Machine learning-based ultrasound radiomics for predicting TP53 mutation status in hepatocellular carcinoma

Machine learning-based ultrasound radiomics for predicting TP53 mutation status in hepatocellular carcinoma

ObjectivesTo explore the utility of machine learning-based ultrasound radiomics for predicting TP53 gene mutation in hepatocellular carcinoma (HCC).Methods154 HCC patients with 182 lesions from 2019 to 2024 were reviewed retrospectively. All lesions were randomly split into the training set (n = 129...

Full description

Saved in:
Bibliographic Details
Main Authors: Didi Bu, Shaobo Duan, Shanshan Ren, Yujing Ma, Yuanyuan Liu, Yahong Li, Xiguo Cai, Lianzhong Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Medicine
Subjects:
radiomics
hepatocellular carcinoma
machine learning
TP53
ultrasonography
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1565618/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items