The Top Five Most Viewed Content at Diagnostic Imaging in July 2023
Catch up on the most viewed content at Diagnostic imaging in July 2023.
Our top five content in July ranged from a breakdown of new research about the rise of non-physician practitioner (NPP) imaging interpretation to our coverage of the SNMMI 2023 conference, including research about the use of an emerging PET radiotracer to detect coronary artery disease in obese patients and the promise of ultra-high resolution (UHR) brain PET. Review the slideshow below to see this month's top content.
Meta-Analysis Shows Merits of AI with CTA Detection of Coronary Artery Stenosis and Calcified Plaque
April 16th 2025Artificial intelligence demonstrated higher AUC, sensitivity, and specificity than radiologists for detecting coronary artery stenosis > 50 percent on computed tomography angiography (CTA), according to a new 17-study meta-analysis.
The Reading Room Podcast: Current Perspectives on the Updated Appropriate Use Criteria for Brain PET
March 18th 2025In a new podcast, Satoshi Minoshima, M.D., Ph.D., and James Williams, Ph.D., share their insights on the recently updated appropriate use criteria for amyloid PET and tau PET in patients with mild cognitive impairment.
Could Lymph Node Distribution Patterns on CT Improve Staging for Colon Cancer?
April 11th 2025For patients with microsatellite instability-high colon cancer, distribution-based clinical lymph node staging (dCN) with computed tomography (CT) offered nearly double the accuracy rate of clinical lymph node staging in a recent study.
AMA Approves Category III CPT Codes for AI-Enabled Perivascular Fat Analysis from CT Scans
April 9th 2025Going into effect in 2026, the new CPT codes may facilitate increased adoption of the CaRi-Heart software for detecting coronary inflammation from computed tomography scans pending FDA clearance of the technology.
FDA Clears AI Assessment of Ischemic Core Volume on CT with Brainomix 360 Platform
April 8th 2025For patients with acute ischemic stroke, research has demonstrated that automated assessment of ischemic core volume on brain CT scans via the Brainomix 360 software is equivalent to that derived from CT perfusion.
