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FDA Clears Software for Enhancing CCTA Assessment of Atherosclerosis
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.”
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.
Study Shows Merits of CTA-Derived Quantitative Flow Ratio in Predicting MACE
December 11th 2024For patients with suspected or known coronary artery disease (CAD) without percutaneous coronary intervention (PCI), researchers found that those with a normal CTA-derived quantitative flow ratio (CT-QFR) had a 22 percent higher MACE-free survival rate.
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.
