Enhancing intracranial aneurysm rupture risk prediction with a novel multivariable logistic regression model incorporating high-resolution vessel wall imaging

Enhancing intracranial aneurysm rupture risk prediction with a novel multivariable logistic regression model incorporating high-resolution vessel wall imaging

ObjectiveThis study aimed to develop and validate a multivariate logistic regression model for predicting intracranial aneurysm (IA) rupture by integrating clinical data, aneurysm morphology, and parent artery characteristics using high-resolution vessel wall imaging (HR-VWI).MethodsA retrospective...

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Bibliographic Details
Main Authors: Zihang Wang, Chang Yan, Wenqing Yuan, Shuangyan Jiang, Yongxiang Jiang, Ting Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Neurology
Subjects:
intracranial aneurysm
parent artery
HR-VWI
PHASES score
ELAPSS score
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2024.1507082/full
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https://www.frontiersin.org/articles/10.3389/fneur.2024.1507082/full

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