Radiomics analysis based on dynamic contrast-enhanced MRI for predicting early recurrence after hepatectomy in hepatocellular carcinoma patients

Radiomics analysis based on dynamic contrast-enhanced MRI for predicting early recurrence after hepatectomy in hepatocellular carcinoma patients

Abstract This study aimed to develop a machine learning model based on Magnetic Resonance Imaging (MRI) radiomics for predicting early recurrence after curative surgery in patients with hepatocellular carcinoma (HCC).A retrospective analysis was conducted on 200 patients with HCC who underwent curat...

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Bibliographic Details
Main Authors: Kai-Di Wang, Ming-Jing Guan, Zi-Yang Bao, Zhe-Jin Shi, Hai-Hang Tong, Zun-Qiang Xiao, Lei Liang, Jun-Wei Liu, Guo-Liang Shen
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Hepatocellular carcinoma
Radiomics
Machine learning
Early recurrence
Online Access:https://doi.org/10.1038/s41598-025-02291-6
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https://doi.org/10.1038/s41598-025-02291-6

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