Brentnall AR, et al. - In a cohort study of 132,139 women attending screening from 1996 to 2014, researchers investigated the accuracy of breast cancer risk assessment during a period of 19 years. They assessed risk factors via questionnaire and breast density from the Breast Imaging and Reporting Data System at entry; the Tyrer-Cuzick model was used to assess primary risk. The Tyrer-Cuzick model with mammographic density was noted to be well calibrated (2,699 cases observed; 2,757 cases expected), with no meaningful loss in calibration to 19 years after assessment. Findings thus suggested that breast cancer risk assessment combining classic risk factors with mammographic density may be helpful in providing data for ≥ 10 years and could be used to guide long-term, systematic, risk-adapted screening and prevention strategies.