Dear Women's Imaging Insider,
The RSNA conference is upon us and I would be most interested to hear your predictions on the hot topics in women's imaging at this year's gathering in Chicago. Will it be MRI and CT predictors in early invasive cervical cancer? Three-dimensional breast ultrasound? Or screening for lung cancer and heart disease in women? Drop me a line and let me know what you think.
In the meantime, our Insider Exclusive article highlights two studies that broaden MRI's range in the female pelvis. While one study assessed the modality for lymph node staging, another offered technical modifications to make MR exams go faster. To learn more, click here.
You'll also find other gynecology-related articles in the Women's Imaging Digital Community. Italian researchers used ultrasound to study placental thickening in pregnant women with herpes. Also, younger women with ovarian cancer demonstrated better survival rates than older patients, according to another study. Additionally, researchers from Massachusetts General Hospital in Boston found that percutaneous radiofrequency ablation may locally control hepatic metastases from ovarian cancer in some patients.
Finally, on the epidemiological front, investigators in Ohio tracked colon cancer cases in women and determined that gender was a predictor of later-stage disease.















![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)


