Cai Fenglin, Dong Yinping, Wang Pengliang, Zhang Li, Yang Yang, Liu Yong, Wang Xuejun, Zhang Rupeng, Liang Han, Sun Yan, Deng Jingyu
Department of Gastroenterology, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, P.R. China.
Department of Anesthesiology, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, P.R. China.
Surgery. 2022 May;171(5):1273-1280. doi: 10.1016/j.surg.2021.10.049. Epub 2021 Dec 2.
Treatment options for early gastric cancer have evolved toward achieving accurate evaluation of lymph node metastasis. This study aimed to investigate risk factors of lymph node metastasis in patients with early gastric cancer and establish a risk score model to guide the selection of optimal treatment.
The clinicopathological characteristics of 351 patients with early gastric cancer from January 2016 to December 2018 were reviewed retrospectively. On the basis of the independent risk factors determined by multivariate binary logistic regression analysis, we established a risk score model for predicting lymph node metastasis and then verified it. The receiver operating characteristic curves were plotted using the test and validation sets. The area under the receiver operating characteristic curve was used to assess the discriminant ability of the model.
Lymph node metastasis was observed in 10.5% (37/351) of early gastric cancer cases. Patients with early gastric cancer were grouped based on the independent risk factors for lymph node metastasis (tumor size, depth, histological type, and lymphovascular involvement) determined by multivariate analysis. A 7-point risk score model was established to predict the risk of lymph node metastasis. The area under the receiver operating characteristic curve in the development and validation sets were 0.839 (95% confidence interval, 0.769%-0.910%) and 0.820 (95% confidence interval, 0.711%-0.930%), respectively.
A feasible risk score model for lymph node metastasis was established to guide the optimal treatment of patients with early gastric cancer early gastric cancer.
早期胃癌的治疗选择已朝着实现对淋巴结转移的准确评估发展。本研究旨在探讨早期胃癌患者淋巴结转移的危险因素,并建立风险评分模型以指导最佳治疗方案的选择。
回顾性分析2016年1月至2018年12月期间351例早期胃癌患者的临床病理特征。基于多因素二元逻辑回归分析确定的独立危险因素,建立预测淋巴结转移的风险评分模型并进行验证。使用测试集和验证集绘制受试者工作特征曲线。受试者工作特征曲线下面积用于评估模型的判别能力。
在351例早期胃癌病例中,10.5%(37/351)观察到淋巴结转移。根据多因素分析确定的淋巴结转移独立危险因素(肿瘤大小、深度、组织学类型和淋巴管侵犯)对早期胃癌患者进行分组。建立了一个7分风险评分模型来预测淋巴结转移风险。开发集和验证集的受试者工作特征曲线下面积分别为0.839(95%置信区间,0.769%-0.910%)和0.820(95%置信区间,0.711%-0.930%)。
建立了一个可行的淋巴结转移风险评分模型,以指导早期胃癌患者的最佳治疗。