A Prospective Study of Breast Cancer Risk Using Routine Mammographic Breast Density Measurements
Mammographic breast density is a major risk factor for breast cancer but estimates of the relative risk associated with differing density patterns have varied widely. It is also unclear how menopausal status influences this association and to what extent the effects of density are due to its correla...
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Published in | Cancer epidemiology, biomarkers & prevention Vol. 13; no. 5; pp. 715 - 722 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Philadelphia, PA
American Association for Cancer Research
01.05.2004
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Subjects | |
Online Access | Get full text |
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Summary: | Mammographic breast density is a major risk factor for breast cancer but estimates of the relative risk associated with differing
density patterns have varied widely. It is also unclear how menopausal status influences this association and to what extent
the effects of density are due to its correlation with other risk factors. Most recent investigations of breast density have
been case-control studies, which provide indirect estimates of relative risk. We have prospectively followed 61,844 women
for an average of 3.1 years to directly estimate risk among women in the four mammographic breast density categories defined
by the American College of Radiology's Breast Imaging Reporting and Data System (BI-RADS). The study was population-based
and used density assessments routinely made by community radiologists. Cox regression was used to obtain age-adjusted relative
risk estimates and to control for other risk factors. Risk increased with density and the risk associated with extremely dense
breasts, relative to entirely fatty breasts, was 4.6 (95% confidence interval, 1.7–12.6) for premenopausal women and 3.9 (95%
confidence interval, 2.6–5.8) for postmenopausal women. Estimates for pre- and postmenopausal women did not differ significantly.
Although breast density was significantly related to body mass index, age at first childbirth, and postmenopausal hormone
use ( P < 0.001), adjustment for these variables only slightly altered the relative risk estimates. Our results correspond well to
those from case-control studies using more quantitative measures of mammographic breast density and suggest that routine Breast
Imaging Reporting and Data System density measurements may be useful in models for assessing breast cancer risk in individual
women. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1055-9965 1538-7755 |
DOI: | 10.1158/1055-9965.715.13.5 |