• Breast · Aug 2019

    Observational Study

    Changes in mammographic density over time and the risk of breast cancer: An observational cohort study.

    • Marta Román, Maria Sala, Marisa Baré, Margarita Posso, Carmen Vidal, Javier Louro, Mar Sánchez, Lupe Peñalva, Xavier Castells, and BELE study group.
    • Department of Epidemiology and Evaluation, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Research Network on Health Services in Chronic Diseases (REDISSEC), Barcelona, Spain.
    • Breast. 2019 Aug 1; 46: 108-115.

    BackgroundThe effect of changes in mammographic density over time on the risk of breast cancer remains inconclusive.MethodsWe used information from four centres of the Breast Cancer Screening Program in Spain in the period 1996-2015. We analysed individual level data from 117,388 women first screened age 50-54, with at least two screening examinations. Breast density was determined using the BI-RADS classification (A to D in increasing order) at earliest and latest screening examination. Adjusted Poisson regression models were used to estimate the relative risk (RR) and 95% confidence intervals (95%CI) of the association between changes in mammographic density and breast cancer risk over time.ResultsDuring an average 5.8 years of follow-up, 1592 (1.36%) women had a breast cancer diagnosis. An increase in density category increased breast cancer risk, and a decrease in density decreased the risk, compared with women who remained in the same BI-RADS category. Women whose density category increased from B to C or B to D had a RR of 1.55 (95%CI = 1.24-1.94) and 2.32 (95%CI = 1.48-3.63), respectively. The RR for women whose density increased from C to D was 1.51 (95%CI = 1.03-2.22). Changes in BI-RADS density were similarly associated with the risk for invasive cancer than for ductal carcinoma in situ.ConclusionsAlthough a modest proportion of women changed BI-RADS density category, mammographic density changes modulated the risk of breast cancer and identified women at a differential risk. Using two longitudinal measures of BI-RADS density could help target women for risk-based screening strategies.Copyright © 2019 Elsevier Ltd. All rights reserved.

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