A radiomic model for noninvasive prediction of PD-L1 and VETC expression in hepatocellular carcinoma using enhanced abdominal CT
The radiomics model derived from enhanced abdominal CT demonstrates its potential as a noninvasive tool for predicting the expression of PD-L1 and VETC in HCC patients.
Authors
- Junrong Lu (ORCID: https://orcid.org/0000-0002-9875-4382)
- Yongcong Yan (ORCID: https://orcid.org/0000-0002-7269-764X)
- Weidong Wang (ORCID: https://orcid.org/0000-0002-3323-5397)
- Zhiyu Xiao (ORCID: https://orcid.org/0000-0002-2964-1552)
- Zhenyu Zhou (ORCID: https://orcid.org/0000-0003-2280-9962)
- G. C. Guo
- Kai Wen (ORCID: https://orcid.org/0009-0008-2464-6486)
Institutions
- Sun Yat-sen University (CN)
- Sun Yat-sen Memorial Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-12-12
- DOI
- https://doi.org/10.3389/fonc.2025.1696376
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00