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Table 4 The features selected from T1WI, Ce-T1WI and combined sequences

From: DCE-MRI quantitative analysis and MRI-based radiomics for predicting the early efficacy of microwave ablation in lung cancers

Sequences

Coefficients

Image preprocessing

Categories

Features

T1WI

0.397

wavelet-HLL

GLSZM

High Gray Level Zone Emphasis

 

0.329

lbp-3D-k

Firstorder

Kurtosis

 

0.257

log-sigma-3-0-mm-3D

GLSZM

Gray Level NonUniformity

 

0.020

logarithm

GLSZM

Size Zone NonUniformity

 

0.015

wavelet-HLL

Firstorder

Kurtosis

 

-0.127

wavelet-LLL

GLSZM

Size Zone NonUniformity Normalized

 

-0.283

wavelet-HHL

GLRLM

High Gray Level Run Emphasis

Ce-T1WI

1.201

wavelet-LLH

Firstorder

Skewness

 

0.797

gradient

Firstorder

10 Percentile

 

0.622

logarithm

GLSZM

Gray Level NonUniformity

 

0.370

wavelet-LLH

GLCM

Cluster Prominence

 

-0.234

wavelet-LLH

Firstorder

10 Percentile

Combined

1.589

wavelet-LLH

Firstorder

Skewness_Ce-T1

 

1.216

wavelet-HLL

GLSZM

High Gray Level Zone Emphasis_T1

 

0.821

lbp-3D-k

Firstorder

Kurtosis_T1

 

0.644

gradient

Firstorder

10 Percentile_Ce-T1

 

0.592

logarithm

GLSZM

Gray Level NonUniformity_Ce-T1

 

0.265

log-sigma-3-0-mm-3D

GLSZM

Gray Level NonUniformity_T1

 

0.154

wavelet-HLL

Firstorder

Kurtosis_T1

 

-0.109

logarithm

GLSZM

Size Zone NonUniformity_T1

 

-1.245

wavelet-LLH

Firstorder

10 Percentile_Ce-T1

 

-1.939

wavelet-HHL

GLRLM

High Gray Level Run Emphasis_T1

  1. GLSZM refers to gray-level size zone matrix, GLRLM refers to gray-level run-length matrix, and GLCM refers to gray-level co-occurrence matrix