TABLE 3

Predictive Value According to ROC Analysis

Parameter	Timing	AUC	Cutoff value	Sensitivity (%)	Specificity (%)	Accuracy (%)
SUV_max	PET₁	0.52 [0.37–0.66]	>11.6	30 [14–50]	83 [63–95]	55 [38–68]
	PET₂	0.67 [0.52–0.79]	≤3.7	67 [46–84]	75 [53–90]	71 [49–87]
	Δ (%)	0.82 [0.68–0.91]	≤−48	63 [42–81]	92 [73–99]	77 [57–90]
SUV_peak	PET₁	0.52 [0.37–0.66]	>11.7	22 [9–42]	88 [68–97]	53 [34–69]
	PET₂	0.65 [0.50–0.78]	≤2.8	63 [42–81]	71 [49–87]	67 [46–85]
	Δ (%)	0.79 [0.65–0.89]	≤−42	70 [50–86]	83 [63–95]	76 [54–91]
SUV_mean	PET₁	0.53 [0.38–0.67]	≤2.2	19 [6–38]	92 [73–99]	53 [34–69]
	PET₂	0.62 [0.47–0.75]	≤2	59 [39–78]	75 [53–90]	67 [46–85]
	Δ (%)	0.68 [0.54–0.81]	≤−30	74 [54–89]	67 [45–84]	71 [49–88]
MATV (cm³)	PET₁	0.63 [0.48–0.76]	>7	85 [66–96]	42 [22–63]	65 [48–79]
	PET₂	0.64 [0.49–0.77]	≤11.3	89 [71–98]	42 [22–63]	67 [45–84]
	Δ (%)	0.92 [0.82–0.98]	≤−42	93 [76–99]	88 [68–97]	91 [72–98]
TLG	PET₁	0.57 [0.43–0.71]	>16	93 [76–99]	29 [13–51]	63 [42–81]
	PET₂	0.66 [0.51–0.79]	≤23.3	78 [58–91]	63 [41–82]	71 [49–88]
	Δ (%)	0.91 [0.79–0.97]	≤−56	96 [81–100]	92 [73–99]	94 [79–99]

Data in brackets are 95% confidence intervals.