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. 2019 Feb 28;5(5):635–642. doi: 10.1001/jamaoncol.2018.7078

Table 2. Outcomes by Age, Breast Density, and Mammography Typea.

Mammography Type, Age, Breast Density Patients With 1 y of Follow-up, No. Biopsy Rate, Per 1000 Examinations Cancers, No. Cancer Rate, per 1000 Examinations Cancer Detection Rate, per 1000 Examinations Sensitivity, % Specificity, % Positive Predictive Value–1, %b Positive Predictive Value–3, %b
Digital Mammography
40-49 y
Nondense 13 634 17.68 39 2.86 2.71 94.9 84.9 1.78 15.35
Dense 13 655 29.00 51 3.73 2.93 78.4 82.3 1.64 11.62
50-64 y
Nondense 36 729 14.40 146 3.98 3.68 92.5 91.1 3.97 26.47
Dense 17 065 21.68 100 5.86 5.51 94.0 89.1 4.82 26.49
65-74 y
Nondense 16 301 16.99 116 7.12 6.75 94.8 92.2 8.03 41.16
Dense 4589 26.15 41 8.93 7.63 85.4 90.6 7.53 33.33
All 101 973 18.96 493 4.83 4.42 91.5 88.9 3.85 24.57
Digital Breast Tomosynthesis
40-49 y
Nondense 4305 28.34 19 4.41 4.41 100 89.6 4.09 15.57
Dense 4037 35.42 28 6.94 5.20 75.0 86.0 3.60 19.58
50-64 y
Nondense 8194 23.92 35 4.27 4.03 94.3 93.2 5.61 17.35
Dense 4345 28.31 36 8.29 7.59 91.7 94.4 8.25 27.64
65-74 y
Nondense 3113 27.95 33 10.60 9.64 90.9 94.4 14.78 36.78
Dense 939 30.88 9 9.58 9.58 100 93.9 13.64 31.03
All 24 933 28.08 160 6.42 5.82 90.6 91.3 6.29 22.29
a

Breast density was based on fourth edition Breast Imaging Reporting and Data System (BI-RADS)20 categories (1, almost entirely fat; 2, scattered fibroglandular densities; 3, heterogeneously dense; and 4, extremely dense) collapsed into nondense (BI-RADS 1 or 2) and dense (BI-RADS 3 or 4).

b

Positive predictive value–1 was defined as the number of examinations with cancer detected among those with positive screenings, and positive predictive value–3 was defined as the number of examinations with cancer detected among those with biopsies performed.