Machine learning and Shapley Additive exPlanations to predict metastasis of lymph nodes posterior to the recurrent laryngeal nerve in cN0 papillary thyroid carcinoma
ML is a reliable tool for predicting LN-prRLN metastasis in cN0 PTC patients. The SHAP method provides insights into the XGBoost model, and the resultant web-based calculator is a clinically useful tool to assist in the surgical planning for LN-prRLN dissection.
Authors
- B Li
- Xinglin Su
- Daxue Li (ORCID: https://orcid.org/0000-0002-2701-1370)
- Song Xue (ORCID: https://orcid.org/0000-0002-6867-4672)
- Yuchen Zhuang (ORCID: https://orcid.org/0000-0003-4641-894X)
- Qing Xiao (ORCID: https://orcid.org/0000-0002-9019-937X)
- Han Gao (ORCID: https://orcid.org/0009-0001-6603-8322)
- Lin Chun (ORCID: https://orcid.org/0009-0002-6569-8211)
- Chun Huang
- Jing Zhou
- Tao Sun
- Jiahui Ren
Institutions
- University of Electronic Science and Technology of China (CN)
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Taiyuan Central Hospital (CN)
- Children's Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2026-01-07
- DOI
- https://doi.org/10.3389/fonc.2025.1673332
- Primary Topic
- Thyroid Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00