Branch flow distribution approach and its application in the calculation of fractional flow reserve in stenotic coronary artery

Objective: To calculate fractional flow reserve (FFR) based on computed tomography angiography (i.e., FFRCT) by considering the branch flow distribution in the coronary arteries. Background: FFR is the gold standard to diagnose myocardial ischemia caused by coronary stenosis. An accurate and no...

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Autores principales: Honghui Zhang, Jun Xia, Yinlong Yang, Qingqing Yang, Hongfang Song, Jinjie Xie, Yue Ma, Yang Hou, Aike Qiao
Formato: article
Lenguaje:EN
Publicado: AIMS Press 2021
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Acceso en línea:https://doaj.org/article/7cf453ee35c640c098aa2425c53cf0c2
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spelling oai:doaj.org-article:7cf453ee35c640c098aa2425c53cf0c22021-11-09T05:58:56ZBranch flow distribution approach and its application in the calculation of fractional flow reserve in stenotic coronary artery10.3934/mbe.20212991551-0018https://doaj.org/article/7cf453ee35c640c098aa2425c53cf0c22021-07-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021299?viewType=HTMLhttps://doaj.org/toc/1551-0018Objective: To calculate fractional flow reserve (FFR) based on computed tomography angiography (i.e., FFRCT) by considering the branch flow distribution in the coronary arteries. Background: FFR is the gold standard to diagnose myocardial ischemia caused by coronary stenosis. An accurate and noninvasive method for obtaining total coronary blood flow is needed for the calculation of FFRCT. Methods: A mathematical model for estimating the coronary blood flow rate and two approaches for setting the patient-specific flow boundary condition were proposed. Coronary branch flow distribution methods based on a volume-flow approach and a diameter-flow approach were employed for the numerical simulation of FFRCT. The values of simulated FFRCT for 16 patients were compared with their clinically measured FFR. Results: The ratio of total coronary blood flow to cardiac output and the myocardial blood flow under the condition of hyperemia were 16.97% and 4.07 mL/min/g, respectively. The errors of FFRCT compared with clinical data under the volume-flow approach and diameter-flow approach were 10.47% and 11.76%, respectively, the diagnostic accuracies of FFRCT were 65% and 85%, and the consistencies were 95% and 90%. Conclusions: The mathematical model for estimating the coronary blood flow rate and the coronary branch flow distribution method can be applied to calculate the value of clinical noninvasive FFRCT.Honghui ZhangJun XiaYinlong YangQingqing YangHongfang Song Jinjie Xie Yue MaYang HouAike Qiao AIMS Pressarticlecoronary artery diseasehemodynamicsendovascular interventioncatheterizationdiagnosisBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 5978-5994 (2021)
institution DOAJ
collection DOAJ
language EN
topic coronary artery disease
hemodynamics
endovascular intervention
catheterization
diagnosis
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
spellingShingle coronary artery disease
hemodynamics
endovascular intervention
catheterization
diagnosis
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
Honghui Zhang
Jun Xia
Yinlong Yang
Qingqing Yang
Hongfang Song
Jinjie Xie
Yue Ma
Yang Hou
Aike Qiao
Branch flow distribution approach and its application in the calculation of fractional flow reserve in stenotic coronary artery
description Objective: To calculate fractional flow reserve (FFR) based on computed tomography angiography (i.e., FFRCT) by considering the branch flow distribution in the coronary arteries. Background: FFR is the gold standard to diagnose myocardial ischemia caused by coronary stenosis. An accurate and noninvasive method for obtaining total coronary blood flow is needed for the calculation of FFRCT. Methods: A mathematical model for estimating the coronary blood flow rate and two approaches for setting the patient-specific flow boundary condition were proposed. Coronary branch flow distribution methods based on a volume-flow approach and a diameter-flow approach were employed for the numerical simulation of FFRCT. The values of simulated FFRCT for 16 patients were compared with their clinically measured FFR. Results: The ratio of total coronary blood flow to cardiac output and the myocardial blood flow under the condition of hyperemia were 16.97% and 4.07 mL/min/g, respectively. The errors of FFRCT compared with clinical data under the volume-flow approach and diameter-flow approach were 10.47% and 11.76%, respectively, the diagnostic accuracies of FFRCT were 65% and 85%, and the consistencies were 95% and 90%. Conclusions: The mathematical model for estimating the coronary blood flow rate and the coronary branch flow distribution method can be applied to calculate the value of clinical noninvasive FFRCT.
format article
author Honghui Zhang
Jun Xia
Yinlong Yang
Qingqing Yang
Hongfang Song
Jinjie Xie
Yue Ma
Yang Hou
Aike Qiao
author_facet Honghui Zhang
Jun Xia
Yinlong Yang
Qingqing Yang
Hongfang Song
Jinjie Xie
Yue Ma
Yang Hou
Aike Qiao
author_sort Honghui Zhang
title Branch flow distribution approach and its application in the calculation of fractional flow reserve in stenotic coronary artery
title_short Branch flow distribution approach and its application in the calculation of fractional flow reserve in stenotic coronary artery
title_full Branch flow distribution approach and its application in the calculation of fractional flow reserve in stenotic coronary artery
title_fullStr Branch flow distribution approach and its application in the calculation of fractional flow reserve in stenotic coronary artery
title_full_unstemmed Branch flow distribution approach and its application in the calculation of fractional flow reserve in stenotic coronary artery
title_sort branch flow distribution approach and its application in the calculation of fractional flow reserve in stenotic coronary artery
publisher AIMS Press
publishDate 2021
url https://doaj.org/article/7cf453ee35c640c098aa2425c53cf0c2
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