Particle deposition in a multiple-path model of the human lung

Predicting the amount of particle deposition in the human lung following ex posure to airborne particulate matter is the first step toward evaluating r isks associated with exposure to airborne pollutants. Realistic deposition models are needed for accurate predictions of deposition in the lung, but a major limitation is the degree to which the lung geometry can be accuratel y reconstructed. Morphometric data for the entire airway tree of the human lung are not available. So far, idealistic lung structures have been used f or deposition calculations. In this study, 10 statistical lung structures b ased on morphometric measurements of Raabe et al. (1976) were generated for the conducting airways of the human lung. A symmetric, dichotomous branchi ng alveolar airway structure was attached to the end of the conducting airw ay tree of each lung structure. The total volume of the alveolar region was the same among the lung geometries. Using a mathematical scheme developed previously (Anjilvel and Asgharian 1995), regional, Lobar, and per-generati on depositions of particles were calculated in these geometries. The result s were compared to deposition predictions using typical-path and five-lobe symmetric lung geometry models. All three lung models showed very similar r egional and generation-by-generation deposition results. Lobar deposition w as found to strongly depend on the detailed morphometry of the lung structu re that was used.