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Table 1 Remaining features and the corresponding coefficients in multivariate logistic regression model

From: Exploring the diagnostic effectiveness for myocardial ischaemia based on CCTA myocardial texture features

Texture features

Estimate

(Intercept)

 − 1.022

RelativeDeviation

0.886

VoxelValueSum

 − 1.696

histogramEntropy

 − 0.404

skewness

 − 0.228

Correlation_AllDirection_offset7_SD

0.440

GLCMEntropy_angle45_offset7

0.096

HaralickCorrelation_angle90_offset7

0.065

RunLengthNonuniformity_AllDirection_offset7_SD

1.625

ShortRunEmphasis_AllDirection_offset4_SD

0.942

ShortRunEmphasis_angle45_offset7

1.508

ShortRunLowGreyLevelEmphasis_AllDirection_offset1_SD

0.820

ShortRunLowGreyLevelEmphasis_AllDirection_offset7_SD

 − 4.241

SizeZoneVariability

 − 0.531

LowIntensitySmallAreaEmphasis

 − 0.252