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Characteristics of Wall Shear Stress and Pressure of Intracranial Atherosclerosis Analyzed by a Computational Fluid Dynamics Model: A Pilot Study.

Authors :
Chen, Zimo
Qin, Haiqiang
Liu, Jia
Wu, Bokai
Cheng, Zaiheng
Jiang, Yong
Liu, Liping
Jing, Lina
Leng, Xinyi
Jing, Jing
Wang, Yilong
Wang, Yongjun
Source :
Frontiers in Neurology; 1/17/2020, Vol. 10, p1-9, 9p
Publication Year :
2020

Abstract

Background: Although wall shear stress (WSS) and pressure play important roles in plaque vulnerability, characteristics of the two indices in intracranial atherosclerosis (ICAS) have not been fully investigated yet. This study aimed to elucidate this issue by means of establishing a non-invasive computational fluid dynamics method with time-of-flight magnetic resonance angiography (TOF-MRA) of the whole cerebral artery. Materials and Methods: Subjects with symptomatic ICAS in the middle cerebral artery domain were enrolled, excluding those with concomitant internal carotid artery stenosis. Based on patient-specific TOF-MRA images for three-dimensional (3D) meshes and arterial blood pressure with patient-specific carotid artery ultrasonography for inlet boundary conditions, patients' three-dimensional hemodynamics were modeled by a finite element method governed by Navier-Stokes equations. Results: Among the 55 atherosclerotic lesions analyzed by this TOF-MRA based computational fluid dynamics model, the maximum WSS (WSS<subscript>max</subscript>) was most frequently detected at the apex points and the upper half of the upstream sections of the lesions, whereas the maximum pressure was most often located at the lower half of the upstream sections. As the percent stenosis increases, the relative value of WSS<subscript>max</subscript> and pressure drop increased with significantly increasing steep beyond 50% stenosis. Moreover, WSS<subscript>max</subscript> was found to linearly correlate with pressure drop in ICAS. Conclusions: This study on ICAS revealed certain trends of longitudinal distribution of WSS and pressure and the influences of percent stenosis on cerebral hemodynamics, as well as the correlations between WSS and pressure drop. It represents a step forward in applying computational flow simulation techniques in studying ICAS and stroke, in a patient-specific manner. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16642295
Volume :
10
Database :
Complementary Index
Journal :
Frontiers in Neurology
Publication Type :
Academic Journal
Accession number :
141294677
Full Text :
https://doi.org/10.3389/fneur.2019.01372