ReviewHeart (British Cardiac Society)2016
Computational fluid dynamics modelling in cardiovascular medicine.
Review in Heart (British Cardiac Society), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 180 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
180 citing papers in PubMed.
- Patient-Specific Computational Fluid Dynamics of Pulmonary Arterial Hemodynamics in Dogs with and Without Pulmonic Stenosis.Animals : an open access journal from MDPI · 2026Article
- Validation of Aortic Blood Flow Simulations During Extracorporeal Circulation Using Phase Contrast Magnetic Resonance Imaging.Artificial organs · 2026Article
- Transient numerical simulation of hemodynamics in bioprosthetic heart valves: insights into valve sizing and thrombosis risk.International journal of computer assisted radiology and surgery · 2026Article
- Hemodynamic Effects of Aortic Stenosis on Coronary Flow Dynamics.Annals of biomedical engineering · 2026Article
- Blood flow patterns in patients with bicuspid aortic valve undergoing different type of aortic valve replacement-computational fluid dynamics analyses and case reports.Cardiovascular diagnosis and therapy · 2026Article
- Experimental comparisons of optical coherence tomography-based versus angiography-based time-averaged wall shear stress estimations.The international journal of cardiovascular imaging · 2026Article
- The Complex Relationship Between HDL/LDL Cholesterol, Stroke and Cardiovascular Disease.Healthcare (Basel, Switzerland) · 2026Article
- Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling.Advanced healthcare materials · 2026Review
- Article
- Total Thrombus-Formation Analysis System (T-TAS) in Aortopathies: A Conceptual and Potential Framework to Spatial Heterogeneity and Regional Context.International journal of molecular sciences · 2026Review
- Understanding the mechanisms of TAVI durability through computational modelling: a multidisciplinary review.European heart journal. Digital health · 2026Review
- Quantitative evaluation of computational fluid dynamics application development in the cardiovascular field through literature retrieval and bibliometric analysis.Biomedical engineering online · 2026Review
- Computational fluid dynamics as an objective measure for assessing congenital tracheal stenosis: Proof-of-concept study.JTCVS open · 2026Article
- Hemodynamic Analysis of Non-uniformly Calcified Aortic Valve Using a Partitioned Fluid-Structure Interaction Framework.Cardiovascular engineering and technology · 2026Article
- Case Report: Higher modelled pulmonary wall shear stress in an adult with Celoria-Patton type B aortic interruption, ventricular septal defect, and patent ductus arteriosus.Frontiers in medicine · 2026Article
- Association between the bifurcation angle and the angle of the origin of the left anterior descending with the severity of coronary artery disease.ARYA atherosclerosis · 2026Article
- Risk stratification in intermediate asymptomatic carotid artery disease: a multi-modal approach combining local flow dynamics and systemic clinical profiles.Frontiers in surgery · 2026Article
- Hemodynamic factors of aortic dilatation after thoracic endovascular aortic repair for type-B aortic dissection.Frontiers in bioengineering and biotechnology · 2026Article
- Patient-specific digital twins in aortic disease: integrating computational hemodynamics, immune profiling, and precision endovascular strategy.Frontiers in cardiovascular medicine · 2026Review
- Toward Digital Twins for Optimal Radioembolization.PET clinics · 2026Review
120 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
This paper reviews the methods, benefits and challenges associated with the adoption and translation of computational fluid dynamics (CFD) modelling within cardiovascular medicine. CFD, a specialist area of mathematics and a branch of fluid mechanics, is used routinely in a diverse range of safety-critical engineering systems, which increasingly is being applied to the cardiovascular system. By facilitating rapid, economical, low-risk prototyping, CFD modelling has already revolutionised research and development of devices such as stents, valve prostheses, and ventricular assist devices. Combined with cardiovascular imaging, CFD simulation enables detailed characterisation of complex physiological pressure and flow fields and the computation of metrics which cannot be directly measured, for example, wall shear stress. CFD models are now being translated into clinical tools for physicians to use across the spectrum of coronary, valvular, congenital, myocardial and peripheral vascular diseases. CFD modelling is apposite for minimally-invasive patient assessment. Patient-specific (incorporating data unique to the individual) and multi-scale (combining models of different length- and time-scales) modelling enables individualised risk prediction and virtual treatment planning. This represents a significant departure from traditional dependence upon registry-based, population-averaged data. Model integration is progressively moving towards 'digital patient' or 'virtual physiological human' representations. When combined with population-scale numerical models, these models have the potential to reduce the cost, time and risk associated with clinical trials. The adoption of CFD modelling signals a new era in cardiovascular medicine. While potentially highly beneficial, a number of academic and commercial groups are addressing the associated methodological, regulatory, education- and service-related challenges.
Indexed as
Identifiers
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.