Association of local solid mechanical, hemodynamic and morphological characteristics with ruptured intracranial aneurysm

Xiaodong Zhai; Peng Hu; Yadong Wang; Hongqi Zhang; Lan Cao; Tianming Huang; Jia Lu; Yuanming Luo

doi:10.1002/cnm.3674

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Association of local solid mechanical, hemodynamic and morphological characteristics with ruptured intracranial aneurysm

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Association of local solid mechanical, hemodynamic and morphological characteristics with ruptured intracranial aneurysm

Xiaodong Zhai, Peng Hu, Yadong Wang, Hongqi Zhang, Lan Cao, Tianming Huang, Jia Lu and Yuanming Luo

International journal for numerical methods in biomedical engineering, Vol.39(3), e3674

03/2023

DOI: 10.1002/cnm.3674

PMID: 36541137

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Abstract

The rupture of intracranial aneurysms (IAs) is a complicated phenomenon of which the mechanism is not fully understood. The purpose of this study is to associate local solid mechanical, hemodynamic and morphological characteristics with rupture regions through statistical means, in an attempt to identify the parameters that are indicative of rupture propensity for IAs. Twenty patient-specific ruptured IA models were reconstructed from digital subtraction angiography (DSA), and applied in the analysis of wall tension, wall shear stress (WSS) and curvature. The precise rupture locations were marked out through intraoperative videos. Pearson correlation analysis was employed to investigate the correlations of these three parameters with patient characteristics and global geometric features. Univariate and multivariate logistic regression analysis were further performed on wall tension, WSS and curvature with regards to rupture and nonrupture regions. Receiver operating characteristic (ROC) analysis defining area under the curve (AUC) was performed on these three parameters. The univariate model of wall tension (AUC, 0.9750), WSS (AUC, 0.9300), curvature (0.8150) and their combined multivariate model (AUC, 0.9875) all present high AUC values. The wall tension, WSS and curvature are acceptable parameters relating to rupture regions. The rupture odd is more sensitive to the wall tension and WSS than curvature. Each logistic model is capable in discriminating ruptures from nonrupture regions, while the multivariate model is the most efficient. This article is protected by copyright. All rights reserved.

statistical means

wall tension

intracranial aneurysm

wall shear stress

rupture region

curvature

Details

Title: Subtitle: Association of local solid mechanical, hemodynamic and morphological characteristics with ruptured intracranial aneurysm
Creators: Xiaodong Zhai - International Neuroscience Institute
Peng Hu - International Neuroscience Institute
Yadong Wang - International Neuroscience Institute
Hongqi Zhang - International Neuroscience Institute
Lan Cao - Boea Wisdom (Hangzhou) Network Technology Co., Ltd., Zhejiang, Hangzhou, China
Tianming Huang - Boea Wisdom (Hangzhou) Network Technology Co., Ltd., Zhejiang, Hangzhou, China
Jia Lu - University of Iowa
Yuanming Luo - University of Iowa
Resource Type: Journal article
Publication Details: International journal for numerical methods in biomedical engineering, Vol.39(3), e3674
DOI: 10.1002/cnm.3674
PMID: 36541137
NLM abbreviation: Int J Numer Method Biomed Eng
ISSN: 2040-7939
eISSN: 2040-7947
Language: English
Electronic publication date: 12/21/2022
Date published: 03/2023
Academic Unit: Iowa Technology Institute; Mechanical Engineering
Record Identifier: 9984339457102771

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