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Table 2 Differences of selected texture features between CA and HCM

From: Texture analysis of T2-weighted cardiovascular magnetic resonance imaging to discriminate between cardiac amyloidosis and hypertrophic cardiomyopathy

Image type

Feature class

Features names

CA

HCM

P value

Wavelet-LHL

GLRLM

Long run emphasis

6.639 (5.796, 7.310)

7.360 (6.721, 8.266)

 < 0.0001

Wavelet-LHL

GLRLM

Short run emphasis

0.535 (0.510, 0.567)

0.504 (0.478, 0.530)

 < 0.0001

Wavelet-LLH

GLRLM

Long run emphasis

143.8 (104.5, 192.4)

193.9 (148.7, 252.2)

 < 0.0001

Wavelet-HLH

GLDM

Small dependence high gray level emphasis

0.143 ± 0.019

0.128 ± 0.016

 < 0.0001

Original

First order

Skewness

0.323 ± 0.436

0.107 ± 0.447

 < 0.0001

Original

GLDM

Large dependence emphasis

48.3 (38.8, 56.2)

55.6 (50.2, 60.0)

 < 0.0001

Original

GLDM

Correlation

0.911 (0.858, 0.951)

0.819 (0.712, 0.908)

 < 0.0001

  1. GLRLM: gray level run length matrix, GLDM: gray level dependence matrix, GLCM: gray level co-occurrence matrix; H: high wavelet filter; L: low wavelet filter