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

Table 4.

GLCM-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
Auto Correlation 330 ± 26.40 331 ± 52.22 348 ± 49.5 −176.8 to 173.8 −194.5 to 156.1
Cluster Prominence 17,303 ± 1501 15,367 ± 1009 12,133 ± 455 −2019 to 5892 1214 to 9125 *
Cluster Shade 722.4 ± 41.14 716 ± 18.76 677.2 ± 33.74 −111.2 to 124.0 −72.39 to 162.7
Contrast 43.96 ± 0.9 42.06 ± 1.04 31.67 ± 0.86 −1.487 to 5.296 8.902 to 15.68 *
Correlation 0.005 ± 0.0004 0.0051 ± 0.0007 0.05 ± 0.0098 −0.0212 to 0.0195 −0.0703 to −0.0296 *
Energy 0.43 ± 0.01 0.44 ± 0.01 0.43 ± 0.007 −0.040 to 0.027 −0.029 to 0.037
Entropy 2.47 ± 0.08 2.4 ± 0.03 2.34 ± 0.03 −0.139 to 0.263 −0.074 to 0.328
Homogeneity 0.67 ± 0.01 0.68 ± 0.009 0.63 ± 0.007 −0.044 to 0.021 0.0052 to 0.071

* Significant difference; ** Standard error (SE).