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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主要な著者:	Cuiyun Wu, Shufeng Yu, Yang Zhang, Li Zhu, Shuangxi Chen, Yang Liu
フォーマット:	Artigo
言語:	Inglês
出版事項:	Frontiers Media S.A. 2022-07-01
シリーズ:	Frontiers in Oncology
主題:	hepatocellular carcinoma recurrence radiomics machine learning models nomograms
オンライン･アクセス:	https://www.frontiersin.org/articles/10.3389/fonc.2022.896002/full
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