Background: Lifetime risk assessment tools are relatively limited in identifying breast cancer risk in younger women. The predictive value of mathematical models to estimate risk varies according to age, menopausal status, race/ethnicity, and family history. Current risk prediction models estimate population, not individual, levels of breast cancer risk; hence, individualized risk prediction models are needed to identify younger at-risk women who could benefit from timely risk reduction interventions. Clinical data ...
A research consortium including Windber Research Institute (WRI), the US Army Space and Missile Defense Command (USASMDC), the Joyce Murtha Breast Care Center (JMBCC), and the Clinical Breast Care Project (CBCP) Walter Reed Army Medical Center (WRAMC) has been formed to evaluate the use of minimally-invasive methods for screening including mammography, ultrasound, proteomics and genomics, in the serum and breast for early detection of markers for risk of disease or ...
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