Week in Review: Opportunistic osteoporosis screening | How CMS’ proposed rule impacts radiology | Ultrasound and fetal movement

Dear AuntMinnie Member, 

In settings where dual-energy x-ray absorptiometry may not be readily available, opportunistic use of chest x-rays may be feasible for identifying patients at risk of bone loss outside the traditional screening age, according to our most popular story last week. 

Our reporting on the U.S. Centers for Medicare and Medicaid Services (CMS) proposed Medicare Physician Fee Schedule (MPFS) rule for 2026 was our second-most highly viewed article. Initial analysis found that the rule would negatively impact radiology, nuclear medicine, and radiation oncology but give a slight reimbursement boost to interventional radiology. Click here for our coverage of the proposed rule, including radiology-specific changes to the Quality Payment Program. 

In pregnant women who feel less fetal movement, a management approach based on a Doppler ultrasound measure resulted in fewer adverse outcomes, according to a recent study. Other featured articles include a report on cancer risk for people who live or have lived near an infamous creek in Missouri, a recent U.S. Food and Drug Administration update on AI-enabled medical devices, and the benefits of peripheral vision training for improving lesion detection. 

The annual meeting of the Society of Cardiovascular Computed Tomography (SCCT) is underway in Montreal. Check out our video interview with current president Maros Ferencik, MD, PhD, and be sure to stop by our CT content area this week for all of our coverage. 

 See below for the full list of our top stories from last week. 

  1. Opportunistic use of chest x-rays can help screen for osteoporosis 

  2. CMS’ proposed 2026 MPFS rule would impact imaging 

  3. More ultrasound cuts risks in pregnancies with less fetal movement 

  4. Closer proximity to Missouri’s Coldwater Creek tied to cancer risk 

  5. Radiology drives July FDA AI-enabled medical device update 

  6. Peripheral vision training improves lesion detection 

  7. Explainable AI model finds breast tumors on MRI 

  8. AI system integrates eye gaze data and radiology reports 

  9. Video: SCCT president offers highlights for upcoming meeting 

  10. HPI: Telemedicine imaging rates lower than in-person visits 

  11. AI improves diagnostic accuracy in bpMRI for prostate imaging 

  12. ChatGPT-4 accurately classifies pancreatic cysts on MRI, CT imaging 

  13. CT reveals changes in lung holes in emphysema functions 

  14. MRI-based radiomics help predict breast cancer chemotherapy response

Erik L. Ridley
Editor in Chief
AuntMinnie.com