Fig. 5From: A Delta-radiomics model for preoperative evaluation of Neoadjuvant chemotherapy response in high-grade osteosarcomaThe calibration curve of the developed radiomics nomogram in the training dataset (a) and validation dataset (b). Calibration curves depict the calibration of each model according to the agreement between the predicted probability of pathologic good response (pGR) and actual outcomes of the pGR rate. The y-axis represents the actual rate of pGR. The x-axis represents the predicted probability of pGR. The diagonal black line represents an ideal prediction. The red line represents the performance of the radiomics nomogram, of which a closer fit to the diagonal black line represents a better prediction. Decision curve analysis (DCA) for the radiomics nomogram in both training (c) and validation cohorts (d). The y-axis indicates the net benefit; x-axis indicates threshold probability. The red line represents the radiomics nomogram. The gray line represents the hypothesis that all patients showed pGR. The black line represents the hypothesis that no patients showed pGRBack to article page