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Analyses of High-Risk Factors for Cervical Lymph Node Metastasis in Laryngeal Squamous Cell Carcinoma and Establishment of Nomogram Prediction Model

Luying Chen, Weibin Weng, Wen Wang, Jian-Fu Chen

2020Ear Nose & Throat Journal20 citationsDOIOpen Access PDF

Abstract

Laryngeal squamous cell carcinoma (LSCC) is one of the most common laryngeal tumors, and its incidence is increasing yearly; however, whether lymph node dissection should be performed during surgery remains unclear. We retrospectively analyzed the clinical and pathological data of 246 cases of LSCC and developed a nomogram for the prediction of lymph node metastasis (LNM) of LSCC. The predictive performance and consistency of the model were evaluated using the consistency coefficient (C-index) and calibration curve, respectively. Among 246 cases of LSCC, 52 cases had metastasis with a positivity rate of 21.14%. Multivariate analyses showed that dysphagia, clinical T stage, and pathological differentiation were independent risk factors for LNM in LSCC. The accuracy of the contour map used to predict the risk for LNM was 0.809. Overall, this nomogram model can be used to evaluate LNM in patients with LSCC before surgery to decide whether to conduct neck dissection and improve patient prognosis.

Topics & Concepts

NomogramMedicinePathologicalStage (stratigraphy)Lymph nodeNeck dissectionT-stageOncologyMetastasisRadiologyInternal medicineLymph node metastasisMultivariate analysisIncidence (geometry)Dissection (medical)CarcinomaCancerPhysicsOpticsBiologyPaleontologyHead and Neck Cancer StudiesCancer-related molecular mechanisms researchRadiomics and Machine Learning in Medical Imaging
Analyses of High-Risk Factors for Cervical Lymph Node Metastasis in Laryngeal Squamous Cell Carcinoma and Establishment of Nomogram Prediction Model | Litcius