Dear Women's Imaging Insider,
A diagnosis of cervical cancer can be devastating, especially for women still in their childbearing years. But new research from Sweden published in Ultrasound in Medicine and Biology suggests that contrast-enhanced ultrasound (CEUS) could offer these women a way to preserve their fertility, due to its ability to identify tumors small enough to permit fertility-sparing surgery.
Check out our Insider Exclusive to learn more about how CEUS compared with conventional ultrasound for finding cervical cancer.
When you've finished reading our featured article, take a look at what else is going on in the Women's Imaging Community:
- Is risk-based breast cancer screening more cost-effective? Discover what U.K. researchers have to say.
- How does having access to prior images affect the recall rate for digital breast tomosynthesis? Click here to find out.
- Check out what investigators from Memorial Sloan Kettering Cancer Center reported about the value of subspecialist second opinions for mammography.
- Learn what researchers from Oak Ridge National Laboratory in Oak Ridge, TN, observed when they used artificial intelligence technology to analyze how radiologists read mammograms.
- Discover why a team from Norway says that having dense breast tissue translates into higher cancer odds.
- The problem of overdiagnosis in cancer screening has been hotly debated for years, in part because the meaning of the term can be unclear. A group from the Dartmouth Institute for Health Policy and Clinical Practice has published a definition in an attempt to clear the confusion.
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)

