A Nomogram for Pretreatment Prediction of Response to Induction Chemotherapy in Locally Advanced Hypopharyngeal Carcinoma

BackgroundInduction chemotherapy (IC) significantly improves the rate of larynx preservation; however, some patients could not benefit from it. Hence, it is of clinical importance to predict the response to IC to determine the necessity of IC. We aimed to develop a clinical nomogram for predicting t...

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Main Authors: Baoliang Guo, Fusheng Ouyang, Lizhu Ouyang, Xiyi Huang, Haixiong Chen, Tiandi Guo, Shao-min Yang, Wei Meng, Ziwei Liu, Cuiru Zhou, Qiu-gen Hu
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-12-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2020.522181/full
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spelling doaj-36029d5d3b484a108e0a1b30f4107c6b2020-12-11T15:15:02ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2020-12-011010.3389/fonc.2020.522181522181A Nomogram for Pretreatment Prediction of Response to Induction Chemotherapy in Locally Advanced Hypopharyngeal CarcinomaBaoliang Guo0Fusheng Ouyang1Lizhu Ouyang2Xiyi Huang3Haixiong Chen4Tiandi Guo5Shao-min Yang6Wei Meng7Ziwei Liu8Cuiru Zhou9Qiu-gen Hu10Department of Radiology, Shunde Hospital of Southern Medical University, Foshan, ChinaDepartment of Radiology, Shunde Hospital of Southern Medical University, Foshan, ChinaDepartment of Radiology, Shunde Hospital of Southern Medical University, Foshan, ChinaDepartment of Clinical Laboratory, The Affiliated Shunde Hospital of Guangzhou Medical University, Foshan, ChinaDepartment of Radiology, Shunde Hospital of Southern Medical University, Foshan, ChinaDepartment of Radiology, Shunde Hospital of Southern Medical University, Foshan, ChinaDepartment of Radiology, Shunde Hospital of Southern Medical University, Foshan, ChinaDepartment of Radiology, Shunde Hospital of Southern Medical University, Foshan, ChinaDepartment of Radiology, Shunde Hospital of Southern Medical University, Foshan, ChinaDepartment of Radiology, Shunde Hospital of Southern Medical University, Foshan, ChinaDepartment of Radiology, Shunde Hospital of Southern Medical University, Foshan, ChinaBackgroundInduction chemotherapy (IC) significantly improves the rate of larynx preservation; however, some patients could not benefit from it. Hence, it is of clinical importance to predict the response to IC to determine the necessity of IC. We aimed to develop a clinical nomogram for predicting the treatment response to IC in locally advanced hypopharyngeal carcinoma.MethodsWe retrospectively include a total of 127 patients with locally advanced hypopharyngeal carcinoma who underwent MRI scans prior to IC between January 2014 and December 2017. The clinical characteristics were collected, which included age, sex, tumor location, invading sites, histological grades, T-stage, N-stage, overall stage, size of the largest lymph node, neutrophil-to-lymphocyte ratio, hemoglobin concentration, and platelet count. Univariate and multivariate logistic regression was used to select the significant predictors of IC response. A nomogram was built based on the results of stepwise logistic regression analysis. The predictive performance and clinical usefulness of the nomogram were determined based on the area under the curve (AUC), calibration curve, and decision curve.ResultsAge, T-stage, hemoglobin, and platelet were four independent predictors of IC treatment response, which were incorporated into the nomogram. The AUC of the nomogram was 0.860 (95% confidence interval [CI]: 0.780-0.940), which was validated using 3-fold cross-validation (AUC, 0.864; 95% CI: 0.755-0.973). The calibration curve demonstrated good consistency between the prediction by the nomogram and actual observation. Decision curve analysis shows that the nomogram was clinically useful.ConclusionThe proposed nomogram resulted in an accurate prediction of the efficacy of IC for patients with locally advanced hypopharyngeal carcinoma.https://www.frontiersin.org/articles/10.3389/fonc.2020.522181/fulladvanced hypopharyngeal carcinomainduction chemotherapynomogrampredictionresponse
collection DOAJ
language English
format Article
sources DOAJ
author Baoliang Guo
Fusheng Ouyang
Lizhu Ouyang
Xiyi Huang
Haixiong Chen
Tiandi Guo
Shao-min Yang
Wei Meng
Ziwei Liu
Cuiru Zhou
Qiu-gen Hu
spellingShingle Baoliang Guo
Fusheng Ouyang
Lizhu Ouyang
Xiyi Huang
Haixiong Chen
Tiandi Guo
Shao-min Yang
Wei Meng
Ziwei Liu
Cuiru Zhou
Qiu-gen Hu
A Nomogram for Pretreatment Prediction of Response to Induction Chemotherapy in Locally Advanced Hypopharyngeal Carcinoma
Frontiers in Oncology
advanced hypopharyngeal carcinoma
induction chemotherapy
nomogram
prediction
response
author_facet Baoliang Guo
Fusheng Ouyang
Lizhu Ouyang
Xiyi Huang
Haixiong Chen
Tiandi Guo
Shao-min Yang
Wei Meng
Ziwei Liu
Cuiru Zhou
Qiu-gen Hu
author_sort Baoliang Guo
title A Nomogram for Pretreatment Prediction of Response to Induction Chemotherapy in Locally Advanced Hypopharyngeal Carcinoma
title_short A Nomogram for Pretreatment Prediction of Response to Induction Chemotherapy in Locally Advanced Hypopharyngeal Carcinoma
title_full A Nomogram for Pretreatment Prediction of Response to Induction Chemotherapy in Locally Advanced Hypopharyngeal Carcinoma
title_fullStr A Nomogram for Pretreatment Prediction of Response to Induction Chemotherapy in Locally Advanced Hypopharyngeal Carcinoma
title_full_unstemmed A Nomogram for Pretreatment Prediction of Response to Induction Chemotherapy in Locally Advanced Hypopharyngeal Carcinoma
title_sort nomogram for pretreatment prediction of response to induction chemotherapy in locally advanced hypopharyngeal carcinoma
publisher Frontiers Media S.A.
series Frontiers in Oncology
issn 2234-943X
publishDate 2020-12-01
description BackgroundInduction chemotherapy (IC) significantly improves the rate of larynx preservation; however, some patients could not benefit from it. Hence, it is of clinical importance to predict the response to IC to determine the necessity of IC. We aimed to develop a clinical nomogram for predicting the treatment response to IC in locally advanced hypopharyngeal carcinoma.MethodsWe retrospectively include a total of 127 patients with locally advanced hypopharyngeal carcinoma who underwent MRI scans prior to IC between January 2014 and December 2017. The clinical characteristics were collected, which included age, sex, tumor location, invading sites, histological grades, T-stage, N-stage, overall stage, size of the largest lymph node, neutrophil-to-lymphocyte ratio, hemoglobin concentration, and platelet count. Univariate and multivariate logistic regression was used to select the significant predictors of IC response. A nomogram was built based on the results of stepwise logistic regression analysis. The predictive performance and clinical usefulness of the nomogram were determined based on the area under the curve (AUC), calibration curve, and decision curve.ResultsAge, T-stage, hemoglobin, and platelet were four independent predictors of IC treatment response, which were incorporated into the nomogram. The AUC of the nomogram was 0.860 (95% confidence interval [CI]: 0.780-0.940), which was validated using 3-fold cross-validation (AUC, 0.864; 95% CI: 0.755-0.973). The calibration curve demonstrated good consistency between the prediction by the nomogram and actual observation. Decision curve analysis shows that the nomogram was clinically useful.ConclusionThe proposed nomogram resulted in an accurate prediction of the efficacy of IC for patients with locally advanced hypopharyngeal carcinoma.
topic advanced hypopharyngeal carcinoma
induction chemotherapy
nomogram
prediction
response
url https://www.frontiersin.org/articles/10.3389/fonc.2020.522181/full
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