Dear Women's Imaging Insider,
Epidemiological studies have shown that reproductive factors can influence a woman's breast tissue density, thereby increasing her cancer risk. But many of these studies were conducted using film-screen mammography. Do the same associations exist with full-field digital mammography (FFDM)?
It appears so -- and that's good news for women, the majority of whom are imaged with FFDM but may have film-screen priors. Check out our Insider Exclusive to find out more.
When you've finished reading our featured article, take a look at what else is going on in the Women's Imaging Community:
- Can radiologists "get the gist" of cancer in breast images? Yes, and years before the cancer shows up in a clinically visible way, says a team from the University of York in the U.K.
- Is surveillance breast MRI always a good idea? Maybe not, according to researchers from the Kaiser Permanente Washington Health Research Institute in Seattle.
- Do density notification laws lead to downstream testing? It's worth considering, says a team from the University of Chicago.
- How might artificial intelligence technology trim radiologists' mammography workload? Researchers from the University of California, Los Angeles count the ways.
- Are there disparities in the drop in cancer death rates between younger men and women? Absolutely, and breast cancer is a key factor, according to a new report from the Journal of the National Cancer Institute.
Finally, if you have a comment, report, or article idea to share about any aspect of women's imaging, I invite you to contact me.
















![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)


