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

Zihang Wang; Chang Yan; Wenqing Yuan; Shuangyan Jiang; Yongxiang Jiang; Ting Chen

doi:10.3389/fneur.2024.1507082

January 7, 2025SHILAP Revista de lepidopterologíaOpen Access

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

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Key Points

To improve intracranial aneurysm rupture risk prediction by developing a multivariable logistic regression model based on high-resolution vessel wall imaging features.
Constructed a multivariable logistic regression model incorporating high-resolution vessel wall imaging (HR-VWI) features from both aneurysms and their parent arteries.
Compared the predictive accuracy of the HR-VWI-based model directly against conventional clinical scoring systems.
The multivariable HR-VWI model predicted intracranial aneurysm rupture risk with higher accuracy than conventional risk scoring systems.
Joint assessment of aneurysm and parent artery characteristics improved risk stratification to inform clinical decision-making.

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Implication

Demonstrates improved intracranial aneurysm rupture risk prediction using high-resolution vessel wall imaging, highlighting its utility over conventional scoring systems.

Abstract

The multivariate model based on HR-VWI, which incorporates aneurysm and parent artery features, provides a more accurate prediction of IA rupture risk than conventional scoring systems, offering a valuable tool for clinical decision-making.

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Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/69d8f85d17a1cc0598d190ee https://doi.org/10.3389/fneur.2024.1507082

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

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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