Carregant...
Fitxers
Tipus de document
ArticleVersió
Versió publicadaData de publicació
Llicència de publicació
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/194201
Estimation of biological heart age using cardiovascular magnetic resonance radiomics
Títol de la revista
Director/Tutor
ISSN de la revista
Títol del volum
Recurs relacionat
Resum
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.
Matèries (anglès)
Citació
Citació
RAISI-ESTABRAGH, Zahra, SALIH, Ahmed, GKONTRA, Polyxeni, ATEHORTÚA, Angélica, RADEVA, Petia, BOSCOLO GALAZZO, Ilaria, MENEGAZ, Gloria, HARVEY, Nicholas c., LEKADIR, Karim, PETERSEN, Steffen e.. Estimation of biological heart age using cardiovascular magnetic resonance radiomics. _Scientific Reports_. 2022. Vol. 12. [consulta: 30 de gener de 2026]. ISSN: 2045-2322. [Disponible a: https://hdl.handle.net/2445/194201]