Table 2.

Selected radiomic features by univariate logistic regression analysis and LASSO regression in training dataset.

MR Sequence	Feature Name
T1	log.sigma.1.0.mm.3D_glszm_ZonePercentage log.sigma.3.0.mm.3D_ngtdm_Contrast wavelet.LLH_gldm_LargeDependenceEmphasis wavelet.LHH_firstorder_Skewness wavelet.HLL_glszm_SizeZoneNonUniformityNormalized wavelet.HLH_gldm_LargeDependenceHighGrayLevelEmphasis wavelet.HHL_gldm_DependenceVariance. wavelet.LLL_glcm_InverseVariance.
T2	log.sigma.3.0.mm.3D_ glcm_Imc2 wavelet.LLH_glszm_HighGrayLevelZoneEmphasis wavelet.LLH_glszm_LowGrayLevelZoneEmphasis wavelet.LLH_glszm_SmallAreaHighGrayLevelEmphasis wavelet.LHL_gldm_HighGrayLevelEmphasis wavelet.LHL_gldm_LowGrayLevelEmphasis wavelet.LHL_glrlm_HighGrayLevelRunEmphasis wavelet.LHL_glrlm_LowGrayLevelRunEmphasis wavelet.LHL_glszm_GrayLevelNonUniformityNormalized wavelet.LHH_firstorder_Kurtosis wavelet.HLH_glszm_ZoneEntropy wavelet.LLL_firstorder_Minimum

LoG, Laplacian of Gaussian filter; gldm, gray level dependence matrix; glszm, gray level size zone matrix; glcm, gray level co-occurrence matrix; glrlm, gray level run length matrix.