An interpretable 18F-FDG PET/CT-based radiomics model for predicting sub-3cm solitary adrenal metastases in cancer patients
The interpretable radiomics model based on combined PET/CT data provides a non-invasive tool for predicting AMs in cancer patients with indeterminate adrenal nodules. By integrating features from both modalities, this approach significantly improves diagnostic performance and holds strong potential to support personalized treatment.
Authors
- Haifeng Cai
- Yongliang Liu (ORCID: https://orcid.org/0000-0002-1492-8374)
- S Q Liu
- Jingwu Li (ORCID: https://orcid.org/0009-0005-2755-1042)
- Lixiu Cao
- Yaqi Wang (ORCID: https://orcid.org/0000-0002-7261-4947)
- Chunling Liu (ORCID: https://orcid.org/0000-0001-9126-6821)
- Xingjian Wang (ORCID: https://orcid.org/0000-0003-0506-1833)
- Wenfeng Feng (ORCID: https://orcid.org/0000-0001-9007-9194)
Institutions
- Hebei Medical University (CN)
- North China University of Science and Technology (CN)
- Tangshan People's Hospital (CN)
- Second Hospital of Hebei Medical University (CN)
- TED University (TR)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-11-27
- DOI
- https://doi.org/10.3389/fonc.2025.1691842
- Primary Topic
- Adrenal and Paraganglionic Tumors
- Type
- article
- Field-Weighted Citation Impact
- 0.00