Table 5.

Performance of the models in the case of all the patients

Model	Cut-off		Accuracy(95% CI）	Sensitivity	Specificity	PPV	NPV	AUC
Clinical model	0.19	Training	80% [0.73,0.88]	0.70	0.87	0.78	0.82	0.84
		Test	66% [0.52,0.79]	0.50	0.77	0.58	0.70	0.77
Single-slice radiomics model	−0.43	Training	78% [0.69,0.85]	0.83	0.75	0.67	0.88	0.84
		Test	65% [0.50,0.78]	0.62	0.67	0.57	0.71	0.75
Full-volume radiomics model	−0.49	Training	79% [0.71,0.86]	0.81	0.78	0.70	0.87	0.85
		Test	82% [0.69,0.92]	0.90	0.77	0.72	0.92	0.84
Combinded model (clinical+full vol radiomics)	−0.93	Training	87% [0.79,0.92]	0.96	0.81	0.76	0.97	0.93
		Test	84% [0.71,0.93]	0.71	1.00	1.00	0.74	0.92

AUC, area under the curve; NPV, negative-predictive value; PPV, positive-predictive value.