Table 3.

Performance of the Clinical Model, Radiomics Model, and Clinical Model in the Training Cohort, Test Cohort and validation Cohort.

Different Models		AUC	SEN	SPE	ACC	F1	PPV	NPV	FNR	FDR	FPR
Radiomics Model	Train Cohort	0.887	0.885	0.716	0.812	0.842	0.802	0.828	0.115	0.198	0.284
	Test Cohort	0.787	0.756	0.563	0.671	0.721	0.689	0.643	0.244	0.311	0.438
	Validation Cohort	0.793	0.776	0.649	0.713	0.732	0.692	0.740	0.224	0.308	0.351
Clinical Model	Train Cohort	0.855	0.802	0.838	0.818	0.832	0.865	0.765	0.198	0.135	0.162
	Test Cohort	0.827	0.805	0.719	0.767	0.795	0.786	0.742	0.195	0.214	0.281
	Validation Cohort	0.799	0.707	0.772	0.739	0.732	0.759	0.721	0.293	0.241	0.228
Conjoint Model	Train Cohort	0.948	0.875	0.892	0.882	0.894	0.913	0.846	0.125	0.087	0.108
	Test Cohort	0.888	0.805	0.844	0.822	0.835	0.868	0.771	0.195	0.132	0.156
	Validation Cohort	0.850	0.759	0.825	0.791	0.786	0.815	0.771	0.241	0.185	0.175

AUC, the area under the curve; SEN, sensitivity; SPE, specificity; ACC, accuracy; PPV, Positive predictive value; NPV, Negative predictive value; FNR, False negative rate; FDR, False discovery rate; FPR, False positives rate.