作者
Dongsheng Gu, Yongsheng Xie, Jingwei Wei, Wencui Li, Zhaoxiang Ye, Zhongyuan Zhu, Jie Tian, Xubin Li
发表日期
2020/12
期刊
Journal of Magnetic Resonance Imaging
卷号
52
期号
6
页码范围
1679-1687
出版商
John Wiley & Sons, Inc.
简介
Background
Glypican 3 (GPC3) expression has proved to be a critical risk factor related to prognosis in hepatocellular carcinoma (HCC) patients.
Purpose
To investigate the performance of MRI‐based radiomics signature in identifying GPC3‐positive HCC.
Study Type
Retrospective.
Population
An initial cohort of 293 patients with pathologically confirmed HCC was involved in this study, and patients were randomly divided into training (195) and validation (98) cohorts.
Field Strength/Sequences
Contrast‐enhanced T1‐weight MRI was performed with a 1.5T scanner.
Assessment
A total of 853 radiomic features were extracted from the volume imaging. Univariate analysis and Fisher scoring were utilized for feature reduction. Subsequently, forward stepwise feature selection and radiomics signature building were performed based on a support vector machine (SVM). Incorporating independent risk factors, a …
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