ArticleJournal of the Royal Society, Interface2017
Changes and classification in myocardial contractile function in the left ventricle following acute myocardial infarction.
Article in Journal of the Royal Society, Interface, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01717573 (Randomised Controlled Study to Assess Whether Deferred Stenting in Acute STEMI Patients Might Reduce the Incidence of No-reflow Versus Conventional Treatment With Immediate Stenting), which is not on this map. Cited by 18 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.
Randomised Controlled Study to Assess Whether Deferred Stenting in Acute STEMI Patients Might Reduce the Incidence of No-reflow Versus Conventional Treatment With Immediate Stenting
Who cites it
18 citing papers in PubMed, 68 citations in OpenAlex.
- A modelling study of right ventricular growth with valvular regurgitation.Biomechanics and modeling in mechanobiology · 2026Article
- Deep Learning-Based Estimation of Myocardial Material Parameters from Cardiac MRI.Bioengineering (Basel, Switzerland) · 2025Article
- Integrated Functions of Cardiac Energetics, Mechanics, and Purine Nucleotide Metabolism.Comprehensive Physiology · 2023Article
- A stabilized linear finite element method for anisotropic poroelastodynamics with application to cardiac perfusion.Computer methods in applied mechanics and engineering · 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
- CineCT platform for in vivo and ex vivo measurement of 3D high resolution Lagrangian strains in the left ventricle following myocardial infarction and intramyocardial delivery of theranostic hydrogel.Journal of molecular and cellular cardiology · 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
- A machine learning model to estimate myocardial stiffness from EDPVR.Scientific reports · 2022Article
- A poroelastic immersed finite element framework for modelling cardiac perfusion and fluid-structure interaction.International journal for numerical methods in biomedical engineering · 2021Article
- Markov chain Monte Carlo with Gaussian processes for fast parameter estimation and uncertainty quantification in a 1D fluid-dynamics model of the pulmonary circulation.International journal for numerical methods in biomedical engineering · 2021Article
- Surrogate models based on machine learning methods for parameter estimation of left ventricular myocardium.Royal Society open science · 2021Article
- Biomechanics of infarcted left ventricle: a review of modelling.Biomedical engineering letters · 2020Review
- Effect of myofibre architecture on ventricular pump function by using a neonatal porcine heart model: from DT-MRI to rule-based methods.Royal Society open science · 2020Article
- Analysis of Cardiac Amyloidosis Progression Using Model-Based Markers.Frontiers in physiology · 2020Article
- 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
- On the AIC-based model reduction for the general Holzapfel-Ogden myocardial constitutive law.Biomechanics and modeling in mechanobiology · 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
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
In this research, we hypothesized that novel biomechanical parameters are discriminative in patients following acute ST-segment elevation myocardial infarction (STEMI). To identify these biomechanical biomarkers and bring computational biomechanics 'closer to the clinic', we applied state-of-the-art multiphysics cardiac modelling combined with advanced machine learning and multivariate statistical inference to a clinical database of myocardial infarction. We obtained data from 11 STEMI patients (ClinicalTrials.gov NCT01717573) and 27 healthy volunteers, and developed personalized mathematical models for the left ventricle (LV) using an immersed boundary method. Subject-specific constitutive parameters were achieved by matching to clinical measurements. We have shown, for the first time, that compared with healthy controls, patients with STEMI exhibited increased LV wall active tension when normalized by systolic blood pressure, which suggests an increased demand on the contractile reserve of remote functional myocardium. The statistical analysis reveals that the required patient-specific contractility, normalized active tension and the systolic myofilament kinematics have the strongest explanatory power for identifying the myocardial function changes post-MI. We further observed a strong correlation between two biomarkers and the changes in LV ejection fraction at six months from baseline (the required contractility (
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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.