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A computational analysis on the impact of multilevel laryngotracheal stenosis on airflow and drug particle dynamics in the upper airway.

Publication ,  Journal Article
Gosman, RE; Sicard, RM; Cohen, SM; Frank-Ito, DO
Published in: Exp Comput Multiph Flow
2023

Laryngotracheal stenosis (LTS) is a type of airway narrowing that is frequently caused by intubation-related trauma. LTS can occur at one or multiple locations in the larynx and/or trachea. This study characterizes airflow dynamics and drug delivery in patients with multilevel stenosis. Two subjects with multilevel stenosis (S1 = glottis + trachea, S2 = glottis + subglottis) and one normal subject were retrospectively selected. Computed tomography scans were used to create subject-specific upper airway models. Computational fluid dynamics modeling was used to simulate airflow at inhalation pressures of 10, 25, and 40 Pa, and orally inhaled drug transport with particle velocities of 1, 5, and 10 m/s, and particle size range of 100 nm-40 µm. Subjects had increased airflow velocity and resistance at stenosis with decreased cross-sectional area (CSA): S1 had the smallest CSA at trachea (0.23 cm2) and resistance = 0.3 Pa·s/mL; S2 had the smallest CSA at glottis (0.44 cm2), and resistance = 0.16 Pa·s/mL. S1 maximal stenotic deposition was 4.15% at trachea; S2 maximal deposition was 2.28% at glottis. Particles of 11-20 µm had the greatest deposition, 13.25% (S1-trachea) and 7.81% (S2-subglottis). Results showed differences in airway resistance and drug delivery between subjects with LTS. Less than 4.2% of orally inhaled particles deposited at stenosis. Particle sizes with most stenotic deposition were 11-20 µm and may not represent typical particle sizes emitted by current-use inhalers.

Duke Scholars

Published In

Exp Comput Multiph Flow

DOI

EISSN

2661-8877

Publication Date

2023

Volume

5

Issue

3

Start / End Page

235 / 246

Location

Singapore

Related Subject Headings

  • 4012 Fluid mechanics and thermal engineering
 

Citation

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ICMJE
MLA
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Gosman, R. E., Sicard, R. M., Cohen, S. M., & Frank-Ito, D. O. (2023). A computational analysis on the impact of multilevel laryngotracheal stenosis on airflow and drug particle dynamics in the upper airway. Exp Comput Multiph Flow, 5(3), 235–246. https://doi.org/10.1007/s42757-022-0151-9
Gosman, Raluca E., Ryan M. Sicard, Seth M. Cohen, and Dennis O. Frank-Ito. “A computational analysis on the impact of multilevel laryngotracheal stenosis on airflow and drug particle dynamics in the upper airway.Exp Comput Multiph Flow 5, no. 3 (2023): 235–46. https://doi.org/10.1007/s42757-022-0151-9.
Gosman RE, Sicard RM, Cohen SM, Frank-Ito DO. A computational analysis on the impact of multilevel laryngotracheal stenosis on airflow and drug particle dynamics in the upper airway. Exp Comput Multiph Flow. 2023;5(3):235–46.
Gosman, Raluca E., et al. “A computational analysis on the impact of multilevel laryngotracheal stenosis on airflow and drug particle dynamics in the upper airway.Exp Comput Multiph Flow, vol. 5, no. 3, 2023, pp. 235–46. Pubmed, doi:10.1007/s42757-022-0151-9.
Gosman RE, Sicard RM, Cohen SM, Frank-Ito DO. A computational analysis on the impact of multilevel laryngotracheal stenosis on airflow and drug particle dynamics in the upper airway. Exp Comput Multiph Flow. 2023;5(3):235–246.
Journal cover image

Published In

Exp Comput Multiph Flow

DOI

EISSN

2661-8877

Publication Date

2023

Volume

5

Issue

3

Start / End Page

235 / 246

Location

Singapore

Related Subject Headings

  • 4012 Fluid mechanics and thermal engineering