﺳﺎﺑ ﺔﻳوﺮﺘﻟا ﺎﻣأ ﺔﻨﻣﺰﻤﻟاو ﻩدﺎﺤﻟا ﺔﻴﻏﺎﻣﺪﻟا ﺔﺘﻜﺴﻟا تﻻﺎﺣ ﻦﻴﺑ<br />
ﻦﻴﻳاﺮﺷ ﺮﻳﻮﺼﺗ<br />
مﺪﺨﺘﺴﻳو جﻼﻌﻠﻟ ﺔﻠﺑﺎﻗ ﺖﻟاز ﺎﻣو ﻰﻧﺎﻳﺮﺸﻟا داﺪﺴﻧﻹﺎﺑ<br />
تﺮﺛﺄﺗ ﻰﺘﻟا ﺔﺠﺴﻧﻷا ﺔﻓﺮﻌﻣ<br />
ﻲﺴﻴﻃﺎﻨﻐﻤﻟا ﻦﻴﻧﺮﻟﺎﺑ ﺮﻳﻮﺼﺘﻟا ﺎﻣأ<br />
ﺪﻗو<br />
ﻦﻴﻳاﺮﺸﻟا داﺪﺴﻧا نﺎﻴﺑ ﻲﻓ ﻰﺴﻴﻃﺎﻨﻐﻤﻟا ﻦﻴﻧﺮﻟا ﺔﻄﺳاﻮﺑ ﺦﻤﻟا<br />
ﻲﻓ رﻮﺼﻗ ﻦﻋ ﺔﺠﺗﺎﻨﻟا ﺔﻴﻏﺎﻣﺪﻟا ﺔﺘﻜﺴﻟا تﻻﺎﺣ ﻲﻓ ﺔﻴﻀﻳﻻا داﻮﻤﻟا ﻲﻓ تﺎﻓﻼﺘﺧﻻا ﺮﻬﻈﻴﻓ ﻲﻔﻴﻄﻟا<br />
. ﺔﻳﻮﻣﺪﻟا ةروﺪﻟا<br />
ﺔﻠﺣﺮﻣ فﻼﺘﺧﺎﺑ رﺎﺸﺘﻧﻻا ﻞﻣﺎﻌﻣو<br />
يﺪﻴﻠﻘﺘﻟا ﻲﺴﻴﻃﺎﻨﻐﻤﻟا ﻦﻴﻧﺮﻟا رﻮﺻ ﻲﻓ ﻒﻳﺰﻨﻟا ﺮﻬﻈﻣ ﻒﻠﺘﺨﻳو<br />
.<br />
ﻦﻴﺑﻮﻠﺟﻮﻤﻴﻬﻟا ﺐﻴآﺮﺗو ﻒﻳﺰﻨﻟا
- 5 -<br />
ﻲﺑﺮﻌﻟا ﺺﺨﻠﻤﻟا
ﻲﺴﻴﻃﺎﻨﻐﻤﻟا ﻦﻴﻧﺮﻟا ﻦﻣ ﺔﻔﻠﺘﺨﻣ<br />
ﻖﻳزﺎﻗﺰﻟا ﺔﻌﻣﺎﺟ<br />
ﺐﻄﻟا ﺔﻴﻠآ<br />
ﺔﻴﺼﻴﺨﺸﺘﻟا ﺔﻌﺷﻷا ﻢﺴﻗ<br />
تﺎﻴﻨﻘﺘﺑ<br />
ﺔﻴﻏﺎﻣﺪﻟا ﺔﺘﻜﺴﻟا ﺮﻳﻮﺼﺗ<br />
ﻦﻣ ﺔﻣﺪﻘﻣ ﺔﻟﺎﺳر<br />
ﺔﺒﻴﺒﻄﻟا<br />
يﺮﻳﺮﺤﻟا ﺪﻤﺤﻣ ﺪﻤﺤﻣ رﺎﻔﻐﻟا ﺪﺒﻋ ﻰﻨﻣ<br />
ﺔﻴﺼﻴﺨﺸﺘﻟا ﺔﻌﺷﻷا ﺪﻋﺎﺴﻣ سرﺪﻣ<br />
ﻖﻳزﺎﻗﺰﻟا ﺔﻌﻣﺎﺟ-ﺐﻄﻟا<br />
ﺔﻴﻠآ<br />
ﺔﻴﺼﻴﺨﺸﺘﻟا ﺔﻌﺷﻷا ﻲﻓ ﻩارﻮﺘآﺪﻟا ﺔﺟرد ﻰﻠﻋ لﻮﺼﺤﻠﻟ ﺔﺌﻃﻮﺗ<br />
يوﺎﻄﻨــﻃ<br />
فاﺮﺷإ ﺖﺤﺗ<br />
ﺪــﻤــﺣأ<br />
ﻲــﺤــﺘـــﻓ<br />
ﺔﻴﺼﻴﺨﺸﺘﻟا ﺔﻌﺷﻷا ذﺎﺘﺳأ<br />
ﺐﻄﻟا ﺔﻴﻠآ<br />
ﻖﻳزﺎﻗﺰﻟا ﺔﻌﻣﺎﺟ<br />
ﺔـﻔـﻴـﻠـﺧ<br />
ﻞـــﻴــﺒــﻧ<br />
ﺎـــﻴــــﻟاد<br />
ﺔﻴﺼﻴﺨﺸﺘﻟا ﺔﻌﺷﻷا ذﺎﺘﺳأ<br />
ﺐﻄﻟا ﺔﻴﻠآ<br />
ﻖﻳزﺎﻗﺰﻟا ﺔﻌﻣﺎﺟ<br />
سوراﺪﻴﻋ ﺪﻴﻤﺤﻟاﺪﺒﻋ يﺪﺠﻣ<br />
بﺎﺼﻋﻷا و ﺦﻤﻟا ضاﺮﻣأ ﺪﻋﺎﺴﻣ ذﺎﺘﺳأ<br />
ﺐﻄﻟا ﺔﻴﻠآ<br />
ﻖﻳزﺎﻗﺰﻟا ﺔﻌﻣﺎﺟ<br />
ﻖﻳزﺎﻗﺰﻟا ﺔﻌﻣﺎﺟ – ﺐﻄﻟا ﺔﻴﻠآ<br />
2009<br />
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/<br />
د<br />
د.<br />
أ<br />
. أ<br />
د.<br />
أ