Computational analysis of hemodynamics using a two-dimensional model in moyamoya disease

Author:

Seol Ho Jun1,Shin Duk Chul2,Kim Yoo Seok2,Shim Eun Bo2,Kim Seung-Ki3,Cho Byung-Kyu3,Wang Kyu-Chang3

Affiliation:

1. Departments of Neurosurgery and

2. Mechanical and Mechatronics Engineering, Kangwon National University, Chuncheon; and

3. Division of Pediatric Neurosurgery, Seoul National University Children's Hospital, Seoul, Korea

Abstract

Object Bilateral intimal thickening of the distal internal carotid arteries (ICAs) and the development of many collateral vessels in the base of the brain characterize moyamoya disease (MMD). Although the etiology of and the reason why MMD is limited to the major intracranial vessels remain unclear, flow dynamics, such as shear stress, may be related to its smooth-muscle cell migration. Therefore, this study was performed to determine the local hemodynamic factor, which concerns the predominance of specific anatomical sites, such as the distal ICA in the early stage and the proximal posterior cerebral artery (PCA) in the advanced stage of MMD. Methods The authors simulated the hemodynamics in the circle of Willis using computational models of 2D geometries of the distal ICA and PCA. A finite-element commercial package, automatic dynamics incremental nonlinear analysis (ADINA), was used to simulate blood flow in these arteries. Results Numerical results demonstrated that shear stress was relatively low at the ICA region. The distribution of shear stress was related to the predisposing area of MMD. Conclusions Diminished shear stress may promote stenosis of the distal ICA, which is a major pathological region in MMD.

Publisher

Journal of Neurosurgery Publishing Group (JNSPG)

Subject

General Medicine

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