Table 2.

Results of imaging data obtained from segmentation by two readers

	Reader 1				Reader 2				ICC
	AIP	PDAC	p- value	AUC (%)	AIP	PDAC	p- value	AUC (%)
2D-ADCmean	1.10 ± 0.15	1.33 ± 0.17	<0.001	84.5	1.15 ± 0.18	1.29 ± 0.19	0.001	72.6	0.909
3D-ADCmean	1.23 ± 0.20	1.43 ± 0.21	<0.001	75.9	1.21 ± 0.19	1.41 ± 0.20	<0.001	77.6	0.891
Object volume	16.65 ± 12.64	7.19 ± 5.98	<0.001	74.3	16.23 ± 9.75	7.84 ± 5.341	<0.001	77.4	0.802
Energy (×102)	4.61 ± 4.43	2.42 ± 3.17	0.004	68.2	5.47 ± 5.23	2.08 ± 2.18	<0.001	76.9	0.707
Variance	0.15 ± 0.07	0.20 ± 0.09	0.008	67.0	0.13 ± 0.06	0.19 ± 0.11	0.007	67.3	0.516
Mean absolute deviation	0.31 ± 0.09	0.36 ± 0.09	0.009	66.8	0.28 ± 0.07	0.35 ± 0.10	0.006	67.5	0.583
Interquartile range	0.54 ± 0.19	0.64 ± 0.20	0.016	65.4	0.48 ± 0.14	0.62 ± 0.24	0.007	67.3	0.522

ADC, apparent diffusion coefficient; AIP, autoimmune pancreatitis; AUC, area under the curve; Abbreviations:;ICC, intraclass correlation coefficient; PDAC, pancreatic ductal adenocarcinoma.

The univariate analysis was performed using the Mann–Whitney U test. For variables with statistically significant results, receiver operating characteristic curves were constructed and the AUCs were calculated. All variables showed significant between-group differences in the univariate analyses of data by Reader 1 and more than fair inter reader reliability. Texture parameters were calculated without filtering. Only the features that showed more than moderate AUC (>70%) for either reader are listed, and the full version can be found in the Supplemental.