Diagnostic performance of texture analysis in the differential diagnosis of perianal fistulising Crohn’s disease and glandular anal fistula

Table 1 Receiver operating characteristic curve analysis results of 16 textural feature parameters

Textural feature parameters	AUC	Asymptotic significance level	95%CI	Z statistics	Youden index	Sensitivity	Specificity	+LR	-LR
Histogram parameter
Histogram-energy	0.670	0.0226	0.547-0.777	2.280	0.3068	62.50	68.18	1.96	0.55
Gray-scale co-occurrence matrix parameters
GLCM energy_all direction_offset1_SD	0.683	0.0085	0.561-0.789	2.630	0.3087	85.42	45.45	1.57	0.32
GLCM entropy_all direction_offset4_SD	0.664	0.0185	0.541-0.772	2.354	0.3390	52.08	81.82	2.86	0.59
GLCM entropy_all direction_ offset7_SD	0.648	0.0500	0.524-0.758	1.960	0.2992	70.83	59.09	1.73	0.49
Haralick correlation_all direction_offset7 _SD	0.702	0.0027	0.580-0.805	3.005	0.3598	54.17	81.82	2.98	0.56
Texture parameters
Correlation_all direction_offset1_SD	0.673	0.0126	0.551-0.781	2.496	0.3598	54.17	81.82	2.98	0.56
Cluster prominence_angle 90_offset4	0.648	0.0300	0.524-0.758	2.171	0.3807	56.25	81.82	3.09	0.53
Inertia_all direction_offset7_SD	0.654	0.0397	0.531-0.764	2.057	0.3864	75.00	63.64	2.06	0.39
Cluster shade_angle 45_ offset7	0.648	0.0230	0.524-0.758	2.274	0.3883	47.92	90.91	5.27	0.57
Grey level run-length matrix (RLM) parameters
Grey level nonuniformity_ angle 90_offset1	0.671	0.0144	0.549-0.779	2.446	0.3598	54.17	81.82	2.98	0.56
Grey level nonuniformity_all direction_offset4_ SD	0.657	0.0243	0.534-0.767	2.253	0.3125	81.25	50.00	0.38	0.62
Long run high grey level emphasis_all direction _offset1_SD	0.728	0.0003	0.609-0.828	3.618	0.3864	75.00	63.64	2.06	0.39
Long run emphasis_all direction_offset4_SD	0.722	0.0013	0.602-0.822	3.222	0.3883	47.92	90.91	5.27	0.57
Long run high grey level emphasis_all direction_ offset4_SD	0.652	0.0391	0.529-0.762	2.063	0.2803	91.67	36.36	1.44	0.23
Form factor parameters
Surface area	0.728	0.0003	0.609-0.828	3.640	0.3883	47.92	90.91	5.27	0.57
Maximum 3D diameter	0.739	0.0001	0.620-0.836	4.024	0.4337	47.92	95.45	10.54	0.55

AUC: Area under the receiver operating characteristic curve; +LR: Positive likelihood ratio; -LR: Negative likelihood ratio.

Table 2 Analysis results of logistic regression model of textural feature parameters

	β coefficient	SE	χ2 value	Significance	OR	95%CI
						Lower limit	Upper limit
Inertia_all direction_offset7_SD	-0.004	0.002	3.699	0.054	0.996	0.993	1.000
Cluster shade_angle 45_ offset7	0.000	0.000	7.194	0.007	1.000	1.000	1.000
Long run high grey level emphasis_all direction _offset1_SD	-0.145	0.069	4.351	0.037	0.865	0.755	0.991
Long run emphasis_all direction_offset4_SD	-98.665	56.394	3.061	0.080	0.000	0.000	142353.563
Surface area	0.000	0.000	3.973	0.046	1.000	1.000	1.001
Maximum 3D diameter	-0.121	0.040	8.963	0.003	0.886	0.819	0.959
Constant	9.412	3.758	6.273	0.012	12234.477	-	-

OR: Odds ratio.

Table 3 Receiver operating characteristic curve analysis results of logistic regression model of textural feature parameters

AUC	Asymptotic significance level	95%CI	Z statistics	Youden index	Sensitivity	Specificity	+LR	-LR
0.917	< 0.0001	0.826-0.969	12.645	0.7178	85.42	86.36	6.26	0.17

AUC: Area under the receiver operating characteristic curve; +LR: Positive likelihood ratio; -LR: Negative likelihood ratio.