Luciani A, Doerfel H, Polig E
ENEA-Radiation Protection Institute, 16, Via dei Colli, 40136 Bologna, Italy.
Radiat Prot Dosimetry. 2003;105(1-4):383-6. doi: 10.1093/oxfordjournals.rpd.a006263.
A quantitative estimate of the uncertainty of the urinary excretion of plutonium predicted by available biokinetic models is provided. Urinary excretion is primarily considered here because the monitoring of internal contamination of plutonium mainly relies on measurements of activity in urine samples. A previous paper has identified the most significant transfer rates for urinary plutonium excretion following an acute intake. That analysis is used here as a screening method to reduce the number of model parameters to be considered. A log-normal distribution was assumed for the probability distribution of the model parameters. The spread of the values, represented by the geometric standard deviation (GSD), is explicitly calculated, as few indications of the range of variation of systemic transfer rates are available. Different values for the GSD were considered. Assuming a certain GSD for all the systemic rate constants, random values of the rates were generated (by means of a Monte Carlo simulation with a Latin hypercube sampling scheme) and the resulting predictions of urine bioassay measurements were calculated. The comparison of the mean and variance of the predictions with the available data from several studies performed on different subjects provides information about the GSD of model parameters that represents the intersubject variation of transfer parameters.
本文给出了通过现有生物动力学模型预测的钚尿排泄不确定性的定量估计。此处主要考虑尿排泄,因为钚体内污染监测主要依赖于尿样中活度的测量。先前的一篇论文已确定了急性摄入后钚尿排泄的最重要转移率。该分析在此用作筛选方法,以减少需考虑的模型参数数量。假设模型参数的概率分布为对数正态分布。由于几乎没有关于全身转移率变化范围的指示,因此明确计算了由几何标准差(GSD)表示的值的离散程度。考虑了不同的GSD值。假设所有全身速率常数具有一定的GSD,生成速率的随机值(通过采用拉丁超立方抽样方案的蒙特卡罗模拟),并计算尿生物测定测量的结果预测值。将预测值的均值和方差与对不同受试者进行的多项研究的现有数据进行比较,可提供有关代表转移参数个体间差异的模型参数GSD的信息。