Correlation of short diameter of residual lymph nodes with efficacy and prognosis in esophageal squamous cell carcinoma patients undergoing chemoradiotherapy and establishment of a Nomogram model
10.3760/cma.j.cn113030-20210223-00080
- VernacularTitle:残余淋巴结短径与食管鳞癌放化疗疗效和预后相关性及Nomogram模型建立
- Author:
Yuanyuan MA
1
;
Jianhong XIA
;
Hongliang LI
;
Xinyu SU
;
Liqing ZHOU
Author Information
1. 徐州医科大学附属淮安医院，淮安市第二人民医院放射肿瘤科 223000
- Keywords:
Short diameter of residual lymph node;
Esophageal neoplasm/radiochemotherapy;
Prognosis;
Nomogram model
- From:
Chinese Journal of Radiation Oncology
2021;30(12):1244-1249
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the correlation of the short diameter of residual lymph nodes with the efficacy and prognosis of patients with esophageal squamous cell carcinoma (ESCC) undergoing chemoradiotherapy (CRT), and establish a Nomogram prediction model to predict the prognosis of ESCC patients.Methods:Clinical data of 143 ESCC patients who underwent CRT in Second People′s Hospital of Huai′an from August 2018 to September 2020 were collected. The survival analysis was conducted with Kaplan- Meier method, log-rank test and univariate prognostic analysis. Multivariate prognostic analysis was performed with Cox models. Finally, a Nomogram prediction model was established to predict the 1-year and 2-year progression-free survival (PFS) of patients, and the C-index, AUC, and calibration curve were used to evaluate the performance of the model. Results:Logistic regression analysis results showed that differentiation, TNM staging, PG-SGA scores before and after radiotherapy (RT) and short diameter of residual lymph nodes were the independent predictors of clinical efficacy of ESCC patients treated with CRT. Cox regression analysis demonstrated that differentiation, TNM staging, PG-SGA scores before and after RT and short diameter of residual lymph nodes were the independent prognostic predictors of ESCC patients undergoing CRT. Conclusions:The short diameter of residual lymph nodes is significantly correlated with the efficacy and prognosis of ESCC patients undergoing CRT. The Nomogram prediction model established after comprehensive clinical baseline characteristics is a practical and reliable tool for predicting clinical prognosis of ESCC patients.
