Catch up on the most well-read computed tomography (CT) articles from 2022.
As we come to the end of 2022, we take a look back at the most well-read articles on computed tomography (CT) with topics ranging from the updated Lung-RADS classifiication and the use of AI to improve the diagnosis of intracranial aneurysms to insights on the iodinated contrast media shortage and a controversial study on CT radiation exposure in children and young adults. Review the slideshow below to see highlights from the past year.
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.
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.
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
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.