Objective To investigate the value of CT imaging texture analysis in predicting simplified pathological types of thymic epithelial tumors(TETs).Methods The CT data from 114 patients with TETs confirmed by surgical or pathology were analyzed retrospectivel,and the types of TETs were divided into three groups,including low-risk thymoma(LRT)group,high-risk thymoma(HRT)group,and thymic carcinoma(TC)group.First,the texture parameters of CT images were extracted,and then the weighted Rad-score values were obtained,and the predictive performance of the texture features was evaluated by using the receiver operating characteristic(ROC)curve.Results There were 114 TETs patients,including 45 patients with LRT,44 patients with HRT,and 25 patients with TC.Based on CT imaging texture analysis,the area under the curve(AUC)in differentiating LRT and HRT or TC via CT plain scan,arterial phase,and venous phase were 0.776,0.885,and 0.761,respectively.In differentiating HRT from TC,the AUC of CT plain scan,arterial phase,and venous phase were 0.828,0.808,and 0.804,respectively.In differentiating thymoma from TC,the AUC of CT plain scan,arterial phase,and venous phase were 0.808,0.769,and 0.774,respectively.Conclusion CT imaging texture analysis can serve as an effective auxiliary tool for predicting the simplified pathological types of TETs,helping to develop personal-ized treatment plans for TETs patients.CT enhanced scanning of arterial phase texture parameters has the highest differential diag-nostic efficiency.