Table 2 Feature selection: most important Radiomics features (in descending order of importance).

From: Pseudoprogression prediction in high grade primary CNS tumors by use of radiomics

Level of importance

Feature

1

orig.ngtdm.Strength

2

Age

3

orig.glcm.ClusterShade

4

orig.shape.MinorAxisLength

5

orig.shape.Elongation

6

orig.glrlm.LongRunHighGrayLevelEmphasis

7

orig.ngtdm.Busyness

8

orig.shape.Sphericity

9

orig.glcm.Imc2

10

orig.glszm.LowGrayLevelZoneEmphasis

11

orig.glcm.MCC

12

orig.fst.ord.RobustMeanAbsoluteDeviation

13

orig.fst.ord.Median

14

orig.gldm.LowGrayLevelEmphasis

15

orig.ngtdm.Contrast