TABLE 3

AUCs and Sensitivity and Specificity from ROC Analyses

		95% CI		Sensitivity and specificity equally important			Specificity as high as possible
Method	AUC	Lower	Upper	Sensitivity	Specificity	Cutoff	Sensitivity	Specificity	Cutoff
TLG (PERCIST)	0.923	0.842	1.000	0.89	0.88	−6.6%	0.50	1.00	9.2%
SUL_peak	0.887	0.791	0.983	0.77	0.82	−6.9%	0.58	1.00	2.1%
SUL_max	0.835	0.715	0.954	0.73	0.82	−4.5%	0.35	1.00	13.2%
TLG 50	0.824	0.698	0.949	0.77	0.82	3.0%	0.39	1.00	30.0%
TLG 40	0.821	0.696	0.946	0.77	0.71	−1.4%	0.35	1.00	24.6%
TLG 30	0.790	0.645	0.934	0.73	0.76	0.0%	0.58	0.94	11.9%

95% CI = 95% confidence interval; cutoff = corresponding optimal cutoff value for percentage change.
AUCs optimized by identifying point on curve closest to upper left corner (considering sensitivity and specificity equally important [middle columns]) and considering specificity of major importance, thereby avoiding any false progressions [right columns]).