Although overall differences between cancer and non-cancer groups were not statistically significant, the mammography-based AI risk model demonstrated meaningful and statistically significant discrimination in women with extremely dense breasts, outperforming both Tyrer-Cuzick and Gail models. The AI model also showed better separation in ILC and in higher-grade tumors. These findings support the role of image-based AI tools in refining risk assessment in women for whom mammography is least effective and in guiding more targeted use of supplemental MBI screening.
Ogunlade et al. (Wed,) studied this question.