Dear AuntMinnie Member,
Everyone has a story to tell of a colleague who acted rudely to other radiology staff or even to patients, embarrassing himself or herself and by extension the entire specialty. Such episodes are never welcome, but they can be especially damaging in today's new era in which radiologists are supposed to be reaching out to patients.
How can you make sure this never happens to you? Find out in our Residents Digital Community, where international editor Eric Barnes covers an article in the April edition of the American Journal of Roentgenology that uses real-life tales of radiologists behaving badly to offer lessons on how not to act in front of patients and colleagues. Read more by clicking here.
In other news, find out how you can tap residents to spearhead quality improvement programs by clicking here. Get these stories and more in our Residents Digital Community at residents.auntminnie.com.
FLT-PET for cancer
In a new study from the Netherlands, researchers used the radiopharmaceutical F-18 fluorothymidine (FLT) to assess the effectiveness of treatment for patients with head and neck cancer.
They found that FLT-PET performed in the second week of treatment was useful for personalizing therapy, based on data from both radiopharmaceutical uptake and tumor volume. Read more by clicking here, or visit our Molecular Imaging Digital Community at molecular.auntminnie.com.
Breast implant mystery solved
Also, visit our Women's Imaging Digital Community to learn how a Colorado breast imaging specialist solved a nagging mystery -- why women with breast implants reported strange sensations when flying in commercial airliners at high altitudes. The solution had even eluded the TV show "MythBusters." Find out what's going on by clicking here.
![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=100&q=70&w=100)
![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)
