Research Article
Ability of 18F-FDG PET/CT Radiomic Features to Distinguish Breast Carcinoma from Breast Lymphoma
Table 3
Parameters used in each differential model.
| Method | Parameters |
| SUV metrics | SUVmax | ā |
| CT predicted variable | HISTO_kurtosis | SHAPE_volume (mL) | GLCM_homogeneity | GLRLM_RLNU | NGLDM_busyness | GLZLM_LZHGE |
| PET predicted variable | HISTO_entropy_log10 | SHAPE_volume(# vx) | GLCM_entropy_log10 | NGLDM_contrast | GLRLM_HGRE | GLZLM_HGZE |
| Combination of PET and CT texture parameters | HISTO_kurtosis | SHAPE_volume (mL) | GLCM_homogeneity | GLRLM_RLNU | NGLDM_busyness | GLZLM_LZHGE | HISTO_entropy_log10 | SHAPE_volume(# vx) | GLCM_entropy_log10 | NGLDM_contrast | GLRLM_HGRE | GLZLM_HGZE |
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Abbreviations: HISTO, histogram; GLCM, gray-level co-occurrence matrix; GLRLM, gray-level run-length matrix; HGRE, high gray-level run emphasis; GLZLM, gray-level zone-length matrix; HGZE, high gray-level zone emphasis; RLNU, run-length nonuniformity; LZHGE, long-zone high gray-level emphasis.
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