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Table 3 Two formulas concerning the Rad-score

From: A nomogram model based on pre-treatment and post-treatment MR imaging radiomics signatures: application to predict progression-free survival for nasopharyngeal carcinoma

 

Radiomics features

 

Coefficients

a. Formulas for calculating pre-treatment Rad-score (RS1)

RS1 = 

original_shape_Elongation

*

− 0.74165845

 + 

original_shape_Flatness

*

− 0.19308606

 + 

original_glszm_LargeAreaHighGrayLevelEmphasis

*

− 0.96268135

 + 

log.sigma.3.mm.3D_firstorder_Skewness

*

− 1.52187110

 + 

log.sigma.3.mm.3D_glcm_InverseVariance

*

− 1.05523619

 + 

wavelet-HHH_glcm_MCC

*

− 0.65258808

 + 

wavelet-HHH_gldm_SmallDependenceLowGrayLevelEmphasis

*

0.03921352

 + 

wavelet-HHH_gldm_DependenceVariance

*

− 0.58868526

 + 

wavelet-HHH_glszm_SmallAreaLowGrayLevelEmphasis

*

0.75365003

 + 

wavelet-HLH_firstorder_Mean

*

0.53801631

 + 

wavelet-HLL_glcm_Autocorrelation

*

2.09368963

 + 

wavelet-LHH_firstorder_Skewness

*

1.09442341

 + 

wavelet-LHH_glcm_Imc1

*

− 0.58413612

 + 

wavelet-LLH_glcm_Idmn

*

− 0.32246341

b. Formulas for calculating post-treatment Rad-score (RS2)

RS2 = 

log.sigma.2.mm.3D_ngtdm_Contrast

*

0.33057259

 + 

log.sigma.3.mm.3D_glszm_SizeZoneNonUniformity

*

0.68298741

 + 

wavelet-HHH_firstorder_Median

*

− 2.91041062

 + 

wavelet-HLH_gldm_LargeDependenceHighGrayLevelEmphasis

*

0.07259247

 + 

wavelet-LLH_glcm_Autocorrelation

*

0.06522993

 + 

wavelet-LLL_glcm_ClusterProminence

*

0.25489697

 + 

wavelet-LLL_glcm_DifferenceVariance

*

1.49013870