Table 4.

ROC analysis of statistically significant parameters for the differentiation between HCCs and IMCCs.

	AUC	Sensitivity, %	Specificity, %	Cutoff value	PPV	NPV
AEF (mean)	0.715	0.796	0.647	0.536	0.782	0.666
AEF (0.1)	0.769	0.778	0.676	0.466	0.792	0.657
AEF (0.25)	0.766	0.852	0.676	0.492	0.807	0.742
AEF (0.5)	0.730	0.796	0.706	0.536	0.811	0.685
AEF (0.75)	0.678	0.704	0.676	0.573	0.775	0.590
AEF (0.9)	0.631	0.685	0.618	0.604	0.740	0.553
∆HAP (mean)	0.644	0.870	0.441	− 0.004	0.712	0.681
∆HAP (0.1)	0.666	0.648	0.676	0.001	0.761	0.547
∆HAP (0.25)	0.648	0.537	0.735	0.010	0.763	0.500
∆HAP (0.5)	0.639	0.537	0.735	0.013	0.763	0.500
∆HAP (0.75)	0.627	0.889	0.412	− 0.0008	0.706	0.701
∆AEF (mean)	0.726	0.944	0.441	0.00007	0.728	0.832
∆AEF (0.1)	0.788	0.870	0.618	− 0.034	0.783	0.750
∆AEF (0.25)	0.767	0.852	0.618	− 0.003	0.780	0.724
∆AEF (0.5)	0.745	0852	0.559	0.019	0.754	0.704
∆AEF (0.75)	0.705	0.944	0.412	0.023	0.718	0.822
∆AEF (0.9)	0.659	0.685	0.676	0.099	0.771	0.575
rAEF (mean)	0.726	0.593	0.794	1.140	0.821	0.551
rAEF (0.1)	0.788	0.833	0.647	0.952	0.789	0.709
rAEF (0.25)	0.766	0.852	0.618	0.994	0..780	0.724
rAEF (0.5)	0.746	0.611	0.824	1.131	0.846	0571
rAEF (0.75)	0.706	0.944	0.412	1.043	0.718	0.822
rAEF (0.9)	0.662	0.630	0.706	1.203	0.773	0.546
PVP (variance)	0.665	0.588	0.722	0.004	0.771	0.525
AEF (kurtosis)	0.636	0.882	0.352	3.293	0.684	0.653
HF (0.25)	0.602	0.944	0.265	0.108	0.671	0.749
∆HF (0.1)	0.638	0.722	0.529	− 0.178	0.709	0.545
∆HF (0.25)	0.606	0.778	0.412	− 0.165	0.678	0.539

AUC Area under the curve, ROC Receiver operating characteristic, PPV Positive predictive value, NPV Negative predictive value.