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<strong>Kevin</strong> <strong>King</strong> <strong>MD</strong><br />

<strong>UT</strong> <strong>Southwestern</strong> <strong>Medical</strong> <strong>Center</strong><br />

<strong>Division</strong> <strong>of</strong> Neuroradiology<br />

NIH CTSA Clinical Scholar


Normal Impairment<br />

WMH


White Matter Hyperintensities are biomarkers <strong>of</strong><br />

preventable cerebral microvascular disease & predict risk<br />

for cognitive and motor impairment, stroke and death<br />

Debette S, Markus HS. The clinical importance <strong>of</strong> white matter hyperintensities on brain magnetic resonance<br />

imaging: Systematic review and meta-analysis. BMJ. 2010.341:c3666


Vascular pathology is likely involved in a majority <strong>of</strong><br />

clinically significant cases <strong>of</strong> dementia, lowering the<br />

threshold for development <strong>of</strong> Alzheimers Dementia<br />

Black, S., F. Gao, and J. Bilbao, Understanding white matter disease: imaging-pathological correlations in vascular<br />

cognitive impairment. Stroke, 2009. 40(3 Suppl): p. S48-52.


Normal Impairment


Without an accepted grading system, the near ubiquity <strong>of</strong><br />

WMH in older populations causes the finding to be<br />

ignored by most clinicians and is a source <strong>of</strong> unnecessary<br />

concern for many patients.


Fazekas<br />

An Ideal Clinical Screening Scale:<br />

Benefits:<br />

Simple: Easy to incorporate into practise<br />

Predictive <strong>of</strong> clinical outcomes<br />

Areas <strong>of</strong> concern:<br />

Rating <strong>of</strong> Deep vs. Periventricular<br />

Reproducibility


Original Fazekas WMH Scale<br />

Grade Descriptor Deep WMH Periventricular WMH<br />

0 Absent None None<br />

1 Mild Punctate Pencil Thin Lining<br />

2 Moderate Near Confluent Smooth Halo<br />

3 Severe Confluent Irregular band extending<br />

into the deep white matter<br />

Fazekas F, et al. MR signal abnormalities at 1.5 t in alzheimer's dementia and normal aging. Am. J. Roentgenol.<br />

1987;149:351-356


Fazekas outcome correlations<br />

equivalento to volumetry and<br />

more complex scales<br />

Scale Gait (SPPB) Cognition (MMSE)<br />

Fazekas- Gouw* -0.19 -0.13<br />

Scheltens -0.21 -0.13<br />

Volumetry -0.22 -0.10<br />

* included objective measurement criteria:<br />

mild 2cm.<br />

Gouw AA, et al. LADIS Study Group. Simple versus complex assessment <strong>of</strong> white matter hyperintensities in relation<br />

to physical performance and cognition: the LADIS study. J Neurol. 2006 Sep;253(9):1189-96. Sep 22.


Research insights on rating<br />

Periventricular Vs. Deep


Irregular Periventricular WMH<br />

demonstrated = pathologic changes<br />

as Severe Deep WMH<br />

Fazekas, et al. revision<br />

Grade Descriptor Deep WMH Periventricular WMH<br />

0 Absent Absent Absent<br />

1 Mild Punctate Pencil Thin Lining<br />

2 Moderate Near Confluent Smooth Halo<br />

3 Severe Confluent DWMH equivalent to Irregular PVWMH<br />

Fazekas F, et al. Pathologic correlates <strong>of</strong> incidental mri white matter signal hyperintensities. Neurology. 1993;43:1683-<br />

1689.


Periventricular & Deep WMH<br />

3D analysis by De Carli et al suggested identification <strong>of</strong><br />

periventricular vs. deep in 2D axial images is arbitrary-<br />

on sagittal and coronal ‘deep’ lesions <strong>of</strong>ten contact the<br />

ventricle<br />

C. DeCarli, et al. Anatomical Mapping <strong>of</strong> White Matter Hyperintensities (WMH): Exploring the Relationships<br />

Between Periventricular WMH, Deep WMH, and Total WMH Burden. Stroke, January 1, 2005; 36(1): 50 - 55.


Periventricular & Deep WMH<br />

Spatial analysis failed to identify distinct<br />

populations with Deep versus Periventricular<br />

disease.<br />

PVWMH and DWMH correlate highly with each<br />

other and with total WMH burden<br />

C. DeCarli, et al. Anatomical Mapping <strong>of</strong> White Matter Hyperintensities (WMH): Exploring the Relationships<br />

Between Periventricular WMH, Deep WMH, and Total WMH Burden. Stroke, January 1, 2005; 36(1): 50 - 55.


Questioned Reproducibility<br />

Inter-rater reliability for Fazekas<br />

Variable among studies ranging from poor to excellent,<br />

kappa <strong>of</strong> .43 to .78<br />

May be higher in studies with more advanced WMH due<br />

to a ceiling effect<br />

? Increased by objective criteria such as in Gouw: not<br />

assessed for inter-rater reliability<br />

Scheltens, P., et al., White matter changes on CT and MRI: an overview <strong>of</strong> visual rating scales. European<br />

Task Force on Age-Related White Matter Changes. Eur Neurol, 1998. 39(2): p. 80-9.


Gouw Modification <strong>of</strong> Fazekas<br />

Gouw et al. revision<br />

Grade Descriptor Deep WMH Periventricular WMH<br />

0 Absent Absent Not explicitly described.<br />

1 Mild Single lesions < 10mm<br />

Grouped ≤ 20mm<br />

2 Moderate Single lesions 10-20mm<br />

Grouped >20mm<br />

3 Severe Single/ Confluent lesions<br />

>20mm<br />

Gouw AA, et al. Simple versus complex assessment <strong>of</strong> white matter hyperintensities in relation to physical<br />

performance and cognition: The ladis study. J Neurol. 2006;253:1189-1196


Proposed Clinical Scale<br />

Grade Descriptor Deep WMH Periventricular WMH*<br />

0 Absent All foci


Evaluation <strong>of</strong> New Method<br />

Subset <strong>of</strong> the Dallas Heart Study,<br />

a multi-ethnic community based study<br />

Age 50.7+9.7<br />

Hispanic 15%<br />

NonHisp Black 44%<br />

NonHisp<br />

White 38%<br />

Other Race 2%<br />

Female 52%


3T Images,<br />

Achieva Philips <strong>Medical</strong> Systems<br />

FLAIR<br />

3D MP RAGE


Initial Evaluation<br />

Test set <strong>of</strong> 52 studies demonstrating a range <strong>of</strong> WMH<br />

volumes independently read by two reviewers<br />

Evaluation <strong>of</strong> discordant reads demonstrated poor<br />

agreement in categorization <strong>of</strong> small hyperintense foci<br />


Revision<br />

Established 3mm size threshold, reviewed 40 random<br />

studies<br />

Agreement for grading <strong>of</strong> no versus mild disease was<br />

72.4% (kappa 0.44 SE 0.17) without the threshold<br />

compared with 89.2% with the rule (kappa 0.76 SE 0.11)<br />

with p= 0.055.


Overall Reproducibility<br />

For initial test group enriched for large WMH volumes<br />

Agreement <strong>of</strong> 67% (kappa=0.71) n=52<br />

For random community sample with overall small<br />

WMH volumes (with 3mm threshold)<br />

Agreement <strong>of</strong> 87.5% (kappa = 0.76) n=40


Comparison with WMH Volumes<br />

WMH scores from 559 participants showed<br />

significant correlation with automated<br />

volumes (spearman rho 0.57, p


Conclusion<br />

We report the development <strong>of</strong> a visual WMH scoring<br />

system suited for use in clinical practice.<br />

Grade<br />

0<br />

Descriptor<br />

Absent<br />

Deep WMH<br />

All foci


DHS Brain Study Group<br />

Ronald M. Peshock <strong>MD</strong> 1,2<br />

Keith M. Hulsey MS 1<br />

Lea Alhilali <strong>MD</strong> 3<br />

Roderick W. McColl PhD 1<br />

Myron Weiner 4<br />

Anthony R. Whittemore <strong>MD</strong> PhD 1<br />

Departments <strong>of</strong> 1 Radiology, 2 Internal Medicine, and 4 Neurology<br />

The University <strong>of</strong> Texas <strong>Southwestern</strong> <strong>Medical</strong> <strong>Center</strong><br />

Department <strong>of</strong> 3 Radiology<br />

University <strong>of</strong> Pittsburgh <strong>Medical</strong> <strong>Center</strong>


Regular progression <strong>of</strong> WMH<br />

Magnetic resonance abnormalities and cardiovascular disease in older adults. The Cardiovascular Health Study.<br />

Manolio TA, Bryan RN, et al. Stroke. 1994 Feb;25(2):318-27.


Age Related White Matter Changes<br />

Score: A variant <strong>of</strong> Fazekas<br />

Grade Descriptor<br />

0 No lesions (including symmetrical, well-defined caps or bands)<br />

1 Focal lesions, ≥5 mm<br />

2 Beginning confluence <strong>of</strong> lesions<br />

3 Diffuse involvement <strong>of</strong> the entire region<br />

• Frontal, Parieto-Occipital, Temporal, Infratentorial & Basal Ganglia scored<br />

separately for each hemisphere<br />

• Periventricular and Deep scored Jointly<br />

ARWMC Scale: A new rating scale for age-related white matter changes applicable to MRI and CT. Stroke<br />

2001;32:1318–1322. Wahlund LO, Barkh<strong>of</strong> F, Fazekas F, Scheltens P. et al on behalf <strong>of</strong> the European Task Force on Age-<br />

Related White Matter Changes


Fazekas has good correlation with<br />

WMH volumetry<br />

Scale<br />

Agreement with<br />

Volumetry<br />

(Kendall W)<br />

Fazekas- Schmidt* 0.57<br />

Scheltens 0.48<br />

Manolio 0.37<br />

* included category for number <strong>of</strong> lesions with 0 for no lesions, 1 for 1 to 4<br />

lesions, 2 for 5 to 9 lesions, and 3 for >9 lesions.<br />

Kapeller Pet al. Visual rating <strong>of</strong> age-related white matter changes on magnetic resonance imaging: scale comparison,<br />

interrater agreement, and correlations with quantitative measurements. Stroke. 2003 Feb;34(2):441-5.


Among the Many Systems developed:<br />

Which to choose?<br />

Mäntylä R, et al.Variable agreement between visual rating scales for white matter hyperintensities on MRI. Stroke.<br />

1997 Aug;28(8):1614-23.

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