Objective：To explore the application value of radiomics 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. Two neurosurgeons evaluated tumor consistency intraoperatively and categorized them into soft and hard groups. Patients were randomly divided into a training set and a validation set in a 7∶3 ratio. Volume of interest（VOI）representing the tumor solid component were manually delineated on T2WI and DWI images. Radiomics features were extracted by FeAture Explorer software. Unsupervised feature selection（UFS）was applied for feature selection. 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 combined T2WI and DWI radiomics model，the AUC for predicting the consistency of pituitary adenoma was 0.89 in the training set and 0.80 in the validation set. The calibration curve showed a good consistency between predicted and actual values. Conclusion：The combined T2WI and DWI radiomics model demonstrates good diagnostic performance and aids in preoperative prediction of the consistency of pituitary adenoma.