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

Ge X., Yin Z., Fan Y., Vasilevskij Yu. V., Lyan F.
International Journal for Numerical Methods in Biomedical Engineering
Vol.34, Issue10, Num.e3123
Опубликовано: 2018
Тип ресурса: Статья

DOI:10.1002/cnm.3123

Аннотация:
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-subepicardia
Ключевые слова:
computational model; coronary circulation; flow autoregulation; transmural myocardial flow
Blood vessels; Computation theory; Computational methods; Hemodynamics; Autoregulations; Clinical observation; Computational model; Coronary artery stenosis; Coronary circulation; Coronary perfusion pressure; Multi-scale Modeling; Transmural myocardial flow; Heart; animal; biological model; blood flow; blood pressure; coronary artery blood flow; coronary artery obstruction; coronary blood vessel; heart rate; hemodynamics; human; pathophysiology; physiology; Animals; Blood Pressure; Coronary Circulation; Coronary Stenosis; Coronary Vessels; Heart Rate; Hemodynamics; Humans; Models, Cardiovascular; Regional Blood Flow
Язык текста: Английский
ISSN: 2040-7947
Ge X.
Yin Z.
Fan Y.
Vasilevskij Yu. V. Yurij Viktorovich 1967-
Lyan F. Fuyu 1978-
Ге Х.
Yин З.
Фан Y.
Василевский Ю. В. Юрий Викторович 1967-
Лян Ф. Фую 1978-
A multi-scale model of the coronary circulation applied to investigate transmural myocardial flow
Текст визуальный непосредственный
International Journal for Numerical Methods in Biomedical Engineering
Vol.34, Issue10 Num.e3123
2018
Статья
computational model coronary circulation flow autoregulation transmural myocardial flow
Blood vessels Computation theory Computational methods Hemodynamics Autoregulations Clinical observation Computational model Coronary artery stenosis Coronary circulation Coronary perfusion pressure Multi-scale Modeling Transmural myocardial flow Heart animal biological model blood flow blood pressure coronary artery blood flow coronary artery obstruction coronary blood vessel heart rate hemodynamics human pathophysiology physiology Animals Blood Pressure Coronary Circulation Coronary Stenosis Coronary Vessels Heart Rate Hemodynamics Humans Models, Cardiovascular Regional Blood Flow
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-subepicardia