Through analysis of coronary computed tomography angiography (CCTA) images, the PlaqueIQ software provides quantification and classification of atherosclerosis, a common cause of myocardial infarction (MI) and ischemic stroke.
The Food and Drug Administration (FDA) has granted 510(k) clearance for PlaqueIQ™, an emerging software that may enhance quantification of arterial plaque buildup shown on coronary computed tomography angiography (CCTA) imaging.
Employing image restoration algorithms to reduce motion and calcium blooming artifacts, the Plaque IQ software creates 3D modelling of coronary arteries via data segmentation and subsequently provides quantified assessment of tissue composition and structure, according to Elucid, the developer of PlaqueIQ.
Offering an interactive visualization of coronary anatomy and plaque quantification on multiple views, the PlaqueID software recently garnered 510(k) clearance from the Food and Drug Administration (FDA). (Images courtesy of Elucid.)
Emphasizing that approximately half of the United State population between 45 to 84 years of age have atherosclerosis without symptomatic presentations, Elucid maintained that PlaqueIQ may facilitate enhanced visualization and characterization of arterial plaque, and prevention of major adverse cardiovascular events.
“It’s time to shift our focus from merely estimating risk and treating risk of MI to directly visualizing and treating the disease itself by looking at the coronary arteries,” maintained Amir Ahmadi, M.D., an associate professor of medicine and cardiology at the Icahn School of Medicine at Mount Sinai in New York, N.Y. “I believe that PlaqueIQ will enable physicians to better ‘see’ the disease — specifically plaque quantity and type — so that we can treat patients with greater precision and in (a) personalized manner, improve their quality of life, and ultimately prevent (myocardial infarction) and stroke more effectively.”
Predicting Diabetes on CT Scans: What New Research Reveals with Pancreatic Imaging Biomarkers
March 25th 2025Attenuation-based biomarkers on computed tomography (CT) scans demonstrated a 93 percent interclass correlation coefficient (ICC) agreement across three pancreatic segmentation algorithms for predicting diabetes, according to a study involving over 9,700 patients.
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.
New Analysis Forecasts Substantial Cost Savings with the Use of Photon Counting CT for CCTA
March 8th 2025The use of ultra-high-resolution photon-counting CT in the evaluation of stable chest pain may significantly reduce follow-up tests and invasive coronary angiography (ICA) procedures, possibly resulting in millions in health-care cost savings, according to a cost-effectiveness analysis presented recently at the European Congress of Radiology.