Trial reportAnnals of biomedical engineering2014
Accuracy of computational cerebral aneurysm hemodynamics using patient-specific endovascular measurements.
Trial report in Annals of biomedical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed.
- MRI-based shear stress profiles in subclinical carotid atherosclerosis - A feasibility study.PLOS digital health · 2026Article
- Hemodynamic and patient-level considerations in inferior mesenteric artery aneurysm management.Journal of vascular surgery cases and innovative techniques · 2026Article
- Endothelial Cell Transcription Modulation in Cerebral Aneurysms After Endovascular Flow Diversion.Annals of biomedical engineering · 2024Article
- Standardized viscosity as a source of error in computational fluid dynamic simulations of cerebral aneurysms.Medical physics · 2024Article
- Improving the accuracy of computational fluid dynamics simulations of coiled cerebral aneurysms using finite element modeling.Journal of biomechanics · 2023Article
- A Novel Patient-Specific Computational Fluid Dynamics Study of the Activation of Primary Collateral Pathways in the Circle of Willis During Vasospasm.Journal of biomechanical engineering · 2023Article
- Modeling Flow in Cerebral Aneurysm After Coils Embolization Treatment: A Realistic Patient-Specific Porous Model Approach.Cardiovascular engineering and technology · 2023Article
- Endothelial Responses to Curvature-Induced Flow Patterns in Engineered Cerebral Aneurysms.Journal of biomechanical engineering · 2023Article
- Review of Biomedical Applications of Contactless Imaging of Neonates Using Infrared Thermography and Beyond.Methods and protocols · 2018Review
- Phase-contrast MRI versus numerical simulation to quantify hemodynamical changes in cerebral aneurysms after flow diverter treatment.PloS one · 2018Article
- Efficient simulation of a low-profile visualized intraluminal support device: a novel fast virtual stenting technique.Chinese neurosurgical journal · 2018Article
- A Highly Automated Computational Method for Modeling of Intracranial Aneurysm Hemodynamics.Frontiers in physiology · 2018Article
- Computational fluid dynamics of cerebral aneurysm coiling using high-resolution and high-energy synchrotron X-ray microtomography: comparison with the homogeneous porous medium approach.Journal of neurointerventional surgery · 2017Article
- Computational Modeling of Venous Sinus Stenosis in Idiopathic Intracranial Hypertension.AJNR. American journal of neuroradiology · 2016Article
- Predictive modeling and in vivo assessment of cerebral blood flow in the management of complex cerebral aneurysms.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2016Review
- In vitro validation of endovascular Doppler-derived flow rates in models of the cerebral circulation.Physiological measurement · 2015Article
- Leveraging Patient-Specific Simulated Angiograms to Characterize Cerebral Aneurysm Hemodynamics using Computational Fluid Dynamics.Proceedings of SPIE--the International Society for Optical EngineeringArticle
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Computational hemodynamic simulations of cerebral aneurysms have traditionally relied on stereotypical boundary conditions (such as blood flow velocity and blood pressure) derived from published values as patient-specific measurements are unavailable or difficult to collect. However, controversy persists over the necessity of incorporating such patient-specific conditions into computational analyses. We perform simulations using both endovascularly-derived patient-specific and typical literature-derived inflow and outflow boundary conditions. Detailed three-dimensional anatomical models of the cerebral vasculature are developed from rotational angiography data, and blood flow velocity and pressure are measured in situ by a dual-sensor pressure and velocity endovascular guidewire at multiple peri-aneurysmal locations in 10 unruptured cerebral aneurysms. These measurements are used to define inflow and outflow boundary conditions for computational hemodynamic models of the aneurysms. The additional in situ measurements which are not prescribed in the simulation are then used to assess the accuracy of the simulated flow velocity and pressure drop. Simulated velocities using patient-specific boundary conditions show good agreement with the guidewire measurements at measurement locations inside the domain, with no bias in the agreement and a random scatter of ≈25%. Simulated velocities using the simplified, literature-derived values show a systematic bias and over-predicted velocity by ≈30% with a random scatter of ≈40%. Computational hemodynamics using endovascularly measured patient-specific boundary conditions have the potential to improve treatment predictions as they provide more accurate and precise results of the aneurysmal hemodynamics than those based on commonly accepted reference values for boundary conditions.
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