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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.

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