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Paper Details

A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.
Eur Heart J
226
2019
CD31, COL1A1, Coronary inflammation, FAI, FRP, TNFA, acute myocardial infarction, coronary, coronary PVAT, coronary artery disease, coronary stenosis, genes, participants, patient, patients, perivascular
Author NameAffiliation
Evangelos K OikonomouUniversity of Oxford, John Radcliffe Hospital
Evangelos K OikonomouJohn Radcliffe Hospital
John DeanfieldNational Centre for Cardiovascular Prevention and Outcomes, Institute of Cardiovascular Science, University College London
Jemma C HopewellClinical Trial Service Unit, University of Oxford, Big Data Institute
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Release 1.2