Dear AuntMinnie Member,
The Digital Mammographic Imaging Screening Trial (DMIST) was a watershed event for digital mammography when the study results were released in September 2006. DMIST showed that full-field digital mammography (FFDM) is at least the equal of film-screen mammography (FSM) for the general population, and exceeds its analog counterpart in certain patient groups, such as younger women with dense breasts.
Breast imaging researchers are now digging deeper into the DMIST data to produce additional insights into FFDM's performance characteristics relative to analog mammography, according to an article we're featuring this week by staff writer Shalmali Pal in our Women's Imaging Digital Community.
In a series of presentations from last month's RSNA show, DMIST researchers explored topics ranging from FFDM's accuracy in dense breasts to the accuracy ratings of particular FFDM systems, as well as whether hard-copy or soft-copy reading is better in detecting cancers.
The research did produce some surprises -- one study actually contradicted the earlier DMIST results, finding that analog mammography was superior to FFDM in detecting cancers in dense breasts. Further studies are already under way that may clarify the situation.
Get the rest of the story by clicking here, or visit our Women's Imaging Digital Community at women.auntminnie.com.















![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)


