Associating Preoperative MRI Features and Gene Expression Signatures of Early-stage Hepatocellular Carcinoma Patients using Machine Learning.
Xiaoming LiLin ChengChuanming LiXianling HuXiaofei HuLiang TanQing LiChen LiuJian Wang
Published in: Journal of clinical and translational hepatology (2021)
The results demonstrated that MRI radiomics features could help quantify GOLM1, SETD7, and RND1 expression levels noninvasively and predict the recurrence risk for early-stage HCC patients.