〔Abstract〕 Objective To investigate the value of clinical data and qualitative and quantitative computed tomography(CT) in predicting the pathological grade of thymoma. Methods The clinical data and CT images of 81 patients with confirmed pathological diagnoses of thymoma were retrospectively analyzed. The patients were divided into low-risk and high-risk groups according to the pathological results, and the clinical features and qualitative and quantitative CT findings were compared between the groups. The efficacy of different parameters in predicting the pathological thymoma grade was evaluated by logistic univariate and multivariate regression analyses and receiver operating characteristic(ROC) curves. Results Sixty-two tumors were classified as low-risk thymoma and 19 as high-risk thymoma. The efficacies of both the maximum CT values on enhancement and maximum degree of enhancement for risk prediction were statistically significant(P<0.001). Logistic regression analysis showed that both the maximum CT values on enhancement(OR=0.88, 95% CI: 0.83-0.94) and maximum degree of enhancement(OR=0.92, 95% CI:0. 88-0. 97) were independent predictors of thymoma risk( P<0. 001). The area under the ROC curve( AUC) of the maximum CT values on enhancement was 0. 884,with a sensitivity of 68. 4% and a specificity of 96. 8%; the AUC of the maximum degree of enhancement was 0. 833,with a sensitivity of 89. 5% and a specificity of 72. 6%.Conclusion Quantitative parameters based on enhanced CT are helpful for the preoperative prediction of thymoma risk stratification. The predictive efficacy of the maximum CT values on enhancement is superior to that of the maximum degree of enhancement.