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 />
information (e.g., rates <strong>of</strong> bone restructuring); considerations <strong>of</strong> mass balance;<br />
predictions <strong>of</strong> theoretical models based on fundamental physical, chemical, and<br />
mathematical principles (e.g., a theoretical model <strong>of</strong> deposition <strong>of</strong> inhaled particles in<br />
the different segments <strong>of</strong> the lung); experimental data derived with anatomically<br />
realistic physical models (e.g., hollow casts <strong>of</strong> portions <strong>of</strong> the respiratory tract used to<br />
measure deposition <strong>of</strong> inhaled particles); and in vitro data (e.g., dissolution <strong>of</strong><br />
compounds in simulated lung fluid). Among these supplemental sources <strong>of</strong><br />
information, mass balance and quantitative physiological data (P) have particularly<br />
wide use.<br />
Sources <strong>of</strong> uncertainty in applications <strong>of</strong> human data<br />
(376) It is desirable to base a biokinetic model for an element on observations <strong>of</strong> the<br />
time-dependent distribution and excretion <strong>of</strong> that element in human subjects (H1<br />
data). Some degree <strong>of</strong> this type <strong>of</strong> direct information is available for most essential<br />
elements, as well as for some important non-essential elements, such as caesium, lead,<br />
radium, uranium, americium, and plutonium. Depending on the degree <strong>of</strong> biological<br />
realism in the model formulation, it may be possible to supplement element-specific<br />
information for human subjects with quantitative physiological information for<br />
humans on the important processes controlling the biokinetics <strong>of</strong> the element <strong>of</strong><br />
interest. For example, in <strong>ICRP</strong> Publications 67 (1993), 69 (1995a), and 71 (1995b),<br />
long-term removal <strong>of</strong> certain radionuclides from bone volume is identified with bone<br />
turnover.<br />
(377) Although it is the preferred type <strong>of</strong> information for purposes <strong>of</strong> model<br />
construction, H1 data <strong>of</strong>ten have one or more <strong>of</strong> the following limitations: small study<br />
groups, coupled with potentially large inter-subject variability in the biokinetics <strong>of</strong> an<br />
element; short observation periods, coupled with potentially large intra-subject<br />
variability; use <strong>of</strong> unhealthy subjects whose diseases may alter the biokinetics <strong>of</strong> the<br />
element; paucity <strong>of</strong> observations for women and children; collection <strong>of</strong> small,<br />
potentially non-representative samples <strong>of</strong> tissue; inaccuracies in measurement<br />
techniques; uncertainty in the pattern or level <strong>of</strong> intake <strong>of</strong> the element; atypical study<br />
conditions; and inconsistency in reported values. In some cases, inconsistency in<br />
reported values may provide some <strong>of</strong> the best evidence <strong>of</strong> the uncertain nature <strong>of</strong> the<br />
data.<br />
(378) An important tool in the development <strong>of</strong> biokinetic models for radionuclides<br />
has been the use <strong>of</strong> reference organ contents <strong>of</strong> stable elements, as estimated from<br />
autopsy measurements on subjects chronically exposed at environmental levels or at<br />
elevated levels encountered in occupational exposures (<strong>ICRP</strong>, 1975). Such data are<br />
commonly used to adjust parameter values <strong>of</strong> biokinetic models or introduce new<br />
model components to achieve balance between reported values <strong>of</strong> intake, total-body<br />
content, and excretion <strong>of</strong> stable elements. Such balance considerations can provide<br />
useful constraints on model parameters, provided the data have been collected under<br />
carefully controlled conditions. However, such balance considerations <strong>of</strong>ten have<br />
been based on data from disparate sources <strong>of</strong> information and unreliable measurement<br />
techniques and in some cases may have led to erroneous models or parameter values.<br />
(379) A confidence statement based on H1 data would reflect a variety <strong>of</strong> factors,<br />
such as the reliability <strong>of</strong> the measurement technique(s), the number and state <strong>of</strong> health<br />
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