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一种简单的血流分类参数可区分颅内动脉瘤的破裂状态。

A Simple Flow Classification Parameter Can Discriminate Rupture Status in Intracranial Aneurysms.

机构信息

Department of Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, New York.

Department of Chemical Engineering, Queen's University, Kingston, Canada.

出版信息

Neurosurgery. 2020 Oct 15;87(5):E557-E564. doi: 10.1093/neuros/nyaa189.

Abstract

BACKGROUND

A simple dimensionless aneurysm number ($An$), which depends on geometry and flow pulsatility, was previously shown to distinguish the flow mode in intracranial aneurysms (IA): vortex mode with a dynamic vortex formation/evolution if $An > 1$, and cavity mode with a steady shear layer if $An < 1$.

OBJECTIVE

To hypothesize that $An\ > \ 1$ can distinguish rupture status because vortex mode is associated with high oscillatory shear index, which, in turn, is statistically associated with rupture.

METHODS

The above hypothesis is tested on a retrospective, consecutively collected database of 204 patient-specific IAs. The first 119 cases are assigned to training and the remainder to testing dataset. $An$ is calculated based on the pulsatility index (PI) approximated either from the literature or solving an optimization problem (denoted as$\ \widehat {PI}$). Student's t-test and logistic regression (LR) are used for hypothesis testing and data fitting, respectively.

RESULTS

$An$ can significantly discriminate ruptured and unruptured status with 95% confidence level (P < .0001). $An$ (using PI) and $\widehat {An}$ (using $\widehat {PI}$) significantly predict the ruptured IAs (for training dataset $An!:\ $AUC = 0.85, $\widehat {An}!:\ $AUC = 0.90, and for testing dataset $An!:\ $sensitivity = 94%, specificity = 33%, $\widehat {An}!:\ $sensitivity = 93.1%, specificity = 52.85%).

CONCLUSION

$An > 1$ predicts ruptured status. Unlike traditional hemodynamic parameters such as wall shear stress and oscillatory shear index, $An$ has a physical threshold of one (does not depend on statistical analysis) and does not require time-consuming flow simulations. Therefore, $An$ is a simple, practical discriminator of IA rupture status.

摘要

背景

先前已经证明,一个依赖于几何形状和流动脉动性的简单无维动脉瘤数($An$)可以区分颅内动脉瘤(IA)中的流动模式:如果$An\gt1$,则为涡流模式,具有动态涡流形成/演化;如果$An\lt1$,则为腔室模式,具有稳定的剪切层。

目的

假设$An\gt1$可以区分破裂状态,因为涡流模式与高振荡剪切指数相关,而振荡剪切指数又与破裂具有统计学相关性。

方法

该假设在一个回顾性的、连续收集的 204 个患者特定的 IA 数据库上进行了测试。前 119 个病例被分配到训练数据集,其余病例被分配到测试数据集。根据脉动指数(PI)计算$An$,PI 可以从文献中近似得到,也可以通过求解优化问题(表示为$\ \widehat {PI}$)得到。学生 t 检验和逻辑回归(LR)分别用于假设检验和数据拟合。

结果

$An$可以以 95%的置信水平(P <.0001)显著区分破裂和未破裂状态。$An$(使用 PI)和$\widehat {An}$(使用$\widehat {PI}$)显著预测破裂的 IA(对于训练数据集$An!:\ $AUC = 0.85,$\widehat {An}!:\ $AUC = 0.90,对于测试数据集$An!:\ $敏感性 = 94%,特异性 = 33%,$\widehat {An}!:\ $敏感性 = 93.1%,特异性 = 52.85%)。

结论

$An\gt1$预测破裂状态。与传统的血流动力学参数如壁面剪切应力和振荡剪切指数不同,$An$具有一个物理阈值(不依赖于统计分析),并且不需要耗时的流动模拟。因此,$An$是一种简单实用的 IA 破裂状态的判别器。

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