Nguyen TL, Li S, Dite GS, et al. - Via a nested case-control study within the Melbourne Collaborative Cohort Study involving 168 individuals with interval breast cancer and 498 matched controls, researchers created a risk model for interval breast cancer. The more robust risk relationships were for unadjusted percent breast density, more so following adjusting for age and BMI, and for family history. The AUC was 0.73, similar to a ninefold inter-quartile risk ratio when the following two factors and their multiplicative synergies with age-adjusted breast tissue aging were implemented. In conclusion, risk differentiation for interval breast cancers could be doubled by rather using breast density, BMI, family history and hormonal exposure, in comparison with using dense breasts alone. Moreover, this would also provide more knowledge regarding the major consequence of having dense breasts, ie, a heightened risk of acquiring an interval breast cancer, to women with dense breasts, and their doctors.