Using DBT as a screening tool does not significantly change BI-RADS category 3 classification.
Digital breast tomosynthesis (DBT) screening does not significantly change the utilization rate of BI-RADS category 3 classification, according to a study published in Radiology.
Researchers from the Hospital of the University of Pennsylvania in Philadelphia, and Harvard Medical School in Boston, MA, performed a retrospective review to evaluate BI-RADS category 3 assessment before and after implementation of DBT screening.
The researchers reviewed 10,728 digital mammography (DM) images performed before implementation of the DBT screening program (1,112 of whom were recalled) and 15,571 DBTs after program implementation (1,366 of whom were recalled). Any recall examinations were reviewed for calcifications, asymmetry or focal asymmetry, mass, and architectural distortion.
The results showed no significant change in BI-RADS category 3 between the two groups of patients: 168 of the women in the DM group and 206 women in the larger DBT group. There was a mean overall reduction of 2.4 women per 1,000 who were recommended for short-term follow-up, but the lesion types did not change after the diagnostic work-up.
Although there was no change in recall examinations for calcifications with DBT, the distribution of recalled finding types did change significantly, with increased recall examinations for architectural distortions and mass and decreased recall examinations for asymmetries, wrote the authors.
AI-Initiated Recalls After Screening Mammography Demonstrate Higher PPV for Breast Cancer
March 18th 2025While recalls initiated by one of two reviewing radiologists after screening mammography were nearly 10 percent higher than recalls initiated by an AI software, the AI-initiated recalls had an 85 percent higher positive predictive value for breast cancer, according to a new study.
ECR Mammography Study: Pre-Op CEM Detects 34 Percent More Multifocal Masses than Mammography
February 28th 2025In addition to contrast-enhanced mammography (CEM) demonstrating over a 90 percent detection rate for multifocal masses, researchers found that no significant difference between histological measurements and CEM, according to study findings presented at the European Congress of Radiology.
Study: Mammography AI Leads to 29 Percent Increase in Breast Cancer Detection
February 5th 2025Use of the mammography AI software had a nearly equivalent false positive rate as unassisted radiologist interpretation and resulted in a 44 percent reduction in screen reading workload, according to findings from a randomized controlled trial involving over 105,000 women.