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Characteristics of Wall Shear Stress and Pressure of Intracranial Atherosclerosis Analyzed by a Computational Fluid Dynamics Model: A Pilot Study
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 com...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6978719/ https://www.ncbi.nlm.nih.gov/pubmed/32010041 http://dx.doi.org/10.3389/fneur.2019.01372 |
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author | Chen, Zimo Qin, Haiqiang Liu, Jia Wu, Bokai Cheng, Zaiheng Jiang, Yong Liu, Liping Jing, Lina Leng, Xinyi Jing, Jing Wang, Yilong Wang, Yongjun |
author_facet | Chen, Zimo Qin, Haiqiang Liu, Jia Wu, Bokai Cheng, Zaiheng Jiang, Yong Liu, Liping Jing, Lina Leng, Xinyi Jing, Jing Wang, Yilong Wang, Yongjun |
author_sort | Chen, Zimo |
collection | PubMed |
description | 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(max)) 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(max) and pressure drop increased with significantly increasing steep beyond 50% stenosis. Moreover, WSS(max) 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. |
format | Online Article Text |
id | pubmed-6978719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69787192020-02-01 Characteristics of Wall Shear Stress and Pressure of Intracranial Atherosclerosis Analyzed by a Computational Fluid Dynamics Model: A Pilot Study Chen, Zimo Qin, Haiqiang Liu, Jia Wu, Bokai Cheng, Zaiheng Jiang, Yong Liu, Liping Jing, Lina Leng, Xinyi Jing, Jing Wang, Yilong Wang, Yongjun Front Neurol Neurology 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(max)) 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(max) and pressure drop increased with significantly increasing steep beyond 50% stenosis. Moreover, WSS(max) 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. Frontiers Media S.A. 2020-01-17 /pmc/articles/PMC6978719/ /pubmed/32010041 http://dx.doi.org/10.3389/fneur.2019.01372 Text en Copyright © 2020 Chen, Qin, Liu, Wu, Cheng, Jiang, Liu, Jing, Leng, Jing, Wang and Wang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Chen, Zimo Qin, Haiqiang Liu, Jia Wu, Bokai Cheng, Zaiheng Jiang, Yong Liu, Liping Jing, Lina Leng, Xinyi Jing, Jing Wang, Yilong Wang, Yongjun Characteristics of Wall Shear Stress and Pressure of Intracranial Atherosclerosis Analyzed by a Computational Fluid Dynamics Model: A Pilot Study |
title | Characteristics of Wall Shear Stress and Pressure of Intracranial Atherosclerosis Analyzed by a Computational Fluid Dynamics Model: A Pilot Study |
title_full | Characteristics of Wall Shear Stress and Pressure of Intracranial Atherosclerosis Analyzed by a Computational Fluid Dynamics Model: A Pilot Study |
title_fullStr | Characteristics of Wall Shear Stress and Pressure of Intracranial Atherosclerosis Analyzed by a Computational Fluid Dynamics Model: A Pilot Study |
title_full_unstemmed | Characteristics of Wall Shear Stress and Pressure of Intracranial Atherosclerosis Analyzed by a Computational Fluid Dynamics Model: A Pilot Study |
title_short | Characteristics of Wall Shear Stress and Pressure of Intracranial Atherosclerosis Analyzed by a Computational Fluid Dynamics Model: A Pilot Study |
title_sort | characteristics of wall shear stress and pressure of intracranial atherosclerosis analyzed by a computational fluid dynamics model: a pilot study |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6978719/ https://www.ncbi.nlm.nih.gov/pubmed/32010041 http://dx.doi.org/10.3389/fneur.2019.01372 |
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