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

Author:

Choi Sanghun1ORCID,Yoon Sujin1,Jeon Jichan1,Zou Chunrui23,Choi Jiwoong3ORCID,Tawhai Merryn H.4,Hoffman Eric A.567,Delvadia Renishkumar8,Babiskin Andrew8,Walenga Ross8,Lin Ching-Long2563

Affiliation:

1. School of Mechanical Engineering, Kyungpook National University, Daegu, Republic of Korea

2. Department of Mechanical Engineering, University of Iowa, Iowa City, Iowa

3. IIHR—Hydroscience and Engineering, University of Iowa, Iowa City, Iowa

4. Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand

5. Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa

6. Department of Radiology, University of Iowa, Iowa City, Iowa

7. Department of Internal Medicine, University of Iowa, Iowa City, Iowa

8. Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland

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 ([Formula: see text]) 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 [Formula: see text] for model B demonstrated better correlation with 4D CT-derived [Formula: see text] 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.

Funder

National Research Foundation of Korea (NRF)

National Institute of Health (NIH)

Korea Institute of Science and Technology Information (KISTI)

Extreme Science and Engineering Discovery Environment

HHS | U.S. Food and Drug Administration (FDA)

Publisher

American Physiological Society

Subject

Physiology (medical),Physiology

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