Abstract：Objective: To investigate the influencing factors and predictive value of recurrence after radiotherapy in patients with esophageal cancer (EC). Methods: A total of 106 patients with EC who underwent radiotherapy in our hospital from January 2020 to February 2023 were selected and followed up for 2 years. They were divided into the recurrence group and the non-recurrence group according to the recurrence of EC or not. The correlation between the influencing factors and the recurrence of EC after radiotherapy was analyzed by binary Logistic regression, and ROC curve was used to evaluate its predictive performance. Results: TNM stage, carcinoembryonic antigen (CEA), cancer antigen 125 (CA125), systemic immune inflammation index (SII), and prognostic nutritional index (PNI) were the influencing factors of recurrence in patients with EC after radiotherapy (P<0.05). ROC curve analysis showed that the detection efficiency of CEA, CA125, SII, and PNI was higher, and the combined detection was higher than that of single detection. Conclusion: The recurrence of EC following radiation is closely associated with TNM stage, CEA, CA125, SII, and PNI, and the prediction effectiveness is excellent.
张惠, 范玮婧, 高静, 孙玄子, 陆珏. 食管癌放疗后复发的多因素预测模型:炎症营养与肿瘤标志物的联合价值[J]. 河北医学, 2026, 32(2): 252-258.
ZHANG Hui, FAN Weijing, GAO Jing, et al. Multifactorial Predictive Model for Esophageal Cancer Recurrence Following Radiotherapy: Combined Value of Inflammation Nutrition and Tumour Markers. HeBei Med, 2026, 32(2): 252-258.
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2026, Vol. 32 
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