Fig. 1From: Clinical parameters combined with radiomics features of PET/CT can predict recurrence in patients with high-risk pediatric neuroblastomaWorkflow of the steps in our study. First, tumors were semi-automatically segmented by 3D Slicer. Second, radiomics features were extracted and selected by LASSO regression for further analysis. Finally, the combined model was developed based on the results of multivariate logistic regression in the training set, and the performance of the model was assessed by the ROC curve, calibration curve, and decision curve analysisBack to article page