Computed tomography-based radiomic model for the prediction of neoadjuvant immunochemotherapy response in patients with advanced gastric cancer

Figure 7 Decision curves were generated to compare the differences in the net benefit of the various models. A: Decision curves in the training cohort; B: Decision curves in the test cohort. The X-axis indicates the threshold probability, and the Y-axis indicates the net benefit. The decision curve revealed that when the threshold probability exceeded 10%, the net benefit of the clinical application of the nomogram exceeded that of the other models in the test cohort. XGBoost: EXtreme gradient boosting; DCA: Decision curve analysis.