Method for providing the information for prediction of non-R0 resection of advanced gastric cancer

摘要

The present invention relates to a method for providing information for predicting surgical incomplete resection of advanced gastric cancer, and more particularly, to a maximum It relates to a method of providing information for predicting surgical incomplete resection of advanced gastric cancer by combining standard intake coefficient (N_SUVmax) and tumor size information. In the present invention, the maximum standard uptake coefficient (T_SUVmax) of primary cancer, the maximum standard uptake coefficient of lymph nodes (N_SUVmax), tumor location, and tumor size obtained from F-18 FDG PET/CT of patients with advanced gastric cancer are univariate logistic regression. In the analysis, it was confirmed that it was a statistically significant correlation factor in predicting surgical incomplete resection, and finally, N_SUVmax and tumor size were confirmed to be independent predictors of surgical incomplete resection prediction through multivariate logistic regression analysis. In addition, since it was confirmed that the area under the curve (AUC) of the model made with the above two parameters was 0.827, which is the most suitable model for predicting surgical incomplete resection of advanced gastric cancer, surgical incomplete resection of advanced gastric cancer information can be effectively provided.