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PMID: 31451338 Published · ppublish English Journal Article

Computational Fluid Dynamics Analysis of Lateral Striate Arteries in Acute Ischemic Stroke Using 7T High-resolution Magnetic Resonance Angiography.

Mori F, Ishida F, Natori T, Miyazawa H, Kameda H, Harada T, Yoshioka K, Yamashita F, Uwano I, Ito K, Sasaki M

Abstract

Infarcts in the lateral striate artery (LSA) territory can be caused by several pathological changes, including lipohyalinosis and microatheroma. However, fluid dynamic effects on these changes remain unknown. Thus, we investigated whether the fluid dynamic metrics of the LSAs were altered in patients with acute ischemic stroke using computational fluid dynamics (CFD) analysis. Fifty-one patients with acute ischemic stroke confined in the basal ganglia and/or corona radiata underwent high-resolution magnetic resonance angiography (HR-MRA) at 7T. We performed CFD analyses to obtain indices including the wall shear stress (WSS), WSS gradient (WSSG), and flow velocity (FV) and compared these values between the ipsilesional and contralesional sides in the patients with infarcts in the LSA or non-LSA territories. In patients with LSA-territory infarcts, the WSS, WSSG, and FV values were significantly lower in the ipsilesional LSAs than in the contralesional LSAs (P = .01-.03), while these values in the proximal middle cerebral arteries showed no significant lateralities. In contrast, in patients with non-LSA-territory infarcts, there were no significant lateralities in the metrics between the ipsilesional and contralesional sides. The CFD analyses using HR-MRA revealed significantly low WSS and WSSG values of the ipsilesional LSAs compared with that of the contralesional side in patients with LSA-territory infarcts, suggesting that fluid dynamic factors of LSAs can be one of the risk factors for LSA-territory infarctions.

Keywords
Lateral striate artery acute stroke computational fluid dynamics magnetic resonance angiography ultrahigh field
MeSH Terms
Adult Aged Aged, 80 and over Blood Flow Velocity Brain Ischemia/diagnostic imaging,physiopathology Cerebral Angiography/methods Cerebral Arteries/diagnostic imaging,physiopathology Cerebrovascular Circulation Female Humans Magnetic Resonance Angiography Male Middle Aged Models, Cardiovascular Patient-Specific Modeling Predictive Value of Tests Prospective Studies Stress, Mechanical Stroke/diagnostic imaging,physiopathology
Authors & Affiliations
11 authors, click to expand affiliations / ORCID
Mori Futoshi
Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Iwate Prefecture, Japan. Electronic address: [email protected].
Ishida Fujimaro
Department of Neurosurgery, Mie Chuo Medical Center, Mie Prefecture, Japan.
Natori Tatsunori
Department of Neurology and Gerontology, Iwate Medical University, Iwate Prefecture, Japan.
Miyazawa Haruna
Department of Neurology and Gerontology, Iwate Medical University, Iwate Prefecture, Japan.
Kameda Hiroyuki
Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Japan.
Harada Taisuke
Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Japan.
Yoshioka Kunihiro
Department of Radiology, Iwate Medical University, Iwate Prefecture, Japan.
Yamashita Fumio
Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Iwate Prefecture, Japan.
Uwano Ikuko
Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Iwate Prefecture, Japan.
Ito Kenji
Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Iwate Prefecture, Japan.
Sasaki Makoto
Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Iwate Prefecture, Japan.
Article Info
Journal
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Abbr.
J Stroke Cerebrovasc Dis
ISSN
1532-8511
Published
2019-11-00
Epub
2019-00-24
Pages
104339
Language
English
Region
United States
NLM ID
9111633
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