Trial reportAnnals of biomedical engineering2017
Non-invasive Model-Based Assessment of Passive Left-Ventricular Myocardial Stiffness in Healthy Subjects and in Patients with Non-ischemic Dilated Cardiomyopathy.
Trial report in Annals of biomedical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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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.
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Who cites it
15 citing papers in PubMed.
- Advancing clinical translation of cardiac biomechanics models: a comprehensive review, applications and future pathways.Frontiers in physics · 2023Article
- Physical model of end-diastolic and end-systolic pressure-volume relationships of a heart.Frontiers in physiology · 2023Article
- Sensitivity analysis and inverse uncertainty quantification for the left ventricular passive mechanics.Biomechanics and modeling in mechanobiology · 2022Article
- Bayesian optimisation for efficient parameter inference in a cardiac mechanics model of the left ventricle.International journal for numerical methods in biomedical engineering · 2022Article
- A guide for assessment of myocardial stiffness in health and disease.Nature cardiovascular research · 2022Review
- Developing a biomechanical model-based elasticity imaging method for assessing hormone receptor positive breast cancer treatment-related myocardial stiffness changes.Journal of medical imaging (Bellingham, Wash.) · 2021Article
- An Implementation of Patient-Specific Biventricular Mechanics Simulations With a Deep Learning and Computational Pipeline.Frontiers in physiology · 2021Article
- Efficient Ventricular Parameter Estimation Using AI-Surrogate Models.Frontiers in physiology · 2021Article
- An efficient and accurate method for modeling nonlinear fractional viscoelastic biomaterials.Computer methods in applied mechanics and engineering · 2020Article
- Article
- Dobutamine stress testing in patients with Fontan circulation augmented by biomechanical modeling.PloS one · 2020Article
- Optimization Framework for Patient-Specific Cardiac Modeling.Cardiovascular engineering and technology · 2019Article
- Fast parameter inference in a biomechanical model of the left ventricle by using statistical emulation.Journal of the Royal Statistical Society. Series C, Applied statistics · 2019Article
- Gaussian process emulation to accelerate parameter estimation in a mechanical model of the left ventricle: a critical step towards clinical end-user relevance.Journal of the Royal Society, Interface · 2019Article
- Left Ventricular Diastolic Myocardial Stiffness and End-Diastolic Myofibre Stress in Human Heart Failure Using Personalised Biomechanical Analysis.Journal of cardiovascular translational research · 2018Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Patient-specific modelling has emerged as a tool for studying heart function, demonstrating the potential to provide non-invasive estimates of tissue passive stiffness. However, reliable use of model-derived stiffness requires sufficient model accuracy and unique estimation of model parameters. In this paper we present personalised models of cardiac mechanics, focusing on improving model accuracy, while ensuring unique parametrisation. The influence of principal model uncertainties on accuracy and parameter identifiability was systematically assessed in a group of patients with dilated cardiomyopathy ([Formula: see text]) and healthy volunteers ([Formula: see text]). For all cases, we examined three circumferentially symmetric fibre distributions and two epicardial boundary conditions. Our results demonstrated the ability of data-derived boundary conditions to improve model accuracy and highlighted the influence of the assumed fibre distribution on both model fidelity and stiffness estimates. The model personalisation pipeline-based strictly on non-invasive data-produced unique parameter estimates and satisfactory model errors for all cases, supporting the selected model assumptions. The thorough analysis performed enabled the comparison of passive parameters between volunteers and dilated cardiomyopathy patients, illustrating elevated stiffness in diseased hearts.
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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.