Developing and validating a computed tomography radiomics strategy to predict lymph node metastasis in pancreatic cancer

Figure 4 Calibration and decision curve analysis of the Radscore model. A and B: Calibration curves for the Radscore model in the training (A) and test (B) cohorts. The gray diagonal line represents perfect prediction. The blue and yellow dotted lines show the calibration performance of Radscore_P (portal venous phase) and Radscore_A (arterial phase), respectively; C and D: Decision curve analysis for the Radscore model in the training (C) and test (D) cohorts. The X-axis indicates the threshold probability, and the Y-axis shows the net clinical benefit. The gray and black lines represent treat-all and treat-none strategies, respectively. The radiomics models, particularly Radscore_P, provided higher net benefit than Radscore_A across most threshold ranges in the test cohort (D). AUC: Area under the curve.