Preoperative prediction of lymphovascular and perineural invasion in gastric cancer using spectral computed tomography imaging and machine learning

Figure 6 Comprehensive analysis of predictive models. A: Individual nomogram; B: Calibration curve; C: Decision curve analysis of the training cohort; D: Receiver operating characteristic (ROC) curves of the application of the nomogram, VP-70 keV, EP-NIC, CT-T and CT-EMVI to the training cohort. The DeLong test showed that the differences were significant between the nomogram and each single independent factor; E: ROC curve of the application of the nomogram to the training cohort and the validation cohort. CT-EMVI: Computed tomography-detected extramural vein invasion; VP-70 keV: Single-energy computed tomography value of 70 keV in the venous phase; EP-NIC: Ratio of the standardized iodine concentration in the equilibrium phase; ROC: Receiver operating characteristic; AUC: Area under the receiver operating characteristic curve.