Dear Women's Imaging Insider,
As the debate over mammography's harms versus its benefits continues, it remains unclear exactly how women understand their own breast cancer risk and what they consider acceptable risk thresholds following a suspicious mammogram.
In this edition of the Insider, we're highlighting research presented at RSNA 2017 that suggests women tend to respond conservatively to breast cancer risk, preferring biopsy over short-term follow-up if there's any chance they could have breast cancer. Learn more in our Insider Exclusive.
After you've read our featured article, take a look at what else is going on in the Women's Imaging Community, including further coverage of the RSNA conference, as well as research presented at the 2017 San Antonio Breast Cancer Symposium:
- How does an artificial intelligence algorithm compare to radiologists when it comes to interpreting screening mammography exams? Pretty well -- and that's good news, according to a study presented at the RSNA 2017 meeting.
- Find out why a team from the University of Pennsylvania says digital breast tomosynthesis is worth the higher cost than 2D mammography.
- Read why PET/MRI can detect and classify local lesions and distant metastases better than MRI alone in women suspected of having recurrent pelvic cancer.
- Learn why researchers from the University of Chicago and the University of Washington believe young women with a high genetic risk of breast cancer should be screened twice yearly with MRI.
- Discover how certain features of invasive breast cancer identified on ultrasound can help clinicians better understand a woman's prognosis before she undergoes surgery.
And of course, if you have a comment, report, or article idea to share about any aspect of women's imaging, please 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)


