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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| Format: | Article |
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Frontiers Media S.A.
2020-12-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2020.522181/full |
| _version_ | 1818645919629836288 |
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| 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 |
| 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 |
| collection | DOAJ |
| 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. |
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| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-17T00:38:24Z |
| publishDate | 2020-12-01 |
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| series | Frontiers in Oncology |
| spelling | doaj.art-36029d5d3b484a108e0a1b30f4107c6b2022-12-21T22:10:05ZengFrontiers 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 |
| 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 |
| title | 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_short | 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 |
| 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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