A team of researchers who developed the technology, including doctors at UVA Health, reports the success of the approach in a new article in the scientific journal Circulation. The team compared its AI approach, known as Virtual Native Enhancement (VNE), with contrast-enhanced CMR scans now used to monitor hypertrophic cardiomyopathy, the most common genetic heart condition. The researchers found that VNE produced higher-quality images and better captured evidence of scar in the heart, all without the need for injecting the standard contrast agent required for CMR. "This is a potentially important advance, especially if it can be expanded to other patient groups," said researcher Christopher Kramer, MD, the chief of the Division of Cardiovascular Medicine at UVA Health, Virginia's only designated Center of Excellence by the Hypertrophic Cardiomyopathy Association. "Being able to identify scar in the heart, an important contributor to progression to heart failure and sudden cardiac death, without contrast, would be highly significant. CMR scans would be done without contrast, saving cost and any risk, albeit low, from the contrast agent."

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