CT-Based Radiomics Nomogram Improves Risk Stratification and Prediction of Early Recurrence in Hepatocellular Carcinoma After Partial Hepatectomy

CT-Based Radiomics Nomogram Improves Risk Stratification and Prediction of Early Recurrence in Hepatocellular Carcinoma After Partial Hepatectomy

ObjectivesTo develop and validate an intuitive computed tomography (CT)-based radiomics nomogram for the prediction and risk stratification of early recurrence (ER) in hepatocellular carcinoma (HCC) patients after partial hepatectomy.MethodsA total of 132 HCC patients treated with partial hepatectom...

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Bibliographic Details
Main Authors: Cuiyun Wu, Shufeng Yu, Yang Zhang, Li Zhu, Shuangxi Chen, Yang Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Oncology
Subjects:
hepatocellular carcinoma
recurrence
radiomics
machine learning
models
nomograms
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.896002/full

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