Skip to main content

Table 4 Selected features of radiomics model and combined model

From: The practical clinical role of machine learning models with different algorithms in predicting prostate cancer local recurrence after radical prostatectomy

Radiomic model

Combined model

T2WI_log-sigma-1-mm-3D_ngtdm_Contrast

T2WI_log-sigma-1-mm-3D_ngtdm_Contrast

ADC_exponential_glrlm_LongRunLowGrayLevelEmphasis

ADC_exponential_glrlm_LongRunLowGrayLevelEmphasis

ADC_exponential_glszm_SmallAreaEmphasis

ADC_exponential_glszm_SmallAreaEmphasis

DWI_exponential_glszm_SmallAreaLowGrayLevelEmphasis

DWI_exponential_glszm_Zone%

DWI_exponential_glszm_Zone%

DWI_gradient_glrlm_LongRunHighGrayLevelEmphasis

DWI_gradient_glrlm_LongRunHighGrayLevelEmphasis

DWI_gradient_glrlm_LongRunLowGrayLevelEmphasis

DWI_gradient_glrlm_LongRunLowGrayLevelEmphasis

DWI_square_glrlm_RunVariance

DWI_square_glrlm_RunVariance

DCE_lbp-3D-m1_firstorder_RootMeanSquared

DWI_wavelet-HHL_firstorder_Mean

DCE_lbp-3D-m2_firstorder_Median

DCE_lbp-3D-m1_firstorder_RootMeanSquared

DCE_wavelet-LHL_firstorder_Median

DCE_lbp-3D-m2_firstorder_Median

PI-RR

DCE_lbp-3D-m2_firstorder_Skewness

Ā 

DCE_wavelet-LHL_firstorder_Mean

Ā 

DCE_wavelet-LHL_firstorder_Median

Ā 
  1. T2WIā€‰=ā€‰T2-weighted imaging; DWIā€‰=ā€‰diffusion-weighted imaging; ADCā€‰=ā€‰apparent diffusion coefficient; DCEā€‰=ā€‰dynamic contrast-enhanced; PI-RRā€‰=ā€‰Prostate Imaging for Recurrence Reporting