Nomogram Based on CT Radiomics Features Combined With Clinical Factors to Predict Ki-67 Expression in Hepatocellular Carcinoma

Nomogram Based on CT Radiomics Features Combined With Clinical Factors to Predict Ki-67 Expression in Hepatocellular Carcinoma

ObjectivesThe study developed and validated a radiomics nomogram based on a combination of computed tomography (CT) radiomics signature and clinical factors and explored the ability of radiomics for individualized prediction of Ki-67 expression in hepatocellular carcinoma (HCC).MethodsFirst-order, s...

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Bibliographic Details
Main Authors: Cuiyun Wu, Junfa Chen, Yuqian Fan, Ming Zhao, Xiaodong He, Yuguo Wei, Weidong Ge, Yang Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Oncology
Subjects:
hepatocellular carcinoma
Ki-67
radiomics
computed tomography
models
nomograms
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.943942/full

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