DEVELOPMENT OF SURROGATE LUNG SYSTEMS WITH CONTROLLED THERMODYNAMIC ENVIRONMENTS TO STUDY HYGROSCOPIC PARTICLES: AIR POLLUTANTS AND PHARMACOLOGIC DRUGS

Computer model of human lung morphology to complement SPECT analyses

Aerosol therapy protocols could be improved if inhaled pharmacologic drugs were selectively deposited within the human lung. The targeted delivery to specific sites, such as receptors and sensitive airway cells, would enhance the efficacies of airborne pharmaceuticals. The high spatial discrimination of deposition patterns of inhaled particles can be determined via Single Photon Emission Computer Tomography (SPECT). However, major problems continue to compromise SPECT protocols. Our work focuses on two issues: how can the spatial discrimination be improved; and how are the images to be interpreted? We present a methodology, described by a mathematical model and supercomputer code, for systematically slicing through the human lung in a prescribed manner that is conducive to implementation into SPECT analyses. The lung is divided into concentric shells, or annuli, and the airway generation-by-generation composition of the respective shells determined. This identification was accomplished by superimposing the new shell structure with the 3-D branching network presented by Martonen et al. [23]. Perhaps the key aspect of the model-code is that the supercomputer is instructed to determine the 3-D spatial coordinates of each of the airways (over 16 million) of the lung with respect to the clinician-selected contours of shells within the lung.

Mathematical model for the selective deposition of inhaled pharmaceuticals

To accurately assess the potential therapeutic effects of airborne drugs, the deposition sites of inhaled particles must be known. Herein, an original theory is presented for physiologically based pharmacokinetic modeling and related prophylaxis of airway diseases. The mathematical model describes the behavior and fate of particles in the lungs of adult human subjects under various breathing conditions. Their deposition patterns are calculated via superposition of the separate but not independent processes of inertial impaction, sedimentation, and diffusion. The related computer code is designed to calculate total and compartmental (tracheobronchial and pulmonary) distributions of inhaled aerosols. In this manuscript, the model is first tested via comparisons of predicted deposition patterns with laboratory data from human inhalation exposure experiments and then it is applied to determine which factors most influence the dosimetry of inhaled particles. In this format, deposition patterns are explicitly related to particle characteristics, ventilatory parameters, and intersubject variabilities of lung morphologies. The dosimetric model was developed to improve the efficacy of aerosol therapy via the selective deposition of inhaled pharmaceuticals at prescribed lung locations to elicit optimum effects.