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PMID: 31261116 Published · ppublish English Journal Article Review

Computational fluid dynamics as a risk assessment tool for aneurysm rupture.

Neurosurgical focus ·Vol. 47 ·No. 1 ·2019-00-01 ·页码 E12

Murayama Y, Fujimura S, Suzuki T, Takao H

Abstract

The authors reviewed the clinical role of computational fluid dynamics (CFD) in assessing the risk of intracranial aneurysm rupture. A literature review was performed to identify reports on CFD assessment of aneurysms using PubMed. The usefulness of various hemodynamic parameters, such as wall shear stress (WSS) and the Oscillatory Shear Index (OSI), and their role in aneurysm rupture risk analysis, were analyzed. The authors identified a total of 258 published articles evaluating rupture risk, growth, and endovascular device assessment. Of these 258 articles, 113 matching for CFD and hemodynamic parameters that contribute to the risk of rupture (such as WSS and OSI) were identified. However, due to a lack of standardized methodology, controversy remains on each parameter's role. Although controversy continues to exist on which risk factors contribute to predict aneurysm rupture, CFD can provide additional parameters to assess this rupture risk. This technology can contribute to clinical decision-making or evaluation of efficacy for endovascular methods and devices.

Keywords
CFD = computational fluid dynamics FD = flow diverter FSI = fluid structure interaction ICA = internal carotid artery MCA = middle cerebral artery OSI = Oscillatory Shear Index PD = pressure difference PLc = pressure loss coefficient STL = stereolithography WSS = wall shear stress computational fluid dynamics hemodynamics intracranial aneurysm rupture
MeSH 主题词
Aneurysm, Ruptured/diagnosis,physiopathology Animals Hemodynamics Humans Hydrodynamics Intracranial Aneurysm/diagnosis,physiopathology Risk Assessment Stress, Physiological
作者与单位
共 4 位作者,点击展开单位 / ORCID
Murayama Yuichi
Departments of1Neurosurgery and. | 2Innovation for Medical Information Technology, The Jikei University School of Medicine, Tokyo.
Fujimura Soichiro
2Innovation for Medical Information Technology, The Jikei University School of Medicine, Tokyo. | 3Graduate School of Mechanical Engineering, Tokyo University of Science, Tokyo; and.
Suzuki Tomoaki
4Department of Neurosurgery, Brain Research Institute, Niigata University, Niigata, Japan.
Takao Hiroyuki
Departments of1Neurosurgery and. | 2Innovation for Medical Information Technology, The Jikei University School of Medicine, Tokyo. | 3Graduate School of Mechanical Engineering, Tokyo University of Science, Tokyo; and.
Article Info
Journal
Neurosurgical focus
Abbr.
Neurosurg Focus
ISSN
1092-0684
Published
2019-00-01
页码
E12
Language
English
Country/Region
United States
NLM ID
100896471
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