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. 2023 Mar 30;13(4):609. doi: 10.3390/jpm13040609

Table 2.

Classification of breast density performed by radiologists and the Quantra software (QDC).

Density Category Radiologists Consensus QDC
1 2 3
Total (1075)
A 166 (15.4%) 163 (15.1%) 218 (20.3%) 179 (16.6%) 123 (11.5%)
B 492 (45.8%) 462 (43%) 367 (34.1%) 447 (41.6%) 425 (39.5%)
Non-dense 658 (61.2%) 625 (58.1%) 585 (54.4%) 626 (58.2%) 548 (51%)
C 354 (32.9%) 392 (36.5%) 409 (38.1%) 385 (35.8%) 445 (41.4%)
D 63 (5.9%) 58 (5.4%) 81 (7.5%) 64 (6%) 82 (7.6%)
Dense 417 (38.8%) 450 (41.9%) 490 (45.6%) 449 (41.8%) 527 (49%)
40–49 (87)
A 4 (4.6%) 4 (4.6%) 5 (5.8%) 3 (3.5%) 3 (3.4%)
B 27 (31%) 18 (20.7%) 15 (17.2%) 21 (24.1%) 14 (16.1%)
Non-dense 31 (35.6%) 22 (25.3%) 20 (23%) 24 (27.6%) 17 (19.5%)
C 41 (47.1%) 54 (62.1%) 53 (60.9%) 50 (57.5%) 54 (62.1%)
D 15 (17.3%) 11 (12.6%) 14 (16.1%) 13 (14.9%) 16 (18.4%)
Dense 56 (64.4%) 65 (74.7%) 67 (77%) 63 (72.4%) 70 (80.5%)
50–69 (997)
A 150 (16.2%) 148 (16%) 196 (21.1%) 164 (17.7%) 114 (12.3%)
B 433 (46.7%) 410 (44.2%) 328 (35.4%) 395 (42.6%) 377 (40.7%)
Non-dense 583 (62.9%) 558 (60.2%) 524 (56.5%) 559 (60.3%) 491 (53%)
C 297 (32%) 323 (34.8%) 338 (36.5%) 318 (34.3%) 372 (40.1%)
D 47 (5.1%) 46 (5%) 65 (7.0%) 50 (5.4%) 64 (6.9%)
Dense 344 (37.1%) 369 (39.8%) 403 (43.5%) 368 (39.7%) 436 (47%)
>70 (61)
A 12 (19.7%) 11 (18%) 17 (27.9%) 12 (19.7%) 6 (9.8%)
B 32 (52.5%) 34 (55.8%) 24 (39.3%) 31 (50.8%) 34 (55.8%)
Non-dense 44 (72.2%) 45 (73.8%) 41 (67.2%) 43 (70.5%) 40 (65.6%)
C 16 (26.2%) 15 (24.6%) 18 (29.5%) 17 (27.9%) 19 (31.1%)
D 1 (1.6%) 1 (1.6%) 2 (3.3%) 1 (1.6%) 2 (3.3%)
Dense 17 (27.8%) 16 (26.2%) 20 (32.8%) 18 (29.5%) 21 (34.4%)