Literature DB >> 25682537

Distribution of aerosolized particles in healthy and emphysematous rat lungs: comparison between experimental and numerical studies.

Jessica M Oakes1, Alison L Marsden2, Céline Grandmont1, Chantal Darquenne3, Irene E Vignon-Clementel4.   

Abstract

In silico models of airflow and particle deposition in the lungs are increasingly used to determine the therapeutic or toxic effects of inhaled aerosols. While computational methods have advanced significantly, relatively few studies have directly compared model predictions to experimental data. Furthermore, few prior studies have examined the influence of emphysema on particle deposition. In this work we performed airflow and particle simulations to compare numerical predictions to data from our previous aerosol exposure experiments. Employing an image-based 3D rat airway geometry, we first compared steady flow simulations to coupled 3D-0D unsteady simulations in the healthy rat lung. Then, in 3D-0D simulations, the influence of emphysema was investigated by matching disease location to the experimental study. In both the healthy unsteady and steady simulations, good agreement was found between numerical predictions of aerosol delivery and experimental deposition data. However, deposition patterns in the 3D geometry differed between the unsteady and steady cases. On the contrary, satisfactory agreement was not found between the numerical predictions and experimental data for the emphysematous lungs. This indicates that the deposition rate downstream of the 3D geometry is likely proportional to airflow delivery in the healthy lungs, but not in the emphysematous lungs. Including small airway collapse, variations in downstream airway size and tissue properties, and tracking particles throughout expiration may result in a more favorable agreement in future studies.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aerosol exposure experiments; Airflow; Computational fluid dynamics; Multi-scale; Particle deposition

Mesh:

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Year:  2015        PMID: 25682537      PMCID: PMC4934663          DOI: 10.1016/j.jbiomech.2015.01.004

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  29 in total

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Authors:  Jessica M Oakes; Steven Day; Steven J Weinstein; Risa J Robinson
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7.  Airflow and particle deposition simulations in health and emphysema: from in vivo to in silico animal experiments.

Authors:  Jessica M Oakes; Alison L Marsden; Celine Grandmont; Shawn C Shadden; Chantal Darquenne; Irene E Vignon-Clementel
Journal:  Ann Biomed Eng       Date:  2013-12-07       Impact factor: 3.934

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Authors:  Jessica M Oakes; Miriam Scadeng; Ellen C Breen; Alison L Marsden; Chantal Darquenne
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Authors:  Ludovic de Rochefort; Laurence Vial; Redouane Fodil; Xavier Maître; Bruno Louis; Daniel Isabey; Georges Caillibotte; Marc Thiriet; Jacques Bittoun; Emmanuel Durand; Gabriela Sbirlea-Apiou
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Authors:  Jessica M Oakes; Miriam Scadeng; Ellen C Breen; G Kim Prisk; Chantal Darquenne
Journal:  Ann Biomed Eng       Date:  2013-01-25       Impact factor: 3.934

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4.  Aging effects on airflow dynamics and lung function in human bronchioles.

Authors:  JongWon Kim; Rebecca L Heise; Angela M Reynolds; Ramana M Pidaparti
Journal:  PLoS One       Date:  2017-08-28       Impact factor: 3.240

5.  Use of the FDA nozzle model to illustrate validation techniques in computational fluid dynamics (CFD) simulations.

Authors:  Prasanna Hariharan; Gavin A D'Souza; Marc Horner; Tina M Morrison; Richard A Malinauskas; Matthew R Myers
Journal:  PLoS One       Date:  2017-06-08       Impact factor: 3.240

6.  Inhalation Exposure Analysis of Lung-Inhalable Particles in an Approximate Rat Central Airway.

Authors:  Jingliang Dong; Jiawei Ma; Lin Tian; Kiao Inthavong; Jiyuan Tu
Journal:  Int J Environ Res Public Health       Date:  2019-07-18       Impact factor: 3.390

7.  In Silico Optimization of Fiber-Shaped Aerosols in Inhalation Therapy for Augmented Targeting and Deposition across the Respiratory Tract.

Authors:  Lihi Shachar-Berman; Saurabh Bhardwaj; Yan Ostrovski; Prashant Das; Pantelis Koullapis; Stavros Kassinos; Josué Sznitman
Journal:  Pharmaceutics       Date:  2020-03-05       Impact factor: 6.525

  7 in total

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