An explainable radiomics-based machine learning model for preoperative differentiation of parathyroid carcinoma and atypical tumors on ultrasound: a retrospective diagnostic study
This radiomics framework provides a promising tool to support doctors in the clinical management of parathyroid lesions.
Authors
- Baojie Wen (ORCID: https://orcid.org/0000-0001-5692-7057)
- Shuping Wei (ORCID: https://orcid.org/0009-0002-5780-8927)
- Zhengyang Zhou (ORCID: https://orcid.org/0000-0003-4728-7347)
- Li Huang (ORCID: https://orcid.org/0000-0002-3059-7122)
- Haiyan Xue
- Yidan Zhang (ORCID: https://orcid.org/0000-0001-6691-5244)
- Wenxian Li (ORCID: https://orcid.org/0000-0002-4485-7239)
- Jian He (ORCID: https://orcid.org/0000-0002-8425-3771)
- Chunrui Liu
- Gong Jin-xia
- Jing Yao (ORCID: https://orcid.org/0009-0003-8632-518X)
Institutions
- Nanjing Drum Tower Hospital (CN)
- Second Affiliated Hospital of Nanjing Medical University (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-08-11
- DOI
- https://doi.org/10.3389/fendo.2025.1617032
- Citations
- 3
- Primary Topic
- Parathyroid Disorders and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 4.29
Funders
- Nanjing University