Dear Women's Imaging Insider,
Women's imaging is truly a multimodality discipline, as evidenced by this installment of the Insider.
First, we have good news and not so good news about breast biopsy. Radiologists in New York City have achieved success with MRI-guided biopsy for women at high risk of breast cancer or with problematic mammograms. Their clinical experience bolsters the value of image-guided breast biopsy on the whole. Unfortunately, this information is not necessarily being taken into consideration by referring physicians, according to a paper by a group from Brown University in Providence, RI. To read more in the Insider Exclusive, click here.
In the Women's Imaging Digital Community, you'll also find a report from St. Louis' Mallinckrodt Institute of Radiology on the role of FDG-PET in predicting outcomes after cervical cancer treatment.
In ultrasound news, there's word that sonography can play a role in detecting residual primary breast malignancy in patients receiving neoadjuvant chemotherapy.
On the CT front, researchers from the Memorial Sloan-Kettering Cancer Center in New York City discuss using the modality most effectively for finding hepatic lesions in women with breast cancer.
Finally, check out an article on full-field digital mammography and the challenges it presents for image management.
![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&dpr=2&fit=crop&h=167&q=70&w=250)
