Integrating CEUS Imaging Features and LI-RADS Classification for Postoperative Early Recurrence Prediction in Solitary Hepatocellular Carcinoma: A Machine Learning-Based Prognostic Approach

Integrating CEUS Imaging Features and LI-RADS Classification for Postoperative Early Recurrence Prediction in Solitary Hepatocellular Carcinoma: A Machine Learning-Based Prognostic Approach

Li Liang,1,2,* Jinshu Pang,1,* Bulin Zhang,2 Qiao Que,1 Ruizhi Gao,1 Yuquan Wu,1 Jinbo Peng,1 Wei Zhang,2 Xiumei Bai,1 Rong Wen,1 Yun He,1 Hong Yang1 1Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autono...

Full description

Saved in:
Bibliographic Details
Main Authors: Liang L, Pang J, Zhang B, Que Q, Gao R, Wu Y, Peng J, Zhang W, Bai X, Wen R, He Y, Yang H
Format: Article
Language:English
Published: Dove Medical Press 2025-07-01
Series:Journal of Hepatocellular Carcinoma
Subjects:
Hepatocellular carcinoma
CEUS
LI-RADS
Early recurrence
Machine learning
Prognostic modeling
Online Access:https://www.dovepress.com/integrating-ceus-imaging-features-and-li-rads-classification-for-posto-peer-reviewed-fulltext-article-JHC
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items