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计算流体动力学分析及其与术中动脉瘤特征的相关性

Computational Fluid Dynamics Analysis and Correlation with Intraoperative Aneurysm Features.

作者信息

Feletti Alberto, Wang Xiangdong, Talari Sandeep, Mewada Tushit, Mamadaliev Dilshod, Tanaka Riki, Yamada Yasuhiro, Kei Yamashiro, Suyama Daisuke, Kawase Tukasa, Kato Yoko

机构信息

Department of Neurosciences, Neurosurgery Unit, NOCSAE Modena Hospital, Modena, Italy.

Department of Neurosurgery, Fujita Health University Hospital, Nagoya, Japan.

出版信息

Acta Neurochir Suppl. 2018;129:3-9. doi: 10.1007/978-3-319-73739-3_1.

Abstract

INTRODUCTION

There are many controversies about computational fluid dynamics (CFD) findings and aneurysm initiation, growth, and ultimate rupture. The aim of our work was to analyze CFD data in a consecutive series of patients and to correlate them with intraoperative visual aneurysm findings.

METHODS

Hemoscope software (Amin, Ziosoft Corporation, Minato ward, Tokyo, Japan) was used to process images from 17 patients who underwent clipping of 18 aneurysms. Pressure (P), wall shear stress (WSS) gradient and vectors, normalized WSS, and streamlines (SL) direction and velocity were assessed. CFD data were compared to intraoperative visual findings. A total of 39 aneurysm wall areas were assessed.

RESULTS

Red, thin aneurysm wall areas were more often associated with low WSS. However, the association of low WSS with high P, diverging WSS vectors, direct impact of SL, and high SL velocity more frequently matched with yellow, atherosclerotic aneurysm walls.

CONCLUSIONS

Low WSS alone is not sufficient to determine the thickness of an aneurysm wall. Its association with other parameters might enable one to distinguish preoperatively atherosclerotic, thick areas (high P, diverging WSS vectors, high flow velocity) from thin areas with higher rupture risk (parallel WSS vectors, lower flow velocity). The changing balance between these parameters can modify the features and the risk of rupture of aneurysm wall over time.

摘要

引言

关于计算流体动力学(CFD)的研究结果以及动脉瘤的起始、生长和最终破裂存在许多争议。我们研究的目的是分析一系列连续患者的CFD数据,并将其与术中动脉瘤的直观表现相关联。

方法

使用Hemoscope软件(Amin,Ziosoft公司,日本东京港区)处理17例接受18个动脉瘤夹闭术患者的图像。评估压力(P)、壁面剪应力(WSS)梯度和矢量、归一化WSS以及流线(SL)方向和速度。将CFD数据与术中直观表现进行比较。总共评估了39个动脉瘤壁区域。

结果

红色、薄的动脉瘤壁区域更常与低WSS相关。然而,低WSS与高P、发散的WSS矢量、SL的直接冲击以及高SL速度的关联更常与黄色、动脉粥样硬化的动脉瘤壁相匹配。

结论

仅低WSS不足以确定动脉瘤壁的厚度。它与其他参数的关联可能使人们能够在术前区分动脉粥样硬化的厚壁区域(高P、发散的WSS矢量、高流速)和破裂风险较高的薄壁区域(平行的WSS矢量、较低的流速)。随着时间的推移,这些参数之间不断变化的平衡可以改变动脉瘤壁的特征和破裂风险。

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