Occupational Intakes of Radionuclides Part 1 - ICRP
Occupational Intakes of Radionuclides Part 1 - ICRP
Occupational Intakes of Radionuclides Part 1 - ICRP
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DRAFT REPORT FOR CONSULTATION<br />
behaviour either is similar or differs in a predictable fashion. In view <strong>of</strong><br />
counterexamples to the premise that chemically similar elements are necessarily<br />
physiologically similar, the chemical analogy does not provide high confidence if the<br />
elements in question have not been compared in animals or man.<br />
(390) If a chemical analogue has been shown to be a good physiological analogue,<br />
then application <strong>of</strong> human data on the chemical analogue (H2 data) may be preferable<br />
to application <strong>of</strong> animal data on the element <strong>of</strong> interest (A1 data). For example, for<br />
purposes <strong>of</strong> constructing or evaluating a biokinetic model for americium in humans,<br />
use <strong>of</strong> quantitative human data on the physiological analogue curium seems preferable<br />
to use <strong>of</strong> the best quantitative animal data on americium. Similar statements can be<br />
made for radium and barium, rubidium and potassium, or other pairs <strong>of</strong> close<br />
physiological analogues. On the other hand, if two chemically similar elements show<br />
only broad physiological similarities, the animal analogy may be preferred to the<br />
chemical analogy, particularly if element-specific data are available for a variety <strong>of</strong><br />
animal species (as is the case, for example, for uranium and calcium). In general,<br />
lower confidence would be placed in animal data for a chemical analogue than in<br />
animal data for the element <strong>of</strong> interest.<br />
Uncertainty in central estimates stemming from variability in the population<br />
(391) ‘Uncertainty’ refers here to lack <strong>of</strong> knowledge <strong>of</strong> a central value for a<br />
population, and ‘variability’ refers to quantitative differences between different<br />
members <strong>of</strong> a population. Although uncertainty and variability are distinct concepts,<br />
the variability in biokinetic characteristics within a population is <strong>of</strong>ten an important<br />
factor contributing to the uncertainty in a central estimate <strong>of</strong> a biokinetic quantity.<br />
This is because such variability complicates the problem <strong>of</strong> identifying the central<br />
tendency <strong>of</strong> these characteristics in the population due to the small number <strong>of</strong><br />
observations generally available and the fact that subjects usually are not randomly<br />
selected.<br />
(392) Variability in the biokinetics <strong>of</strong> radionuclides, pharmaceuticals, or chemicals<br />
in human populations appears to result from many different physiological factors or<br />
modulating host factors <strong>of</strong> an environmental nature, including age, sex, pregnancy,<br />
lactation, exercise, disease, stress, smoking, and diet. Large inter-individual biokinetic<br />
variations sometimes persist in the absence <strong>of</strong> appreciable environmental differences<br />
and suggest that these variations may be genetically controlled. In real-world<br />
situations, genetic and environmental factors may interact dynamically, producing<br />
sizable variations in the behaviour <strong>of</strong> substances taken into the human body.<br />
6.5.4 Uncertainties in Dosimetric Models<br />
(393) Dosimetric models are used to estimate the mean absorbed dose resulting<br />
from radiations emitted by nuclear transformations <strong>of</strong> radionuclides present in the<br />
body. The absorbed dose is computed for target regions (organs, tissues, or regions <strong>of</strong><br />
tissues) considered to be radiosensitive. Radiation and tissue weighting factors are<br />
applied to the mean absorbed dose to determine the equivalent and effective dose. The<br />
weighting factors are assigned reference values and as such are not regarded as<br />
uncertain quantities. Thus, the uncertainties associated with an estimated equivalent<br />
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