Preoperatively predicting vessels encapsulating tumor clusters in hepatocellular carcinoma: Machine learning model based on contrast-enhanced computed tomography

Table 3 Selected radiomics features in intratumoral, peritumoral, and combined radiomics models on the training set

Intratumoral radiomics model	Peritumoral radiomics model	Combined radiomics model
Original_GLDM_DependenceEntropy	Original_shape_Sphericity	Original_GLDM_DependenceEntropy1
Lbp-3D-k_GLRLM_ShortRunHighGrayLevelEmphasis	Lbp-2D_firstorder_InterquartileRange	Original_GLRLM_RunLengthNonUniformity1
Lbp-3D-k_GLDM_SmallDependenceEmphasis	Lbp-3D-k_firstorder_Minimum	Wavelet-HHH_GLCM_SumEntropy1
Original_GLRLM_RunLengthNonUniformity	Wavelet-HHH_GLCM_SumEntropy	Wavelet-HHH_GLCM_SumEntropy2
Wavelet-HHH_GLCM_SumEntropy	Original_GLRLM_RunVariance	Original_GLRLM_RunVariance2
Lbp-3D-k_firstorder_Kurtosis	Wavelet-LHL_firstorder_Variance	Logarithm_firstorder_InterquartileRange1
Wavelet-HLH_GLRLM_GrayLevelNonUniformityNormalized	Lbp-3D-m1_firstorder_Skewness	Wavelet-LHL_firstorder_Variance2
Squareroot_firstorder_Minimum	Logarithm_firstorder_10Percentile	Wavelet-HHH_GLCM_MCC1
Wavelet-LLH_GLCM_Imc2	Squareroot_firstorder_10Percentile	Lbp-3D-k_firstorder_Kurtosis1
Wavelet-LHL_GLCM_MaximumProbability	Wavelet-HLL_firstorder_Kurtosis	Wavelet-HHH_firstorder_Kurtosis2
Wavelet-HLH_GLCM_MaximumProbability		Lbp-3D-m1_firstorder_Skewness2
		Wavelet-HLH_GLRLM_GrayLevelNonUniformityNormalized_V11
		Logarithm_firstorder_90Percentile2

¹Intratumoral radiomics.

²Peritumoral radiomics.

GLRLM: Gray level run length matrix; GLCM: Gray level co-occurrence matrix; GLDM: Gray level dependence matrix; Lbp-2D: Local binary pattern in 2D; Lbp-3D: Local binary pattern in 3D.