z-logo
open-access-imgOpen Access
Particulate Deposition in a Patient With Tracheal Stenosis
Author(s) -
Shahab Taherian,
Hamid Rahai,
Jeremy Bonifacio,
Bernardo Z. Gomez,
Thomas C. Waddington
Publication year - 2017
Publication title -
journal of engineering and science in medical diagnostics and therapy
Language(s) - English
Resource type - Journals
eISSN - 2572-7966
pISSN - 2572-7958
DOI - 10.1115/1.4038260
Subject(s) - stenosis , tracheal stenosis , computational fluid dynamics , deposition (geology) , airway , medicine , mechanics , materials science , radiology , biomedical engineering , cardiology , surgery , geology , physics , paleontology , sediment
The presence of obstructions such as tracheal stenosis has important effects on respiratory functions. Tracheal stenosis impacts the therapeutic efficacy of inhaled medications as a result of alterations in particle transport and deposition pattern. This study explores the effects of the presence and absence of stenosis/obstruction in the trachea on air flow characteristics and particle depositions. Computational fluid dynamics (CFD) simulations were performed on three-dimensional (3D) patient-specific models created from computed tomography (CT) images. The analyzed model was generated from a subject with tracheal stenosis and includes the airway tree up to eight generations. CT scans of expiratory and inspiratory phases were used for patient-specific boundary conditions. Preand post-intervention CFD simulations’ comparison reveals the effect of the stenosis on the characteristics of air flow, transport, and depositions of particles with diameters of 1, 2.5, 4, 6, 8, and 10 lm. Results indicate that the existence of the stenosis inflicts a major pressure force on the flow of inhaled air, leading to an increased deposition of particles both above and below the stenosis. Comparisons of the decrease in pressure in each generation between preand post-tracheal stenosis intervention demonstrated a significant reduction in pressure following the stenosis, which was maintained in all downstream generations. Good agreements were found using experimental validation of CFD findings with a model of the control subject up to the third generation, constructed via additive layer manufacturing from CT images. [DOI: 10.1115/1.4038260]

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom