ArticleScientific reports2019
Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study.
Article in Scientific reports, 2019. 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.
- Advancing morphometric assessment of the aorta and left ventricle from dynamic CT: a deep learning-based study.European heart journal. Imaging methods and practice · 2026Article
- Relationship between left ventricular shape and cardiovascular risk factors: comparison between the Multi-Ethnic Study of Atherosclerosis and UK Biobank.Heart (British Cardiac Society) · 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
- A personalized time-resolved 3D mesh generative model for unveiling normal heart dynamics.Nature machine intelligence · 2025Article
- Sex-specific cardiovascular risk factors in the UK Biobank.Frontiers in physiology · 2024Article
- Kidney shape statistical analysis: associations with disease and anthropometric factors.BMC nephrology · 2023Article
- Learning the Hidden Signature of Fetal Arch Anatomy: a Three-Dimensional Shape Analysis in Suspected Coarctation of the Aorta.Journal of cardiovascular translational research · 2023Article
- Left ventricular anatomy in obstructive hypertrophic cardiomyopathy: beyond basal septal hypertrophy.European heart journal. Cardiovascular Imaging · 2023Article
- Correcting bias in cardiac geometries derived from multimodal images using spatiotemporal mapping.Scientific reports · 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
- Multi-Ethnic Study of Atherosclerosis: Relationship between Left Ventricular Shape at Cardiac MRI and 10-year Outcomes.Radiology · 2023Article
- A three-dimensional atlas of child's cardiac anatomy and the unique morphological alterations associated with obesity.European heart journal. Cardiovascular Imaging · 2022Article
- An Atlas-Based Analysis of Biventricular Mechanics in Tetralogy of Fallot.Statistical atlases and computational models of the heart. STACOM (Workshop) · 2022Article
- Interpretable cardiac anatomy modeling using variational mesh autoencoders.Frontiers in cardiovascular medicine · 2022Article
- New Radiomic Markers of Pulmonary Vein Morphology Associated With Post-Ablation Recurrence of Atrial Fibrillation.IEEE journal of translational engineering in health and medicine · 2022Article
- Applications of artificial intelligence in cardiovascular imaging.Nature reviews. Cardiology · 2021Review
- Computational analysis of cardiac structure and function in congenital heart disease: Translating discoveries to clinical strategies.Journal of computational science · 2021Article
- Atlas-based methods for efficient characterization of patient-specific ventricular activation patterns.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2021Article
- Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation.Circulation. Arrhythmia and electrophysiology · 2021Article
- Cardiovascular magnetic resonance imaging in the UK Biobank: a major international health research resource.European heart journal. Cardiovascular Imaging · 2021Article
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13 authors.
Funding
Abstract
Left ventricular (LV) mass and volume are important indicators of clinical and pre-clinical disease processes. However, much of the shape information present in modern imaging examinations is currently ignored. Morphometric atlases enable precise quantification of shape and function, but there has been no objective comparison of different atlases in the same cohort. We compared two independent LV atlases using MRI scans of 4547 UK Biobank participants: (i) a volume atlas derived by automatic non-rigid registration of image volumes to a common template, and (ii) a surface atlas derived from manually drawn epicardial and endocardial surface contours. The strength of associations between atlas principal components and cardiovascular risk factors (smoking, diabetes, high blood pressure, high cholesterol and angina) were quantified with logistic regression models and five-fold cross validation, using area under the ROC curve (AUC) and Akaike Information Criterion (AIC) metrics. Both atlases exhibited similar principal components, showed similar relationships with risk factors, and had stronger associations (higher AUC and lower AIC) than a reference model based on LV mass and volume, for all risk factors (DeLong p < 0.05). Morphometric variations associated with each risk factor could be quantified and visualized and were similar between atlases. UK Biobank LV shape atlases are robust to construction method and show stronger relationships with cardiovascular risk factors than mass and volume.
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