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Targeted delivery of inhalable drug particles in the tracheobronchial tree model of a pediatric patient with bronchopneumonia: A numerical study.
- Source :
-
Respiratory Physiology & Neurobiology . May2023, Vol. 311, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- Pneumonia is a common cause of hospitalization and death in children worldwide. Inhalation therapy is one of the methods treating pneumonia However, there are limited studies that distinguish between the physiology of children and adults, especially with respect to targeted drug delivery. A tracheobronchial (TB) tree model of an 11-year-old child with bronchopneumonia is selected as a testbed for in silico trials of targeted drug delivery. The airflow and particle transport are solved by the computational fluid dynamics method at an airflow rate of 15 LPM. The results indicate that the distribution of deposited particles shows aggregation on the particle release map. Point-source aerosol release (PSAR) method can significantly reduce the deposition efficiency (DE) of particles in the TB tree model. Specifically, the PSAR method can reduce the DE of large particles (i.e., 7.5 µm and 10 µm) by 7.57% and 9.61%, respectively. This enables rapid design of patient-specific treatment for different population age groups and different airway diseases. • A tracheobronchial tree model of a pediatric patient with bronchopneumonia was generated. • Release maps of particles with different diameters were obtained. • The locations for point-source aerosol release (PSAR) were optimized. • The optimized PSAR tubes can cover all diseased lung lobes. • The PSAR method can significantly reduce the deposition efficiency (DE) of large drug particles in the TB tree model. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15699048
- Volume :
- 311
- Database :
- Academic Search Index
- Journal :
- Respiratory Physiology & Neurobiology
- Publication Type :
- Academic Journal
- Accession number :
- 162392248
- Full Text :
- https://doi.org/10.1016/j.resp.2023.104024