A study of over 30,000 digital mammograms identified parenchymal phenotypes, which reflect the internal structure and complexity of breast tissue, and their distinct patterns were found to help predict a woman's risk of breast cancer, including cases missed during routine screening. The research revealed that these phenotypes, beyond breast density, can improve breast cancer prediction, with slightly stronger predictive performance observed in Black women. Integrating these imaging biomarkers into clinical models may enhance personalized screening strategies.

Source: Radiology