Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Stroke Vasc Neurol. 2021 Sep;6(3):467-475. doi: 10.1136/svn-2020-000636. Epub 2021 Feb 26.
Previous studies have reported about inflammation processes (IPs) that play important roles in aneurysm formation and rupture, which could be driven by blood flow. IPs can be identified using aneurysmal wall enhancement (AWE) on high-resolution black-blood MRI (BB-MRI) and blood flow haemodynamics can be demonstrated by four-dimensional-flow MRI (4D-flow MRI). Thus, this study investigated the associations between AWE and haemodynamics in unruptured intracranial aneurysms (IA) by combining 4D-flow MRI and high-resolution BB-MRI.
Between April 2014 and October 2017, 48 patients with 49 unruptured IA who underwent both 4D-flow MRI and high-resolution BB-MRI were retrospectively included in this study. The haemodynamic parameters demonstrated using 4D-flow MRI were compared between different AWE patterns using the Kruskal-Wallis test and ordinal regression.
The results of Kruskal-Wallis test showed that the average wall shear stress in the IA (WSS), maximum through-plane velocity in the adjacent parent artery, inflow jet patterns and the average vorticity in IA (vorticity) were significantly associated with the AWE patterns. Ordinal regression analysis identified WSS (p=0.002) and vorticity (p0.033) as independent predictors of AWE patterns.
A low WSS and low average vorticity were independently associated with a high AWE grade for IAs larger than 4 mm. Therefore, WSS and average vorticity could predict AWE and circumferential AWE.
既往研究报道了炎症过程(IPs)在动脉瘤形成和破裂中发挥重要作用,这些过程可能由血流驱动。高分辨率黑血磁共振成像(BB-MRI)上的动脉瘤壁增强(AWE)可识别 IPs,血流动力学可通过四维流磁共振成像(4D-flow MRI)来证明。因此,本研究通过结合 4D-flow MRI 和高分辨率 BB-MRI 来研究未破裂颅内动脉瘤(IA)中的 AWE 与血流动力学之间的相关性。
2014 年 4 月至 2017 年 10 月,回顾性纳入 48 例接受 4D-flow MRI 和高分辨率 BB-MRI 检查的 49 个未破裂 IA 患者。使用 Kruskal-Wallis 检验和有序回归比较 4D-flow MRI 显示的血流动力学参数在不同 AWE 模式之间的差异。
Kruskal-Wallis 检验结果显示,IA 内平均壁切应力(WSS)、相邻母动脉内最大平面速度、流入射流模式和 IA 内平均涡度(vorticity)与 AWE 模式显著相关。有序回归分析确定 WSS(p=0.002)和 vorticity(p0.033)是 AWE 模式的独立预测因子。
大于 4mm 的 IA 中,低壁切应力和低平均涡度与 AWE 分级高独立相关。因此,壁切应力和平均涡度可预测 AWE 和周向 AWE。