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. 2023 Jul 10;15(14):3565. doi: 10.3390/cancers15143565

Table 8.

GLSZM-based radiomic features for real and synthetic T2W for CycleGAN and DC2Anet models.

Features Real T2W Synthetic T2W-CycleGAN Synthetic T2W-DC2Anet 95% CI of Diff
Mean ± SE Mean ± SE Mean ± SE Real T2W vs. Synthetic T2W-CycleGAN Real T2W vs. Synthetic T2W-DC2Anet
Grey Level Mean 8.92 ± 0.38 9.49 ± 0.48 9.2 ± 0.48 −2.191 to 1.049 −1.905 to 1.336
Grey Level Nonuniformity 1.26 ± 0.02 1.4 ± 0.04 1.38 ± 0.03 −0.2608 to −0.0051 * −0.2419 to 0.0137
Grey Level Variance 42.32 ± 0.57 43.40 ± 1.47 42.5 ± 1.372 −5.407 to 3.232 −4.504 to 4.134
High Grey Level Emphasis 136.1 ± 4.6 139.1 ±10.21 137.6 ± 10.27 −34.25 to 28.30 −32.82 to 29.73
Large Zone Emphasis 121.8 ± 8.08 119.9 ± 7.38 121.6 ± 7.41 −25.29 to 29.12 −27.03 to 27.38
Large Zone High Grey Level Emphasis 240.6 ± 4.04 245.6 ± 3.71 249.1 ± 3.56 −18.50 to 8.430 −22.00 to 4.930
Large Zone Low Grey Level Emphasis 152.2 ± 2.93 145.4 ± 5.44 135.1 ± 4.12 −8.474 to 22.10 1.827 to 32.40 *
Low Grey Level Emphasis 0.18 ± 0.01 0.19 ± 0.009 0.18 ± 0.008 −0.0510 to 0.0237 −0.0451 to 0.0296

* Significant difference.