Nomograms for Prediction of High-Volume Lymph Node Metastasis in Papillary Thyroid Carcinoma Patients

• Published in: Otolaryngology-head and neck surgery Vol. 168; no. 5; p. 1054
• Main Authors: Feng, Jia-Wei, Ye, Jing, Qi, Gao-Feng, Hong, Li-Zhao, Hu, Jun, Wang, Fei, Liu, Sheng-Yong, Jiang, Yong
• Format: Journal Article
• Language: English
• Published: England 01.05.2023
• Subjects: Carcinoma, Papillary - pathology; Carcinoma, Papillary - surgery; Humans; Lymph Nodes - pathology; Lymphatic Metastasis - pathology; Nomograms; Retrospective Studies; Risk Factors; Thyroid Cancer, Papillary - pathology; Thyroid Neoplasms - pathology; Thyroid Neoplasms - surgery; chronic lymphocytic thyroiditis; lateral lymph node metastasis; nomogram; papillary thyroid carcinoma; central lymph node metastasis
• ISSN: 1097-6817
• DOI: 10.1002/ohn.161

The coexistence rate between chronic lymphocytic thyroiditis (CLT) and papillary thyroid carcinoma (PTC) is quite high. Whether CLT influences metastatic lymph nodes remains uncertain. High-volume lymph node metastasis is recommended as an unfavorable pathological feature. We aimed to investigate risk factors for high-volume central lymph node metastasis (CLNM) and lateral lymph node metastasis (LLNM) in PTC patients. Retrospective cohort study. Changzhou First People's Hospital. Clinicopathological characteristics of 1094 PTC patients who underwent surgery in our center from January 2019 to November 2021 were analyzed. The number of metastatic lymph nodes in the central compartment and lateral compartment were lower in the CLT group. We demonstrated that age, BRAF V600E, shape, and the number of foci were risk factors for high-volume CLNM in patients with CLT. For patients without CLT, sex, age, tumor size, number of foci, and margin were risk factors for high-volume CLNM. Tumor size, number of foci, location, and CLNM were all risk factors for high-volume LLNM in patients with or without CLT. Body mass index was only associated with high-volume LLNM in CLT patients. All the above factors were incorporated into nomograms, which showed perfect discriminative ability. Separate predictive systems should be used for CLT and non-CLT patients for a more accurate clinical assessment of lymph node status. Our nomograms of predicting high-volume CLNM and LLNM could facilitate risk-stratified management of PTC recurrence and treatment decisions.