Optimizing C-TIRADS for sub-centimeter thyroid nodules using machine learning–derived feature importance
The SHAP-guided modified C-TIRADS scoring system enhances diagnostic accuracy and risk stratification for sub-centimeter thyroid nodules and may facilitate improved clinical decision-making in this challenging subset.
Authors
- Haiqing Huang (ORCID: https://orcid.org/0000-0003-1240-6641)
- Dongming Guo (ORCID: https://orcid.org/0000-0002-4439-2718)
- Jiajia Wang (ORCID: https://orcid.org/0000-0002-0219-4051)
- Zhe Chen (ORCID: https://orcid.org/0000-0003-1283-0266)
- Yuxia Zhai
- Zhihui Lin
- Xueying Liao (ORCID: https://orcid.org/0009-0002-2039-4783)
Institutions
- Shantou University (CN)
- Cancer Hospital of Shantou University Medical College (CN)
- Second Affiliated Hospital of Shantou University Medical College (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-09-26
- DOI
- https://doi.org/10.3389/fendo.2025.1668347
- Primary Topic
- Thyroid Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00