Building radiomics models based on ACR TI-RADS combining clinical features for discriminating benign and malignant thyroid nodules
The current study offers preliminary support that the model of combined clinic-ACR score-radiomics score can be helpful for predicting malignancy in thyroid nodules by looking at a retrospective cohort of surgically treated thyroid nodules. The Clin-ACR-Rad nomogram may be a more practical instrument and more accurate prediction model for malignant thyroid nodules.
Authors
- Jiajia Lu (ORCID: https://orcid.org/0000-0002-6510-2695)
- Bin Chen (ORCID: https://orcid.org/0000-0002-8479-7840)
- Lili Zhang (ORCID: https://orcid.org/0000-0003-4723-2952)
- Xing‐Xing Chen (ORCID: https://orcid.org/0000-0003-1759-3159)
Institutions
- Wenzhou Medical University (CN)
- The First People's Hospital of Xiaoshan District, Hangzhou (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-07-21
- DOI
- https://doi.org/10.3389/fendo.2025.1486920
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36