Research Article

Differentiation of Pelvic Osteosarcoma and Ewing Sarcoma Using Radiomic Analysis Based on T2-Weighted Images and Contrast-Enhanced T1-Weighted Images

Table 3

Radiomic features used in the analysis.

Radiomic feature typeReferencesRadiomic features

HistogramSutton [18]Mean, variance, uniformity, skewness, kurtosis, energy, entropy
Form factor/Volume CC, surface, surface volume ratio, compactness, maximum 3D diameter
Haralick and GLCMHaralick et al. [14]Entropy, inertia, inverse difference moment
GLRLMGalloway [15]Short run emphasis, long run emphasis, gray-level nonuniformity, run-length nonuniformity, run percentage
Chu et al. [16]Low gray-level run emphasis, high gray-level run emphasis
Dasarathy and Holder [17]Short run low gray-level emphasis, short run high gray-level emphasis, long run low gray-level emphasis, long run high gray-level emphasis

Note: GLCM = gray-level cooccurrence matrix; GLRLM = gray-level run length matrix.