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Table 4 Key radiomics features and their coefficient

From: Utility of diffusion weighted imaging-based radiomics nomogram to predict pelvic lymph nodes metastasis in prostate cancer

Key features

Coefficient

original_shape_Sphericity

0.856

original_shape_SurfaceVolumeRati

− 0.581

log-sigma-1-0-mm-3D_glcm_Idn

0.63

log-sigma-1-0-mm-3D_glcm_Imc1

0.096

log-sigma-1-0-mm-3D_gldm_DependenceNonUniformityNormalized

− 0.188

log-sigma-5-0-mm-3D_glcm_DifferenceEntropy

1.236

log-sigma-5-0-mm-3D_glcm_InverseVariance

− 0.139

log-sigma-5-0-mm-3D_gldm_DependenceNonUniformityNormalized

0.475

wavelet-HLL_glcm_Correlation

0.231

wavelet-HHH_glszm_SizeZoneNonUniformityNormalized

− 0.453