Deep Learning-Enhanced CTA for Noninvasive Prediction of First Variceal Haemorrhage in Cirrhosis: A Multi-Centre Study.

Background And Aims: The first variceal haemorrhage (FVH) is a life-threatening complication of liver cirrhosis that requires timely intervention; however, noninvasive tools for accurately predicting FVH remain limited. This study aimed to develop noninvasive, deep learning-enhanced computed tomographic angiography (CTA) models for early and accurate FVH prediction.

Methods: This multi-centre retrospective study included 184 cirrhotic patients (FVH: n = 107, non-FVH: n = 77) enrolled from December 2014 to May 2022.