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. Author manuscript; available in PMC: 2016 May 19.
Published in final edited form as: Ann Intern Med. 2015 May 19;162(10):673–681. doi: 10.7326/M14-1465

Table 4. False-positive rate of digital mammography for detecting invasive cancer by breast density and age and breast density and BCSC 5-year risk.

BI-RADS Breast Density*
Almost entirely fat Scattered fibroglandular densities Heterogeneously dense Extremely dense
Age (years) False-positive rate per 1000 mammograms (95% CI)
 40 – 49 65 (61, 69) 123 (120, 125) 147 (145, 149) 113 (110, 117)
 50 – 59 53 (51, 56) 94 (93, 96) 117 (115, 119) 95 (91, 99)
 60 – 69 51 (48, 53) 82 (81, 84) 100 (98, 102) 74 (69, 80)
 70 – 74 50 (46, 55) 77 (74, 80) 95 (91, 99) 62 (51, 74)
BCSC 5-year risk
 0 - <1.00% 53 (52, 55) 106 (104, 108) 131 (129, 134) 96 (91, 101)
 1.00-1.66% 54 (51, 57) 91 (89, 92) 125 (123, 128) 99 (95, 103)
 1.67-2.49% 55 (50, 60) 86 (84, 89) 115 (113, 118) 107 (102, 113)
 ≥2.50% 65 (52, 81) 90 (87, 93) 119 (117, 122) 101 (96, 106)
*

Breast Imaging Reporting and Data System (BI-RADS); CI, confidence interval

Breast Cancer Surveillance Consortium (BCSC) 5-year risk calculated using age, race, first degree family history of breast cancer, history of breast biopsy, BI-RADS density. Risk categories are defined as low (0-<1.00%), average (1.00-1.66%), intermediate (1.67%-2.49%), high (2.5%-3.99%) and very high (>3.99%).

Bold numbers outside minimally accepted cut-points: false-positive rate >120/1000 mammograms.