Los Alamos National Laboratory, Albuquerque, NM 87108, USA.
Health Phys. 2012 Oct;103(4):484-94. doi: 10.1097/HP.0b013e318265e0c3.
This paper describes software ("RATDOSE") developed to analyze data from animal experiments investigating the efficacy of chelating agents. An empirical model building approach is used where, starting from the simplest model structures, one minimizes χ(2) by varying transfer rates in the model. Model complexity is increased as needed until the minimum attained value of χ(2) per data point decreases to about 1. This approach requires careful treatment of data uncertainties and independent checks of data self-consistency. The biokinetic models can include second-order kinetics to describe the chelation chemical reaction. The radiation dose to the animal is also calculated using S quantities specific for the animal, although the tissue weighting factors used to calculate the effective dose are those for the human.
本文介绍了一款用于分析螯合剂疗效动物实验数据的软件（“RATDOSE”）。该软件采用经验模型构建方法，从最简单的模型结构开始，通过改变模型中的传输速率来最小化 χ(2)。根据需要增加模型的复杂性，直到每个数据点达到的最小 χ(2)值降至约 1。这种方法需要仔细处理数据不确定性，并对数据的一致性进行独立检查。生物动力学模型可以包括二阶动力学来描述螯合化学反应。尽管用于计算有效剂量的组织权重因子是人类的，但仍使用针对动物的 S 量来计算动物的辐射剂量。
