Noninvasive Prediction of High Ki-67 Expression in Hepatocellular Carcinoma Using Multiparametric MRI and Clinical Biomarkers
The combined multiparametric MRI model incorporating T1HBP, TLRR2*and TBil provides a noninvasive approach for predicting high proliferative activity in HCC, representing a promising tool for preoperative risk stratification and personalized treatment planning.
Authors
- Yaqi Shen (ORCID: https://orcid.org/0000-0002-1468-1092)
- Zixiong Wang (ORCID: https://orcid.org/0009-0002-8132-3516)
- Mengqi Huang (ORCID: https://orcid.org/0000-0002-6976-9964)
- Xuemei Hu
- Yan Luo
- Fan Zhang
- Zhen Li
- Gen Chen
- Yang Yang
Institutions
- First Affiliated Hospital of Xi'an Jiaotong University (CN)
- Tongji Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Journal of Hepatocellular Carcinoma
- Published
- 2026-02-01
- DOI
- https://doi.org/10.2147/jhc.s574222
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China