ReviewFrontiers in physiology2020
Computational Hemodynamic Modeling of Arterial Aneurysms: A Mini-Review.
Review in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 30 citations in OpenAlex.
- History and emerging trends of computational fluid dynamics applications in atherosclerosis: a bibliometric analysis and narrative review.Annals of medicine and surgery (2012) · 2026Review
- Morphology and biomechanical index predict the rupture location and rupture risk of abdominal aortic aneurysm.Scientific reports · 2025Article
- Hemodynamic predictors of rupture in abdominal aortic aneurysms: a case series using computational fluid dynamics.Frontiers in cardiovascular medicine · 2025Article
- New Trends of Personalized Medicine in the Management of Abdominal Aortic Aneurysm: A Review.Journal of personalized medicine · 2024Review
- Review
- Computational Fluid Dynamic Simulations of Cerebral Aneurysms.Advances in experimental medicine and biology · 2024Review
- Investigating the pathophysiology and evolution of internal carotid dissection: a fluid-structure interaction simulation study.Frontiers in neurology · 2024Article
- Modeling Dynamics of the Cardiovascular System Using Fluid-Structure Interaction Methods.Biology · 2023Review
- Artificial intelligence velocimetry reveals in vivo flow rates, pressure gradients, and shear stresses in murine perivascular flows.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Impact of spatial and temporal stability of flow vortices on vascular endothelial cells.Biomechanics and modeling in mechanobiology · 2023Article
- Animal models and animal-free innovations for cardiovascular research: current status and routes to be explored. Consensus document of the ESC Working Group on Myocardial Function and the ESC Working Group on Cellular Biology of the Heart.Cardiovascular research · 2022Article
- Medical Image-Based Computational Fluid Dynamics and Fluid-Structure Interaction Analysis in Vascular Diseases.Frontiers in bioengineering and biotechnology · 2022Review
- Natural history and clinical significance of aortic focal intimal flaps.Frontiers in cardiovascular medicine · 2022Article
- Differential hemodynamics between arteriovenous fistulas with or without intervention before successful use.Frontiers in cardiovascular medicine · 2022Article
- A fluid-structure interaction model accounting arterial vessels as a key part of the blood-flow engine for the analysis of cardiovascular diseases.Frontiers in bioengineering and biotechnology · 2022Article
- Underlying mechanism of hemodynamics and intracranial aneurysm.Chinese neurosurgical journal · 2021Review
- On the Potential Self-Amplification of Aneurysms Due to Tissue Degradation and Blood Flow Revealed From FSI Simulations.Frontiers in physiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Arterial aneurysms are pathological dilations of blood vessels, which can be of clinical concern due to thrombosis, dissection, or rupture. Aneurysms can form throughout the arterial system, including intracranial, thoracic, abdominal, visceral, peripheral, or coronary arteries. Currently, aneurysm diameter and expansion rates are the most commonly used metrics to assess rupture risk. Surgical or endovascular interventions are clinical treatment options, but are invasive and associated with risk for the patient. For aneurysms in locations where thrombosis is the primary concern, diameter is also used to determine the level of therapeutic anticoagulation, a treatment that increases the possibility of internal bleeding. Since simple diameter is often insufficient to reliably determine rupture and thrombosis risk, computational hemodynamic simulations are being developed to help assess when an intervention is warranted. Created from subject-specific data, computational models have the potential to be used to predict growth, dissection, rupture, and thrombus-formation risk based on hemodynamic parameters, including wall shear stress, oscillatory shear index, residence time, and anomalous blood flow patterns. Generally, endothelial damage and flow stagnation within aneurysms can lead to coagulation, inflammation, and the release of proteases, which alter extracellular matrix composition, increasing risk of rupture. In this review, we highlight recent work that investigates aneurysm geometry, model parameter assumptions, and other specific considerations that influence computational aneurysm simulations. By highlighting modeling validation and verification approaches, we hope to inspire future computational efforts aimed at improving our understanding of aneurysm pathology and treatment risk stratification.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.