Table 2:

Optimal thresholds obtained from ROC curves and sensitivity/specificity to predict local failure^{^a}

Texture Parameter	AUC	Cutoff Point	Sensitivity (%)	Specificity (%)	PPV (%)	NPV (%)	Accuracy (%)
Histogram
Mean	0.67 (0.54–0.81)	>1102	50.2 (28.2–71.7)	82.5 (67.2–92.6)	64.7	73.3	71.0
SD	0.70 (0.56–0.84)	<252.9	40.9 (20.7–63.7)	92.5 (79.6–98.4)	74.0	75.0	74.2
Geometric mean	0.71 (0.57–0.85)	>920.6	36.4 (17.2–59.3)	92.5 (79.6–98.4)	72.7	72.7	72.6
Harmonic mean	0.71 (0.58–0.85)	>243.4	36.4 (17.2–59.3)	95.0 (83.1–99.4)	80.0	73.1	74.2
Fourth moment	0.69 (0.55–0.83)	<4.65e10	40.9 (20.7–63.6)	92.5 (79.6–98.4)	74.0	75.0	74.2
GLRL
SRE	0.79 (0.68–0.91)	<0.0341	36.4 (17.2–59.3)	95.0 (83.1–99.4)	80.0	73.1	74.2
LRE	0.80 (0.69–0.91)	<0.0332	63.6 (40.7–82.8)	80.0 (64.4–90.9)	63.6	80.0	74.2
GLN	0.80 (0.69–0.92)	<0.0408	68.2 (45.1–86.1)	80.0 (64.4–90.9)	65.2	82.1	75.8
RLN^{^b}	0.82 (0.72–0.92)	<0.0329	77.3 (58.8–87.3)	77.5 (54.6–92.2)	65.4	86.1	77.4
RP	0.71 (0.57–0.84)	>433.3	72.7 (49.8–89.3)	65.0 (48.3–79.4)	53.3	81.3	67.7
LGRE	0.73 (0.60–0.85)	>440	81.8 (59.7–94.8)	62.5 (45.8–77.3)	54.6	86.2	69.4
HGRE	0.74 (0.61–0.87)	>433.9	54.6 (32.2–75.6)	85.0 (70.2–94.3)	66.7	77.3	74.2
SRLGE	0.72 (0.59–0.86)	>444.2	77.3 (54.6–92.2)	37.5 (50.9–81.4)	56.7	84.4	71.0

Note:—LRE indicates long-run emphasis; RP, run percentage; LGRE, low gray-level run emphasis; HGRE, high gray-level run emphasis; PPV, positive predictive value; NPV, negative predictive value; AUC, area under the receiver operating characteristic curve; ROC, receiver operating characteristic.
↵a Numbers in parentheses are 95% confidence intervals.
↵b AUC of the RLN was significantly better than that of mean (P = .022). The differences with other selected texture features were not significant (P > .05).