A Predictive Nomogram for Lymph Node Metastasis in Supraglottic Laryngeal Squamous Cell Carcinoma
Lulu Song1, Yu Heng1, Chi-Yao Hsueh1
1Department of Otolaryngology, Shanghai Key Clinical Disciplines of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.
Frontiers in Oncology
|March 21, 2022
Summary
This study developed a nomogram to predict lymph node metastasis in supraglottic laryngeal cancer patients. The tool uses tumor size, differentiation, and lymphocyte-monocyte ratio for improved clinical decision-making.
Area of Science:
- Oncology
- Head and Neck Surgery
- Medical Diagnostics
Background:
- Lymph node metastasis (LNM) significantly impacts survival in laryngeal squamous cell carcinoma (LSCC).
- Supraglottic LSCC frequently leads to cervical lymph node metastases due to rich lymphatic drainage.
- Accurate preoperative assessment of LNM is crucial for effective clinical management.
Purpose of the Study:
- To develop and validate a predictive nomogram for lymph node metastasis (LNM) in primary supraglottic LSCC.
- To identify independent risk factors for LNM in this patient population.
Main Methods:
- Retrospective analysis of 314 supraglottic LSCC patients (2016-2020).
- Development of a nomogram using a multivariate logistic regression model.
- Evaluation of nomogram accuracy and discrimination via C-index and calibration curves.
Main Results:
- A nomogram was constructed using tumor size, tumor differentiation degree, and lymphocyte-monocyte ratio (LMR).
- The nomogram demonstrated good discrimination with a C-index of 0.731 (training set) and 0.707 (validation set).
- Calibration curves showed close agreement between predicted and actual LNM in both training and validation cohorts.
Conclusions:
- A reliable nomogram for predicting LNM in supraglottic LSCC was successfully established.
- The nomogram incorporates routinely measured pretreatment variables.
- This tool can potentially improve the management of patients with LNM.
