Lung clearance modeling on the basis of physiological and biological parameters

To construct models and choose parameters for recommended lung dosimetric models, it is necessary to integrate many sets of experimental data. Information is not always useful, and appropriate quantitative data are often lacking. Therefore, available data from animal experiments and human clinical studies are often used as substitutes; this is the case, for example, for values of mechanical clearance pathways and factors. On the other hand, multiple and diverse data sets can help to evaluate the influence of individual variations, such as sex differences, age, exercise state, waking or sleeping state, and various abnormal conditions, so models will be suitable to describe conditions in a large number of people. When precise values cannot be estimated from existing data, it may be necessary to investigate a particular mechanism, such as material solubilization, by means of in vivo and in vitro techniques. However, it is difficult to extrapolate from such studies to humans. In this paper we discuss construction of an interspecies model of Co3O4 lung clearance from data for several animal species and a few human subjects.