Application of multi-modality MRI-based radiomics in the pre-treatment prediction of RPS6K expression in hepatocellular carcinoma

Application of multi-modality MRI-based radiomics in the pre-treatment prediction of RPS6K expression in hepatocellular carcinoma

Abstract In this study, we aim to develop and validate a radiomics model for pretreatment prediction of RPS6K expression in hepatocellular carcinoma (HCC) patients, thus helping clinical decision-making of mTOR-inhibitor (mTORi) therapy. We retrospectively enrolled 147 HCC patients, who underwent cu...

Full description

Bibliographic Details
Main Authors: Fan Yang, Yidong Wan, Xiaoyong Shen, Yichao Wu, Lei Xu, Jinwen Meng, Jianguo Wang, Zhikun Liu, Jun Chen, Di Lu, Xue Wen, Shusen Zheng, Tianye Niu, Xiao Xu
Format: Article
Language:English
Published: Springer 2023-07-01
Series:Molecular Biomedicine
Subjects:
RPS6K expression
Hepatocellular carcinoma
Magnetic resonance imaging
Radiomics
Machine learning
Online Access:https://doi.org/10.1186/s43556-023-00133-3

Internet

https://doi.org/10.1186/s43556-023-00133-3

Similar Items