Literature DB >> 31095459

1D network simulations for evaluating regional flow and pressure distributions in healthy and asthmatic human lungs.

Sanghun Choi1, Sujin Yoon1, Jichan Jeon1, Chunrui Zou2,3, Jiwoong Choi3, Merryn H Tawhai4, Eric A Hoffman5,6,7, Renishkumar Delvadia8, Andrew Babiskin8, Ross Walenga8, Ching-Long Lin2,5,6,3.   

Abstract

This study aimed to introduce a one-dimensional (1D) computational fluid dynamics (CFD) model for airway resistance and lung compliance to examine the relationship between airway resistance, pressure, and regional flow distribution. We employed five healthy and five asthmatic subjects who had dynamic computed tomography (CT) scans (4D CT) along with two static scans at total lung capacity and functional residual capacity. Fractional air-volume change ( ΔVairf ) from 4D CT was used for a validation of the 1D CFD model. We extracted the diameter ratio from existing data sets of 61 healthy subjects for computing mean and standard deviation (SD) of airway constriction/dilation in CT-resolved airways. The lobar mean (SD) of airway constriction/dilation was used to determine diameters of CT-unresolved airways. A 1D isothermal energy balance equation was solved, and pressure boundary conditions were imposed at the acinar region (model A) or at the pleural region (model B). A static compliance model was only applied for model B to link acinar and pleural regions. The values of 1D CFD-derived ΔVairf for model B demonstrated better correlation with 4D CT-derived ΔVairf than model A. In both inspiration and expiration, asthmatic subjects with airway constriction show much greater pressure drop than healthy subjects without airway constriction. This increased transpulmonary pressures in the asthmatic subjects, leading to an increased workload (hysteresis). The 1D CFD model was found to be useful in investigating flow structure, lung hysteresis, and pressure distribution for healthy and asthmatic subjects. The derived flow distribution could be used for imposing boundary conditions of 3D CFD. NEW & NOTEWORTHY A one-dimensional (1D) computational fluid dynamics (CFD) model for airway resistance and lung compliance was introduced to examine the relationship between airway resistance, pressure, and regional flow distribution. The 1D CFD model investigated differences of flow structure, lung hysteresis, and pressure distribution for healthy and asthmatic subjects. The derived flow distribution could be used for imposing boundary conditions of three-dimensional CFD.

Entities:  

Keywords:  airway diameter; airway resistance; boundary condition; lung compliance; lung hysteresis

Mesh:

Year:  2019        PMID: 31095459      PMCID: PMC6692748          DOI: 10.1152/japplphysiol.00016.2019

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  41 in total

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Authors:  Merryn H Tawhai; Peter Hunter; Juerg Tschirren; Joseph Reinhardt; Geoffrey McLennan; Eric A Hoffman
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4.  The distribution of ventilation during bronchoconstriction is patchy and bimodal: a PET imaging study.

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Authors:  Merryn H Tawhai; Martyn P Nash; Eric A Hoffman
Journal:  Acad Radiol       Date:  2006-01       Impact factor: 3.173

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Authors:  R Scott Harris; Daniel P Schuster
Journal:  J Appl Physiol (1985)       Date:  2006-10-12

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Authors:  Jose G Venegas; Tilo Winkler; Guido Musch; Marcos F Vidal Melo; Dominick Layfield; Nora Tgavalekos; Alan J Fischman; Ronald J Callahan; Giacomo Bellani; R Scott Harris
Journal:  Nature       Date:  2005-03-16       Impact factor: 49.962

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Journal:  J Nucl Med       Date:  2001-08       Impact factor: 10.057

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Journal:  Acad Radiol       Date:  2008-06       Impact factor: 3.173

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Authors:  Anselm J Deninger; Sven Månsson; J Stefan Petersson; Göran Pettersson; Peter Magnusson; Jonas Svensson; Björn Fridlund; Georg Hansson; Ingrid Erjefeldt; Per Wollmer; Klaes Golman
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  5 in total

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Authors:  Xuan Zhang; Frank Li; Prathish K Rajaraman; Jiwoong Choi; Alejandro P Comellas; Eric A Hoffman; Benjamin M Smith; Ching-Long Lin
Journal:  Eur J Pharm Sci       Date:  2022-07-29       Impact factor: 5.112

Review 2.  Origins of and lessons from quantitative functional X-ray computed tomography of the lung.

Authors:  Eric A Hoffman
Journal:  Br J Radiol       Date:  2022-03-01       Impact factor: 3.629

3.  Transport and deposition of hygroscopic particles in asthmatic subjects with and without airway narrowing.

Authors:  Prathish K Rajaraman; Jiwoong Choi; Eric A Hoffman; Patrick T O'Shaughnessy; Sanghun Choi; Renishkumar Delvadia; Andrew Babiskin; Ross Walenga; Ching-Long Lin
Journal:  J Aerosol Sci       Date:  2020-04-28       Impact factor: 3.433

4.  Sound transmission in human thorax through airway insonification: an experimental and computational study with diagnostic applications.

Authors:  Harish Palnitkar; Brian M Henry; Zoujun Dai; Ying Peng; Hansen A Mansy; Richard H Sandler; Robert A Balk; Thomas J Royston
Journal:  Med Biol Eng Comput       Date:  2020-07-14       Impact factor: 2.602

5.  Towards a multi-scale computer modeling workflow for simulation of pulmonary ventilation in advanced COVID-19.

Authors:  Shea Middleton; Elizabeth Dimbath; Anup Pant; Stephanie M George; Veeranna Maddipati; M Sean Peach; Kaida Yang; Andrew W Ju; Ali Vahdati
Journal:  Comput Biol Med       Date:  2022-04-12       Impact factor: 6.698

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