Xin Shangzhe, Chen Yongchun, Zhao Bing, Liang Fuyou
State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang.
J Biomech Eng. 2022 Aug 1;144(8). doi: 10.1115/1.4053793.
Discordant findings were frequently reported by studies dedicated to exploring the association of morphological/hemodynamic factors with the rupture of intracranial aneurysms (IAs), probably owing to insufficient control of confounding factors. In this study, we aimed to minimize the influences of confounding factors by focusing IAs of interest on mirror aneurysms and, meanwhile, modeling IAs together with the cerebral arterial network to improve the physiological fidelity of hemodynamic simulation. Fifty-two mirror aneurysms located at the middle cerebral artery (MCA) in 26 patients were retrospectively investigated. Numerical tests performed on two randomly selected patients demonstrated that over truncation of cerebral arteries proximal to the MCA during image-based model reconstruction led to uncertain changes in computed values of intra-aneurysmal hemodynamic parameters, which justified the minimal truncation strategy adopted in our study. Five morphological parameters (i.e., volume (V), height (H), dome area (DA), nonsphericity index (NSI), and size ratio (SR)) and two hemodynamic parameters (i.e., peak wall shear stress (WSS) (peakWSS), and pressure loss coefficient (PLc)) were found to differ significantly between the ruptured and unruptured aneurysms and proved by receiver operating characteristic (ROC) analysis to have potential value for differentiating the rupture status of aneurysm with the areas under curve (AUCs) ranging from 0.681 to 0.763. Integrating V, SR, peakWSS, and PLc or some of them into regression models considerably improved the classification of aneurysms, elevating AUC up to 0.864, which indicates that morphological and hemodynamic parameters have complementary roles in assessing the risk of aneurysm rupture.
致力于探索形态学/血流动力学因素与颅内动脉瘤(IA)破裂之间关联的研究经常报告不一致的结果,这可能是由于混杂因素控制不足所致。在本研究中,我们旨在通过将感兴趣的IA聚焦于镜像动脉瘤来最小化混杂因素的影响,同时,将IA与脑动脉网络一起建模以提高血流动力学模拟的生理逼真度。回顾性研究了26例患者中位于大脑中动脉(MCA)的52个镜像动脉瘤。对两名随机选择的患者进行的数值测试表明,基于图像的模型重建过程中MCA近端脑动脉的过度截断导致动脉瘤内血流动力学参数计算值出现不确定变化,这证明了我们研究中采用的最小截断策略的合理性。发现五个形态学参数(即体积(V)、高度(H)、瘤顶面积(DA)、非球度指数(NSI)和大小比(SR))和两个血流动力学参数(即峰值壁面切应力(WSS)(peakWSS)和压力损失系数(PLc))在破裂和未破裂的动脉瘤之间存在显著差异,并且通过受试者工作特征(ROC)分析证明其具有区分动脉瘤破裂状态的潜在价值,曲线下面积(AUC)范围为0.681至0.763。将V、SR、peakWSS和PLc或其中一些参数纳入回归模型可显著改善动脉瘤的分类,将AUC提高至0.864,这表明形态学和血流动力学参数在评估动脉瘤破裂风险中具有互补作用。