Contact information
Colleges
Rafail Kotronias
Clinical Research Fellow
Rafail is a Clinical Research Fellow in Cardiology and a DPhil candidate at the University of Oxford, supported by the British Heart Foundation. Building on an NIHR integrated academic-clinical training pathway, his research brings together cutting-edge coronary imaging techniques; photon-counting CT (PCCT) and optical coherence tomography (OCT), to develop advanced tools for cardiovascular phenotyping. He combines deep learning with expert-annotated datasets to investigate key mechanisms such as plaque vulnerability, myocardial injury, and reperfusion-related damage.
Through international collaborations, Rafail has trained in nanoparticle-based molecular imaging techniques, which he now aims to integrate into his work to enable deeper mechanistic investigation of coronary artery disease and myocardial injury. His overarching ambition is to harness the full potential of multimodal imaging; spanning PCCT, OCT, and molecular techniques, to drive personalised approaches to the diagnosis and treatment of acute coronary syndromes. By supporting early-phase testing of innovative therapeutics and devices, and evaluating how these technologies can be integrated into clinical care pathways, his goal is to help shape the future of precision cardiology.
Recent publications
Changes in absolute coronary blood flow and myocardial resistance after percutaneous coronary intervention.
Journal article
Marin F. et al, (2026), EuroIntervention, 22, e301 - e312
Therapeutic interventions for coronary microvascular obstruction after acute myocardial infarction: Developments and challenges.
Journal article
Maino A. et al, (2026), Pharmacol Ther
Evaluating Acute Ischemic Myocardial Injury With Photon-Counting Computed Tomography.
Journal article
Kotronias RA. et al, (2026), JACC Cardiovasc Imaging, 19, 284 - 287
Reducer migration and coronary sinus thrombosis.
Journal article
Portolan L. et al, (2025), EuroIntervention, 21, e1456 - e1457
Prediction of clinical outcomes of ST-elevated myocardial infarction patients using atmospheric solids analysis probe mass spectrometry and machine learning.
Journal article
Eardley-Brunt ASJ. et al, (2025), Analyst, 150, 4982 - 4996
