Associations between haemodynamics and wall enhancement of intracranial aneurysm.

Associations between haemodynamics and wall enhancement of intracranial aneurysm.
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血流动力学与颅内动脉瘤壁强化之间的关联

DOI:
10.1136/svn-2020-000636
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发表时间:
2021-09
影响因子:
5.9
通讯作者:
Li R
Li R
中科院分区:
医学1区
文献类型:
--
作者:
Zhang M;Peng F;Tong X;Feng X;Li Y;Chen H;Niu H;Zhang B;Song G;Li Y;Liu P;Liu A;Li R

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以前的研究已经报道了炎症过程(IP)在动脉瘤的形成和破裂中发挥重要作用,这可能是由血液流动驱动的。高分辨率黑血MRI(BB-MRI)的动脉瘤壁增强(AWE)可识别IPS,四维血流MRI(4D-Flow MRI)可显示血流动力学。因此,本研究通过结合4D-Flow MRI和高分辨率BB-MRI来研究未破裂的颅内动脉瘤(IA)中AWE与血流动力学的关系。自2014年4月至2017年10月,48例患者49个未破裂性IA同时接受4D-Flow MRI和高分辨率BB-MRI检查,纳入本研究。采用Kruskal-Wallis检验和有序回归分析比较不同AWE模式下4D-Flow MRI显示的血流动力学参数。Kruskal-Wallis检验结果显示,IA型的平均壁面切应力(WSSavg-IA)、相邻载瘤动脉的最大通过平面速度、流入射流型式和IA的平均涡量(Vorticityavg-IA)与AWE型显著相关。有序回归分析表明,WSSavg-IA(p=0.002)和涡度avg-IA(p=0.033)是AWE模式的独立预测因子。对于大于4 mm的IAS,低WSS和低平均涡度独立地与高AWE等级相关。因此,WSS和平均涡度可以预测AWE和环向AWE。
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 (WSSavg-IA), maximum through-plane velocity in the adjacent parent artery, inflow jet patterns and the average vorticity in IA (vorticityavg-IA) were significantly associated with the AWE patterns. Ordinal regression analysis identified WSSavg-IA (p=0.002) and vorticityavg-IA (p=0.033) 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.
DOI: 10.1161/circulationaha.113.001444
发表时间: 2014-01-21
期刊: Circulation
影响因子: 37.8
作者:
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发表时间: 2020-10-01
影响因子: 6.9
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通讯作者: Liu, Jianmin