Dear Women's Imaging Insider,
Despite the fact that continued surveillance is crucial for early detection of new and recurrent cancers in breast cancer survivors, many of these women do not undergo appropriate follow-up, according to a study we're highlighting in this edition's Insider Exclusive. Find out which factors researchers from the University of Illinois at Chicago have discovered may inhibit these women's compliance -- and how clinicians might develop interventions.
When you've finished reading our featured article, take a look at what else is going on in the ul.editorialList li {margin-bottom:12px;}
- The debate over mammography screening often gets personal, with partisans on either side accusing the other of conflict of interest. But how common really are such conflicts? A new study sheds some light.
- How well do contrast-enhanced digital mammography and molecular breast imaging perform relative to breast MRI for staging newly diagnosed breast cancer? University of Pittsburgh researchers put all three to the test.
- Are most women with breast lesions classified as BI-RADS 3 -- equivocal for cancer -- being followed up appropriately? Many are not, according to a new study.
- There are a lot of things to love about digital breast tomosynthesis (recent articles in the lay press notwithstanding). Is a reduced need for follow-up studies one of them?
- In news out of Europe, researchers from the Netherlands found that MR-guided high-intensity focused ultrasound works well as a treatment for uterine fibroids.
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)


