Training & Education

Mammography topics

Risk-adjusted Breast Cancer Screening Strategies 

The incidence of breast cancer is increasing worldwide. Population-based screening is available in many countries but is often not the most efficient use of resources. Therefore, interest in risk-adjusted screening programs has increased in recent years. 1 Models to predict the risk of a woman to develop breast cancer in her lifetime are taking the of individual breast density as well as inherited genetic variants into consideration. 2 In the future, the goal is to be able to make personalized screening authoritative recommendations on when a woman should start and stop screening and how often it should be performed. 1 

In the following videos, clinical experts present the role of breast imaging and artificial intelligence for risk-adjusted breast screening. A special focus is put on breast density and how to measure it objectively.

Risk-adjusted Breast Cancer Screening Strategies (ECR Symposium)

After an introduction by Associate Prof. Dr. Luis Pina (Pamplona/Spain), Dr. Ritse Mann (Nijmegen/Netherlands) and Prof. Dr. Francesco Sardanelli (Milan/Italy) give an overview about risk-adjusted breast cancer screening strategies (ECR Symposium, July 2020).

Personalized Breast Cancer Screening and the Role of Breast Density 

This presentation by Prof. Dr. Mireille Broeders (Radboud University Nijmegen, The Netherlands) gives an overview about what is needed to provide personalized screening in the future. While DBT may become the method of choice for screening, there are further factors to be considered. Mireille Broeders highlights the role of breast density and how automated measurements could help (ECR, March 2019).

Dense Breast and How to Overcome the Radiologist’s “Problem Child” Video 

In his introduction to the topic “Dense Breasts” Associate Prof. Dr. Luis Pina (Navarra University Pamplona/Spain) gives an overview of the anatomy and pathology of dense breasts and the limitations of mammography there. He discusses the role of breast tomosynthesis, ultrasound and MRI to overcome these limitations (ECR, March 2017).