ArticleCardiovascular engineering and technology2018
Real-World Variability in the Prediction of Intracranial Aneurysm Wall Shear Stress: The 2015 International Aneurysm CFD Challenge.
Article in Cardiovascular engineering and technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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46 citing papers in PubMed.
- HUG-VAS: A Hierarchical NURBS-Based Generative Model for Aortic Geometry Synthesis and Controllable Editing.Computer methods in applied mechanics and engineering · 2026Article
- A Visual Support System for Stent-Assisted Treatment of Cerebral Aneurysms Using 3D Imaging and Augmented Reality.Neuroinformatics · 2026Article
- Graph and Geometric Deep Learning for Intracranial Aneurysm Geometry and Hemodynamics: A Systematic Review with Implications for Neurovascular Implant Design and Evaluation.Life (Basel, Switzerland) · 2026Review
- In-Vitro Evaluations of Shape Memory Polymer Scaffolds With Tunable Architecture for the Endovascular Embolization of Unruptured Intracranial Aneurysms.Journal of biomechanical engineering · 2026Article
- Quantitative evaluation of computational fluid dynamics application development in the cardiovascular field through literature retrieval and bibliometric analysis.Biomedical engineering online · 2026Review
- Comparative Analysis of Open-Source Finite Element Method Solvers for Computational Fluid Dynamics Performance in a Carotid Artery Model.Journal of biomechanical engineering · 2026Article
- Article
- AI-powered automated model construction for patient-specific CFD simulations of aortic flows.Science advances · 2025Article
- Accuracy of computational fluid dynamics indices of unruptured cerebral aneurysms with 3 T magnetic resonance angiography.Neuroradiology · 2025Article
- On the Numerical Evaluation of Wall Shear Stress Using the Finite Element Method.International journal for numerical methods in biomedical engineering · 2025Article
- Predicting Cerebral Aneurysm Rupture: The Role of Computational Fluid Dynamics.Neuroimaging clinics of North America · 2025Review
- Predictive modeling and machine learning show poor performance of clinical, morphological, and hemodynamic parameters for small intracranial aneurysm rupture.Scientific reports · 2025Article
- Fast simulation of hemodynamics in intracranial aneurysms for clinical use.Acta neurochirurgica · 2025Article
- Key influencers in an aneurysmal thrombosis model: A sensitivity analysis and validation study.APL bioengineering · 2025Article
- CFD investigations of a shape-memory polymer foam-based endovascular embolization device for the treatment of intracranial aneurysms.Biomechanics and modeling in mechanobiology · 2025Article
- Intracranial aneurysm CTA images and 3D models dataset with clinical morphological and hemodynamic data.Scientific data · 2024Article
- CFD investigations of a shape-memory polymer foam-based endovascular embolization device for the treatment of intracranial aneurysms.Research square · 2024Article
- Credibility assessment of in silico clinical trials for medical devices.PLoS computational biology · 2024Review
- Influence of circle of Willis modeling on hemodynamic parameters in anterior communicating artery aneurysms and recommendations for model selection.Scientific reports · 2024Article
- Image-based hemodynamic simulations for intracranial aneurysms: the impact of complex vasculature.International journal of computer assisted radiology and surgery · 2024Article
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55 authors.
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Abstract
purposeImage-based computational fluid dynamics (CFD) is widely used to predict intracranial aneurysm wall shear stress (WSS), particularly with the goal of improving rupture risk assessment. Nevertheless, concern has been expressed over the variability of predicted WSS and inconsistent associations with rupture. Previous challenges, and studies from individual groups, have focused on individual aspects of the image-based CFD pipeline. The aim of this Challenge was to quantify the total variability of the whole pipeline.
methods3D rotational angiography image volumes of five middle cerebral artery aneurysms were provided to participants, who were free to choose their segmentation methods, boundary conditions, and CFD solver and settings. Participants were asked to fill out a questionnaire about their solution strategies and experience with aneurysm CFD, and provide surface distributions of WSS magnitude, from which we objectively derived a variety of hemodynamic parameters.
resultsA total of 28 datasets were submitted, from 26 teams with varying levels of self-assessed experience. Wide variability of segmentations, CFD model extents, and inflow rates resulted in interquartile ranges of sac average WSS up to 56%, which reduced to < 30% after normalizing by parent artery WSS. Sac-maximum WSS and low shear area were more variable, while rank-ordering of cases by low or high shear showed only modest consensus among teams. Experience was not a significant predictor of variability.
conclusionsWide variability exists in the prediction of intracranial aneurysm WSS. While segmentation and CFD solver techniques may be difficult to standardize across groups, our findings suggest that some of the variability in image-based CFD could be reduced by establishing guidelines for model extents, inflow rates, and blood properties, and by encouraging the reporting of normalized hemodynamic parameters.
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