Literature DB >> 29947132

A multi-scale model of the coronary circulation applied to investigate transmural myocardial flow.

Xinyang Ge1,2, Zhaofang Yin3, Yuqi Fan3, Yuri Vassilevski4,5,6, Fuyou Liang1,2,6.   

Abstract

Distribution of blood flow in myocardium is a key determinant of the localization and severity of myocardial ischemia under impaired coronary perfusion conditions. Previous studies have extensively demonstrated the transmural difference of ischemic vulnerability. However, it remains incompletely understood how transmural myocardial flow is regulated under in vivo conditions. In the present study, a computational model of the coronary circulation was developed to quantitatively evaluate the sensitivity of transmural flow distribution to various cardiovascular and hemodynamic factors. The model was further incorporated with the flow autoregulatory mechanism to simulate the regulation of myocardial flow in the presence of coronary artery stenosis. Numerical tests demonstrated that heart rate (HR), intramyocardial tissue pressure (Pim ), and coronary perfusion pressure (Pper ) were the major determinant factors for transmural flow distribution (evaluated by the subendocardial-to-subepicardial (endo/epi) flow ratio) and that the flow autoregulatory mechanism played an important compensatory role in preserving subendocardial perfusion against reduced Pper . Further analysis for HR variation-induced hemodynamic changes revealed that the rise in endo/epi flow ratio accompanying HR decrease was attributable not only to the prolongation of cardiac diastole relative to systole, but more predominantly to the fall in Pim . Moreover, it was found that Pim and Pper interfered with each other with respect to their influence on transmural flow distribution. These results demonstrate the interactive effects of various cardiovascular and hemodynamic factors on transmural myocardial flow, highlighting the importance of taking into account patient-specific conditions in the explanation of clinical observations.
© 2018 John Wiley & Sons, Ltd.

Entities:  

Keywords:  computational model; coronary circulation; flow autoregulation; transmural myocardial flow

Mesh:

Year:  2018        PMID: 29947132     DOI: 10.1002/cnm.3123

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  10 in total

1.  Variations of human cerebral and ocular blood flow during exposure to multi-axial accelerations : A mathematical modeling study.

Authors:  Weipeng Li; Bitian Wang; Yawei Wang; Xiaoyu Liu; Wentao Feng; Tianya Liu; Zhujun Sun; Yu Liu; Songyang Liu; Yubo Fan
Journal:  Med Biol Eng Comput       Date:  2022-01-08       Impact factor: 2.602

2.  Balloon Deflation Strategy during Primary Percutaneous Coronary Intervention in Acute ST-Segment Elevation Myocardial Infarction: A Randomized Controlled Clinical Trial and Numerical Simulation-Based Analysis.

Authors:  Jun Gu; Yang Zhuo; Tian-Jiao Liu; Jie Li; Zhao-Fang Yin; Zuo-Jun Xu; Li Fan; Qing He; Kan Chen; Hua-Su Zeng; Xiao-Fei Wang; Yu-Qi Fan; Jun-Feng Zhang; Fu-You Liang; Chang-Qian Wang
Journal:  Cardiol Res Pract       Date:  2020-09-07       Impact factor: 1.866

3.  Long-term hemodynamic mechanism of enhanced external counterpulsation in the treatment of coronary heart disease: a geometric multiscale simulation.

Authors:  Bao Li; Wenxin Wang; Boyan Mao; Haisheng Yang; Haijun Niu; Jianhang Du; Xiaoling Li; Youjun Liu
Journal:  Med Biol Eng Comput       Date:  2019-09-14       Impact factor: 2.602

4.  Role of coronary flow regulation and cardiac-coronary coupling in mechanical dyssynchrony associated with right ventricular pacing.

Authors:  Lei Fan; Ravi Namani; Jenny S Choy; Yousif Awakeem; Ghassan S Kassab; Lik Chuan Lee
Journal:  Am J Physiol Heart Circ Physiol       Date:  2020-12-24       Impact factor: 4.733

5.  An optimal control approach to determine resistance-type boundary conditions from in-vivo data for cardiovascular simulations.

Authors:  Elisa Fevola; Francesco Ballarin; Laura Jiménez-Juan; Stephen Fremes; Stefano Grivet-Talocia; Gianluigi Rozza; Piero Triverio
Journal:  Int J Numer Method Biomed Eng       Date:  2021-08-15       Impact factor: 2.648

6.  Computational instantaneous wave-free ratio (IFR) for patient-specific coronary artery stenoses using 1D network models.

Authors:  Jason M Carson; Carl Roobottom; Robin Alcock; Perumal Nithiarasu
Journal:  Int J Numer Method Biomed Eng       Date:  2019-11       Impact factor: 2.648

7.  Non-invasive coronary CT angiography-derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different computational methodologies.

Authors:  Jason Matthew Carson; Sanjay Pant; Carl Roobottom; Robin Alcock; Pablo Javier Blanco; Carlos Alberto Bulant; Yuri Vassilevski; Sergey Simakov; Timur Gamilov; Roman Pryamonosov; Fuyou Liang; Xinyang Ge; Yue Liu; Perumal Nithiarasu
Journal:  Int J Numer Method Biomed Eng       Date:  2019-08-16       Impact factor: 2.747

8.  A Numerical Model for Simulating the Hemodynamic Effects of Enhanced External Counterpulsation on Coronary Arteries.

Authors:  Bao Li; Ke Xu; Jincheng Liu; Boyan Mao; Na Li; Hao Sun; Zhe Zhang; Xi Zhao; Haisheng Yang; Liyuan Zhang; Tianming Du; Jianhang Du; Youjun Liu
Journal:  Front Physiol       Date:  2021-04-12       Impact factor: 4.566

9.  A Closed-Loop Modeling Framework for Cardiac-to-Coronary Coupling.

Authors:  Anneloes G Munneke; Joost Lumens; Theo Arts; Tammo Delhaas
Journal:  Front Physiol       Date:  2022-02-28       Impact factor: 4.566

Review 10.  Overview of mathematical modeling of myocardial blood flow regulation.

Authors:  Ravi Namani; Yoram Lanir; Lik Chuan Lee; Ghassan S Kassab
Journal:  Am J Physiol Heart Circ Physiol       Date:  2020-03-06       Impact factor: 4.733

  10 in total

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