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. 2021 Jan 20;187(2):535–545. doi: 10.1007/s10549-020-06074-7

Table 2.

Summary of significant Mann–Whitney U tests for percentage change in radiomics features between pre- and post-contrast images

Radiomic feature No-upgrade Upgrade p-value
Median (IQR) Median (IQR)
Minimum (FO)

122

(80 to 228)

184

(111 to 333)

0.041
Sum average (GLCM)

 − 16.7

(− 23.9 to − 1.1)

 − 21.8

(− 35.4 to − 8.3)

0.047
Auto correlation (GLCM)

 − 26.4

(− 38.7 to 0.5)

 − 32.3

(− 54.3 to − 12.8)

0.044
lrhgle (RLM)

 − 35.7

(− 47.9 to − 13.6)

 − 44.8

(− 63.9 to − 22.6)

0.026
rlv (RLM)

 − 30.0

(− 48.1 to − 5.8)

 − 39.2

(− 58.7 to − 24.0)

0.045
lzhgle (SZM)

 − 46.7

(− 60.6 to − 20.0)

 − 63.8

(− 73.0 to − 39.7)

0.008
hde (NGLDM)

 − 21.1

(− 36.8 to − 3.8)

 − 30.4

(− 44.4 to − 14.4)

0.047
hgce (NGLDM)

 − 31.4

(− 41.6 to − 4.7)

 − 38.0

(− 56.8 to − 14.6)

0.047
hdhge (NGLDM)

 − 42.4

(− 60.6 to − 20.0)

 − 61.8

(− 72.9 to − 30.5)

0.006
Busyness (NGTDM)

108

(47 to 176)

160

(63 to 206)

0.047

Median values with associated interquartile range (IQR) are reported as non-parametric tests were performed. Features selected for advancement to model development are italicized

FO first-order, GLCM gray-level co-occurrence matrix, RLM run-length matrix, SZM size zone matrix, NGLDM neighborhood gray-level dependence matrix, NGTDM neighborhood gray-tone difference matrix, lrhgle long-run high gray-level emphasis, rlv run-length variance, lzhgle large zone high gray-level emphasis, hde high dependence emphasis, hgce high gray-level count emphasis, hdhge high dependence high gray-level emphasis