The new age of radiomic risk profiling: perivascular fat at the heart of the matter
- 11 October 2019
- journal article
- editorial
- Published by Oxford University Press (OUP) in European Heart Journal
- Vol. 40 (43), 3544-3546
- https://doi.org/10.1093/eurheartj/ehz717
Abstract
This editorial refers to 'A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography'(dagger), by E.K. Oikonomou et al., on page 3529.This publication has 10 references indexed in Scilit:
- A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiographyEuropean Heart Journal, 2019
- PD-L1 expression on nonclassical monocytes reveals their origin and immunoregulatory functionScience Immunology, 2019
- Immunotherapy for cardiovascular diseaseEuropean Heart Journal, 2019
- The role of adipose tissue in cardiovascular health and diseaseNature Reviews Cardiology, 2018
- Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome dataThe Lancet, 2018
- Metabolomic profiling of atherosclerotic plaques: towards improved cardiovascular risk stratificationEuropean Heart Journal, 2018
- Altered metabolism distinguishes high-risk from stable carotid atherosclerotic plaquesEuropean Heart Journal, 2018
- Pericardial Adipose Tissue Regulates Granulopoiesis, Fibrosis, and Cardiac Function After Myocardial InfarctionJournal of the American College of Cardiology, 2018
- Artery Tertiary Lymphoid Organs Control Multilayered Territorialized Atherosclerosis B-Cell Responses in Aged ApoE
−/−
MiceArteriosclerosis, Thrombosis, and Vascular Biology, 2016
- Atherosclerosis: current pathogenesis and therapeutic optionsNature Medicine, 2011