摘要
<strong>Background:</strong> <span style="font-family:""><span style="font-family:Verdana;">Clinicopathological and biological features are associated with neck lymph node metastasis (LNM) of hypopharyngeal squamous cell carcinoma (HSCC). However, there is no complete nomogram combining multiple factors that can be used to accurately predict the neck LNM status for HSCC patients. </span><b><span style="font-family:Verdana;">Purpose:</span></b><span style="font-family:Verdana;"> To guide the selection of surgical methods and radiotherapy areas for hypopharyngeal cancer. In this study, a nomogram was developed to combine these risk factors to predict neck LNM and guide the treatment of HSCC. </span><b><span style="font-family:Verdana;">Material and Methods: </span></b><span style="font-family:Verdana;">This retrospective study included 117 patients (training cohort, 64 patients;trial cohort, 53 patients). Biological characteristics of HSCC patients were assessed using immunohistochemical staining, and data of patient age, gender, and preoperative computed tomography (CT) scan reports were collected. Significant risk factors in univariate analysis were further identified to be independent variables in multivariate logistic regression analysis, which were then incorporated in and presented with a nomogram by using the rms package in R software. Receiver operating characteristic (ROC) curves and calibration curves were used to validate the discrimination and accuracy in the training and validation cohorts, respectively, and clinical usefulness was verified in decision curve analysis curves. </span><b><span style="font-family:Verdana;">Results: </span></b><span style="font-family:Verdana;">All variables with P-values < 0.2 in the univariate analysis were selected for multivariate logistic regression analysis to further identify independent risk factors for neck LNM. In multivariate logistic regression analysis, variables with P-values < 0.2 were identified as independent risk factors and then used to construct the nomo
<strong>Background:</strong> <span style="font-family:""><span style="font-family:Verdana;">Clinicopathological and biological features are associated with neck lymph node metastasis (LNM) of hypopharyngeal squamous cell carcinoma (HSCC). However, there is no complete nomogram combining multiple factors that can be used to accurately predict the neck LNM status for HSCC patients. </span><b><span style="font-family:Verdana;">Purpose:</span></b><span style="font-family:Verdana;"> To guide the selection of surgical methods and radiotherapy areas for hypopharyngeal cancer. In this study, a nomogram was developed to combine these risk factors to predict neck LNM and guide the treatment of HSCC. </span><b><span style="font-family:Verdana;">Material and Methods: </span></b><span style="font-family:Verdana;">This retrospective study included 117 patients (training cohort, 64 patients;trial cohort, 53 patients). Biological characteristics of HSCC patients were assessed using immunohistochemical staining, and data of patient age, gender, and preoperative computed tomography (CT) scan reports were collected. Significant risk factors in univariate analysis were further identified to be independent variables in multivariate logistic regression analysis, which were then incorporated in and presented with a nomogram by using the rms package in R software. Receiver operating characteristic (ROC) curves and calibration curves were used to validate the discrimination and accuracy in the training and validation cohorts, respectively, and clinical usefulness was verified in decision curve analysis curves. </span><b><span style="font-family:Verdana;">Results: </span></b><span style="font-family:Verdana;">All variables with P-values < 0.2 in the univariate analysis were selected for multivariate logistic regression analysis to further identify independent risk factors for neck LNM. In multivariate logistic regression analysis, variables with P-values < 0.2 were identified as independent risk factors and then used to construct the nomo
作者
Chunhui Hu
Yuqian Wu
Jiaojiao Tong
Ying Zhang
Dianshui Sun
Chunhui Hu;Yuqian Wu;Jiaojiao Tong;Ying Zhang;Dianshui Sun(Department of Cancer, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China;Department of Respiratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China)
