4.5 Article

MPS dose reconstruction for internal emitters: some site-specific issues and approaches

期刊

INTERNATIONAL JOURNAL OF RADIATION BIOLOGY
卷 98, 期 4, 页码 631-643

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/09553002.2018.1558302

关键词

Dose reconstruction; uranium; plutonium; polonium

资金

  1. UT-Battelle, LLC [DE-AC05-00OR22725]
  2. U.S. Department of Energy
  3. Centers for Disease Control and Prevention (CDC) Office of Noncommunicable Diseases, Injury and Environmental Health, National Center for Environmental Health [DE-AC05-00OR22725, 2220-Z051-16]
  4. UT-Battelle [5NUE1EH001315]
  5. National Council on Radiation Protection and Measurements (NCRP)
  6. U.S. Department of Energy under WAS [2018-AU-2000MPS]
  7. NCRP from the U.S. Department of Energy [DE-AU0000042]
  8. National Aeronautics and Space Administration [80NSSC17M0016]
  9. US National Council on Radiation Protection and Measurements

向作者/读者索取更多资源

This article discusses the challenges and approaches in dose reconstructions for internal emitters in selected facilities as part of the Million Person Study (MPS). The study found that the potential errors in reconstructed tissue doses vary at different sites, with major sources of error including identification of internal emitters, intake patterns, reliability of bioassay measurements, use of coworker information, and the relation between air monitoring data and actual intake. The article provides important recommendations for improving dose reconstruction efforts, such as the development of best feasible exposure scenarios and the careful use of coworker data.
Background As part of the Million Person Study (MPS), dose reconstructions for internal emitters have been performed for several U.S. facilities where large quantities of radionuclides were handled. The main challenges and dominant sources of potential error in retrospective dose estimates for internally exposed workers have been found to vary from site to site. This article discusses some important issues encountered in dose reconstructions performed for selected MPS sites and the approaches used to address those issues. The focus is on some foundational components of retrospective dose assessments that have received little attention in the literature. Methods The discussion is built around illustrative exposure data and dose reconstructions for workers at selected facilities addressed in the MPS. Related findings at some non-MPS sites are also discussed. Results Each of the following items has been found to be a major source of potential error in reconstructed tissue doses for some MPS sites: identification of all dosimetrically important internal emitters; the time pattern of intake; the mode(s) of intake; reliability of bioassay measurements; application of surrogate (coworker) information in lieu of, or in conjunction with, worker-specific monitoring data; the chemical and physical forms of inhaled radionuclides; and the relation of air monitoring data to actual intake. Conclusions (1) Much of the dose reconstruction effort for internal emitters should be devoted to development of best feasible exposure scenarios. (2) Coworker data should be used to assign exposure scenarios or dose estimates to workers with missing exposure data only if there is compelling evidence of similar coworker exposure. (3) Bioassay data for some radionuclides and periods of operation at MPS sites are of questionable reliability due to sizable uncertainties associated with contamination, recovery, or background issues. (4) Dose estimates derived solely from air monitoring data should be treated as highly uncertain values in the absence of site-specific information demonstrating that the data are reasonably predictive of intake. (5) For intakes known or assumed to be via inhalation, the uncertainty in lung dose typically is much greater than the uncertainty in dose to systemic tissues, when dose estimates are based on urinary excretion data. (6) The lung dose estimate often can be improved through development of site-specific respiratory absorption parameter values. (7) There is generally insufficient site-specific information to justify development of site-specific systemic models.

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