Dear AuntMinnie member,
Trampoline-related injuries make up as much as 1.6% of trauma visits at pediatric emergency departments and have become an escalating concern.
Although radiologists have discussed and documented these types of injuries, there remains a gap in in the comprehensive discussion of “head to toe” imaging in these patients, according to Neetika Gupta, MD, of the University of Toronto.
Gupta presented a pictorial guide of injuries seen on imaging during a session at the recent American Roentgen Ray Society (ARRS) meeting. Our coverage of the talk produced the most page views on AuntMinnie.com last week.
Our second most popular article featured another study at ARRS 2024 that documented a significant increase in breast MRI utilization after the American College of Radiology (ACR) changed its guidelines in 2018. Click here to get all of the details.
Meanwhile, CT can reveal the negative effects of adulterated cannabinoids, according to researchers from Israel. They reported that suburothelial hemorrhage and intramural bowel hematomas detected on CT imaging were indicative of coagulopathy linked to contaminated cannabinoids. What else did they find? Click here for all of the details in our third most highly viewed article.
See the full list below of our most popular stories of the week:
- ARRS: Trampoline-related injuries span head to toe in children
- ARRS: ACR guideline changes lead to sharp uptick in breast MRI use
- ARRS: CT findings illuminate effects of adulterated cannabinoids
- DBT may increase radiation exposure for women with breast implants
- NYU Langone highlights AI study
- ARRS: Yale emergency radiologist talks automation, resident training, AI
- CT perfusion, portable MRI viable alternatives for evaluating dizziness
- Opportunistic chest CT helps predict low bone mineral density
- AI chatbots deemed ‘empathetic’ to cancer patients
- New guidance issued on PET/CT imaging in breast cancer
- IMV: Hospital-based diagnostic x-ray volumes continue to decline
- ASTRO applauds new legislation on radiation therapy payments
- Patient groups call for CMS to cover AI in radiology
- Low sexual desire manifests as dimorphic brain processing on fMRI













![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)





