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Dataset Information

One versus Two Breast Density Measures to Predict 5- and 10-Year Breast Cancer Risk.


ABSTRACT:

Background

One measure of Breast Imaging Reporting and Data System (BI-RADS) breast density improves 5-year breast cancer risk prediction, but the value of sequential measures is unknown. We determined whether two BI-RADS density measures improve the predictive accuracy of the Breast Cancer Surveillance Consortium 5-year risk model compared with one measure.

Methods

We included 722,654 women of ages 35 to 74 years with two mammograms with BI-RADS density measures on average 1.8 years apart; 13,715 developed invasive breast cancer. We used Cox regression to estimate the relative hazards of breast cancer for age, race/ethnicity, family history of breast cancer, history of breast biopsy, and one or two density measures. We developed a risk prediction model by combining these es

SUBMITTER: Kerlikowske K 

PROVIDER: S-EPMC4452451 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature