MRI radiomics model for predicting tumor immune microenvironment types and efficacy of anti-PD-1/PD-L1 therapy in hepatocellular carcinoma
The clinical-radiomics model is effective in predicting TIME types and efficacy of ICIs in HCC, potentially aiding in treatment decision-making.
Authors
- Rui Zhang (ORCID: https://orcid.org/0000-0002-8655-4017)
- Yunping Jiang
- Wei Peng (ORCID: https://orcid.org/0000-0002-5780-2157)
- Zhan Feng (ORCID: https://orcid.org/0000-0001-9496-4211)
- Yushu Shi (ORCID: https://orcid.org/0000-0001-7575-9706)
- Siying Zhang (ORCID: https://orcid.org/0000-0002-8963-1102)
- Yao Wang (ORCID: https://orcid.org/0000-0003-3199-3802)
- Junli Wang (ORCID: https://orcid.org/0000-0003-2636-7591)
- Zhi Li (ORCID: https://orcid.org/0000-0002-9377-2602)
- Feng Chen (ORCID: https://orcid.org/0000-0001-5836-0090)
- Wenbo Xiao
Institutions
- Second Affiliated Hospital of Zhejiang University (CN)
- First Affiliated Hospital Zhejiang University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2025-07-01
- DOI
- https://doi.org/10.1186/s12880-025-01751-9
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- National Natural Science Foundation of China