ArticleInternational journal for numerical methods in biomedical engineering2017
A virtual sizing tool for mitral valve annuloplasty.
Article in International journal for numerical methods in biomedical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 46 citations in OpenAlex.
- Computational modelling of the impact of anatomical changes on ECGs in left ventricular hypertrophy.The Journal of physiology · 2025Article
- Deployment of a digital twin using the coupled momentum method for fluid-structure interaction: A case study for aortic aneurysm.Computers in biology and medicine · 2025Article
- Simulating cardiac fluid dynamics in the human heart.PNAS nexus · 2024Article
- Beyond Conventional Operations: Embracing the Era of Contemporary Minimally Invasive Cardiac Surgery.Journal of clinical medicine · 2023Review
- Application of and Prospects for 3-Dimensional Printing in Transcatheter Mitral Valve Interventions.Reviews in cardiovascular medicine · 2023Review
- Texas TriValve 1.0 : a reverse‑engineered, open model of the human tricuspid valve.Engineering with computers · 2022Article
- A Computationally Efficient Approach to Simulate Heart Rate Effects Using a Whole Human Heart Model.Bioengineering (Basel, Switzerland) · 2022Article
- Numerical biomechanics modelling of indirect mitral annuloplasty treatments for functional mitral regurgitation.Royal Society open science · 2022Article
- Establishing the Biofidelity of a Multiphysics Finite Element Model of the Human Heart.Cardiovascular engineering and technology · 2021Article
- Precision medicine in human heart modeling : Perspectives, challenges, and opportunities.Biomechanics and modeling in mechanobiology · 2021Review
- Right ventricular myocardial mechanics: Multi-modal deformation, microstructure, modeling, and comparison to the left ventricle.Acta biomaterialia · 2021Article
- Structural Responses of Integrated Parametric Aortic Valve in an Electro-Mechanical Full Heart Model.Annals of biomedical engineering · 2021Article
- Cardiovascular patient-specific modeling: Where are we now and what does the future look like?APL bioengineering · 2020Article
- Tricuspid Annuloplasty Rings: A Quantitative Comparison of Size, Nonplanar Shape, and Stiffness.The Annals of thoracic surgery · 2020Article
- Geometric description for the anatomy of the mitral valve: A review.Journal of anatomy · 2020Review
- New Insights into Valve Hemodynamics.Rambam Maimonides medical journal · 2020Review
- Machine learning in drug development: Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantification.Computer methods in applied mechanics and engineering · 2019Article
- Multiscale characterization of heart failure.Acta biomaterialia · 2019Article
- Virtual downsizing for decision support in mitral valve repair.International journal of computer assisted radiology and surgery · 2019Article
- Computational Pre-surgical Planning of Arterial Patch Reconstruction: Parametric Limits and In Vitro Validation.Annals of biomedical engineering · 2018Article
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Authors and funding
6 authors at 5 institutions in 3 countries.
Funding
Abstract
Functional mitral regurgitation, a backward leakage of the mitral valve, is a result of left ventricular growth and mitral annular dilatation. Its gold standard treatment is mitral annuloplasty, the surgical reduction in mitral annular area through the implantation of annuloplasty rings. Recurrent regurgitation rates may, however, be as high as 30% and more. While the degree of annular downsizing has been linked to improved long-term outcomes, too aggressive downsizing increases the risk of ring dehiscences and significantly impairs repair durability. Here, we prototype a virtual sizing tool to quantify changes in annular dimensions, surgically induced tissue strains, mitral annular stretches, and suture forces in response to mitral annuloplasty. We create a computational model of dilated cardiomyopathy onto which we virtually implant annuloplasty rings of different sizes. Our simulations confirm the common intuition that smaller rings are more invasive to the surrounding tissue, induce higher strains, and require larger suture forces than larger rings: The total suture force was 2.2 N for a 24-mm ring, 1.9 N for a 28-mm ring, and 0.8 N for a 32-mm ring. Our model predicts the highest risk of dehiscence in the septal and postero-lateral annulus where suture forces are maximal. These regions co-localize with regional peaks in myocardial strain and annular stretch. Our study illustrates the potential of realistic predictive simulations in cardiac surgery to identify areas at risk for dehiscence, guide the selection of ring size and shape, rationalize the design of smart annuloplasty rings and, ultimately, improve long-term outcomes after surgical mitral annuloplasty. Copyright © 2016 John Wiley & Sons, Ltd.
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