ArticleJACC. Cardiovascular imaging2022
Understanding and Improving Risk Assessment After Myocardial Infarction Using Automated Left Ventricular Shape Analysis.
Article in JACC. Cardiovascular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed, 42 citations in OpenAlex.
- Cardiovascular magnetic resonance-derived left atrioventricular coupling index and major adverse cardiac events in patients following acute myocardial infarction.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023Trial
- Artificial intelligence fully automated myocardial strain quantification for risk stratification following acute myocardial infarction.Scientific reports · 2022Trial
- Toward noninvasive optoacoustic imaging of whole-heart dynamics in mice.Light, science & applications · 2025Article
- 3D cardiac shape analysis with variational point cloud autoencoders for myocardial infarction prediction and virtual heart synthesis.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2025Article
- The correlation between left atrial appendage morphology and thromboembolic risk in atrial fibrillation.Frontiers in stroke · 2025Review
- Left Atrial Roof Enlargement Is a Distinct Feature of Heart Failure With Preserved Ejection Fraction.Circulation. Cardiovascular imaging · 2024Article
- Motion correction and super-resolution for multi-slice cardiac magnetic resonance imaging via an end-to-end deep learning approach.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2024Article
- Comprehensive characterization of cardiac contraction for improved post-infarction risk assessment.Scientific reports · 2024Article
- Inter-study reproducibility of cardiovascular magnetic resonance-derived hemodynamic force assessments.Scientific reports · 2024Article
- Prognosis evaluation of chronic inflammatory cardiomyopathy with ring-like late gadolinium enhancement.ESC heart failure · 2023Article
- A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023Article
- Pixel-wise statistical analysis of myocardial injury in STEMI patients with delayed enhancement MRI.Frontiers in cardiovascular medicine · 2023Article
- Effector T cell chemokine IP-10 predicts cardiac recovery and clinical outcomes post-myocardial infarction.Frontiers in immunology · 2023Article
- From evidence-based medicine to digital twin technology for predicting ventricular tachycardia in ischaemic cardiomyopathy.Journal of the Royal Society, Interface · 2022Article
- Understanding and Improving Risk Assessment After Myocardial Infarction Using Automated Left Ventricular Shape Analysis.JACC. Cardiovascular imaging · 2022Article
- Le Cœur en Sabot: shape associations with adverse events in repaired tetralogy of Fallot.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022Article
- Interpretable cardiac anatomy modeling using variational mesh autoencoders.Frontiers in cardiovascular medicine · 2022Article
- Multi-Domain Variational Autoencoders for Combined Modeling of MRI-Based Biventricular Anatomy and ECG-Based Cardiac Electrophysiology.Frontiers in physiology · 2022Article
- Relationships between heart shape, function, and disease in 38,858 UK biobank participants.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic ResonanceArticle
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Authors and funding
11 authors at 7 institutions in 2 countries.
Funding
Abstract
backgroundLeft ventricular ejection fraction (LVEF) and end-systolic volume (ESV) remain the main imaging biomarkers for post-acute myocardial infarction (AMI) risk stratification. However, they are limited to global systolic function and fail to capture functional and anatomical regional abnormalities, hindering their performance in risk stratification.
objectivesThis study aimed to identify novel 3-dimensional (3D) imaging end-systolic (ES) shape and contraction descriptors toward risk-related features and superior prognosis in AMI.
methodsA multicenter cohort of AMI survivors (n = 1,021; median age 63 years; 74.5% male) who underwent cardiac magnetic resonance (CMR) at a median of 3 days after infarction were considered for this study. The clinical endpoint was the 12-month rate of major adverse cardiac events (MACE; n = 73), consisting of all-cause death, reinfarction, and new congestive heart failure. A fully automated pipeline was developed to segment CMR images, build 3D statistical models of shape and contraction in AMI, and find the 3D patterns related to MACE occurrence.
resultsThe novel ES shape markers proved to be superior to ESV (median cross-validated area under the receiver-operating characteristic curve 0.681 [IQR: 0.679-0.684] vs 0.600 [IQR: 0.598-0.602]; P < 0.001); and 3D contraction to LVEF (0.716 [IQR: 0.714-0.718] vs 0.681 [IQR: 0.679-0.684]; P < 0.001) in MACE occurrence prediction. They also contributed to a significant improvement in a multivariable setting including CMR markers, cardiovascular risk factors, and basic patient characteristics (0.747 [IQR: 0.745-0.749]; P < 0.001). Based on these novel 3D descriptors, 3 impairments caused by AMI were identified: global, anterior, and basal, the latter being the most complementary signature to already known predictors.
conclusionsThe quantification of 3D differences in ES shape and contraction, enabled by a fully automated pipeline, improves post-AMI risk prediction and identifies shape and contraction patterns related to MACE occurrence.
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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.