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Table 3 Radiomics feature naming convention

From: Preoperative prediction of pathological grade in pancreatic ductal adenocarcinoma based on 18F-FDG PET/CT radiomics

Class

Abbreviation

Description

Modality

PET

Positron emission tomography

CT

Computed tomography

Image Filter

Original

No filter applied

Wavelet-HLH

Wavelet filtering

Square

Takes the square of the image

Gradient

gradient magnitude

lbp-2D

Calculates and returns a local binary pattern applied in 2D

Matrix

firstorder

Voxel intensities within the image ROI through commonly used and basic metrics

glcm

Gray-level co-occurrence matrix

glrlm

Gray-level run length matrix

glszm

Gray-level size zone

Index

Kurtosis

Kurtosis is a measure of the ‘peakedness’ of the distribution of values in the image ROI

Median

The median gray-level intensity within the ROI

Skewness

Skewness measures the asymmetry of the distribution of values about the mean value

Idmn

IDMN (inverse difference moment normalized) is a measure of the local homogeneity of an image

ClusterShade

Cluster shade is a measure of the skewness and uniformity of the GLCM

Imc1

IMC1 assesses the correlation between the probability distributions of i and j in the GLCM

HighGrayLevelRunEmphasis

HighGrayLevelRunEmphasis measures the distribution of the higher gray-level values in the GLRLM

Correlation

Correlation is a value between 0 (uncorrelated) and 1 (perfectly correlated) showing the linear dependency of gray-level values to their respective voxels in the GLCM

LowGrayLevelZoneEmphasis

LGLZE measures the distribution of lower gray-level size zones, with a higher value indicating a greater proportion of lower gray-level values and size zones in the image

SizeZoneNonUniformity

SZN measures the variability of size zone volumes in the image, with a lower value indicating more homogeneity in size zone volumes