ReviewJournal of cardiac surgery2014
Applications of computational modeling in cardiac surgery.
Review in Journal of cardiac surgery, 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 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.
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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.
- Physically validated mitral valve models for surgical simulation: Bridging anatomy, pathology, and practice.JTCVS open · 2026Article
- A Neural Network Finite Element Trileaflet Heart Valve Model Incorporating Multi-Body Contact.International journal for numerical methods in biomedical engineering · 2025Article
- Long-term inhaling ultrafine zinc particles increases cardiac wall stresses elevated by myocardial infarction.Biomedical engineering online · 2024Article
- Comparison of Left Ventricular Function Derived from Subject-Specific Inverse Finite Element Modeling Based on 3D ECHO and Magnetic Resonance Images.Bioengineering (Basel, Switzerland) · 2024Article
- A Predictive Toxicokinetic Model for Nickel Leaching from Vascular Stents.ACS biomaterials science & engineering · 2024Article
- Comparison of interpolation methods of predominant cardiomyocyte orientation from in vivo and ex vivo cardiac diffusion tensor imaging data.NMR in biomedicine · 2022Article
- An investigation of layer-specific tissue biomechanics of porcine atrioventricular valve anterior leaflets.Acta biomaterialia · 2019Article
- Efficient estimation of personalized biventricular mechanical function employing gradient-based optimization.International journal for numerical methods in biomedical engineering · 2018Article
- The importance of mechano-electrical feedback and inertia in cardiac electromechanics.Computer methods in applied mechanics and engineering · 2017Article
- Utility of cardiac magnetic resonance for evaluation of mitral regurgitation prior to mitral valve surgery.Journal of thoracic disease · 2017Review
- Multi-scale Modeling of the Cardiovascular System: Disease Development, Progression, and Clinical Intervention.Annals of biomedical engineering · 2016Article
- Spin echo versus stimulated echo diffusion tensor imaging of the in vivo human heart.Magnetic resonance in medicine · 2016Article
- Computational modeling of acute myocardial infarction.Computer methods in biomechanics and biomedical engineering · 2016Article
- Heterogeneous growth-induced prestrain in the heart.Journal of biomechanics · 2015Article
- Human Cardiac Function Simulator for the Optimal Design of a Novel Annuloplasty Ring with a Sub-valvular Element for Correction of Ischemic Mitral Regurgitation.Cardiovascular engineering and technology · 2015Article
- Distribution of normal human left ventricular myofiber stress at end diastole and end systole: a target for in silico design of heart failure treatments.Journal of applied physiology (Bethesda, Md. : 1985) · 2014Article
- Review of cardiac-coronary interaction and insights from mathematical modeling.WIREs mechanisms of diseaseReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Although computational modeling is common in many areas of science and engineering, only recently have advances in experimental techniques and medical imaging allowed this tool to be applied in cardiac surgery. Despite its infancy in cardiac surgery, computational modeling has been useful in calculating the effects of clinical devices and surgical procedures. In this review, we present several examples that demonstrate the capabilities of computational cardiac modeling in cardiac surgery. Specifically, we demonstrate its ability to simulate surgery, predict myofiber stress and pump function, and quantify changes to regional myocardial material properties. In addition, issues that would need to be resolved in order for computational modeling to play a greater role in cardiac surgery are discussed.
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Registered trials
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