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. 2023 Dec 22;12(12):2191–2202. doi: 10.21037/tp-23-309

Table 3. The results of the logistic regression of the radiomics features.

Features Coefficients Stand error Z value P value
Intercept −20.345 8.711 −2.340 0.020
Boxsigmaimage_firstorder_totalenergy −2.282 0.805 −2.830 0.005
Laplaciansharpening_glcm_clustertendency 2.702 1.023 2.640 0.008
Laplaciansharpening_glcm_contrast −7.092 2.208 −3.210 0.001
Laplaciansharpening_glcm_differencevariance 6.541 2.207 2.960 0.003
Laplaciansharpening_glszm_graylevelvariance −3.493 1.258 −2.780 0.006
Discretegaussian_firstorder_range −4.806 3.060 −1.570 0.116
Discretegaussian_glcm_difference variance −0.088 0.112 −0.780 0.436
Recursivegaussian_firstorder_range 0.020 0.010 2.020 0.043
Shotnoise_glrlm_shortrunlowgraylevelemphasis 11.146 4.086 2.730 0.006