Please use this identifier to cite or link to this item: https://doi.org/10.1186/bcr3451
Title: Change of mammographic density predicts the risk of contralateral breast cancer - a case-control study
Authors: Sandberg, M.E.C.
Li, J.
Hall, P.
Hartman, M. 
dos-Santos-Silva, I.
Humphreys, K.
Czene, K.
Keywords: breast density
Contralateral breast cancer
epidemiology
mammographic density
risk
Issue Date: 22-Jul-2013
Source: Sandberg, M.E.C., Li, J., Hall, P., Hartman, M., dos-Santos-Silva, I., Humphreys, K., Czene, K. (2013-07-22). Change of mammographic density predicts the risk of contralateral breast cancer - a case-control study. Breast Cancer Research 15 (4) : -. ScholarBank@NUS Repository. https://doi.org/10.1186/bcr3451
Abstract: Introduction: Mammographic density is a strong risk factor for breast cancer, but it is unknown whether density at first breast cancer diagnosis and changes during follow-up influences risk of non-simultaneous contralateral breast cancer (CBC).Methods: We collected mammograms for CBC-patients (cases, N = 211) and unilateral breast cancer patients (controls, N = 211), individually matched on age and calendar period of first breast cancer diagnosis, type of adjuvant therapy and length of follow-up (mean follow-up time: 8.25 years). The odds of CBC as a function of changes of density during follow-up were investigated using conditional logistic regression, adjusting for non-dense area at diagnosis.Results: Patients who experienced ≥10% absolute decrease in percent density had a 55% decreased odds of CBC (OR = 0.45 95% CI: 0.24 to 0.84) relative to patients who had little or no change in density from baseline to first follow-up mammogram (mean = 1.6 (SD = 0.6) years after diagnosis), whereas among those who experienced an absolute increase in percent density we could not detect any effect on the odds of CBC (OR = 0.83 95% CI: 0.24 to 2.87). Conclusion: Decrease of mammographic density within the first two years after first diagnosis is associated with a significantly reduced risk of CBC, this potential new risk predictor can thus contribute to decision-making in follow-up strategies and treatment. © 2013 Sandberg et al.; licensee BioMed Central Ltd.
Source Title: Breast Cancer Research
URI: http://scholarbank.nus.edu.sg/handle/10635/108892
ISSN: 14655411
DOI: 10.1186/bcr3451
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