ArticleFrontiers in neurology2022
A predictive hemodynamic model based on risk factors for ruptured mirror aneurysms.
Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prediction of cerebral aneurysm rupture risk by machine learning algorithms: a systematic review and meta-analysis of 18,670 participants.Neurosurgical review · 2024Pooled it
- Computational Fluid Dynamics Approaches for Analyzing Rupture and Growth of Intracranial Aneurysms: A Systematic Review.Biomedicines · 2025Review
- Histological Analysis of Intracranial Cerebral Arteries for Elastin Thickness, Wall Thickness, and Vessel Diameters: An Atlas for Computational Modeling and a Proposed Predictive Multivariable Model of Elastin Thickness.Journal of clinical medicine · 2025Article
- Exploring the hemodynamic behavior of residual aneurysms after coiling and clipping: A computational flow dynamic analysis.Surgical neurology international · 2024Article
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Authors and funding
5 authors.
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Abstract
Objectives: To identify hemodynamic risk factors for intracranial aneurysm rupture and establish a predictive model to aid evaluation. Methods: We analyzed the hemodynamic parameters of 91 pairs of ruptured mirror aneurysms. A conditional univariate analysis was used for the continuous variables. A conditional multivariate logistic regression analysis was performed to identify the independent risk factors. Differences where Results: The conditional multivariate logistic analysis showed that the low shear area (LSA) (OR = 70.322, Conclusions: LSA, CHP (>0.087), and WSSG ratio (>893.180) were independent risk factors for aneurysm rupture. Our predictive model could aid practical evaluation.
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