Introduction: To explore the role of computed tomography(CT) texture analysis in predicting T-stage of gastric cancers (GC).Methods: Preoperative enhanced CT images of 110 patients(men: 84, women: 26) with GC were reviewed retrospectively.Regions of interest were manually drawn along the margin ofthe lesion on the section where it appeared largest on the portalvenous CT images, which yielded texture parameters (1, 10,50, 90, and 99% percentiles; minimum, mean, and maximumnorm; variance; skewness, and kurtosis). Correlations betweentexture parameters and pathological stage were analysed withSpearman’s correlation test. The distributions of all variableswere checked with the aid of the Kolmogorov-Smirnov test.The Independent-Samples t-test and the Mann-Whitney Utest were used (as appropriate) to compare quantitative data.The chi-squared test was employed to compare qualitativedata. The diagnostic performance of CT texture parameters indifferentiating different stages was evaluated using receiveroperating characteristic analysis.Results: The T4 variance was significantly greater than that ofthe T1-to-T3 group (p˂0.05). The T4 skewness was significantlylower than that of the T1-to-T3 group (p˂0.05) but the T4kurtosis significantly higher (p˂0.05).Conclusion: The histogram parameters of CT-TA, especiallyskewness and kurtosis derived from portal, venous phase CTimages, may serve as biomarkers stratifying the risk of serosalinvasion (stage-T4) by locally advanced GC. Thus, histogramanalysis can be used preoperatively to evaluate serosalinvasion.