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集体剂量测量以区分生物监测测量中职业性天然铀暴露与饮食性铀背景。

Collective dosimetry to distinguish occupational exposure to natural uranium from alimentary uranium background in bioassay measurements.

机构信息

IRSN, Laboratoire d'Evaluation de la Dose Interne, IRSN/PRP-HOM/SDI/LEDI , BP 17, 92262 Fontenay-aux-Roses Cedex , France.

出版信息

Int J Radiat Biol. 2014 Nov;90(11):1048-54. doi: 10.3109/09553002.2014.925149. Epub 2014 Aug 11.

Abstract

PURPOSE

To assess occupational exposure from uranium bioassay results which are low and impacted by dietary intakes.

MATERIAL AND METHODS

First, the bioassay results of a group of workers exposed to UO2 were compiled along with results of a control group. A Bayesian approach was developed to account for dietary intakes in the calculation of the committed effective dose from occupational exposure of a group of workers.

RESULTS

Significant differences in uranium bioassay between the exposed and control groups were found establishing an occupational contamination of the exposed group of workers. Because uranium alimentary excretion estimated from the control group is very variable leading to unreliable individual dose assessment, a collective dosimetric approach was chosen. Applying the Bayesian method, all annual committed effective doses for the exposed group were estimated to be below 0.5 mSv with 95% confidence.

CONCLUSIONS

The Bayesian method presented here is well designed to derive best estimate and dose distribution for a group of workers when a contamination is difficult to discriminate from a natural background or alimentary excretion.

摘要

目的

评估铀生物监测结果所反映的低水平职业暴露,这些结果受到饮食摄入的影响。

材料与方法

首先,我们编译了一组接触 UO2 的工人的生物监测结果以及对照组的结果。为了计算一组工人因职业暴露而摄入的有效剂量,我们开发了一种贝叶斯方法来考虑饮食摄入。

结果

暴露组和对照组之间的铀生物监测存在显著差异,这表明暴露组工人受到了职业污染。由于从对照组估计的铀饮食排泄量变化很大,导致个体剂量评估不可靠,因此选择了集体剂量学方法。应用贝叶斯方法,暴露组所有的年累积有效剂量估计均低于 0.5mSv,置信度为 95%。

结论

当污染难以与自然背景或饮食排泄区分时,本文提出的贝叶斯方法非常适合为一组工人推导出最佳估计值和剂量分布。

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