Computational fluid dynamics modeling of symptomatic intracranial atherosclerosis may predict risk of stroke recurrence.

Computational fluid dynamics modeling of symptomatic intracranial atherosclerosis may predict risk of stroke recurrence.

Patients with symptomatic intracranial atherosclerosis (ICAS) of ≥ 70% luminal stenosis are at high risk of stroke recurrence. We aimed to evaluate the relationships between hemodynamics of ICAS revealed by computational fluid dynamics (CFD) models and risk of stroke recurrence in this patient subse...

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Bibliographic Details
Main Authors: Xinyi Leng, Fabien Scalzo, Hing Lung Ip, Mark Johnson, Albert K Fong, Florence S Y Fan, Xiangyan Chen, Yannie O Y Soo, Zhongrong Miao, Liping Liu, Edward Feldmann, Thomas W H Leung, David S Liebeskind, Ka Sing Wong
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4018340?pdf=render

Internet

http://europepmc.org/articles/PMC4018340?pdf=render

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