Magnetic resonance imaging-based deep learning model for prediction of the neoadjuvant chemotherapy response and survival prognosis in adolescents with osteosarcoma

Figure 3 Evaluation of predictive performances for response to neoadjuvant chemotherapy for the integrated nomogram model in adolescents and young adults with osteosarcoma. A: Nomogram model combining significant clinical variables, age at diagnosis and tumor location, and the deep learning-based signature generated from the best deep learning-magnetic resonance imaging model considering area under the receiver operating characteristics curve of the testing cohort among all models; B: Receiver operating characteristic curves for the predictive performance of integrated nomogram model for response to neoadjuvant chemotherapy in the training and testing cohorts, respectively; C: Curves of the calibration analysis for the integrated nomogram model for response to neoadjuvant chemotherapy in the training and testing cohorts, respectively; D: The decision curve analysis of the integrated nomogram model for response to neoadjuvant chemotherapy. DL: Deep learning; ROC: Receiver operating characteristic.