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颅内动脉瘤形成中分叉角度和分支模式的数值分析。

Numerical Analysis of Bifurcation Angles and Branch Patterns in Intracranial Aneurysm Formation.

机构信息

Department of Neurosurgery, Shinshu University School of Medicine, Matsumoto, Japan.

Institute of Engineering, Academic Assembly, Shinshu University, Nagano, Japan.

出版信息

Neurosurgery. 2019 Jul 1;85(1):E31-E39. doi: 10.1093/neuros/nyy387.

Abstract

BACKGROUND

Hemodynamic factors, especially wall shear stress (WSS), are generally thought to play an important role in intracranial aneurysm (IA) formation. IAs frequently occur at bifurcation apices, where the vessels are exposed to the impact of WSS.

OBJECTIVE

To elucidate the relationship between bifurcation geometry and WSS for IA formation.

METHODS

Twenty-one bifurcation models varying in branch angles and branch diameters were made with 3-dimensional computer-aided design software. In all models, the value of maximum WSS (WSSMAX), the area of high WSS (AREA), and the magnitude of wall shear force over AREA ($| {{{\vec{F}}_w}} |$) were investigated by the steady-flow simulation of computational fluid dynamics.

RESULTS

On the basis of statistical analysis, WSSMAX tended to be high when the bifurcation angle and/or branch diameter was small. AREA and $| {{{\vec{F}}_w}} |$ significantly increase as the bifurcation and/or the branch angle became larger.

CONCLUSION

The magnitude of WSS strongly correlated with bifurcation geometry. In addition to high WSS, AREA and $| {{{\vec{F}}_w}} |$ were thought to affect IA formation. Observed bifurcation geometry may predict IA formation. Large branch angles and small branch may increase the risk of IA formation.

摘要

背景

血流动力学因素,尤其是壁面切应力(WSS),被普遍认为在颅内动脉瘤(IA)形成中发挥重要作用。IA 常发生在分叉顶点处,血管在此处受到 WSS 的冲击。

目的

阐明分叉几何形状与 WSS 之间的关系,以促进对 IA 形成的理解。

方法

使用三维计算机辅助设计软件制作了 21 个分支角度和分支直径不同的分叉模型。在所有模型中,通过计算流体动力学的稳态流模拟,研究了最大壁面切应力(WSSMAX)、高壁面切应力区域(AREA)和壁面剪切力幅度(|{{\vec{F}}_w}|)。

结果

基于统计分析,当分叉角度和/或分支直径较小时,WSSMAX 倾向于较高。随着分叉和/或分支角度的增大,AREA 和 |{{\vec{F}}_w}| 显著增加。

结论

WSS 的大小与分叉几何形状密切相关。除了高 WSS,AREA 和 |{{\vec{F}}_w}| 也被认为会影响 IA 的形成。观察到的分叉几何形状可能预测 IA 的形成。较大的分支角度和较小的分支可能会增加 IA 的形成风险。

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