Computational fluid dynamics modeling in intracranial atherosclerotic disease

Linfang Lan; Xinyi Leng

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Computational fluid dynamics modeling in intracranial atherosclerotic disease

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摘要

Intracranial atherosclerotic disease (ICAD) is an important cause for ischemic stroke and transient ischemic stroke (TIA) throughout the world, es-pecially in Asians, which is not fully appreciated, partly due to its inaccessibility and limitations of current neu-roimaging methods. The computational fluid dynamics (CFD) modeling technique provides a novel approach to reveal the hemodynamic characteristics in ICAD, e.g., the distributions of pressure, wall shear stress and flow veloc-ity. In this review article, we aim to provide an overview of the general methodology of CFD modeling in arterial stenotic diseases, the established application of this tech-nique in coronary artery disease, and more importantly, perspectives and challenges of this technique in the in-vestigation of ICAD. Promising findings of preliminary studies using a CFD model for hemodynamic analysis in ICAD warrant verifications. Further studies in this area will help rectify loopholes in the current secondary pre-vention strategy, and inform individualized treatment for ICAD patients in the near future.

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《转化神经科学电子杂志（英文）》 |2017年第002期|7-15|共9页
作者
Linfang Lan; Xinyi Leng;
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作者单位

Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong 999077, China;

Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong 999077, China;

Shenzhen Research Institute, the Chinese University of Hong Kong, Shenzhen 518172, China;

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Computational fluid dynamics modeling in intracranial atherosclerotic disease

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