Deep learning nomogram based on Gd-EOB-DTPA MRI for predicting early recurrence in hepatocellular carcinoma after hepatectomy.
Meng YanXiao ZhangBin ZhangZhijun GengChuanmiao XieWei YangShuixing ZhangZhendong QiTing LinQiying KeXinming LiShutong WangXian-Yue QuanPublished in: European radiology (2023)
• Deep learning signature based on Gd-EOB-DTPA MRI was the predominant independent predictor of early recurrence for hepatocellular carcinoma (HCC) after hepatectomy. • Deep learning nomogram based on clinical factors and Gd-EOB-DTPA MRI features is promising for predicting early recurrence of HCC. • Deep learning nomogram outperformed the conventional clinical nomogram in predicting early recurrence.