From: MRI-based radiomics to predict lipomatous soft tissue tumors malignancy: a pilot study
Size | Shape | Intensity distribution | GLCM | GLRLM | GLZSM | NGTDM | Gabor filtering | |
---|---|---|---|---|---|---|---|---|
r | 0.89 ± 0.04 (0.84–0.93) | 0.58 ± 0.20 (0.27–0.89) | 0.90 ± 0.16 (0.49–0.99) | 0.77 ± 0.08 (0.59–0.86) | 0.76 ± 0.13 (0.57–0.95) | 0.77 ± 0.17 (0.49–0.99) | 0.82 ± 0.08 (0.73–0.93) | 0.98 ± 0.02 (0.96–0.997) |
R2 | 0.80 ± 0.08 (0.70–0.86) | 0.38 ± 0.24 (0.07–0.79) | 0.83 ± 0.24 (0.24–0.98) | 0.6 ± 0.12 (0.35–0.74) | 0.6 ± 0.2 (0.33–0.89) | 0.62 ± 0.26 (0.24–0.99) | 0.67 ± 0.13 (0.54–0.86) | 0.96 ± 0.04 (0.92–0.99) |
ρ | 0.92 ± 0.01 (0.90–0.93) | 0.62 ± 0.17 (0.46–0.93) | 0.86 ± 0.06 (0.72–0.92) | 0.77 ± 0.04 (0.68–0.81) | 0.74 ± 0.06 (0.57–0.81) | 0.74 ± 0.01 (0.53–0.84) | 0.87 ± 0.06 (0.77–0.92) | 0.88 ± 0.02 (0.85–0.91) |