November 4, 2019 --
Presenter Dr. Emily Conant of the University of Pennsylvania in Philadelphia will share findings from a study conducted with colleagues that evaluated improvements in accuracy and reading time for 24 radiologists using AI with DBT for either digital mammography or synthesized 2D exams. Conant's team tracked the area under the receiver operating curve (AUC), sensitivity, specificity, and reading time.
The radiologists read 260 DBT exams with and without the help of AI: 195 exams included 2D digital mammography images (43 cancers) and 65 included synthesized 2D mammography images (22 cancers).
Conant's group found that AI improved radiologist performance for both 2D formats.
The team also found that reading time improved 55.1% with the use of the AI software for digital mammography plus DBT and 44.4% with synthesized 2D mammography and DBT.
"Radiologist's breast cancer detection performance and efficiency improve with concurrent use of AI for DBT with digital or synthetic 2D," Conant's team concluded.