Prediction of Post-hepatectomy Liver Failure in Patients With Hepatocellular Carcinoma Based on Radiomics Using Gd-EOB-DTPA-Enhanced MRI: The Liver Failure Model

• Published in: Frontiers in oncology Vol. 11; p. 605296
• Main Authors: Chen, Yuyan, Liu, Zelong, Mo, Yunxian, Li, Bin, Zhou, Qian, Peng, Sui, Li, Shaoqiang, Kuang, Ming
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 10.03.2021
• Subjects: hepatocellular carcinoma; magnetic resonance imaging; Oncology; post-hepatectomy liver failure; prediction model; radiomics; radiomics; magnetic resonance imaging; prediction model; post-hepatectomy liver failure; hepatocellular carcinoma

Objectives: Preoperative prediction of post-hepatectomy liver failure (PHLF) in patients with hepatocellular carcinoma (HCC) is significant for developing appropriate treatment strategies. We aimed to establish a radiomics-based clinical model for preoperative prediction of PHLF in HCC patients usin...