Table 1 (A) Percentage of features with significantly different distributions attributable to contrast enhancement, spatial resolution due to reconstruction kernel, and manufacturer in the original features and after applying standard ComBat, Nested ComBat, and NestedD (dropping with every iteration) ComBat in the CapTK features extracted from the Lung3 dataset. (B) Corresponding table for PyRadiomics features extracted from the Lung3 data. (C) Corresponding table for CapTK features extracted from the Radiogenomics dataset. (D) Corresponding table for PyRadiomics features extracted from the Radiogenomics dataset.
Original (%) | ComBat (%) | Nested (%) | NestedD (%) | |
|---|---|---|---|---|
A. Lung3/CAPTK | ||||
CE | 10 | 16 | 5 | 3 |
Spatial resolution | 18 | 21 | 23 | 19 |
Manufacturer | 48 | 45 | 41 | 28 |
B. Lung3/PyRadiomics | ||||
CE | 40 | 11 | 5 | 2 |
Spatial resolution | 43 | 25 | 29 | 11 |
Manufacturer | 61 | 28 | 27 | 12 |
C. Radiogenomics/CAPTK | ||||
CE | 17 | 42 | 33 | 14 |
Spatial resolution | 42 | 43 | 36 | 11 |
Manufacturer | 20 | 51 | 38 | 15 |
D. Radiogenomics/PyRadiomics | ||||
CE | 54 | 27 | 26 | 9 |
Spatial resolution | 69 | 29 | 23 | 13 |
Manufacturer | 44 | 36 | 44 | 20 |