Statistically significant radiomic features on univariate logistic regression and Wald test (P < 0.05)

ParametersFeaturesCoeff (95% CI)P < 0.05
First order10th Percentile0.78 (1.34, 0.19)0.01
90th Percentile0.80 (1.4, 0.2)0.01
Entropy–1.82 (–0.22, –3.42)0.03
Maximum0.45 (0.87, 0.03)0.04
Mean0.95 (1.61, 0.3)0.01
Median0.88 (1.50, 0.26)0.01
Root mean squared1.10 (1.82, 0.38)0.01
Uniformity3.86 (7.37, 0.35)0.03
GLCMCluster prominence–1.45 (–0.22, –2.69)0.02
Cluster tendency–2.06 (–0.09, –4.03)0.04
Contrast–24.1 (–5.68, –42.5)0.01
Difference average–24.1 (–5.68, –42.5)0.01
Difference entropy–4.62 (–1.19, –8.06)0.01
Difference variance–26.2 (–6.40, –45.9)0.01
Inverse difference (Id)48.1 (84.9, 11.4)0.01
Inverse difference moment (Idm)48.1 (84.9, 11.4)0.01
Inverse difference moment normalized (Idmn)120.3 (212.3, 28.4)0.01
Inverse difference normalized (Idn)72.2 (127.4, 17)0.01
Informational measure of correlation 2 (Imc2)–1.92 (–0.27, –3.56)0.02
Inverse variance–24.1 (–5.68, –42.5)0.01
Joint energy3.54 (6.57, 0.50)0.02
Joint entropy–1.42 (–0.27, –2.57)0.02
Maximum probability4.54 (8.86, 0.22)0.04
Sum entropy–1.50 (–0.27, –2.73)0.02
Sum squares–7.86 (–0.73, –15)0.03
GLDMDep variance–0.19 (–0.03, –0.35)0.02
Gray level variance–7.71 (–0.7, –14.7)0.03
Large dep emphasis0.03 (0.06, 0.01)0.01
Small dep emphasis–1,509.4 (–468.9, –2,549.9)0.01
Small dep high gray level emphasis–107.8 (–5.81, –209.7)0.04
GLRLMGray level non-uniform normalized3.36 (6.29, 0.44)0.02
Gray level variance–6.73 (–0.88, –12.6)0.02
Run percentage–32.3 (–9.86, –54.8)0.01
Short run emphasis–13.1 (–3.98, –22.3)0.01
Short run high gray level emphasis–2.3 (–0.52, –4.07)0.01
GLSZMSmall area emphasis–4.88 (–1.23, –8.48)0.01
Small area high gray level emphasis–4.15 (–1.21, –7.09)0.01
Small area low gray level emphasis–4.33 (–0.49, –8.18)0.03
Zone entropy–0.30 (–0.01, –0.59)0.05
Zone percentage–1,362.4 (–174.1, –2,550.6)0.03
NGTDMComplexity–26.1 (–6.31, –45.9)0.01
Contrast–141.7 (–14.3, –269)0.03