ArticleScientific reports2022
Estimation of biological heart age using cardiovascular magnetic resonance radiomics.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Resting heart rate and cognitive function in ageing: Insights from a secondary data analysis.GeroScience · 2026Article
- Imaging-derived biological age across multiple organs links to mortality and aging-related health outcomes.npj aging · 2026Article
- A streamlined CMR-derived machine-learning model for estimating cardiovascular biological age: development and validation in the UK-biobank and multi-ethnic study of atherosclerosis.European heart journal. Cardiovascular Imaging · 2026Article
- Promises and challenges of AI-enabled methods for myocardial characterisation in cardiovascular magnetic resonance.Frontiers in cardiovascular medicine · 2026Review
- Cardiac left ventricular MRI texture analysis to derive texture characteristics of a healthy population: clinical implications.European radiology · 2026Article
- Mammo-AGE: deep learning estimation of breast age from mammograms.Nature communications · 2025Article
- Determinants of artificial intelligence electrocardiogram-derived age and its association with cardiovascular events and mortality: a systematic review and meta-analysis.NPJ digital medicine · 2025Article
- A comparison between radiomic biological age and chronological age in estimating kidney function.Scientific reports · 2025Article
- Article
- Biological heart and brain ageing in subjects with cardiovascular diseases.Frontiers in cardiovascular medicine · 2025Article
- Cardiac digital twins at scale from MRI: Open tools and representative models from ~ 55000 UK Biobank participants.PloS one · 2025Article
- Challenges in clinical translation of cardiac magnetic resonance imaging radiomics in non-ischemic cardiomyopathy: a narrative review.Cardiovascular diagnosis and therapy · 2024Review
- Cardiovascular Aging and Risk Assessment: How Multimodality Imaging Can Help.Diagnostics (Basel, Switzerland) · 2024Review
- DNA methylation in cardiovascular disease and heart failure: novel prediction models?Clinical epigenetics · 2024Review
- Genetics of Cardiac Aging Implicate Organ-Specific Variation.medRxiv : the preprint server for health sciences · 2024Article
- EchoAGE: Echocardiography-based Neural Network Model Forecasting Heart Biological Age.Aging and disease · 2024Article
- Leukocyte Telomere Length and Cardiac Structure and Function: A Mendelian Randomization Study.Journal of the American Heart Association · 2024Article
- Development of a multimodal kidney age prediction based on automatic segmentation CT image in patients with normal renal function.Clinical kidney journal · 2023Article
- Accelerated DNA methylation age plays a role in the impact of cardiovascular risk factors on the human heart.Clinical epigenetics · 2023Article
- Radiomic Biomarkers as a Non-Invasive Tool for Assessing Biological Age.Canadian geriatrics journal : CGJ · 2023Article
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Authors and funding
10 authors.
Funding
Abstract
We developed a novel interpretable biological heart age estimation model using cardiovascular magnetic resonance radiomics measures of ventricular shape and myocardial character. We included 29,996 UK Biobank participants without cardiovascular disease. Images were segmented using an automated analysis pipeline. We extracted 254 radiomics features from the left ventricle, right ventricle, and myocardium of each study. We then used Bayesian ridge regression with tenfold cross-validation to develop a heart age estimation model using the radiomics features as the model input and chronological age as the model output. We examined associations of radiomics features with heart age in men and women, observing sex-differential patterns. We subtracted actual age from model estimated heart age to calculate a "heart age delta", which we considered as a measure of heart aging. We performed a phenome-wide association study of 701 exposures with heart age delta. The strongest correlates of heart aging were measures of obesity, adverse serum lipid markers, hypertension, diabetes, heart rate, income, multimorbidity, musculoskeletal health, and respiratory health. This technique provides a new method for phenotypic assessment relating to cardiovascular aging; further studies are required to assess whether it provides incremental risk information over current approaches.
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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 Socratic graph.