Computed tomography-based multi-organ radiomics nomogram model for predicting the risk of esophagogastric variceal bleeding in cirrhosis

Table 4 Evaluation of predictive performance in training and validation cohorts

Models	Cohort	Sensitivity	Specificity	Accuracy	PPV	NPV
Rad-score (liver)	Training	0.656	0.815	0.745	0.737	0.750
	Validation	0.643	0.686	0.667	0.621	0.706
Rad-score (spleen)	Training	0.750	0.765	0.759	0.716	0.795
	Validation	0.714	0.829	0.778	0.769	0.784
Rad-score (esophagus)	Training	0.734	0.802	0.772	0.746	0.793
	Validation	0.786	0.857	0.825	0.815	0.833
Rad-score (liver + spleen + esophagus)	Training	0.844	0.852	0.848	0.818	0.873
	Validation	0.779	0.886	0.794	0.826	0.775
Clinical model	Training	0.531	0.790	0.676	0.667	0.687
	Validation	0.571	0.686	0.635	0.600	0.667
RC model	Training	0.875	0.877	0.876	0.848	0.899
	Validation	0.821	0.857	0.841	0.821	0.857

PPV: Positive predictive value; NPV: Negative predictive value; RC model: Radiomics-clinical model.