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Quantifying annual internal effective (137)Cesium dose utilizing direct body-burden measurement and ecological dose modeling

机译:利用直接人体负担测量和生态剂量模型量化年度内部有效(137)铯剂量

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The Chernobyl Nuclear Power Plant (CNPP) accident represents one of the most significant civilian releases of (137)Cesium (Cs-137, radiocesium) in human history. In the Chernobyl-affected region, radiocesium is considered to be the greatest on-going environmental hazard to human health by radiobiologists and public health scientists. The goal of this study was to characterize dosimetric patterns and predictive factors for whole-body count (WBC)-derived radiocesium internal dose estimations in a CNPP-affected children's cohort, and cross-validate these estimations with a soil-based ecological dose estimation model. WBC data were used to estimate the internal effective dose using the International Commission on Radiological Protection (ICRP) 67 dose conversion coefficient for Cs-137 and MONDAL Version 3.01 software. Geometric mean dose estimates from each model were compared utilizing paired t-tests and intra-class correlation coefficients. Additionally, we developed predictive models for WBC-derived dose estimation in order to determine the appropriateness of EMARC to estimate dose for this population. The two WBC-derived dose predictive models identified Cs-137 soil concentration (P < 0.0001) as the strongest predictor of annual internal effective dose from radiocesium validating the use of the soil-based EMARC model. The geometric mean internal effective dose estimate of the EMARC model (0.183 mSv/y) was the highest followed by the ICRP 67 dose estimates (0.165 mSv/y) and the MONDAL model estimates (0.149 mSv/y). All three models yielded significantly different geometric mean dose (P < 0.05) estimates for this cohort when stratified by sex, age at time of exam and season of exam, except for the mean MONDAL and EMARC estimates for 15- and 16-year olds and mean ICRP and MONDAL estimates for children examined in Winter. Further prospective and retrospective radio-epidemiological studies utilizing refined WBC measurements and ecological model dose estimations, in conjunction with findings from animal toxicological studies, should help elucidate possible deterministic radiogenic health effects associated with chronic low-dose internal exposure to Cs-137
机译:切尔诺贝利核电站(CNPP)事故是人类历史上最严重的平民释放(137)铯(Cs-137,放射性铯)之一。在切尔诺贝利灾区,放射性生物学家和公共卫生科学家认为放射性铯是对人类健康的最大持续环境危害。这项研究的目的是表征受CNPP影响的儿童队列中的全身计数(WBC)衍生的放射性铯内部剂量估算的剂量模式和预测因素,并使用基于土壤的生态剂量估算模型对这些估算进行交叉验证。使用国际放射防护委员会(ICRP)67剂量转换系数针对Cs-137和MONDAL 3.01版软件,使用WBC数据估算内部有效剂量。利用配对的t检验和类内相关系数比较了每个模型的几何平均剂量估计值。此外,我们开发了用于WBC派生剂量估算的预测模型,以确定EMARC估算该人群剂量的适当性。根据WBC得出的两个剂量预测模型,通过放射性铯证实Cs-137的土壤浓度(P <0.0001)是年度内部有效剂量的最强预测因子,从而验证了基于土壤的EMARC模型的使用。 EMARC模型的几何平均内部有效剂量估计值(0.183 mSv / y)最高,其次是ICRP 67剂量估计值(0.165 mSv / y)和MONDAL模型估计值(0.149 mSv / y)。当按性别,检查时的年龄和检查季节进行分层时,这三个队列的所有模型均产生了显着不同的几何平均剂量估计值(P <0.05),除了15岁和16岁儿童的MONDAL和EMARC平均估计值以及冬季检查儿童的平均ICRP和MONDAL估算值。进一步的前瞻性和回顾性放射流行病学研究,利用经过细化的WBC测量和生态模型剂量估算,以及动物毒理学研究的发现,应有助于阐明与慢性低剂量内部暴露于Cs-137有关的可能的确定性放射健康影响

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