ArticleJournal of applied physiology (Bethesda, Md. : 1985)2014
Distribution of normal human left ventricular myofiber stress at end diastole and end systole: a target for in silico design of heart failure treatments.
Article in Journal of applied physiology (Bethesda, Md. : 1985), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.
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Who cites it
62 citing papers in PubMed, 1 synthesis or guideline pooled it, 138 citations in OpenAlex.
- Imaging technologies for cardiac fiber and heart failure: a review.Heart failure reviews · 2018Pooled it
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- Stimuli-responsive 4D-bioprinted constructs for musculoskeletal tissue regeneration: Shape-morphing mechanisms, cell-laden bioink engineering, and preclinical outcomes.Regenerative therapy · 2026Review
- Patient-Specific In Silico Prediction of Outcomes of Partial Continuous-Flow LVAD Treatment in Peripartum Cardiomyopathy.International journal for numerical methods in biomedical engineering · 2026Article
- The influence of successful septal myectomy on myocardial stress distributions in the left ventricle: a computational analysis.Biomedical engineering online · 2026Article
- Inverse analysis of patient-specific parameters of a 3D-0D closed-loop cardiovascular model with an exemplary application to an adult tetralogy of Fallot case.Biomechanics and modeling in mechanobiology · 2025Article
- Regional heterogeneity in left atrial stiffness impacts passive deformation in a cohort of patient-specific models.PLoS computational biology · 2025Article
- 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
- The role of computational methods in cardiovascular medicine: a narrative review.Translational pediatrics · 2024Review
- A biomechanics-based parametrized cardiac end-diastolic pressure-volume relationship for accurate patient-specific calibration and estimation.Scientific reports · 2023Article
- Robust and efficient fixed-point algorithm for the inverse elastostatic problem to identify myocardial passive material parameters and the unloaded reference configuration.Journal of computational physics · 2022Article
- A Computationally Efficient Approach to Simulate Heart Rate Effects Using a Whole Human Heart Model.Bioengineering (Basel, Switzerland) · 2022Article
- Sensitivity analysis and inverse uncertainty quantification for the left ventricular passive mechanics.Biomechanics and modeling in mechanobiology · 2022Article
- Patient-Specific Inverse Modeling of In Vivo Cardiovascular Mechanics with Medical Image-Derived Kinematics as Input Data: Concepts, Methods, and Applications.Applied sciences (Basel, Switzerland) · 2022Article
- Free-form optimization of nanophotonic devices: from classical methods to deep learning.Nanophotonics (Berlin, Germany) · 2022Review
- An Integrated Workflow for Building Digital Twins of Cardiac Electromechanics-A Multi-Fidelity Approach for Personalising Active Mechanics.Mathematics (Basel, Switzerland) · 2022Article
- Lyotropic Liquid Crystals: A Biocompatible and Safe Material for Local Cardiac Application.Pharmaceutics · 2022Article
- Material property alterations for phenotypes of heart failure with preserved ejection fraction: A numerical study of subject-specific porcine models.Frontiers in bioengineering and biotechnology · 2022Article
- Personalization of biomechanical simulations of the left ventricle by in-vivo cardiac DTI data: Impact of fiber interpolation methods.Frontiers in physiology · 2022Article
- A coupling strategy for a first 3D-1D model of the cardiovascular system to study the effects of pulse wave propagation on cardiac function.Computational mechanics · 2022Article
2 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
Abstract
Ventricular wall stress is believed to be responsible for many physical mechanisms taking place in the human heart, including ventricular remodeling, which is frequently associated with heart failure. Therefore, normalization of ventricular wall stress is the cornerstone of many existing and new treatments for heart failure. In this paper, we sought to construct reference maps of normal ventricular wall stress in humans that could be used as a target for in silico optimization studies of existing and potential new treatments for heart failure. To do so, we constructed personalized computational models of the left ventricles of five normal human subjects using magnetic resonance images and the finite-element method. These models were calibrated using left ventricular volume data extracted from magnetic resonance imaging (MRI) and validated through comparison with strain measurements from tagged MRI (950 ± 170 strain comparisons/subject). The calibrated passive material parameter values were C0 = 0.115 ± 0.008 kPa and B0 = 14.4 ± 3.18; the active material parameter value was Tmax = 143 ± 11.1 kPa. These values could serve as a reference for future construction of normal human left ventricular computational models. The differences between the predicted and the measured circumferential and longitudinal strains in each subject were 3.4 ± 6.3 and 0.5 ± 5.9%, respectively. The predicted end-diastolic and end-systolic myofiber stress fields for the five subjects were 2.21 ± 0.58 and 16.54 ± 4.73 kPa, respectively. Thus these stresses could serve as targets for in silico design of heart failure treatments.
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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.