ArticleScientific reports2020
Prediction of rupture risk in cerebral aneurysms by comparing clinical cases with fluid-structure interaction analyses.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- Prediction of cerebral aneurysm rupture risk by machine learning algorithms: a systematic review and meta-analysis of 18,670 participants.Neurosurgical review · 2024Pooled it
- Correlation between computational fluid dynamics-derived low wall shear stress and vessel wall enhancement on high-resolution MR vessel wall imaging in intracranial aneurysms.European radiology · 2026Article
- Toward Patient-Specific Hemodynamic Decision-Making in Cerebral Aneurysms: The Maturation of Computational Fluid Dynamics and Fluid-Structure Interaction.Neurointervention · 2026Article
- Integrating Laplace's law with patient-specific hemodynamics to predict rupture risk in unruptured intracranial aneurysms: A systematic review of a biophysical and computational framework.Surgery in practice and science · 2025Review
- Novel morphological indexes for quantitative evaluation of cerebral aneurysm irregularity.Scientific reports · 2025Article
- Investigating the role of blood models in predicting rupture status of intracranial aneurysms.Biomedical physics & engineering express · 2025Article
- Review
- Fluid structure Interaction analysis for rupture risk assessment in patients with middle cerebral artery aneurysms.Scientific reports · 2025Article
- Rupture risk assessment for AComA aneurysms with morphological, hemodynamic and structural mechanical analysis.PloS one · 2025Article
- Fluid-structure interaction in a follow-up study of arterio-venous fistula maturation.Scientific reports · 2024Article
- Fluid-Structure Interaction Simulations of the Initiation Process of Cerebral Aneurysms.Brain sciences · 2024Article
- Integrating PointNet-Based Model and Machine Learning Algorithms for Classification of Rupture Status of IAs.Bioengineering (Basel, Switzerland) · 2024Article
- Quantitative analysis of hemodynamic changes induced by the discrepancy between the sizes of the flow diverter and parent artery.Scientific reports · 2024Article
- Influence of circle of Willis modeling on hemodynamic parameters in anterior communicating artery aneurysms and recommendations for model selection.Scientific reports · 2024Article
- Proximal Clipping and Distal High-Flow Bypass in the Treatment of Giant/Complex Intracranial Aneurysm: An Opportunity or a Risk from a Fluid-Structural Interaction Analysis.Cardiovascular engineering and technology · 2024Article
- Risk factors and predictive indicators of rupture in cerebral aneurysms.Frontiers in physiology · 2024Review
- Morphology and Hemodynamics of Cerebral Arteries and Aneurysms in a Rare Pair of Monozygotic Twins.Diagnostics (Basel, Switzerland) · 2023Article
- The Current Limitations and Advanced Analysis of Hemodynamic Study of Cerebral Aneurysms.Neurointervention · 2023Review
- Influence of hydrodynamic and functional nonlinearities of blood flow in the cerebral vasculature on cerebral perfusion and autoregulation pressure reserve.Scientific reports · 2023Article
- Fluid structure interaction versus rigid-wall approach in the study of the symptomatic stenosed carotid artery: Importance of wall compliance and resilience of loose connective tissue.International journal for numerical methods in biomedical engineering · 2022Article
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cerebral aneurysms should be treated on the basis of accurate rupture risk prediction. Nowadays, the rupture risk in aneurysms has been estimated using hemodynamic parameters. In this paper, we suggest a new way to predict the rupture risks in cerebral aneurysms by using fluid-structure interaction (FSI) analysis for better decision-making regarding treatment. A patient-specific model was constructed using digital subtraction angiography of 51 cerebral aneurysms. For each model, a thin-walled area (TWA) was first predicted using computational fluid dynamics (CFD), and then the highest equivalent strain in the TWA was calculated with FSI by varying wall thicknesses and mechanical properties. A critical curve was made from 16 FSI results for each patient-specific model to estimate the rupture risk. On average, the equivalent strains of the ruptured aneurysms were higher than those of the unruptured aneurysms. Furthermore, the patterns of critical curves between unruptured and ruptured aneurysms were clearly distinguishable. From the rupture risk evaluation based on the cut-off value, 24 of the 27 unruptured aneurysms and 15 of the 24 ruptured aneurysms were matched with actual-clinical setting cases. The critical curve proposed in the present study could be an effective tool for the prediction of the rupture risk of aneurysm.
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