Dear AuntMinnie Member,
It was a big week for the CT community. On Thursday, the U.S. Centers for Medicare and Medicaid Services (CMS) issued its final approval of an expansion in coverage for CT lung cancer screening exams.
The news wasn't unexpected -- CMS indicated in November 2021 that it would expand its payment policies, in line with broader screening guidelines issued by the U.S. Preventive Services Task Force early in 2021. The new policies support CT lung screening at age 50 -- five years younger than the previous guidelines -- and reduce the required smoking history from 30 pack years to 20 pack years.
Hopefully, both policies will bolster what has been up to now anemic uptake of lung screening compared with other types of screening exams.
In other news, an article on a new CT technology called dark-field CT was our top story of the week. And researchers from Switzerland found that artificial intelligence (AI) was able to identify intracranial hemorrhage on CT while also improving workflow in the emergency department.
Other important stories of the week covered the following issues:
- Patient stress and anxiety can lead to repeated MRI scans.
- Loneliness can increase the risk of dementia threefold -- a phenomenon visible on brain MRI.
- Recent advances in AI technology are raising medicolegal issues.
- Women shouldn't delay screening mammograms over concerns about lymphadenopathy after getting vaccinated for COVID-19.
Thanks to the hundreds of radiology professionals who tuned in to our webinar on AI for neuroradiology on Thursday! It was a great discussion, and thanks also to our panelists, Dr. Marion Smits, Dr. Alexander Radbruch, and Dr. Peter Chang. Don't worry if you missed it; you can watch it on demand at your leisure.










![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=112&q=70&w=112)





