Table 2:

ROC analysis to discriminate tumor grade

Imaging Parameters	No.	Cutoff Value	AUC	Sensitivity	Specificity	PPV	NPV	Accuracy
T/N_ave of FDG	35	0.611	0.67	1.000	0.435	0.480	1.000	0.629
T/N_max of FDG	35	1.54	0.46	1.000	0.087	0.364	1.000	0.400
T/N_ave of MET	35	1.10	0.76	1.000	0.565	0.545	1.000	0.714
T/N_max of MET	35	2.01	0.83	0.833	0.739	0.625	0.895	0.771
ADC_ave (×10⁻³mm²/s)	31	0.928	0.67	0.600	0.714	0.500	0.789	0.677
ADC_min (×10⁻³mm²/s)	31	0.057	0.47	0.500	0.667	0.417	0.737	0.613

Note:—AUC indicates area under the curve; PPV, positive predictive value; NPV, negative predictive value; ROC, receiver operating characteristic.