Researchers have found that the Breast Cancer Surveillance Consortium (BCSC) risk model, combined with benign breast disease (BBD) diagnoses acurrately estimated women’s risk for breast cancer using breast density and BBD diagnoses, according to a study published online ahead of print in the Journal of Clinical Oncology.

A total of 1,135,977 women age 35 to 74 years undergoing mammography with no history of breast cancer were included in the study. Seventeen percent of the women had a prior breast biopsy.

During a mean follow-up of 6.9 years, 17,908 women were diagnosed with invasive breast cancer. The BCSC BBD model slightly overpredicted risk (expected to observed ratio, 1.04; 95% CI, 1.03, 1.06) and had modest discriminatory accuracy.

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Among women with proliferative findings, adding BBD to the model increased the proportion of women with an estimated 5-year risk of 3% or higher from 9.3% to 27.8% (P<0.001).

Results showed that greater numbers of high-risk women eligible for primary prevention after BBD diagnoses were identified using the BCSC BBD model.


  1. Tice JA, Miglioreti DL, Li C-S Breast density and benign breast disease: risk assessment to identify women at high risk of breast cancer. J Clin Oncol. 2015. [epub ahead of print]. doi: 10.1200/JCO.2015.60.8869