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Table 2 ICC results, upper bound (Ubound), and lower bound (Lbound) with a 95% confidence interval belonging to the 24 robust features in the current study. Radiomic features were categorized based on their ICC into four groups, comprising 1) 90%≤ICC<100%, 2) 75%≤ICC<90%, 3) 50%≤ICC<75%, and 4) ICC<50%. Radiomic features with more than 75% ICC were selected as robust features and shown in this Table.

From: Robust vs. Non-robust radiomic features: the quest for optimal machine learning models using phantom and clinical studies

Name

ICC

Lbound

Ubound

ICC group

original_glrlm_RunLengthNonUniformity

0.983

0.844

0.998

1

original_shape_SurfaceVolumeRatio

0.982

0.866

0.998

1

original_shape_MeshVolume

0.977

0.835

0.997

1

original_shape_VoxelVolume

0.977

0.834

0.997

1

original_ngtdm_Coarseness

0.955

0.432

0.995

1

original_gldm_SmallDependenceLowGrayLevelEmphasis

0.950

0.569

0.994

1

original_shape_SurfaceArea

0.947

0.209

0.994

1

original_gldm_DependenceNonUniformity

0.945

0.360

0.994

1

original_shape_LeastAxisLength

0.941

0.571

0.993

1

original_firstorder_10Percentile

0.928

0.459

0.992

1

original_shape_Maximum2DDiameterSlice

0.928

0.336

0.992

1

original_glcm_MCC

0.921

0.425

0.991

1

original_gldm_DependenceEntropy

0.899

-0.135

0.990

2

original_firstorder_Kurtosis

0.896

0.074

0.989

2

original_shape_MinorAxisLength

0.891

0.218

0.988

2

original_firstorder_Minimum

0.879

0.067

0.987

2

original_glcm_Correlation

0.872

0.044

0.986

2

original_glszm_GrayLevelNonUniformity

0.855

-0.001

0.984

2

original_glszm_SizeZoneNonUniformity

0.830

-0.292

0.982

2

original_gldm_LargeDependenceHighGrayLevelEmphasis

0.828

-0.289

0.982

2

original_glszm_ZoneEntropy

0.820

-0.214

0.980

2

original_firstorder_Skewness

0.814

-0.208

0.979

2

original_firstorder_Median

0.778

-0.112

0.976

2

original_glcm_Idmn

0.759

-0.317

0.973

2