ArticleFrontiers in cardiovascular medicine2025
Hemodynamic predictors of rupture in abdominal aortic aneurysms: a case series using computational fluid dynamics.
Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- PACS-ILT: A proposed morphobiochemical scoring system for rupture risk stratification of asymptomatic abdominal aortic aneurysms.Journal of vascular surgery cases and innovative techniques · 2026Article
- Hemodynamic Shear Stress Patterns in Abdominal Aortic Aneurysms and Healthy Aortas: A CFD Study.Cardiovascular engineering and technology · 2026Article
- Hemodynamic Alterations Associated with Varying Aneurysm Sizes in the Aortic Arch.Bioengineering (Basel, Switzerland) · 2026Article
- Integrated Assessment of Wall Shear Stress-Related Hemodynamic Parameters in Abdominal Aortic Aneurysms: A Retrospective Cross-Sectional Study on Ruptured Cases.International journal for numerical methods in biomedical engineering · 2026Article
- Anisotropic hyperelastic properties of porcine pericardium under equibiaxial loading: implications for aortic valve design.Frontiers in bioengineering and biotechnology · 2026Article
- Using Patient-Based Computational Fluid Dynamics for Abdominal Aortic Aneurysm Assessment.Bioengineering (Basel, Switzerland) · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Abdominal aortic aneurysm (AAA) rupture is a life-threatening event traditionally predicted by aneurysm diameter. However, many clinical observations have revealed that rupture can occur even in small aneurysms, suggesting the influence of additional biomechanical factors such as hemodynamics. The aim of this case series was to perform computational fluid dynamics (CFD) analyses based on CT scans of patients with confirmed abdominal aortic aneurysm rupture and to evaluate correlations between rupture sites and hemodynamic factors derived from simulations. Methods: This study analyzed four patients with confirmed ruptured fusiform infrarenal AAAs. Three-dimensional patient-specific models were reconstructed from CT scans and simulated using SimVascular, an open-source CFD platform. Simulations incorporated pulsatile inlet flow and three-element Windkessel outlet boundary conditions to calculate the following key hemodynamic parameters: time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI), endothelial cell activation potential (ECAP), and relative residence time (RRT). Rupture sites were compared with spatial distributions of these parameters. Intraluminal thrombus (ILT) regions were estimated by overlaying flow lumen boundaries with the aneurysmal wall. Results: Rupture consistently occurred in regions of low TAWSS, high OSI, elevated ECAP, and high RRT. These sites also showed flow stagnation during systole and recirculation during diastole. ECAP demonstrated the highest spatial specificity for rupture. Overlay models revealed that ILT-prone zones corresponded with high-RRT regions and often co-localized with rupture sites. Conclusions: CFD-derived hemodynamic parameters, particularly ECAP was spatially correlated with AAA rupture sites. These findings support the utility of CFD in identifying rupture-prone regions and suggest its potential as a supplementary tool for risk stratification beyond diameter-based criteria.
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