Fig. 1

Radiomics analysis workflow. First, 164 TETs in the anterior mediastinum on CECT were collected. Second, image segmentation was used to delineate the TET lesions on the RadCloud platform, the volume of interest (VOIs) was checked manually, and the radiomics features of VOIs were calculated automatically. In addition, the two kinds of valuable radiomics features were extracted by the automated high-throughput feature analysis algorithm according to two different simplified groups in the training set. Finally, statistical analysis was applied, and ROC curve analysis was used to illustrate the prediction performance of RM for the risk subgroups of TETs