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Table 3 Features in every model

From: Development and validation of a multi-modal ultrasomics model to predict response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer

Model

Selected features

Coefficients

BUS

wavelet-LHH_glszm_LargeAreaHighGrayLevelEmphasis_BUS

wavelet-LHH_glszm_LargeAreaLowGrayLevelEmphasis_BUS

wavelet-HHL_firstorder_Mean_BUS

wavelet-HLL_glszm_SmallAreaLowGrayLevelEmphasis_BUS

-0.007677

-0.091875

-0.115225

-0.118419

CEUS

wavelet-HLL_glszm_GrayLevelNonUniformityNormalized_CEUS

squareroot_glrlm_LongRunEmphasis_CEUS

wavelet-HHH_firstorder_Median_CEUS

wavelet-HLH_gldm_LowGrayLevelEmphasis_CEUS

wavelet-HLH_firstorder_Median_CEUS

original_glrlm_ShortRunLowGrayLevelEmphasis_CEUS

wavelet-HHH_glszm_SmallAreaHighGrayLevelEmphasis_CEUS

0.06317

0.055382

0.045882

0.012169

-0.03406

-0.076672

-0.155453

Combined_1

wavelet-HLL_glszm_GrayLevelNonUniformityNormalized_CEUS

wavelet-HLH_gldm_LowGrayLevelEmphasis_CEUS

squareroot_glrlm_LongRunEmphasis_CEUS

wavelet-HHH_firstorder_Median_CEUS

wavelet-HHH_glrlm_RunPercentage_CEUS

wavelet-LHH_glszm_LargeAreaLowGrayLevelEmphasis_BUS

original_glrlm_ShortRunLowGrayLevelEmphasis_CEUS

wavelet-HLH_firstorder_Median_CEUS

wavelet-HLL_glszm_SmallAreaLowGrayLevelEmphasis_BUS

wavelet-HHL_firstorder_Mean_BUS

wavelet-HHH_glszm_SmallAreaHighGrayLevelEmphasis_CEUS

0.076747

0.039037

0.037888

0.029838

0.001871

-0.01021

-0.057341

-0.057341

-0.070581

-0.115704

-0.151225

Combined_2

wavelet-HLL_glszm_GrayLevelNonUniformityNormalized_CEUS

wavelet-HLH_gldm_LowGrayLevelEmphasis_CEUS

squareroot_glrlm_LongRunEmphasis_CEUS

wavelet-HHH_firstorder_Median_CEUS

original_ngtdm_Coarseness_CEUS

wavelet-LHH_glszm_LargeAreaLowGrayLevelEmphasis_BUS

original_glrlm_ShortRunLowGrayLevelEmphasis_CEUS

wavelet-HLH_firstorder_Median_CEUS

resnet101_31

wavelet-HLL_glszm_SmallAreaLowGrayLevelEmphasis_BUS

wavelet-HHL_firstorder_Mean_BUS

wavelet-HHH_glszm_SmallAreaHighGrayLevelEmphasis_CEUS

0.064434

0.054451

0.039536

0.03321

-0.000446

-0.024238

-0.042904

-0.047193

-0.067187

-0.068875

-0.111608

-0.152471

  1. BUS: B-mode ultrasound; CEUS: contrast-enhanced ultrasound; Combined_1: the integration of BUS and CEUS; Combined_2: the integration of BUS, CEUS, and deep learning