CMS has agreed to cover three oncology FDG-PET scans, a revision from the proposed single-scan coverage, and one PET advocates lauded.
CMS has agreed to cover three oncology FDG-PET scans, a revision from the proposed single-scan coverage, and one PET advocates lauded.
In a decision memo released this week, CMS said it was ending the requirement for coverage with evidence development for oncologic FDG-PET. This removes the requirement for prospective data collection by the National Oncologic PET Registry (NOPR) for covered cancer types. Coverage of additional scans beyond the three after initial anti-tumor therapy will be determined by local Medicare Administrative Contractors.
The Society of Nuclear Medicine and Molecular Imaging said the decision “will have a significant impact on patient care.”
“We appreciate the fact that CMS has changed the limit from one scan to three,” SNMMI 2013-2014 vice president-elect, Hossein Jadvar, MD, PhD, MPH, MBA, FACNM, said in a statement. “However, it will be important for the local contractors to allow more than three when clinically necessary.”
SNMMI also noted CMS’s ruling that the use of FDG PET/CT to guide prostate cancer treatment was reasonable and necessary.
The Medical Imaging and Technology Alliance (MITA) also commended the decision, saying the group has long supported coverage decisions that facilitiate access to PET imaging. “This final decision on FDG-PET for solid tumors is a step in the right direction in ensuring access to critical imaging procedures for patients with cancer,” MITA’s executive director Gail Rodriquez said in a statement.
Photon-Counting Computed Tomography: Eleven Takeaways from a New Literature Review
May 27th 2025In a review of 155 studies, researchers examined the capabilities of photon-counting computed tomography (PCCT) for enhanced accuracy, tissue characterization, artifact reduction and reduced radiation dosing across thoracic, abdominal, and cardiothoracic imaging applications.
Can AI Predict Future Lung Cancer Risk from a Single CT Scan?
May 19th 2025In never-smokers, deep learning assessment of single baseline low-dose computed tomography (CT) scans demonstrated a 79 percent AUC for predicting lung cancer up to six years later, according to new research presented today at the American Thoracic Society (ATS) 2025 International Conference.
Can Emerging AI Software Offer Detection of CAD on CCTA on Par with Radiologists?
May 14th 2025In a study involving over 1,000 patients who had coronary computed tomography angiography (CCTA) exams, AI software demonstrated a 90 percent AUC for assessments of cases > CAD-RADS 3 and 4A and had a 98 percent NPV for obstructive coronary artery disease.