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  4. Dynamic changes in microvascular flow conductivity and perfusion after myocardial infarction shown by image-based modeling
 
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Dynamic changes in microvascular flow conductivity and perfusion after myocardial infarction shown by image-based modeling

Journal
Journal of the American Heart Association
Journal Volume
8
Journal Issue
7
Date Issued
2019
Author(s)
Gkontra P.
El-Bouri W.K.
Norton K.-A.
Santos A.
Popel A.S.
Payne S.J.
Arroyo A.G.
STEPHEN JOHN PAYNE  
DOI
10.1161/JAHA.118.011058
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063603665&doi=10.1161%2fJAHA.118.011058&partnerID=40&md5=242d0fdd36ecf39e0b6d691def266d53
https://scholars.lib.ntu.edu.tw/handle/123456789/611739
Abstract
Background-Microcirculation is a decisive factor in tissue reperfusion inadequacy following myocardial infarction (MI). Nonetheless, experimental assessment of blood flow in microcirculation remains a bottleneck. We sought to model blood flow properties in coronary microcirculation at different time points after MI and to compare them with healthy conditions to obtain insights into alterations in cardiac tissue perfusion. Methods and Results-We developed an image-based modeling framework that permitted feeding a continuum flow model with anatomical data previously obtained from the pig coronary microvasculature to calculate physiologically meaningful permeability tensors. The tensors encompassed the microvascular conductivity and were also used to estimate the arteriole-venule drop in pressure and myocardial blood flow. Our results indicate that the tensors increased in a bimodal pattern at infarcted areas on days 1 and 7 after MI while a nonphysiological decrease in arteriole-venule drop in pressure was observed; contrary, the tensors and the arteriole-venule drop in pressure on day 3 after MI, and in remote areas, were closer to values for healthy tissue. Myocardial blood flow calculated using the condition-dependent arteriole-venule drop in pressure decreased in infarcted areas. Last, we simulated specific modes of vascular remodeling, such as vasodilation, vasoconstriction, or pruning, and quantified their distinct impact on microvascular conductivity. Conclusions-Our study unravels time- and region-dependent alterations of tissue perfusion related to the structural changes occurring in the coronary microvasculature due to MI. It also paves the way for conducting simulations in new therapeutic interventions in MI and for image-based microvascular modeling by applying continuum flow models in other biomedical scenarios. ? 2019 The Authors.
Subjects
animal tissue
arteriole
Article
blood vessel parameters
cardiac imaging
conductance
continuum flow model
controlled study
coronary artery blood flow
coronary blood vessel
heart infarction
heart muscle blood flow
heart tissue
mathematical model
microcirculation
microvasculature
nonhuman
nuclear magnetic resonance imaging
permeability tensor
pig
pressure gradient
priority journal
vascular remodeling
vasoconstriction
vasodilatation
venule
animal
blood flow velocity
confocal microscopy
disease model
magnetic resonance angiography
pathophysiology
physiology
Animals
Blood Flow Velocity
Coronary Circulation
Coronary Vessels
Disease Models, Animal
Magnetic Resonance Angiography
Microcirculation
Microscopy, Confocal
Microvessels
Myocardial Infarction
Swine
SDGs

[SDGs]SDG3

Type
journal article

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