Tuesday, November 27 | 11:40 a.m.-11:50 a.m. | SSG02-08 | Room E451A
Getting a second read for BI-RADS 3 breast lesions at the time they are categorized can reduce interreader variability and, thus, misclassification, according to this study conducted by researchers at Boston University.Dr. Bianca Carpentier and colleagues reviewed 121,862 mammograms interpreted between February 2002 and May 2009 by 12 radiologists. Of all the mammograms, 7% or 8,403 were classified as BI-RADS 3; over a two-year follow-up period, 0.4% (32 of 8,403) of these were reclassified to BI-RADS 4 or 5.
All the lesions that were upgraded to BI-RADS 4 or 5 showed cancer on subsequent biopsies. Although 11 (34%) of them did not show any change in size or morphology, they were upgraded to BI-RADS 4 or 5 by a subsequent and different radiologist. None of these 11 initial BI-RADS 3 lesions were upgraded if the same radiologist interpreted the subsequent mammogram, Carpentier's group found, and most of the changes in classification occurred at the first six-month follow-up exam.
Because more than a third of the lesions upgraded from BI-RADS 3 to BI-RADS 4 or 5 were reclassified due to reader interpretation, a second reader should review BI-RADS 3 lesions at the time of the initial diagnostic workup to reduce the possibility of a delayed cancer diagnosis, the researchers suggested.










![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)






