Training & Education

Mammography Topics

AI and DBT in Screening: Approaches to Improve and Accelerate Mammography Reading

Digital breast tomosynthesis (DBT) is being intensively discussed for use European screening programs, while it’s already being widely adopted in the United States. Within DBT, reading time is of the essence and any effort to reduce it will be particularly important. Artificial Intelligence (AI) assisted navigating and reading could also have a substantial impact on reading time (Sechopolous, ECR March 2020).

Experts are describing a number of strategies for reducing the number of cases and images that need to be interpreted and are proposing various methods for decreasing the time required to interpret a case. Artificial intelligence is one of the latest developments that can reduce reading time and even improve the diagnostic outcome.

Artificial Intelligence in Mammography: Leveling the Playing Field for Global Disparities

In her keynote talk Prof. Dr. Rachel Brem (George Washington University, Washington, USA) reviews the impact of Artificial intelligence (AI) in cancer detection as well as compares AI to radiologist interpretation with 2D and 3D mammograms. (Clinical Focus Talks, Nov. 2021)

DBT in screening: Approaches to reduce reading time – Physicist’s perspective

Associate Professor Ioannis Sechopoulos (Radboud University Nijmegen, The Netherlands) presents from the medical physicist's point of view what approaches he sees to reduce the reading time when using Digital Breast Tomosynthesis in screening (ECR, March 2021).

DBT in screening: Approaches to reduce reading time – Radiologist’s perspective

Prof. Dr. Chantal Van Ongeval, (UZ Leuven, Belgium) comments on these approaches from the perspective of a radiologist who has been dealing with requirements in Belgian and European screening programs for years (ECR, March 2021).