Background: Risk prediction models for breast cancer can be improved by the addition of
recently identified risk factors, including breast density and use of hormone therapy. We …

Background. Estimating an individual woman's absolute risk for breast cancer is essential for
decision making about screening and preventive recommendations. Although the current …

Background Several breast cancer risk-assessment models exist. Few studies have
evaluated predictive accuracy of multiple models in large screening populations. Methods …

Background: Current models for assessing breast cancer risk are complex and do not
include breast density, a strong risk factor for breast cancer that is routinely reported with …

Background Most mammography screening programs are not individualized. To efficiently
screen for breast cancer, the individual risk of the disease should be determined. We …

BACKGROUND: In 1989, Gail and colleagues developed a model for estimating the risk of
breast cancer in women participating in a program of annual mammographic screening …

Background Estimating advanced breast cancer risk in women undergoing annual or
biennial mammography could identify women who may benefit from less or more intensive …

Purpose Assessment of a woman's risk of breast cancer is essential when moving towards
personalized screening. Breast density is a well-known risk factor and has the potential to …

Abstract Background: The Gail et al. model is considered the best available means for
estimating an individual woman's risk of developing breast cancer. Such estimates are …

Importance Many established breast cancer risk factors are used in clinical risk prediction
models, although the proportion of breast cancers explained by these factors is unknown …