Analysis of symptomatic brain aneurysms with three-dimensional aneurysm wall enhancement

利用三维动脉瘤壁增强技术分析有症状的脑动脉瘤

阅读:1

Abstract

To determine whether three-dimensional quantitative assessment of aneurysm wall enhancement (AWE) improves the identification of high-risk intracranial aneurysms (IAs) compared to existing risk scoring systems. This cross-sectional, multicenter observational study included patients with saccular IAs who prospectively underwent 3T high-resolution MRI between 2018 and 2023 at the University of Iowa, Changhai Hospital, and Ren Ji Hospital. IAs were classified as symptomatic if associated with rupture, sentinel headache, cranial nerve palsy, or neurological symptoms due to mass effect. AWE was quantified using three-dimensional aneurysm wall mapping. The diagnostic performance of the PHASES score was compared to a multivariate logistic regression model developed using all-subsets regression, incorporating PHASES components along with sex, smoking status, aneurysm morphology, and AWE data. A total of 334 patients with 387 saccular IAs were analyzed; 73 aneurysms (19%) were symptomatic. In multivariate analysis, three-dimensional circumferential AWE (3D-CAWE) was independently associated with symptomatic presentation (OR 6.1, 95% CI 2.1–19.5; p < 0.001). The PHASES score achieved an area under the curve (AUC) of 0.64 (95% CI 0.56–0.71) for discriminating symptomatic IAs. A comprehensive model including age, smoking status, size ratio, and 3D-CAWE significantly outperformed PHASES, achieving an AUC of 0.80 (95% CI 0.74–0.85; ΔAUC = 0.16, 95% CI 0.09–0.23; p < 0.001). A comprehensive risk model that integrates clinical variables, aneurysm morphological features, and 3D-CAWE significantly improves the classification of symptomatic IAs compared to the PHASES score alone. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10143-025-04120-w.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。