Peer-Reviewed Publication
BMC Med Imaging2026;26(1)March 3, 2026Journal Article
Automated opportunistic cardiovascular risk assessment in non-small cell lung cancer patients on routine chest CT using an optimised nnU-net framework.
Jubril Olayinka Anifowose1,2, Zechen Li2, Girija Agarwal3, Eric O Aboagye2, Declan P O'Regan3,4,5, Ben Ariff3, Susan J Copley2,3, Mitchell Chen6,7
1Department of Medicine, Mid and South Essex NHS Foundation Trust, Prittlewell Chase, Westcliff-on-Sea, Southend-on-Sea, SS0 0RY, UK.
2Department of Surgery and Cancer, Imperial College, Du Cane Road, London, W12 0NN, UK.
3Imperial College Healthcare NHS Trust, Du Cane Road, London, W12 0NS, UK.
4MRC Laboratory of Medical Sciences, London, W12 0HS, UK.
5Institute of Clinical Sciences, Imperial College London, London, W12 0HS, UK.
6Department of Surgery and Cancer, Imperial College, Du Cane Road, London, W12 0NN, UK. d.mitch.chen@gmail.com.
7Imperial College Healthcare NHS Trust, Du Cane Road, London, W12 0NS, UK. d.mitch.chen@gmail.com.
Abstract
BACKGROUND: Cardiovascular disease (CVD) and non-small cell lung cancer (NSCLC) are the global leading causes of overall and cancer-related deaths, respectively. NSCLC patients have a higher CVD risk than the general population which is frequently underdiagnosed. Coronary artery calcification (CAC), a marker of CVD, is commonly detected on routinely acquired CT from NSCLC work-up but often not rep…
Create a free account to keep reading
Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.
Want unlimited research access? See Pro plans