Contact information
Kenneth Chan
Clinical Research Fellow in Cardiology
I am a Clinical Research Fellow in cardiology supported by the British Heart Foundation. My research focuses on non-invasive imaging of the heart, vessels and fat tissue using Computed Tomography (CT) scans. I also manage the international collaboration and analysis of health information from >200,000 patients in the Oxford Risk Factors and Non-Invasive imaging (ORFAN) study. Using machine learning techniques, I aim to extract the hidden prognostic information from routinely performed imaging tests beyond their current diagnostic role, in order to understand, treat and prevent cardiovascular disease.
Recent publications
Non-invasive assessment of coronary inflammation improves the diagnostic accuracy of coronary death in post-mortem CT angiography.
Journal article
Xie C. et al, (2026), J Cardiovasc Comput Tomogr
Pictorial review: A Step-by-step Guide to Coronary CT Angiography with Photon-Counting Detector CT.
Journal article
Xie C. et al, (2026), Br J Radiol
Controlled Hyperventilation Using a New Ventilation Navigator Software – a Feasibility Study to Provoke Hypocapnia and Respiratory Alkalosis A proposal for coronary artery vasoreactivity assessment
Journal article
Kardos A. et al, (2026), European Heart Journal - Imaging Methods and Practice
Assessing Cardiometabolic Risk Through Epicardial Adipose Tissue Imaging
Journal article
Chan K. and Oikonomou E., (2026), JACC Cardiovascular Imaging
Standard and Ultrahigh Resolution Photon-Counting Coronary CTA-Derived FFR Against Invasive FFR Assessment.
Journal article
Portolan L. et al, (2026), JACC Cardiovasc Imaging
