Table 1 Characteristics for the different datasets
From: Mammo-AGE: deep learning estimation of breast age from mammograms
Internal datasets | External datasets | ||||
|---|---|---|---|---|---|
Dataset | Inhouse | RSNA | VinDr | EMBED | CMMD |
Total n exams (patients) | 18,828 (5048) | 11,905 (11,905) | 4335 (4335) | 58,983 (21,434) | 1775 (1775) |
Country | Netherlands | Australia and America | Vietnam | America | China |
Age | |||||
Mean (SD); years | 51.97 (11.67) | 58.64 (9.88) | 45.10 (9.77) | 58.95 (11.94) | 47.56 (10.81) |
Minimum-maximum | 23–89 | 26–89 | 18–88 | 19–89 | 18–87 |
Breast density | |||||
ACR A | |||||
Total n exams | 1187 (6.3%) | 553 (4.6%) | 22 (0.5%) | 6144 (10.4%) | NA |
Age, mean (SD); years | 56.37 (10.87) | 60.34 (10.61) | 59.59 (9.80) | 62.63 (11.17) | NA |
ACR B | |||||
Total n exams | 10,843 (57.6%) | 2509 (21.1%) | 381 (8.8%) | 24,603 (41.7%) | NA |
Age, mean (SD); years | 53.83 (11.50) | 59.98 (11.06) | 55.66 (9.86) | 61.19 (11.41) | NA |
ACR C | |||||
Total n exams | 4919 (26.1%) | 2432 (20.4%) | 3319 (76.6%) | 24,663 (41.8%) | NA |
Age, mean (SD); years | 48.99 (11.14) | 54.80 (10.99) | 44.94 (8.87) | 56.83 (11.79) | NA |
ACR D | |||||
Total n exams | 1857 (9.9%) | 307 (2.6%) | 613 (14.1%) | 3217 (5.5%) | NA |
Age, mean (SD); years | 46.02 (10.48) | 50.41 (10.14) | 38.90 (8.35) | 51.04 (11.44) | NA |
Unknown | |||||
Total n exams | 22 (0.1%) | 6104 (51.3%) | NA | 238 (0.4%) | 1775 (100.0%) |
Age, mean (SD); years | 64.14 (13.18) | 59.87 (8.06) | NA | 57.68 (13.86) | 47.56 (10.81) |
Breast cancer | |||||
Negative | |||||
Total n exams | 18,213 (96.7%) | 11,419 (95.9%) | 4250 (98.0%) | 58,430 (99.1%) | 465 (26.2%) |
Age, mean (SD); years | 51.78 (11.61) | 58.43 (9.83) | 44.86 (9.57) | 58.91 (11.93) | 42.36 (9.46) |
Positive | |||||
Total n exams | 615 (3.3%) | 486 (4.1%) | 85 (2.0%) | 553 (0.9%) | 1310 (73.8%) |
Age, mean (SD); years | 57.61 (11.97) | 63.49 (9.87) | 57.06 (11.89) | 62.31(13.31) | 49.41 (10.66) |
Race | |||||
White | |||||
Total n exams | 6146 (32.6%) | NA | - | 25,340 (43.0%) | - |
Age, mean (SD); years | 48.92 (10.90) | NA | - | 61.15 (12.00) | - |
African | |||||
Total n exams | 55 (0.3%) | NA | - | 25,899 (43.9%) | - |
Age, mean (SD); years | 52.13 (14.78) | NA | - | 58.43 (11.63) | - |
Asian | |||||
Total n exams | 108 (0.6%) | NA | 4335 (100.0%) | 3295 (5.6%) | 1775 (100.0%) |
Age, mean (SD); years | 48.49 (10.57) | NA | 45.10 (9.77) | 54.37 (10.99) | 47.56 (10.81) |
Other or Unknown | |||||
Total n exams | 12,519 (66.5%) | NA | - | 4449 (7.5%) | - |
Age, mean (SD); years | 53.50 (11.73) | NA | - | 52.76 (10.56) | - |
Manufacturer information | |||||
Selenia dimensions | NA | Mammomat inspiration | Lorad selenia | NA | |
Lorad selenia | GIOTTO CLASS | Selenia dimensions | |||
Hologic selenia | GIOTTO IMAGE 3DL | Senograph 2000D ADS_17.4.5 | |||
Planmed nuance | Senograph 2000D ADS_17.5 | ||||
Senographe essential VERSION ADS_53.40 | |||||
Senographe pristina | |||||
