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Table 2 Summary of image features and objective quantitative features in subgroups of interest

From: Identifying factors that may influence the classification performance of radiomics models using contrast-enhanced mammography (CEM) images

Image features Category Benign lesions P value Malignant lesions P value
High
Misclassification
Probability
(n = 5)
Low
Misclassification
Probability
(n = 32)
High
Misclassification
Probability
(n = 11)
Low
Misclassification
Probability
(n = 69)
Lesion size a / 31.3 ± 11.8 11.8 ± 9.2 0.003 17.0 ± 6.0 34.4 ± 16.8 <  0.001
Breast density a-b 1/5 (40.0) 2/32 (6.3) 0.362 2/11 (18.2) 23/69 (33.3) 0.488
  c-d 4/5 (60.0) 30/32 (93.8)   9/11 (81.8) 46/69 (66.7)  
Degree of BPE Minimal or mild 1/5 (20.0) 14/32 (43.8) 0.629 10/11 (90.9) 52/69 (75.4) 0.440
  Moderate or marked 4/5 (80.0) 18/32 (56.3) 1/11 (9.1) 17/69 (24.6)
Rim artifact Absent 1/5 (20.0) 31/32 (96.9) <  0.001 10/11 (90.9) 59/69 (85.5) 0.999
  Present 4/5 (80.0) 1/32 (3.1) 1/11 (9.1) 10/69 (14.5)
Ripple artifact Absent 3/5 (60.0) 31/32 (96.9) 0.042 6/11 (54.5) 33/69 (47.8) 0.753
  Present 2/5 (40.0) 1/32 (3.1) 5/11 (45.5) 36/69 (52.2)
Vascular artifact Absent 4/5 (80.0) 29/32 (90.6) 0.456 9/11 (81.8) 48/69 (69.6) 0.497
  Present 1/5 (20.0) 3/32 (9.4) 2/11 (18.2) 21/69 (30.4)
Air trapping artifact Absent 5/5 (100.0) 31/32 (96.9) 0.255 7/11 (63.6) 57/69 (82.6) 0.217
  Present 0/5 (0.0) 1/32 (3.1) 4/11 (36.4) 12/69 (17.4)
SNR a / 467.6 ± 100.8 143.9 ± 87.3 <  0.001 224.1 ± 75.9 410.4 ± 130.0 <  0.001
CNR a / 539.7 ± 73.8 149.5 ± 98.4 <  0.001 247.3 ± 92.1 505.2 ± 179.9 <  0.001
BCR a / 299.8 ± 38.4 83.8 ± 53.4 <  0.001 133.6 ± 49.7 265.7 ± 93.8 <  0.001
  1. BPE background parenchymal enhancement, SNR signal-to-noise ratio, CNR contrast-to-noise ratio, BCR background contrast ratio
  2. a Data are shown as the mean values ± standard deviations. Other data are shown as proportions with percentages in parentheses