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首页> 外文期刊>Health Physics: Official Journal of the Health Physics Society >Application of Bayesian inference to the bioassay data from long-term follow-up of two refractory PuO2 inhalation cases
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Application of Bayesian inference to the bioassay data from long-term follow-up of two refractory PuO2 inhalation cases

机译:贝叶斯推理的应用生物测定数据来自两个耐火材料的长期随访PuO2吸入的情况下

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The dominant contribution to the uncertainty in internal dose assessment can often be explained by the uncertainty in the biokinetic model structure and parameters. The International Commission on Radiological Protection (ICRP) is currently updating its biokinetic models, including the Human Respiratory Tract Model (HRTM). Gregoratto et al. (2010) proposed a physiologically-based particle transport model that simplifies significantly the representation of particle clearance from the alveolar interstitial region. Bayesian inference using the Weighted Likelihood Monte-Carlo Sampling (WeLMoS) method is applied to the bioassay and autopsy data from the U.S. Transuranium and Uranium Registries' (USTUR) tissue donors 0202 and 0407 exposed to "high fired," refractory PuO2 aerosols in order to examine the applicability of the revised model and to estimate the uncertainties in model parameters and the lung doses as expressed by the posterior probability distributions. It is demonstrated that, with appropriate adjustments, the Gregoratto et al. particle transport model can describe situations involving exposure to highly insoluble particles. Significant differences are observed in particle clearance pattern characteristics to these two individuals' respiratory systems. The respiratory tract of registrant 0202 was most likely compromised by his prior occupational exposure to coal dust, smoking habit, and chronic obstructive pulmonary disease, while donor 0407 was a non-smoker and had no prior history of lung disorder. However, the central values of the particle transport parameter posterior distributions for both cases are found to be still within the 68% probability range for the inter-subject variability derived by Gregoratto et al. PuO 2 particles produced by the plutonium fire were extremely insoluble, with about 99% absorbed into blood at a rate of approximately 4.8 ?? 10 d (Case 0202) and 5.1 ?? 10-6 d-1 (Case 0202). When considering this type of plutonium material, doses to other body organs are small in comparison to those to tissues of the respiratory tract. More than 95% of the total committed weighted equivalent dose is contributed by the lungs.
机译:的主要贡献的不确定性内部剂量评估通常可以解释道biokinetic模型中的不确定性结构和参数。放射防护委员会(ICRP)目前更新其biokinetic模型,包括人类的呼吸道模型(HRTM)。有着生理基础粒子运输模型这显著简化表示粒子从肺泡间隙间质区域。加权似然蒙特卡罗抽样(WeLMoS)方法应用于生物测定和解剖数据来自美国超铀和铀注册中心”(USTUR) 0202年和0407年组织捐助者暴露于“高解雇,”耐火PuO2气溶胶为了研究的适用性修正后的模型和估计的不确定性在模型参数和肺剂量表示后验概率分布。适当调整,Gregoratto et al。粒子运输模型可以描述的情况涉及暴露在高度不溶性微粒。在粒子有显著差异这两个间隙模式特征个人的呼吸系统。束的注册人0202年是最有可能的被他的前职业暴露煤尘、吸烟习惯,和慢性阻塞性肺疾病,而捐赠0407年不吸烟,没有之前的历史肺障碍。粒子传输参数后分布在这两种情况下被发现仍在68%的概率范围Gregoratto inter-subject可变性派生et al。火非常不溶性,约为99%吸收血液的速度大约4.8 ? ?0202)。材料,其他身体器官剂量很小相比那些组织的呼吸束。加权等效剂量的贡献肺。

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