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Table 1 Linear regression parameters (Pearson correlation coefficient (r), coefficient of determination (R2) and Spearman’s rank-order coefficient (ρ)) computed to evaluate the inter-observer variability according to the radiomics features family

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)
  1. Values reported are mean ± standard deviation (ranges)