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Insights into Imaging

Table 3 Comparison between FOR-PROCESSING and FOR-PRESENTATION features computed on “dense” area and “non-dense” area

From: Radiomic features of breast parenchyma: assessing differences between FOR PROCESSING and FOR PRESENTATION digital mammography

Feat group Feature name w r (dense) r (no dense) Can Cor PD FOR PRES dense PD FOR PROC dense PD FOR PRES no-dense PD FOR PROC no-dense
1st or 10 percentile   0.99 1.00 1.00 − 0.21 − 0.16 − 0.15 − 0.17
  90 percentile   0.99 1.00 1.00 − 0.21 − 0.11 − 0.16 − 0.15
  Energy   1.00 1.00 1.00 0.51 0.54 − 0.45 − 0.45
  Entropy   0.57 0.64 0.71 0.13 0.55 0.25 0.39
  Interquartile Range   0.50 0.30 0.50 0.17 0.71 − 0.24 0.36
  Kurtosis   0.57 0.92 0.92 − 0.37 − 0.62 (a) − 0.15
  Maximum   0.78 0.57 0.84 − 0.20 − 0.12 − 0.35 − 0.15
  Mean Absolute Deviation   0.47 0.61 0.76 (a) 0.66 − 0.15 0.13
  Mean   0.99 1.00 1.00 − 0.21 − 0.13 − 0.17 − 0.17
  Median   1.00 1.00 1.00 − 0.20 − 0.13 − 0.17 − 0.18
  Minimum   0.97 – 0.98 − 0.24 − 0.16 – –
  Range   0.59 0.57 0.80 (a) 0.42 − 0.35 − 0.15
  Robust Mean Absolute Deviation   0.49 0.29 0.52 0.15 0.71 − 0.26 0.28
  Root mean squared   0.99 1.00 1.00 − 0.21 − 0.13 − 0.16 − 0.17
  Skewness (a) 0.64 0.92 0.92 − 0.49 − 0.58 (a) 0.13
  Total energy   1.00 1.00 1.00 0.51 0.54 − 0.45 − 0.45
  Uniformity   0.55 0.61 0.74 − 0.16 − 0.59 − 0.23 − 0.45
  Variance   0.44 0.94 0.99 (a) 0.60 (a) 0.08
glcm Autocorrelation   0.51 0.40 0.55 0.31 0.36 0.21 − 0.31
  Cluster Prominence   0.39 0.71 0.53 − 0.16 0.35 0.18 0.06
  Cluster Shade   0.40 0.57 0.50 − 0.37 (a) − 0.15 − 0.06
  Cluster tendency   0.50 0.68 0.70 (a) 0.48 0.21 0.14
  Contrast   0.69 0.69 0.80 − 0.15 − 0.44 0.39 0.32
  Correlation   0.63 0.77 0.73 0.34 0.66 − 0.35 − 0.26
  Difference average   0.71 0.73 0.77 − 0.11 − 0.39 0.37 0.48
  Difference entropy   0.71 0.75 0.79 − 0.12 − 0.39 0.35 0.50
  Difference variance   0.68 0.76 0.85 − 0.21 − 0.51 0.40 0.30
  Inverse Difference (ID) (a) 0.72 0.72 0.78 (a) 0.36 − 0.32 − 0.47
  Inverse Difference Moment (IDM) (a) 0.72 0.72 0.78 (a) 0.36 − 0.31 − 0.47
  Inverse Difference Moment Normalized (IDMN)   0.70 0.70 0.79 0.14 0.43 − 0.39 − 0.33
  Inverse Difference Normalized (IDN)   0.71 0.74 0.77 (a) 0.38 − 0.36 − 0.49
  Informational Measure of Correlation (IMC) 1   0.66 0.67 0.70 − 0.30 − 0.65 0.38 0.48
  Informational Measure of Correlation (IMC) 2   0.65 0.70 0.68 0.32 0.67 − 0.31 − 0.12
  Inverse Variance (a) 0.72 (a) 0.78 (a) 0.35 − 0.31 − 0.10
  Joint Average   0.47 0.42 0.58 0.32 0.29 0.21 − 0.29
  Joint Energy   0.66 0.64 0.75 (a) − 0.28 − 0.28 − 0.49
  Joint Entropy   0.69 0.68 0.79 (a) 0.17 0.30 0.46
  Maximal Correlation Coefficient (MCC)   0.48 0.73 0.75 (a) 0.60 − 0.43 − 0.61
  Maximum Probability (a) 0.60 0.61 0.75 − 0.12 − 0.36 − 0.30 − 0.49
  Sum Average   0.47 0.42 0.58 0.32 0.29 0.21 − 0.29
  Sum entropy   0.59 0.64 0.71 0.15 0.54 0.24 0.40
  Sum squares   0.49 0.66 0.66 (a) 0.44 0.25 0.16
glszm Gray Level Non Uniformity   0.88 0.89 0.92 0.72 0.50 − 0.56 − 0.62
  Gray Level Non Uniformity Normalized   0.54 0.65 0.72 − 0.15 − 0.59 − 0.29 − 0.52
  Gray Level Variance   0.46 0.64 0.72 (a) 0.46 0.39 0.43
  High Gray Level Zone Emphasis   0.52 0.29 0.49 0.30 0.40 0.21 − 0.43
  Large Area Emphasis   0.74 0.22 0.44 0.16 0.40 − 0.18 − 0.51
  Large Area High Gray Level Emphasis   0.71 0.74 0.60 0.56 0.60 − 0.17 − 0.50
  Large Area Low Gray Level Emphasis   0.43 0.88 0.96 − 0.15 0.16 (a) − 0.17
  Low Gray Level Zone Emphasis   0.25 0.72 0.65 − 0.35 (a) − 0.13 − 0.04
  Size Zone Non Uniformity   0.89 0.74 0.90 0.64 0.71 − 0.29 − 0.41
  Size Zone Non Uniformity Normalized   0.75 − 0.38 0.78 − 0.18 − 0.39 0.17 − 0.49
  Small Area Emphasis   0.75 − 0.37 0.78 − 0.18 − 0.39 0.17 − 0.49
  Small Area High Gray Level Emphasis   0.52 0.18 0.50 0.25 0.33 0.22 − 0.47
  Small Area Low Gray Level Emphasis   0.22 0.40 0.29 − 0.40 − 0.15 − 0.21 − 0.29
  Zone Entropy (a) 0.73 0.28 0.75 0.40 0.66 0.12 0.52
  Zone Percentage   0.75 0.68 0.79 − 0.16 − 0.39 0.22 0.24
  Zone Variance   0.74 0.20 0.43 0.15 0.40 − 0.17 − 0.51
glrlm Gray Level Non Uniformity   0.89 0.88 0.89 0.66 0.50 − 0.61 − 0.62
  Gray Level Non Uniformity Normalized   0.55 0.62 0.74 − 0.16 − 0.59 − 0.24 − 0.49
  Gray Level Variance   0.49 0.53 0.66 (a) 0.47 0.36 0.28
  High Gray Level Run Emphasis   0.52 0.37 0.52 0.31 0.39 0.21 − 0.36
  Long Run Emphasis   0.74 0.63 0.75 0.15 0.39 − 0.26 − 0.33
  Long Run High Gray Level Emphasis (a) 0.50 0.68 0.84 0.36 0.47 (a) − 0.32
  Long Run Low Gray Level Emphasis (a) 0.29 0.98 0.96 − 0.29 (a) (a) − 0.02
  Low Gray Level Run Emphasis   0.24 0.78 0.75 − 0.34 (a) 0.43 0.33
  Run Entropy   0.60 0.66 0.71 0.23 0.61 0.20 0.20
  Run Length Non Uniformity   0.98 0.71 0.98 0.79 0.80 − 0.47 − 0.24
  Run Length Non Uniformity Normalized   0.75 0.68 0.80 − 0.16 − 0.39 0.21 0.26
  Run Percentage   0.75 0.69 0.79 − 0.16 − 0.39 0.21 0.31
  Run Variance   0.74 0.55 0.73 0.15 0.39 − 0.26 − 0.34
  Short Run Emphasis   0.75 0.68 0.79 − 0.16 − 0.39 0.21 0.24
  Short Run High Gray Level Emphasis   0.52 0.18 0.48 0.29 0.37 0.23 − 0.02
  Short Run Low Gray Level Emphasis   0.23 0.70 0.62 − 0.36 (a) 0.28 0.16
  1. The columns have the following meanings: w: results of paired Wilcoxon test between FOR-PROCESSING and FOR PRESENTATION: as regads dense-area non-significant (p > 0.05) test have been marked with “(a)”; as regads no-dense area all features were significantly different; r: Spearman’s correlation coefficient (they are all statistically significant, p < 0.05); CanCor: canonical correlation (see text for details); PD-FOR-PRES and PD-FOR-PROC: Spearman’s correlation coefficient between PD and features computed on FOR-PRES and FOR-PROC respectively, non-significant correlation (p > 0.05) have been marked with (a). For feature named ‘Minimum’ it was not possible to compute Spearman correlation on no-dense area because the value is always 0
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