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A Predictive Nomogram for Lymph Node Metastasis in Supraglottic Laryngeal Squamous Cell Carcinoma
PURPOSE: Lymph node metastasis (LNM) has a negative impact on the survival of patients with laryngeal squamous cell carcinoma (LSCC). Supraglottic LSCC is the most common cause of cervical lymph node metastases due to the extensive submucosal lymphatic plexus. The accurate evaluation of LNM before s...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924667/ https://www.ncbi.nlm.nih.gov/pubmed/35311100 http://dx.doi.org/10.3389/fonc.2022.786207 |
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author | Song, Lulu Heng, Yu Hsueh, Chi-Yao Huang, Huiying Tao, Lei Zhou, Liang Zhang, Ming |
author_facet | Song, Lulu Heng, Yu Hsueh, Chi-Yao Huang, Huiying Tao, Lei Zhou, Liang Zhang, Ming |
author_sort | Song, Lulu |
collection | PubMed |
description | PURPOSE: Lymph node metastasis (LNM) has a negative impact on the survival of patients with laryngeal squamous cell carcinoma (LSCC). Supraglottic LSCC is the most common cause of cervical lymph node metastases due to the extensive submucosal lymphatic plexus. The accurate evaluation of LNM before surgery can inform improved decisions in the clinic. In this study, we aimed to construct a nomogram to predict LNM in primary supraglottic LSCC patients. METHODS: The data from 314 patients with clinico-pathological confirmed supraglottic LSCC who underwent partial or total laryngectomy in our department from 2016 to 2020 were retrospectively analyzed (243 cases in the training set and 71 cases in the validation set). A multivariate logistic regression model was used to screen out independent risk factors and a nomogram was established. The accuracy and discrimination ability of the nomogram was evaluated using a consistency index and calibration curves. RESULTS: Tumor size, tumor differentiation degree and LMR (lymphocyte-monocyte ratio) were selected to construct the nomogram. The C-index was 0.731 in the training set and 0.707 in the validation set. The calibration curves of the training and validation group both exhibited close agreement between the predicted and the actual presence of LNM. CONCLUSIONS: A nomogram was established based on routinely measured pretreatment variables and the predicted results improved the management of patients with LNM. |
format | Online Article Text |
id | pubmed-8924667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89246672022-03-17 A Predictive Nomogram for Lymph Node Metastasis in Supraglottic Laryngeal Squamous Cell Carcinoma Song, Lulu Heng, Yu Hsueh, Chi-Yao Huang, Huiying Tao, Lei Zhou, Liang Zhang, Ming Front Oncol Oncology PURPOSE: Lymph node metastasis (LNM) has a negative impact on the survival of patients with laryngeal squamous cell carcinoma (LSCC). Supraglottic LSCC is the most common cause of cervical lymph node metastases due to the extensive submucosal lymphatic plexus. The accurate evaluation of LNM before surgery can inform improved decisions in the clinic. In this study, we aimed to construct a nomogram to predict LNM in primary supraglottic LSCC patients. METHODS: The data from 314 patients with clinico-pathological confirmed supraglottic LSCC who underwent partial or total laryngectomy in our department from 2016 to 2020 were retrospectively analyzed (243 cases in the training set and 71 cases in the validation set). A multivariate logistic regression model was used to screen out independent risk factors and a nomogram was established. The accuracy and discrimination ability of the nomogram was evaluated using a consistency index and calibration curves. RESULTS: Tumor size, tumor differentiation degree and LMR (lymphocyte-monocyte ratio) were selected to construct the nomogram. The C-index was 0.731 in the training set and 0.707 in the validation set. The calibration curves of the training and validation group both exhibited close agreement between the predicted and the actual presence of LNM. CONCLUSIONS: A nomogram was established based on routinely measured pretreatment variables and the predicted results improved the management of patients with LNM. Frontiers Media S.A. 2022-03-02 /pmc/articles/PMC8924667/ /pubmed/35311100 http://dx.doi.org/10.3389/fonc.2022.786207 Text en Copyright © 2022 Song, Heng, Hsueh, Huang, Tao, Zhou and Zhang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Song, Lulu Heng, Yu Hsueh, Chi-Yao Huang, Huiying Tao, Lei Zhou, Liang Zhang, Ming A Predictive Nomogram for Lymph Node Metastasis in Supraglottic Laryngeal Squamous Cell Carcinoma |
title | A Predictive Nomogram for Lymph Node Metastasis in Supraglottic Laryngeal Squamous Cell Carcinoma |
title_full | A Predictive Nomogram for Lymph Node Metastasis in Supraglottic Laryngeal Squamous Cell Carcinoma |
title_fullStr | A Predictive Nomogram for Lymph Node Metastasis in Supraglottic Laryngeal Squamous Cell Carcinoma |
title_full_unstemmed | A Predictive Nomogram for Lymph Node Metastasis in Supraglottic Laryngeal Squamous Cell Carcinoma |
title_short | A Predictive Nomogram for Lymph Node Metastasis in Supraglottic Laryngeal Squamous Cell Carcinoma |
title_sort | predictive nomogram for lymph node metastasis in supraglottic laryngeal squamous cell carcinoma |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924667/ https://www.ncbi.nlm.nih.gov/pubmed/35311100 http://dx.doi.org/10.3389/fonc.2022.786207 |
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