Journal Article

In Silico Quantification of Intersubject Variability on Aerosol Deposition in the Oral Airway

Borojeni, Azadeh A. T., Gu, Wanjun, Asgharian, Bahman, Singh, Rajesh K., Corley, Richard A., Darquenne, Chantal, Price, Owen, Colby, Sean, Kuprat, Andrew P.

2023

Overview

The extrathoracic oral airway is not only a major mechanical barrier for pharmaceutical aerosols to reach the lung but also a major source of variability in lung deposition. Using computational fluid dynamics, deposition of 1–30 µm particles was predicted in 11 CT-based models of the oral airways of adults. Simulations were performed for mouth breathing during both inspiration and expiration at two steady-state flow rates representative of resting/nebulizer use (18 L/min) and of dry powder inhaler (DPI) use (45 L/min). Consistent with previous in vitro studies, there was a large intersubject variability in oral deposition. For an optimal size distribution of 1–5 µm for pharmaceutical aerosols, our data suggest that >75% of the inhaled aerosol is delivered to the intrathoracic lungs in most subjects when using a nebulizer but only in about half the subjects when using a DPI. There was no significant difference in oral deposition efficiency between inspiration and expiration, unlike subregional deposition, which shows significantly different patterns between the two breathing phases. These results highlight the need for incorporating a morphological variation of the upper airway in predictive models of aerosol deposition for accurate predictions of particle dosimetry in the intrathoracic region of the lung.

• Publisher: MDPI AG,MDPI
• Subject: Aerosols / Boundary conditions / Chronic obstructive pulmonary disease / computational fluid dynamics (CFD) / inertial impaction / laryngeal particle deposition / Larynx / Medical imaging / oropharyngeal deposition / Reynolds number / Severe acute respiratory syndrome coronavirus 2 / Simulation / Velocity