Multicenter study of CT-based deep learning for predicting preoperative T staging and TNM staging in clear cell renal cell carcinoma
The CT-based 3D TR-Net models showed acceptable overall performance with moderate results in advanced subclasses in preoperative ccRCC staging, with interpretable outputs and collaborative benefits, making them potentially useful decision-support tools.
Authors
- Haohan Li (ORCID: https://orcid.org/0000-0002-8286-2741)
- Wuchao Li (ORCID: https://orcid.org/0000-0003-3691-5694)
- Xiangde Min (ORCID: https://orcid.org/0000-0002-1589-6861)
- Xi Yin (ORCID: https://orcid.org/0000-0002-7224-5272)
- Tijiang Zhang (ORCID: https://orcid.org/0000-0002-5517-9226)
- Jianguo Zhu (ORCID: https://orcid.org/0000-0003-0778-7718)
- Hui Huang (ORCID: https://orcid.org/0009-0004-7836-2703)
- Heng Liu (ORCID: https://orcid.org/0000-0002-9219-3000)
- Junjie He (ORCID: https://orcid.org/0000-0002-8037-2829)
- Ming Lu (ORCID: https://orcid.org/0000-0002-1701-9133)
- Rui‐Hua Xu (ORCID: https://orcid.org/0000-0001-9771-8534)
- Rongpin Wang (ORCID: https://orcid.org/0000-0001-7587-4181)
- Xianchun Zeng (ORCID: https://orcid.org/0000-0003-0857-3834)
- Xinfeng Liu
- Tongyin Yang
Institutions
- Guiyang Medical University (CN)
- Guizhou University (CN)
- Zunyi Medical University (CN)
- Affiliated Hospital of Guizhou Medical University (CN)
- First Affiliated Hospital of Shihezi University Medical College (CN)
- Guizhou Provincial People's Hospital (CN)
- Tongji Hospital (CN)
- Affiliated Hospital of Zunyi Medical College (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-10-17
- DOI
- https://doi.org/10.1186/s12885-025-14836-z
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Guizhou Science and Technology Department