Table 3.

PET Texture Parameter Analysis

PET parameters	Feature selection			Comparison of mean values between ADC and SqCC
	Fisher	PA	MI	ADC	SqCC	p value
S(1,0) Entropya, c	1.5999	-	0.3545	2.20 ± 0.21	2.41 ± 0.12	0.004 *
S(1,0) SumEntrpa, c	1.4775	-	0.396	1.67 ± 0.12	1.78 ± 0.05	0.006 *
S(0,1) Entropya, c	1.4501	-	0.3308	2.18 ± 0.21	2.38 ± 0.11	0.008 *
S(0,3) SumOfSqsa, c	1.3838	-	0.3335	113.47 ± 10.31	102.25 ± 9.26	0.004 *
S(0,1) AngScMoma, c	1.3329	-	0.3185	0.0084 ± 0.0036	0.0052 ± 0.0012	0.017 *
GrNonZerosa	1.3267	-	-	0.98 ± 0.02	0.95 ± 0.03	0.004 *
S(1,0) AngScMoma	1.2776	-	-	0.0080 ± 0.0037	0.0048 ± 0.0013	0.006 *
S(2,0) SumOfSqsa	1.2748	-	-	109.57 ± 7.47	101.11 ± 8.11	0.007 *
S(1,-1) AngScMoma	1.269	-	-	0.0072 ± 0.0033	0.0044 ± 0.0013	0.007 *
S(0,4) SumOfSqsa	1.2516	-	-	118.95 ± 13.62	105.39 ± 10.95	0.006 *
S(4,0) DifEntrpb	-	0.4096	-	1.37 ± 0.087	1.41 ± 0.041	0.133
S(1,-1) SumOfSqsb	-	0.4487	-	107.40 ± 4.93	101.78 ± 5.58	0.006 *
S(0,4) InvDfMomb	-	0.4528	-	0.074 ± 0.023	0.096 ± 0.030	0.039 *
S(5,0) SumVarncb	-	0.4569	-	157.33 ± 67.81	181.17 ± 39.16	0.245
S(5,5) SumOfSqsb	-	0.4651	0.3289	80.18 ± 33.74	106.83 ± 12.84	0.079
S(2,2) SumOfSqsb	-	0.477	-	113.30 ± 11.39	102.92 ± 8.52	0.01 *
S(5,-5) InvDfMomb	-	0.4777	-	0.108 ± 0.107	0.079 ± 0.022	0.68
S(3,3) DifEntrpb	-	0.479	-	1.35 ± 0.96	1.39 ± 0.039	0.17
Varianceb	-	0.4829	-	1,908,612 ± 2,770,149	10,944,950 ± 16,414,211	0.183
S(2,2) DifVarncb	-	0.6	-	53.48 ± 19.38	40.77 ± 11.89	0.039 *
S(5,0) DifEntrpc	-	-	0.4344	1.35 ± 0.11	1.44 ± 0.04	0.002 *
S(0,3) DifVarncc	-	-	0.3304	50.93 ± 22.40	40.38 ± 9.62	0.263
S(5,0) DifVarncc	-	-	0.3225	96.99 ± 36.74	82.57 ± 15.73	0.432
GrVariancec	-	-	0.3205	1.43 ± 0.49	1.65 ± 0.73	0.432
SUVmax d				10.06 ± 5.18	16.95 ± 4.52	0.001 *

^* p < 0.05, statically significant

^{a, b, c} Parameters selected by Fisher coefficient, PA, and MI, respectively

^d SUV_max values were suggested for comparison with texture parameters