Machine learning: predicting lymph node metastasis around the entrance point to the recurrent laryngeal nerve in cN0 papillary thyroid carcinoma
The interpretable ML model developed in this study, leveraging the RF, provides a reliable tool for preoperative and intraoperative prediction of LN-epRLN metastasis in cN0 PTC patients. This approach has the potential to guide individualized surgical planning, optimizing the balance between oncological resection completeness and functional preservation.
Authors
- Xinglin Su
- Ying Deng (ORCID: https://orcid.org/0000-0003-4643-3525)
- Chang Deng (ORCID: https://orcid.org/0000-0002-7671-3571)
- Q. Xiao
- Jie Peng
- Jing Zhou
Institutions
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Seventh People's Hospital of Shanghai (CN)
- Children's Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2026-03-02
- DOI
- https://doi.org/10.3389/fendo.2026.1721148
- Primary Topic
- Thyroid Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Chongqing Municipal Health Commission
- Bethune Charitable Foundation
- Chongqing Municipal Education Commission
- Centre Scientifique et Technique du Bâtiment