#WorldDenseBreastDay final numbers, New research
World Dense Breast Day
Final event numbers are in and highlight the reach and educational success of the day!
In a snapshot:
- We had participation from people in 64 countries
- Over 12.3 million people saw/read the posts
- Over 28,600 people interacted with a post by clicking, liking or sharing content
Just out in Radiology : Comparison of the Diagnostic Accuracy of Mammogram-based Deep Learning and Traditional Breast Cancer Risk Models in Patients Who Underwent Supplemental Screening with MRI. Deep learning models using mammogram-based features beyond breast density to estimate risk may better identify women who would benefit from high-risk supplemental MRI screening than traditional risk models. A recent study found that women identified as high risk by a mammogram-based deep learning risk assessment model had a higher cancer detection rate (20.6 per 1000 examinations) on MRI than those identified as high risk by Tyrer-Cuzick (6.0 per 1000) or NCI Breast Cancer Risk Assessment Tool (6.8 per 1000) models.