Objective：To explore the application value of the radiomics models based on T2-weighted imaging (T2WI) and Diffusion-weighted imaging (DWI) in non-invasive preoperative prediction of pituitary adenoma consistency. Methods：The clinical and preoperative MRI data of 108 patients with pathologically confirmed pituitary adenoma were retrospectively analyzed and divided into soft and hard groups based on the intraoperative assessment of tumor consistency by two neurosurgeons. The cases were randomly divided into a training cohort and a validation cohort in a ratio of 7:3.Volume of interest (VOI) were delineated manually on T2WI and DWI images.Radiomics features were extracted by FeAture Explorer software. Unsupervised Feature Selection (UFS) was used to select features. Support vector machine(SVM) was used to conduct the radiomics models.Area under curve (AUC) and calibration curve were used to assess the performance of the models. Results：In the radiomics model based on T2WI combined with DWI，the training cohort to predict pituitary adenoma consistency had an AUC of 0.89.The validation cohort had an AUC of 0.80. Calibration curve showed a good agreement between predicted and actual probabilities. Conclusion: The radiomics model based on T2WI combined with DWI showed good diagnostic performance and was promising in predicting the consistency of pituitary adenoma before surgery.