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. 2022 Aug 16;95(1140):20210456. doi: 10.1259/bjr.20210456

Table 3.

Results of texture analysis of energy with filtering

Reader 1 Reader 2
AIP PDAC p- value AUC (%) AIP PDAC p- value AUC (%)
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
Square root-energy (×103) 9.55 ± 8.16 4.45 ± 5.65 <0.001 72.4 11.46 ± 8.41 4.78 ± 8.51 <0.001 78.6
Logarithm-energy (×103) 6.45 ± 6.03 3.21 ± 4.33 0.002 69.9 7.79 ± 6.86 3.35 ± 6.12 <0.001 75.6
Exponential-energy (×103) 16.03 ± 13.83 6.91 ± 5.07 <0.001 74.7 18.20 ± 10.98 6.81 ± 5.51 <0.001 81.5
Wavelet LLL-energy (×103) 36.43 ± 35.14 19.06 ± 25.09 0.004 68.3 43.30 ± 41.47 16.18 ± 17.08 <0.001 74.0
Log sigma 3.5mm-energy (×102) 8.72 ± 6.85 5.71 ± 5.91 0.030 63.9 10.98 ± 7.70 6.24 ± 4.13 0.003 70.3
Log sigma 4.5mm-energy (×102) 10.58 ± 9.45 6.18 ± 6.97 0.022 64.7 13.08 ± 7.70 6.25 ± 4.13 0.001 72.2

ADC, apparent diffusion coefficient; AIP, autoimmune pancreatitis; AUC, area under the curve; 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. 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.