Quantitative assessment of collateral time on perfusion computed tomography in acute ischemic stroke patients

医学 侧支循环 灌注 灌注扫描 计算机断层血管造影 放射科 冲程(发动机) 血管造影 心脏病学 内科学 脑血流 工程类 机械工程
作者
Xu Yao,Jianhong Yang,Xiang Gao,Jie Sun,Qing Shang,Qing Han,Yuefei Wu,Jichuan Li,Tianqi Xu,Yi Huang,Yuning Pan,Mark W. Parson,Longting Lin
出处
期刊:Frontiers in Neurology [Frontiers Media SA]
卷期号:14: 1230697-1230697 被引量:2
标识
DOI:10.3389/fneur.2023.1230697
摘要

Background and aim Good collateral circulation is recognized to maintain perfusion and contribute to favorable clinical outcomes in acute ischemic stroke. This study aimed to derive and validate an optimal collateral time measurement on perfusion computed tomography imaging for patients with acute ischemic stroke. Methods This study included 106 acute ischemic stroke patients with complete large vessel occlusions. In deriving cohort of 23 patients, the parasagittal region of the ischemic hemisphere was divided into six pial arterial zones according to pial branches of the middle cerebral artery. Within the 85 arterial zones with collateral vessels, the receiver operating characteristic analysis was performed to derive the optimal collateral time threshold for fast collateral flow on perfusion computed tomography. The reference for fast collateral flow was the peak contrast delay on the collateral vessels within each ischemic arterial zone compared to its contralateral normal arterial zone on dynamic computed tomography angiography. The optimal perfusion collateral time threshold was then tested in predicting poor clinical outcomes (modified Rankin score of 5–6) and final infarct volume in the validation cohort of 83 patients. Results For the derivation cohort of 85 arterial zones, the optimal collateral time threshold for fast collateral flow on perfusion computed tomography was a delay time of 4.04 s [area under the curve = 0.78 (0.67, 0.89), sensitivity = 73%, and specificity = 77%]. Therefore, the delay time of 4 s was used to define the perfusion collateral time. In the validation cohort, the perfusion collateral time showed a slightly higher predicting power than dynamic computed tomography angiography collateral time in poor clinical outcomes (area under the curve = 0.72 vs. 0.67; P < 0.001). Compared to dynamic computed tomography angiography collateral time, the perfusion collateral time also had better performance in predicting final infarct volume (R-squared values = 0.55 vs. 0.23; P < 0.001). Conclusion Our results indicate that perfusion computed tomography can accurately quantify the collateral time after acute ischemic stroke.

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