At long last, in a development that CT colonography (CTC) advocates have been awaiting for over two decades, Medicare reimbursement for CTC for colorectal cancer screening may soon be at hand.
This week, the U.S. Centers for Medicare and Medicaid Services (CMS) announced in its proposed 2025 rules for the Medicare Physician Fee Schedule and the Hospital Outpatient Prospective Payment System that it plans to replace barium enema tests with CTC on its list of covered exams. CMS highlighted CTC’s benefits as a noninvasive first step in colorectal cancer screening.
But that wasn’t the only big news from CMS this week that could spark greater utilization. CMS has also indicated it will provide separate reimbursement for diagnostic radiopharmaceuticals. Not surprisingly, our coverage of these announcements generated our two most highly viewed articles this week.
In other news attracting attention, a patient survey conducted by the Society of Interventional Radiology produced some alarming results; very few women diagnosed with uterine fibroids are presented with a less invasive treatment option than hysterectomy. In response, the organization is calling attention to the benefits of uterine fibroid embolization.
We’ve also published the next two editions of our popular "Rise of theranostics" series. Part 4 offers a preview of women’s theranostics, while part 5 features the perspective of center administrators.
See below for the full list of our top stories of the week:
- New CMS plan adds Medicare coverage of PET imaging agents
- CMS proposes coverage of CT colonography screening
- Many women unaware of treatment options for uterine fibroids
- The rise of theranostics: Part 4 – Women's theranostics
- Radiology suffers in missile attack on Kyiv pediatric hospital
- AI increases breast MRI’s cancer detection 4-fold
- Radiology departments can adopt responsible frameworks to deploy AI
- Black women less likely to undergo preoperative breast MRI
- CEM more efficient, comparably accurate to conventional mammography
- ACR responds to CMS proposed 2025 MPFS rule
- ASTRO chair responds to proposed cuts in 2024 MPFS
- The rise of theranostics: Part 5 – Advice from center administrators
- Risk factors for blood disorders identified in PRRT patients
- Cryoablation safe and effective for treating breast cancer














![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)




