Development of a statistical model for discrimination of rupture status in posterior communicating artery aneurysms.
Development of a statistical model for discrimination of rupture status in posterior communicating artery aneurysms.
复制标题
开发用于区分后交通动脉瘤破裂状态的统计模型。
DOI：
10.1007/s00701-018-3595-8
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发表时间：
2018-08
影响因子：
2.4
通讯作者：
Cebral JR
中科院分区：
文献类型：
--
作者：
Detmer FJ;Chung BJ;Mut F;Pritz M;Slawski M;Hamzei-Sichani F;Kallmes D;Putman C;Jimenez C;Cebral JR
已知后交通动脉（PCOM）处的颅内动脉瘤与其他部位相比具有较高的破裂率。我们开发并内部验证了一种统计模型，该模型基于血流动力学和几何参数、血管结构和患者年龄区分破裂和未破裂的PCOM动脉瘤，目的是将来用于动脉瘤风险评估。使用基于图像的计算流体动力学（CFD）建模的272例患者的共289个PCOM动脉瘤，使用logistic组套索回归构建统计模型。这些模型进行了评价方面的歧视权力和良好的拟合使用十倍嵌套交叉验证和分裂样本的方法来模拟外部验证。最终模型保留了最大和最小壁面剪切应力（WSS）、平均载瘤动脉WSS、最大和最小振荡剪切指数、剪切集中指数和动脉瘤峰值流速;沿着动脉瘤高度和宽度、隆起位置、非球形指数、平均高斯曲率、血管结构类型和患者年龄。相应的曲线下面积（AUC）为0.8359。当依次忽略三家贡献最大的医院的数据，并对遗漏的数据应用相应的模型时，AUC分别为0.7507、0.7081和0.5842。基于患者年龄、血管结构、血流动力学和几何特征组合的统计模型可以区分破裂和未破裂的PCOM动脉瘤，AUC为84%。重要的是要包括来自不同医院的数据，以创建跨医院人群有效的动脉瘤破裂模型。
Intracranial aneurysms at the posterior communicating artery (PCOM) are known to have high rupture rates compared to other locations. We developed and internally validated a statistical model discriminating between ruptured and unruptured PCOM aneurysms based on hemodynamic and geometric parameters, angio-architectures, and patient age with the objective of its future use for aneurysm risk assessment. A total of 289 PCOM aneurysms in 272 patients modeled with image-based computational fluid dynamics (CFD) were used to construct statistical models using logistic group lasso regression. These models were evaluated with respect to discrimination power and goodness of fit using ten-fold nested cross-validation and a split-sample approach to mimic external validation. The final model retained maximum and minimum wall shear stress (WSS), mean parent artery WSS, maximum and minimum oscillatory shear index, shear concentration index, and aneurysm peak flow velocity; along with aneurysm height and width, bulge location, non-sphericity index, mean Gaussian curvature, angio-architecture type, and patient age. The corresponding area under the curve (AUC) was 0.8359. When omitting data from each of the three largest contributing hospitals in turn, and applying the corresponding model on the left-out data, the AUCs were 0.7507, 0.7081 and 0.5842, respectively. Statistical models based on a combination of patient age, angio-architecture, hemodynamics and geometric characteristics can discriminate between ruptured and unruptured PCOM aneurysms with an AUC of 84%. It is important to include data from different hospitals to create models of aneurysm rupture that are valid across hospital populations.
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影响因子：
4.8
作者：
Duan, Guoli;Lv, Nan;Huang, Qinghai
通讯作者：
Huang, Qinghai
影响因子：
39.2
作者：
Collins, Gary S.;Reitsma, Johannes B.;Moons, Karel G. M.
通讯作者：
Moons, Karel G. M.
影响因子：
10.6
作者：
Cebral, JR;Castro, MA;Frangi, AF
通讯作者：
Frangi, AF
影响因子：
9.3
作者：
Collins GS;Reitsma JB;Altman DG;Moons KG
通讯作者：
Moons KG
DOI：
10.3174/ajnr.a3678
发表时间：
2014-02
期刊：
AJNR. American journal of neuroradiology
影响因子：
--
作者：
Byrne G;Mut F;Cebral J
通讯作者：
Cebral J