Inflow Hemodynamics of Intracranial Aneurysms: A Comparison of Computational Fluid Dynamics and 4D Flow Magnetic Resonance Imaging

Inflow Hemodynamics of Intracranial Aneurysms: A Comparison of Computational Fluid Dynamics and 4D Flow Magnetic Resonance Imaging
复制标题

颅内动脉瘤的流入血流动力学:计算流体动力学与 4D 血流磁共振成像的比较

DOI:
10.1016/j.jstrokecerebrovasdis.2021.105685
复制
发表时间:
2021
影响因子:
2.5
通讯作者:
Nakada Mitsutoshi
Nakada Mitsutoshi
中科院分区:
医学4区
文献类型:
--
作者:
Misaki Kouichi;Futami Kazuya;Uno Takehiro;Nambu Iku;Yoshikawa Akifumi;Kamide Tomoya;Nakada Mitsutoshi

文献摘要

相似文献

目的颅内动脉瘤的血流动力学是其血管内治疗后破裂和复发的关键因素,但目前尚无最有效的血流动力学评价方法。我们比较了计算流体动力学(CFD)分析和四维流动磁共振成像(MRI)评估流入血流动力学的效果。方法对23例未破裂脑动脉瘤采用CFD和4D血流MRI对其血流动力学进行评价。评估的参数包括目视分类的流入射流模式、流入速率比(动脉瘤口的流入速率与近端母动脉流速之比)和流速比(流入速度与近端母动脉流速之比)。采用Shapiro-Wilk检验评估变量数据的正态性,对非正态分布的变量进行对数变换。数据分析采用Pearson相关分析和卡方检验。结果计算流体力学(CFD)与四维流动MRI (4D flow MRI)评价的入流射流形态具有显著相关性(p= 0.008)。此外,CFD评估的流入速率比与4D流动MRI之间存在很强的相关性(r = 0.801; p <0.001)。此外,CFD测量的流速比与4D流动MRI之间存在中度相关性(r = 0.559;p= 0.008)。结论通过CFD分析和4D流动MRI评估的流入血流动力学结果显示,流入射流模式、流入速率比和流速比具有良好的相关性。
PurposeAlthough the inflow hemodynamics of cerebral aneurysms are key factors in their rupture and recurrence after endovascular treatments, the most available method for inflow hemodynamics evaluation remains unestablished. We compared the efficacy of inflow hemodynamics evaluation using computational fluid dynamics (CFD) analysis and that using four-dimensional (4D) flow magnetic resonance imaging (MRI).MethodsIn 23 unruptured cerebral aneurysms, the inflow hemodynamics was evaluated using both CFD and 4D flow MRI. The evaluated parameters included visually classified inflow jet patterns, the inflow rate ratio (the ratio of the inflow rate at the aneurysmal orifice to the flow rate in the proximal parent artery), and the velocity ratio (the ratio of the inflow velocity to the velocity in the proximal parent artery). The Shapiro-Wilk test was used to assess the normality of variable data, and logarithmic transformation was performed for variables with non-normal distributions. Data analysis was performed using Pearson correlation analyses and the chi-square test.ResultsThere was a significant correlation between inflow jet patterns evaluated by CFD and 4D flow MRI (p= 0.008). Moreover, there was a strong correlation between the inflow rate ratios evaluated by CFD and 4D flow MRI (r = 0.801; p <0.001). Furthermore, there was a moderate correlation between the velocity ratios measured by CFD and 4D flow MRI (r = 0.559;p= 0.008).ConclusionInflow hemodynamics evaluated by CFD analysis and 4D flow MRI showed good correlations in inflow jet pattern, inflow rate ratio, and velocity ratio.