A novel dynamic nomogram based on contrast-enhanced computed tomography radiomics for prediction of glypican-3-positive hepatocellular carcinoma
Since the intra-tumor heterogeneity of HCC and potential complications brought by liver biopsy, our clinical prediction tool identified GPC3 status satisfactorily and might be helpful in clinical decision-making.
Authors
- Chunlong Zhao (ORCID: https://orcid.org/0000-0002-2417-019X)
- Jiarun Zhang (ORCID: https://orcid.org/0000-0002-8448-2937)
- Cao Shuya (ORCID: https://orcid.org/0009-0008-1119-3633)
- Cheng Wang (ORCID: https://orcid.org/0000-0002-7120-0654)
- Bing Han (ORCID: https://orcid.org/0000-0001-7559-434X)
- Zheyu Zhou (ORCID: https://orcid.org/0000-0001-7166-6799)
- Chaobo Chen (ORCID: https://orcid.org/0000-0001-5963-5295)
- Jun Chen (ORCID: https://orcid.org/0000-0002-2362-5359)
- Jiawei Xu
- Xiaoliang Xu
Institutions
- Jiangsu University (CN)
- Academy of Medical Sciences (GB)
- Anhui Medical University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- Nanjing Drum Tower Hospital (CN)
- Wuxi No.2 People's Hospital (CN)
- Jiangsu Cancer Hospital (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
- Jiangsu Province Hospital (CN)
- Wuxi People's Hospital (CN)
- Nanjing Medical University (CN)
- Academia Sinica (TW)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-10-15
- DOI
- https://doi.org/10.3389/fonc.2025.1640697
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Nanjing Drum Tower Hospital