Dear Women's Imaging Insider,
Triple-negative (TN) breast cancer, in which the tumor is estrogen receptor negative, progesterone receptor negative, and human epidermal growth factor receptor 2 (HER2) negative, tends to be harder to diagnose. This leaves women who have triple-negative breast cancer with fewer treatment options and worse prognoses compared to those with non-TN tumors.
Japanese researchers have identified some MR characteristics that can be used for detecting triple-negative breast cancer, and they present their data in a paper published in this month's issue of Radiology. Find out what MR findings are associated with this type of cancer by clicking here. As a Women's Imaging Insider subscriber, you have access to the article well before the rest of our members.
Once you've finished, read on for other news in your Women's Imaging Digital Community, including how computer-aided detection boosts full-field digital mammography performance, why researchers are suggesting a new location for ovarian shielding in girls, and how breast centers can track quality.
As always, if you have a comment, report, or article idea to share about any aspect of women's imaging, please feel free to contact me at [email protected].














![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)


