Grant: CIHR - ICR / Cancer Research Society Partnership - Research Grants

This research aims to personalize the screening of hepatocellular carcinoma and its early detection in at-risk patients. Currently, screening of early-stage hepatocellular carcinoma by ultrasound, the standard screening method in at-risk patients, is poor. This research proposes to develop an artificial intelligence system for hepatocarcinogenesis risk stratification and early detection using abbreviated MRI, which provides a more exhaustive assessment of the liver than ultrasound. The system will analyse the liver structure to identify the patients at very high risk of hepatocellular carcinoma. These very at-risk patients will be routinely screened by abbreviated MRI. This personalization of screening will increase the early detection rate and therefore the proportion of patients eligible for curative treatment, improving their survival.