Dear Women's Imaging Insider,
One benefit of molecular breast imaging is that it can help doctors identify tumor margins before surgery, potentially decreasing the number of second surgeries women have to undergo to remove residual disease. But which modality is most helpful?
Researchers at the American College of Radiology Imaging Network compared a few molecular breast imaging modalities -- positron emission mammography, whole-body PET, and whole-body PET/CT -- to determine which performed best in index and additional cancer detection, presurgical planning, and axillary staging.
Click here to read what they found. As an Insider subscriber, you get access to the article before our other members.
Once you've read our feature, take a look at what else is going on in the Women's Imaging Digital Community:
- Discover what Harvard radiologists have to say about women's quality of life and uterine fibroid treatment.
- Read how high-volume radiologists produce fewer false-positive mammograms.
- Find out why mammography screening is less effective in women with cancer histories.
- Get the scoop on why French researchers suggest that breast screening may not lead to mortality decreases.
- Learn how breast MRI screening benefits women with a history of radiation therapy.
As always, 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)






