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. 2022 Sep 14;47(12):4151–4159. doi: 10.1007/s00261-022-03646-7

Table 3.

Texture features that had an AUC ≥ 0.850 for differentiation between primary PDAC and hepatic PDAC metastasis

Texture feature LoG filter (mm) AUC SD CI 95% p value
First order
Median 2.5 0.907 0.028 0.853–0.962  < 0.00015
Median 1.5 0.872 0.033 0.807–0.937  < 0.00015
Mean 2.5 0.880 0.033 0.815–0.945  < 0.00015
Mean 1.5 0.834 0.038 0.759–0.909  < 0.00015
10 percentile 2.5 0.870 0.035 0.800–0.939  < 0.00015
Gray-level co-occurrence matrix
Joint average 2.5 0.928 0.022 0.876–0.974  < 0.00015
Joint average 1.5 0.866 0.034 0.800–0.931  < 0.00015
Sum average 2.5 0.927 0.024 0.879–0.974  < 0.00015
Sum average 1.5 0.864 0.035 0.799–0.930  < 0.00015
Autocorrelation 2.5 0.924 0.025 0.876–0.972  < 0.00015
Autocorrelation 1.5 0.862 0.034 0.796–0.929  < 0.00015
Cluster shade 1.5 0.862 0.035 0.794–0.930  < 0.00015
Gray-level run-length matrix
Low gray-level run emphasis 2.5 0.903 0.027 0.849–0.956  < 0.00015
High gray-level run emphasis 2.5 0.885 0.030 0.826–0.944  < 0.00015
Gray-level dependence matrix
Low gray-level emphasis 2.5 0.929 0.024 0.882–0.975  < 0.00015
Low gray-level emphasis 1.5 0.873 0.033 0.809–0.937  < 0.00015
High gray-level emphasis 2.5 0.926 0.024 0.879–0.937  < 0.00015
High gray-level emphasis 1.5 0.870 0.033 0.805–0.935  < 0.00015
Large dependence high gray-level emphasis 2.5 0.911 0.027 0.857–0.965  < 0.00015

LoG Laplace of Gaussian filter, AUC area under the ROC curve, SD standard deviation, CI confidence interval 95%, p value after Bonferroni–Holm correction