Can AI Bolster Breast Cancer Detection in DBT Screening?

Emerging research suggests that artificial intelligence (AI) may enhance breast cancer detection in patients undergoing sequential screening with digital breast tomosynthesis (DBT).

For the retrospective study, recently published in Radiology: Artificial Intelligence, researchers assessed the use of a DBT-based AI software (ProFound AI v2.0, iCAD) for 1,799 women (mean age of 58.1) who had one-year follow-up data after having two or more DBT-AI screenings. The study authors noted that DBT-AI case scores of > 70 and case score changes of > 25 were considered “noteworthy.”

The researchers found that true positive examinations had the highest average DBT-AI case score at 75 in contrast to 42 for false positive exams, 37 for false negative exams and 34 for true negative exams.