ArticleAJNR. American journal of neuroradiology2015
Hemodynamic Differences in Intracranial Aneurysms before and after Rupture.
Article in AJNR. American journal of neuroradiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Machine Learning Algorithms to Predict the Risk of Rupture of Intracranial Aneurysms: a Systematic Review.Clinical neuroradiology · 2025Pooled it
- What does computational fluid dynamics tell us about intracranial aneurysms? A meta-analysis and critical review.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020Pooled it
- Machine Learning-Based Reduced-Order Prediction of Rupture-Related Hemodynamics in Cerebral Aneurysms with Surface Blebs: A Pilot Study.Journal of imaging informatics in medicine · 2026Article
- Deep learning-based fine-grained assessment of aneurysm wall characteristics using 4D-CT angiography.PeerJ · 2025Article
- Description of the local hemodynamic environment in intracranial aneurysm wall subdivisions.International journal for numerical methods in biomedical engineering · 2024Article
- Integrating PointNet-Based Model and Machine Learning Algorithms for Classification of Rupture Status of IAs.Bioengineering (Basel, Switzerland) · 2024Article
- A deep-learning method for the end-to-end prediction of intracranial aneurysm rupture risk.Patterns (New York, N.Y.) · 2023Article
- Image-derived Metrics Quantifying Hemodynamic Instability Predicted Growth of Unruptured Intracranial Aneurysms.Stroke (Hoboken, N.J.) · 2023Article
- Solitonic Windkessel Model for Intracranial Aneurysm.Brain sciences · 2022Article
- Knowledge framework and emerging trends in intracranial aneurysm magnetic resonance angiography: a scientometric analysis from 2004 to 2020.Quantitative imaging in medicine and surgery · 2021Article
- Machine Learning Classification of Cerebral Aneurysm Rupture Status with Morphologic Variables and Hemodynamic Parameters.Radiology. Artificial intelligence · 2020Article
- Identification of Vortex Cores in Cerebral Aneurysms on 4D Flow MRI.AJNR. American journal of neuroradiology · 2019Article
- Hemodynamic changes in a middle cerebral artery aneurysm at follow-up times before and after its rupture: a case report and a review of the literature.Neurosurgical review · 2017Review
- Low wall shear stress is associated with the rupture of intracranial aneurysm with known rupture point: case report and literature review.BMC neurology · 2016Review
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeRupture risk of intracranial aneurysms may depend on hemodynamic characteristics. This has been assessed by comparing hemodynamic data of ruptured and unruptured aneurysms. However, aneurysm geometry may change before, during, or just after rupture; this difference causes potential changes in hemodynamics. We assessed changes in hemodynamics in a series of intracranial aneurysms, by using 3D imaging before and after rupture. MATERIALS AND
methodsFor 9 aneurysms in 9 patients, we used MRA, CTA, and 3D rotational angiography before and after rupture to generate geometric models of the aneurysm and perianeurysmal vasculature. Intra-aneurysmal hemodynamics were simulated by using computational fluid dynamics. Two neuroradiologists qualitatively assessed flow complexity, flow stability, inflow concentration, and flow impingement in consensus, by using flow-velocity streamlines and wall shear stress distributions.
resultsHemodynamics changed in 6 of the 9 aneurysms. The median time between imaging before and after rupture was 678 days (range, 14-1461 days) in these 6 cases, compared with 151 days (range, 34-183 days) in the 3 cases with unaltered hemodynamics. Changes were observed for flow complexity (n = 3), flow stability (n = 3), inflow concentration (n = 2), and region of flow impingement (n = 3). These changes were in all instances associated with aneurysm displacement due to rupture-related hematomas, growth, or newly formed lobulations.
conclusionsHemodynamic characteristics of intracranial aneurysms can be altered by geometric changes before, during, or just after rupture. Associations of hemodynamic characteristics with aneurysm rupture obtained from case-control studies comparing ruptured with unruptured aneurysms should therefore be interpreted with caution.
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