ArticleJournal of cardiovascular translational research2018
Predicting the Time Course of Ventricular Dilation and Thickening Using a Rapid Compartmental Model.
Article in Journal of cardiovascular translational research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Multiscale model calibrated with a Bayesian algorithm predicts long-term outcomes of treatments for mitral valve regurgitation in animal models.Biomechanics and modeling in mechanobiology · 2026Article
- Modeling the interplay of sex hormones in cardiac hypertrophic signaling.PLoS computational biology · 2025Article
- Developing cardiac biomechanical models beyond the clinic: modeling stressors of daily life.Biomechanics and modeling in mechanobiology · 2025Review
- Contributions of mechanical loading and hormonal changes to eccentric hypertrophy during volume overload: A Bayesian analysis using logic-based network models.PLoS computational biology · 2025Article
- Computational model of coarctation of the aorta in rabbits suggests persistent ascending aortic remodeling post-correction.Biomechanics and modeling in mechanobiology · 2025Article
- Synergistic biophysics and machine learning modeling to rapidly predict cardiac growth probability.Computers in biology and medicine · 2025Article
- Rapid estimation of left ventricular contractility with a physics-informed neural network inverse modeling approach.Artificial intelligence in medicine · 2024Article
- Multiscale Finite Element Modeling of Left Ventricular Growth in Simulations of Valve Disease.Annals of biomedical engineering · 2024Article
- Synergistic Biophysics and Machine Learning Modeling to Rapidly Predict Cardiac Growth Probability.bioRxiv : the preprint server for biology · 2024Article
- Computational model captures cardiac growth in hypertensive pregnancies and in the postpartum period.American journal of physiology. Heart and circulatory physiology · 2024Article
- Mechanisms of coronary sinus reducer for treatment of myocardial ischemia: in silico study.Journal of applied physiology (Bethesda, Md. : 1985) · 2024Article
- A multiscale finite element model of left ventricular mechanics incorporating baroreflex regulation.Computers in biology and medicine · 2024Article
- Simulation of coronary capillary transit time based on full vascular model of the heart.Computer methods and programs in biomedicine · 2024Article
- Understanding heterogeneous mechanisms of heart failure with preserved ejection fraction through cardiorenal mathematical modeling.PLoS computational biology · 2023Article
- The impact of thickness heterogeneity on soft tissue biomechanics: a novel measurement technique and a demonstration on heart valve tissue.Biomechanics and modeling in mechanobiology · 2023Article
- A Computational Model of Ventricular Dimensions and Hemodynamics in Growing Infants.Journal of biomechanical engineering · 2023Article
- Computational analysis of ventricular mechanics in hypertrophic cardiomyopathy patients.Scientific reports · 2023Article
- Computational modelling of multi-temporal ventricular-vascular interactions during the progression of pulmonary arterial hypertension.Journal of the Royal Society, Interface · 2022Article
- Individual variability in animal-specific hemodynamic compensation following myocardial infarction.Journal of molecular and cellular cardiology · 2022Article
- Multiscale simulations of left ventricular growth and remodeling.Biophysical reviews · 2021Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The ability to predict long-term growth and remodeling of the heart in individual patients could have important clinical implications, but the time to customize and run current models makes them impractical for routine clinical use. Therefore, we adapted a published growth relation for use in a compartmental model of the left ventricle (LV). The model was coupled to a circuit model of the circulation to simulate hemodynamic overload in dogs. We automatically tuned control and acute model parameters based on experimentally reported hemodynamic data and fit growth parameters to changes in LV dimensions from two experimental overload studies (one pressure, one volume). The fitted model successfully predicted the reported time course of LV dilation and thickening not only in independent studies of pressure and volume overload but also following myocardial infarction. Implemented in MATLAB on a desktop PC, the model required just 6 min to simulate 3 months of growth.
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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.