Elucid has announced that four of the seven Medicare Administrative Contractors (MACs) will extend coverage for AI-enabled quantitative coronary plaque analysis, including its FDA-cleared PlaqueIQTM image analysis software, beginning November 24, 2024. The updated policy will allow for Medicare patients whose claims are administered within the four MACs who present with acute or stable chest pain and no known history of cardiovascular disease to be assessed with AI-enabled plaque imaging software that can help physicians accurately diagnose and potentially personalize treatment for cardiovascular disease.Elucid’s PlaqueIQ is the first FDA-cleared non-invasive software that can objectively quantify and classify plaque morphology based on ground-truth histology, the gold standard for characterization of plaques. PlaqueIQ is designed to give physicians new, clinically validated information to help stratify patients and inform patient-specific treatment pathways.
“Elucid commends the MACs’ recognition of the importance of innovation in quantifying and classifying coronary artery plaque, which is the strongest predictor of heart attack and stroke in patients,” said Kelly Huang, CEO of Elucid. “The agency’s extended coverage will allow us to provide physicians and patients greater access to ground-truth histology-based technology that offers new insights into plaque to help aid diagnosis, influence treatment decisions, and reduce the devastating impact of cardiovascular disease. We are thankful to our partners who include physicians, medical societies, and industry colleagues for their support of our input into improving access to AI plaque quantification for patients who can benefit the most.”
PlaqueIQ utilizes first-line diagnostic CCTA and develops comprehensive, interactive reports to help physicians virtually “see” and quantify plaque. With its basis in histology, the software is uniquely able to non-invasively quantify and characterize plaque and its components such as lipid-rich necrotic core (LRNC), giving potential insights into high-risk plaques that are key drivers of risk of heart attack and stroke. In addition, use of the software has the potential to enable earlier identification of higher-risk plaque before presence of symptoms or major adverse events.

