Study on the correlation between the degree of intracranial vascular stenosis and culprit plaque characteristics with the risk of stroke recurrence
10.3969/j.issn.1002-1671.2025.10.001
- VernacularTitle:颅内血管狭窄程度与责任斑块特征对卒中复发风险的关联性研究
- Author:
Lin HAN
1
;
Jie WANG
;
Zi'ang LI
;
Yu GAO
;
Ziqing YANG
;
Xinhui MA
;
Haipeng LIU
;
Ruifang YAN
;
Hongling ZHAO
;
Hongkai CUI
Author Information
1. 新乡医学院第一附属医院影像中心,河南 卫辉 453100
- Publication Type:Journal Article
- Keywords:
stroke recurrence;
high-resolution magnetic resonance vessel wall imaging;
plaque characteristics
- From:
Journal of Practical Radiology
2025;41(10):1593-1599
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the application of high-resolution magnetic resonance vessel wall imaging(HRMR-VWI)in identifying high-risk features of intracranial atherosclerotic plaques,and to analyze the correlation between plaque characteristics and stroke recurrence under varying degrees of stenosis.Methods The data from 368 patients with intracranial atherosclerotic stenosis(ICAS)across two centers were retrospectively analyzed.Based on the degree of stenosis,all patients were categorized into mild-to-moderate stenosis group(luminal stenosis<70%,n=155)and severe stenosis group(luminal stenosis≥70%,n=213).HRMR-VWI images and clinical information of the patients were collected and analyzed,and the culprit plaques were quantitatively analyzed.Univariate and multivariate logistic regression analyses were employed to identify the risk factors for stroke recurrence,and the predictive performance was evaluated using the area under the curve(AUC)of the receiver operating characteristic(ROC)curve.Results Higher normalized wall index(NWI)[odds ratio(OR)=1.082,95%confidence interval(CI)1.050-1.118,P<0.05]and the presence of intraplaque hemorrhage(IPH)(OR=1.843,95%CI 1.120-3.036,P<0.05)were risk factors for stroke recurrence in all patients.And these two factors were also significant in the mild-to-moderate stenosis group(NWI:OR=1.088,95%CI 1.009-1.186,P<0.05;IPH:OR=4.049,95%CI 1.227-16.065,P<0.05).A predictive model for stroke recurrence was constructed using the combination of IPH and NWI,with the best performance in the mild-to-moderate stenosis group(AUC=0.813,95%CI 0.723-0.906).Conclusion In patients with luminal stenosis<70%,the increase of NWI and the presence of IPH have been validated as significant and effective indicators for predicting stroke recurrence,demonstrating notable predictive performance.In contrast,among patients with luminal stenosis≥70%,the utility of plaque characteristics in predicting stroke recurrence is relatively lower,indicating that the correlation between plaque characteristics and stroke recurrence varies across different degrees of stenosis.
