Yan Chen,1,2,* Shaohua Chen,2,* Yujia Mei,3 Fengwei Wang,4 Teng Wei,2 Changyuan Wei1 

1Department of Breast and Thyroid Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People’s Republic of China; 2Department of Breast and Thyroid Surgery, Liuzhou People’s Hospital Affiliated to Guangxi Medical University, Liuzhou, Guangxi, People’s Republic of China; 3Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China; 4Health Management Centre, Liuzhou People’s Hospital Affiliated to Guangxi Medical University, Liuzhou, Guangxi, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Changyuan Wei, Email changyuanwei@gxmu.edu.cn

Objective: This study aimed to develop and validate a nomogram for predicting occult lateral neck lymph node metastasis (LLNM) in patients with pN1a papillary thyroid carcinoma (PTC), addressing the clinical controversy surrounding prophylactic lateral neck dissection (PLND).
Methods: A retrospective analysis was conducted on 128 pN1a PTC patients who underwent total thyroidectomy with bilateral central lymph node dissection and ipsilateral PLND between 2020 and 2023. Clinical and pathological data, including tumor location, size, capsular invasion, and nodal status, were collected. Least Absolute Shrinkage and Selection Operator (LASSO) regression and multivariate logistic regression were employed to identify independent risk factors for lymph node metastasis (LNM). A nomogram was constructed based on these factors and internally validated using bootstrap resampling (B=1000). External validation was performed on an additional 37 patients treated between 2023 and 2024.
Results: Tumor location in the upper pole (odds ratio [OR]: 2.45), size > 10 mm (OR: 2.12), and capsular invasion (OR: 1.89) were identified as independent predictors of occult LLNM. The nomogram demonstrated robust discriminative ability, with an area under the curve (AUC) of 0.826 (95% confidence interval [CI]: 0.736– 0.916) in internal validation and 0.858 (95% CI: 0.740– 0.975) in external validation. Calibration curves indicated excellent agreement between predicted and observed outcomes. Decision curve analysis confirmed the model’s clinical utility for threshold probabilities exceeding 25%.
Conclusion: The proposed nomogram effectively stratifies the risk of occult LLNM in pN1a PTC patients, providing a valuable tool for individualized surgical planning. By integrating tumor-specific features, this model aids in selecting patients who may benefit from PLND while minimizing overtreatment and associated complications. Further multicenter studies are warranted to enhance its generalizability.

Keywords: papillary thyroid cancer, predictive model, lymph node dissection, occult metastasis