International Journal of Radiation Research

en Establishment of nomogram prediction model for distant metastasis of nasopharyngeal carcinoma after radiotherapy Radiation Biology Radiation Biology تحقيق بديع Original Research <div style="text-align: justify;">Background: The research aims to construct a nomograph model for predicting distant metastasis of nasopharyngeal carcinoma after radiotherapy, and to evaluate the differentiation and consistency of the model. Materials and Methods: 292 nasopharyngeal carcinoma patients are selected and broken into a modeling group (204 cases) and a validation group (88 cases). The modeling group patients are further divided into a distant metastasis group (n=45) and a non-distant metastasis group (n=159). Logistic regression analysis is used to analyze the risk factors for distant metastasis of nasopharyngeal carcinoma after radiotherapy. Radiation therapy is performed on each group of patients and their lactate dehydrogenase, serum albumin, carcinoembryonic antigen are compared. Results: The proportion of age ≥ 60 years old, lymph node cystic invasion, laryngeal lymph node metastasis, T3-T4 staging, and N2-N3 staging in the distant metastasis group were higher than those in the non-distant metastasis group (P<0.05). Multiple logistic regression analysis denoted that age ≥ 60 years old, lymph node cystic invasion, laryngeal lymph node metastasis, T3-T4 stage, N2-N3 stage were risk factors for distant metastasis of nasopharyngeal carcinoma after radiotherapy (P<0.05). The Hosmer Limeshow goodness of fit test showed that the modeling group 2=5.489, P=0.601; Validation group 2=5.231, P=0.733. The areas under the receiver operating characteristic curves of the modeling group and the validation group were 0.828 and 0.822, respectively. Conclusion: The model constructed in this study for forecasting the risk of distant metastasis of nasopharyngeal carcinoma after radiotherapy has high prediction accuracy, good consistency, differentiation, and clinical applicability.</div> Nasopharyngeal carcinoma, radiotherapy, distant metastasis, nomogram, prediction model. 373 378 http://ijrr.com/browse.php?a_code=A-10-1-1184&slc_lang=en&sid=1 Y. Fan 7900319475328460027010 7900319475328460027010 No Department of ENT, Shenzhen Shekou People's Hospital, Shenzhen, 518000, China M. Hui Huiminglang@126.com 7900319475328460027011 7900319475328460027011 Yes Department of ENT, Affiliated Hospital Of Guangdong Medical University, Zhenjiang, 524001, China F. Li 7900319475328460027012 7900319475328460027012 No Department of ENT, Affiliated Hospital Of Guangdong Medical University, Zhenjiang, 524001, China Y. Chen 7900319475328460027013 7900319475328460027013 No Department of ENT, Shenzhen Shekou People's Hospital, Shenzhen, 518000, China J. Liu 7900319475328460027014 7900319475328460027014 No Department of ENT, Shenzhen Shekou People's Hospital, Shenzhen, 518000, China C. Huang 7900319475328460027015 7900319475328460027015 No Department of ENT, Shenzhen Shekou People's Hospital, Shenzhen, 518000, China