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. 2024 Feb 8;25(4):343–350. doi: 10.3348/kjr.2023.0907

Table 1. Median abnormality scores assigned by AI-CAD according to clinical and radiological characteristics of the 656 breasts.

Variable n (%) Median score (IQR) P *
Indication < 0.001
Screening 312 (48) 26 (15, 51)
Diagnostic 344 (52) 52 (21, 95)
Palpability < 0.001
Yes 287 (44) 61 (27, 97)
No 369 (56) 24 (15, 51)
Density < 0.001
Category A 16 (2) 61 (39, 99)
Category B 82 (13) 71 (26, 98)
Category C 347 (53) 32 (18, 76)
Category D 211 (32) 29 (16, 56)
Density (binary) < 0.001
Fatty 98 (15) 70 (26, 99)
Dense 558 (85) 31 (17, 66)
Finding < 0.001
Asymmetry 115 (18) 30 (17, 58)
Distortion 13 (2) 63 (30, 70)
Mass 145 (22) 74 (37, 97)
Mass with microcalcifications 66 (10) 98 (61, 100)
Microcalcifications only 159 (24) 33 (20, 61)
Negative 158 (24) 18 (13, 27)

*P-values are for comparing the median scores and were calculated using the Mann-Whitney U test for indication, palpability, and density and using the Kruskal-Wallis test for density and finding.

AI-CAD = artificial intelligence-based computer-aided diagnosis, IQR = interquartile range