Nguyen TL, Schmidt DF, Makalic E, et al. - This study was sought to construct two novel mammogram‐based breast cancer risk measures based on image brightness (Cirrocumulus) and texture (Cirrus). Researchers applied three studies consisting of : 168 interval cases and 498 matched controls; 422 screen‐detected cases and 1197 matched controls; and 354 younger‐diagnosis cases and 944 controls frequency‐matched for age at a mammogram. They performed conditional and unconditional logistic regression analyses of individually‐ and frequency‐matched studies, respectively. They computed measure‐specific risk gradients as the change in odds per standard deviation of controls after adjusting for age and body mass index (OPERA) and estimated the area under the receiver operating characteristic curve (AUC). The results of this study indicated that these new mammogram‐based measures have twice the risk gradient for screen‐detected and younger‐diagnosis breast cancer (P ≤ 10⁻¹²), have at least the same discriminatory power as the current polygenic risk score, and are more correlated with causal factors than conventional mammographic density. The outcomes revealed that discovering more information about breast cancer risk from mammograms could help enable risk‐based personalized breast screening.