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New model emphasizes breast density as a predictor of breast cancer risk, large study shows

SEATTLE--Breast density is nearly as important as age in determining a woman's risk of developing breast cancer, according to a new model developed by scientists from Group Health and seven other health care organizations in the Breast Cancer Surveillance Consortium (BCSC). Presented in the September 6 issue of the Journal of the National Cancer Institute, the model is based on the largest study of this issue to-date in terms of population size and the number of risk factors examined.

The researchers collected data from more than 1 million women at the time of their screening mammograms. They then identified 11,638 who were diagnosed with breast cancer within the next year. Information on women who did and did not get breast cancer was analyzed to develop and validate risk-prediction models.

Breast density is a measure of how well tissue can be seen on mammogram. Some tissue, such as the milk gland, is dense and appears white on an x-ray. This density makes it hard for doctors to see tumors, which also appear white. Fatty tissue is less dense and appears clear on the x-ray, allowing better tumor detection.

"Although breast cancer is harder to detect in women with dense breasts, our research showed that women with dense breasts are more likely to develop breast cancer," said William E. Barlow, PhD, a researcher with Group Health and the lead author of the article. After adjustment for age, the risk for breast cancer was almost four times greater for women with extremely dense breasts than for a woman with breasts that are almost entirely fat.

The scientists found that several risk factors influenced breast cancer diagnosis. In pre-menopausal women, risk factors included age, breast density, family history of breast cancer, and a prior breast procedure. In postmenopausal women, risk factors included ethnicity, greater body mass index, natural menopause, use of hormone therapy, a prior false-positive mammogram, as well as the
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Contact: Joan DeClaire
declaire.j@ghc.org
206-287-2653
Group Health Cooperative Center for Health Studies
5-Sep-2006


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