Preoperative prediction of microvascular/nerve invasion in locally advanced gastric cancer by differentiation and enhanced CT features

The purpose of the article is to determine whether differentiation and enhanced CT features can preoperatively predict microvascular/nerve invasion in locally advanced gastric cancer. Retrospective analysis of the CT and pathological data of 325 patients with locally advanced gastric cancer confirmed by pathology in our hospital from July 2011 to August 2023. The patient's age, gender, tumor location, T stage, N stage, TNM stage, differentiation, Lauren classification, as well as tumor thickness, tumor longest diameter, plain CT value, arterial CT value, venous CT value, arterial phase enhancement rate, and venous phase enhancement rate were assessed. This study included a total of 325 patients with locally advanced gastric cancer and 189 patients (58.15%) with microvascular/nerve invasion. The results of the univariate analysis showed that gender, location, T stage, N stage, TNM stage, differentiation, Lauren classification, tumor thickness, and longest diameter of the tumor were associated with microvascular/nerve invasion (P < .05). Multivariate analysis suggested that TNM stage and differentiation were independent risk factors for microvascular/nerve invasion. The receiver operating characteristic analysis showed that the diagnostic efficacy of the combined parameter of TNM stage and differentiation was better than that of the single parameter, in which area under the curve, sensitivity, and specificity were 0.819 (95%CI: 0.770-0.867), 66.7%, and 83.8%, respectively. Differentiation and enhanced CT are helpful in predicting whether microvascular/nerve invasion occurs in locally advanced gastric cancer before operation, especially the combined parameters of TNM stage and differentiation.