Monday, December 2 | 3:50 p.m.-4:00 p.m. | SSE02-06 | Room E450A
Using tomosynthesis for diagnostic breast imaging can reduce the number of patients categorized as BI-RADS 3 -- and therefore reduce the number of women who return for follow-up, according to research to be presented in this Monday afternoon session.Dr. Reni Butler, of Yale University, and colleagues analyzed the rates of BI-RADS categories in diagnostic patients who had tomosynthesis versus those who had mammography. The group paid special attention to lesions categorized as BI-RADS 3, or "probably benign."
The study included all diagnostic patients over two six-month intervals before and after tomosynthesis began to be used. In the first interval, 2,850 diagnostic mammograms were performed, and of these, 914 patients, or 32%, were categorized as BI-RADS 3. The researchers found 977 abnormalities in the BI-RADS 3 patients: 363 asymmetries (37%), 398 calcifications (40%), 201 masses (21%), and 15 architectural distortions (2%).
During the second interval, 2,761 diagnostic mammograms were performed; 2,036 of these patients had tomosynthesis, and 563, or 27.6%, were categorized as BI-RADS 3. The 563 BI-RADS 3 patients had 602 findings: 186 asymmetries (31%), 245 calcifications (41%), 158 masses (26%), and 14 architectural distortions (2%).
Butler's group found that the BI-RADS 3 rate decreased from 35% in the pretomosynthesis group to 27% in the post-tomosynthesis group, with fewer asymmetries and masses that required short-term follow-up. The number of women categorized as BI-RADS 1 or 2 (negative or benign findings) and BI-RADS 5 (highly suggestive of malignancy) increased as well, suggesting that using tomosynthesis with diagnostic patients can characterize lesions more accurately.












![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)






