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:贝叶斯推理在两个难治性PuO2吸入病例长期随访中的生物测定数据中的应用

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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:内部剂量评估不确定性的主要贡献通常可以通过生物动力学模型结构和参数的不确定性来解释。国际放射防护委员会(ICRP)目前正在更新其生物动力学模型,包括人体呼吸道模型(HRTM)。 Gregoratto等。 (2010年)提出了一种基于生理学的颗粒运输模型,该模型大大简化了从肺泡间隙区域清除颗粒的方法。使用加权似然蒙特卡洛采样(WeLMoS)方法进行的贝叶斯推断适用于来自美国铀和铀注册机构(USTUR)组织供体0202和0407的生物测定和尸检数据,这些供体按顺序暴露于“高火”难熔PuO2气溶胶中检验修改后的模型的适用性,并估计模型参数和肺部剂量的不确定性(由后验概率分布表示)。结果表明,通过适当的调整,Gregoratto等人。颗粒传输模型可以描述涉及暴露于高度不溶性颗粒的情况。在这两个人的呼吸系统的颗粒清除模式特征中观察到了显着差异。注册人0202的呼吸道很可能是由于他以前的职业暴露于煤尘,吸烟习惯和慢性阻塞性肺病而受到损害的,而捐赠者0407是非吸烟者,并且没有肺部疾病的既往史。然而,对于这两种情况,发现颗粒传输参数后验分布的中心值仍在Gregoratto等人得出的受试者间变异性的68%概率范围内。 fire火产生的PuO 2颗粒极难溶,约有99%的吸收物以约4.8 ??的速率吸收到血液中。 10天(Case 0202)和5.1 ?? 10-6 d-1(案件0202)。当考虑使用这种material材料时,与其他器官相比,对呼吸道组织的剂量较小。肺部总承诺加权当量总剂量的95%以上。

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