Literature DB >> 33566179

A nomogram for predicting occult lymph node metastasis in early hypopharyngeal cancer with cN0.

Xiaohui Yuan1, Chi-Yao Hsueh1, Ming Zhang1, Lei Tao1, Liang Zhou2.   

Abstract

PURPOSE: To explore the risk factors of cervical occult lymph node metastasis (OLNM) in early cN0 hypopharyngeal squamous cell carcinoma (HPSCC), and construct a nomogram model to predict the risk of OLNM in patients with early cN0 HPSCC.
METHODS: 78 cases of early (T1-T2) HPSCC patients who underwent hypopharyngectomy were retrospectively analyzed. Univariate and multivariate logistic regression analyses were used to determine independent risk factors and a nomogram was constructed according to the results of the multivariate logistic regression analysis. Model performance was assessed by constructing a receiver operating characteristic (ROC) curve, and discriminatory capacity assessed using the area under the curve (AUC). Calibration was completed using a plotted calibration curve accompanied by the Hosmer-Lemeshow test.
RESULTS: Multivariate logistic regression analysis revealed that age (OR 0.928, 95% CI 0.863-0.997), history of drinking (OR 6.668, 95% CI 1.724-25.788), histological differentiation of tumor (OR 7.269, 95% CI 1.000-52.820), depth of invasion (OR 5.046, 95% CI 1.281-19.874) were independent risk factors of OLNM in early cN0 HPSCC. The ROC curve had an AUC of 0.811 (95% CI 0.713-0.909), which implies good discriminate capacity. The calibration curve and the Hosmer-Lemeshow test (P = 0.972) demonstrated good model fitted and high calibration.
CONCLUSION: A nomogram model based on age, drinking history, histological differentiation of tumor, and depth of tumor invasion was successfully developed to predict occult cervical lymph node metastasis in patients with early cN0 hypopharyngeal cancer.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.

Entities:  

Keywords:  Hypopharyngeal squamous cell carcinoma; Lymph node metastasis; Nomogram; cN0

Year:  2021        PMID: 33566179     DOI: 10.1007/s00405-021-06648-1

Source DB:  PubMed          Journal:  Eur Arch Otorhinolaryngol        ISSN: 0937-4477            Impact factor:   2.503


  23 in total

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Authors:  Guzi Wang; Xiaoguang Li; Li Li; Dayu Liu; Ruijie Sun; Qiu Zhang; Chenchen Geng; Haitong Gong; Xiaoqian Gao
Journal:  Oncol Lett       Date:  2019-09-30       Impact factor: 2.967

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