Man or machine? Prospective comparison of the version 2018 EASL, LI-RADS criteria and a radiomics model to diagnose hepatocellular carcinoma.

Hanyu JiangXijiao LiuJie ChenYi WeiJeong Min LeeLikun CaoYuanan WuTing DuanXin LiLing MaXijiao Liu

Published in: Cancer imaging : the official publication of the International Cancer Imaging Society (2019)

In HBV-predominant high-risk patients, the multi-sequence-based MR radiomics signature, v2018 EASL and LI-RADS criteria demonstrated comparable overall accuracies for HCC.

Keyphrases

end stage renal disease
contrast enhanced
chronic kidney disease
ejection fraction
newly diagnosed
hepatitis b virus
peritoneal dialysis
prognostic factors
magnetic resonance
deep learning
computed tomography
squamous cell carcinoma
ion batteries
machine learning
psychometric properties
patient reported