Predicting lymph node metastasis in early gastric cancer patients: development and validation of a model
Predicting lymph node metastasis in early gastric cancer patients: development and validation of a model
复制标题
预测早期胃癌患者的淋巴结转移：模型的开发和验证
DOI：
10.2217/fon-2019-0377
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发表时间：
2019-11-01
期刊：
影响因子：
3.3
通讯作者：
Wang, Quan
中科院分区：
文献类型：
--
作者：
Mu, Jianfeng;Jia, Zhifang;Wang, Quan
目的：开发并验证预测早期胃癌淋巴结转移（LNM）可能性的模型。材料和方法：LNM 预测模型是根据肿瘤的人口统计或特征 (N = 746) 通过逻辑回归开发的，然后进行内部和外部验证 (N = 126)。结果：模型筛选出淋巴管侵犯、分化类型、肿瘤直径、T分期4个变量。该模型的受试者工作特征曲线下面积在内部验证中为 0.861（95% CI：0.851-0.864），在验证集中为 0.911（95% CI：0.848-0.974）。结论：该模型显示出优异的区分和校准性能，有可能成为预测早期胃癌 LNM 风险的有用临床模型。
Aim: To develop and validate a model to predict possibility of lymph node metastasis (LNM) in early gastric cancer. Materials & methods: An LNM prediction model was developed by logistic regression based on the demographics or characteristics of the tumor (N = 746) and then internally and externally validated (N = 126). Results: Four variables, lymphovascular invasion, differentiated types, diameter of tumor and T stage were screened into the model. The area under the receiver-operating characteristic curve of the model was 0.861 (95% CI: 0.851-0.864) in internal validation and 0.911 (95% CI: 0.848-0.974) in the validation set. Conclusion: The model shows excellent discrimination and calibration performance, and is potential to be a useful clinical model to predict the risk of LNM in early gastric cancer.