Deep learning radiomic analysis in the prediction of MYCN status and survival outcome in children with neuroblastoma

Figure 4 Kaplan-Meier survival curves on event-free survival of MYCN amplification status for patients with neuroblastoma in the training and testing cohorts. A: Kaplan-Meier survival curves of nomogram model-predicted results, non-amplified vs amplified MYCN status, in the training and testing cohorts, respectively. Predicted probabilities (Pi) are the total points that derive from independent variables in the integrated nomogram model for differentiating non-amplified and amplified MYCN status. The optimal cut-off point of Pi was -1.996, defined by X-tile software, which indicated Pi ≤ -1.996 is considered as non-amplified MYCN status, and Pi > -1.996 is considered as amplified MYCN status; B: Kaplan-Meier survival curves of histopathological results, non-amplified vs amplified MYCN status, in the training and testing cohorts, respectively.