The purpose of our study was to build and evaluate clinical-radiomics nomograms for the preoperative differentiation of SC and SGCT. We compared individual features and mixed features based on CT and MRI respectively. And we also added clinical data to compare these models in terms of their performance of distinguishing SC and SGCT. Our results reveal that the model based on DWI features had the highest performance among individual scans. Mixed CT features performed better than individual scan, while mixed MR features achieved a low performance. Radiomics model can perform better when combined with clinical data.