In vitro-in vivo correlation of cascade impactor data for orally inhaled pharmaceutical aerosols

Abstract

In vitro-in vivo correlation is the establishment of a predictive relationship between in vitro and in vivo data. In the context of cascade impactor results of orally inhaled pharmaceutical aerosols, this involves the linking of parameters such as the emitted dose, fine particle dose, fine particle fraction, and mass median aerodynamic diameter to in vivo lung deposition from scintigraphy data. If the dissolution and absorption processes after deposition are adequately understood, the correlation may be extended to the pharmacokinetics and pharmacodynamics of the delivered drugs. Correlation of impactor data to lung deposition is a relatively new research area that has been gaining recent interest. Although few in number, experiments and meta-analyses have been conducted to examine such correlations. An artificial neural network approach has also been employed to analyse the complex relationships between multiple factors and responses. However, much research is needed to generate more data to obtain robust correlations. These predictive models will be useful in improving the efficiency in product development by reducing the need of expensive and lengthy clinical trials.

Keywords: Artificial neural network; Cascade impactor, Aerosols; Emitted dose (ED); Fine particle dose (FPD); Fine particle fraction (FPF); In vitro-in vivo correlation (IVIVC); Lung deposition; Mass median aerodynamic diameter (MMAD); Scintigraphy.