Literature DB >> 27810625

Computationally efficient analysis of particle transport and deposition in a human whole-lung-airway model. Part I: Theory and model validation.

Arun V Kolanjiyil1, Clement Kleinstreuer2.   

Abstract

Computational predictions of aerosol transport and deposition in the human respiratory tract can assist in evaluating detrimental or therapeutic health effects when inhaling toxic particles or administering drugs. However, the sheer complexity of the human lung, featuring a total of 16 million tubular airways, prohibits detailed computer simulations of the fluid-particle dynamics for the entire respiratory system. Thus, in order to obtain useful and efficient particle deposition results, an alternative modeling approach is necessary where the whole-lung geometry is approximated and physiological boundary conditions are implemented to simulate breathing. In Part I, the present new whole-lung-airway model (WLAM) represents the actual lung geometry via a basic 3-D mouth-to-trachea configuration while all subsequent airways are lumped together, i.e., reduced to an exponentially expanding 1-D conduit. The diameter for each generation of the 1-D extension can be obtained on a subject-specific basis from the calculated total volume which represents each generation of the individual. The alveolar volume was added based on the approximate number of alveoli per generation. A wall-displacement boundary condition was applied at the bottom surface of the first-generation WLAM, so that any breathing pattern due to the negative alveolar pressure can be reproduced. Specifically, different inhalation/exhalation scenarios (rest, exercise, etc.) were implemented by controlling the wall/mesh displacements to simulate realistic breathing cycles in the WLAM. Total and regional particle deposition results agree with experimental lung deposition results. The outcomes provide critical insight to and quantitative results of aerosol deposition in human whole-lung airways with modest computational resources. Hence, the WLAM can be used in analyzing human exposure to toxic particulate matter or it can assist in estimating pharmacological effects of administered drug-aerosols. As a practical WLAM application, the transport and deposition of asthma drugs from a commercial dry-powder inhaler is discussed in Part II.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Airflow; Computational fluid dynamics; Lung; Particle deposition; Whole lung airway modeling

Mesh:

Year:  2016        PMID: 27810625     DOI: 10.1016/j.compbiomed.2016.10.020

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  6 in total

Review 1.  Use of computational fluid dynamics deposition modeling in respiratory drug delivery.

Authors:  P Worth Longest; Karl Bass; Rabijit Dutta; Vijaya Rani; Morgan L Thomas; Ahmad El-Achwah; Michael Hindle
Journal:  Expert Opin Drug Deliv       Date:  2018-12-10       Impact factor: 6.648

2.  Particle transport and deposition correlation with near-wall flow characteristic under inspiratory airflow in lung airways.

Authors:  Ali Farghadan; Kamran Poorbahrami; Sahar Jalal; Jessica M Oakes; Filippo Coletti; Amirhossein Arzani
Journal:  Comput Biol Med       Date:  2020-03-14       Impact factor: 4.589

3.  Efficient bi-directional coupling of 3D Computational Fluid-Particle Dynamics and 1D Multiple Path Particle Dosimetry lung models for multiscale modeling of aerosol dosimetry.

Authors:  A P Kuprat; M Jalali; T Jan; R A Corley; B Asgharian; O Price; R K Singh; S Colby; C Darquenne
Journal:  J Aerosol Sci       Date:  2020-08-15       Impact factor: 3.433

4.  A quasi-3D model of the whole lung: airway extension to the tracheobronchial limit using the constrained constructive optimization and alveolar modeling, using a sac-trumpet model.

Authors:  Ravishekar Ravi Kannan; Narender Singh; Andrzej Przekwas; Xianlian Alex Zhou; Ross Walenga; Andrew Babiskin
Journal:  J Comput Des Eng       Date:  2021-02-19

5.  AVATREE: An open-source computational modelling framework modelling Anatomically Valid Airway TREE conformations.

Authors:  Stavros Nousias; Evangelia I Zacharaki; Konstantinos Moustakas
Journal:  PLoS One       Date:  2020-04-03       Impact factor: 3.240

6.  New Approach Methodology for Assessing Inhalation Risks of a Contact Respiratory Cytotoxicant: Computational Fluid Dynamics-Based Aerosol Dosimetry Modeling for Cross-Species and In Vitro Comparisons.

Authors:  Richard A Corley; Andrew P Kuprat; Sarah R Suffield; Senthil Kabilan; Paul M Hinderliter; Kevin Yugulis; Tharacad S Ramanarayanan
Journal:  Toxicol Sci       Date:  2021-08-03       Impact factor: 4.849

  6 in total

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