Heartflow FFRCT Analysis Delivers Prognostic Power and Significant Cost Savings in New Analyses of Over 90,000 Patients with Coronary Artery Disease
Globenewswire·2025-12-11 08:10

Core Insights - Heartflow, Inc. announced significant findings from the FISH&CHIPS study, demonstrating that its FFRCT Analysis improves diagnostic decision-making and predicts cardiovascular events while providing substantial cost savings for healthcare systems [1][2][4] Group 1: Clinical Value - The FISH&CHIPS study, involving over 90,000 patients, is the largest FFRCT study to date, providing strong real-world evidence of the clinical benefits of Heartflow's technology [1][7] - Heartflow FFRCT Analysis predicts individual cardiovascular outcomes, including myocardial infarction (MI) and cardiovascular mortality, with lower FFRCT values correlating to higher risks of adverse events [3][5] - The technology enables clinicians to tailor care more precisely, improving patient outcomes and reducing costs [4][5] Group 2: Economic Impact - The introduction of Heartflow FFRCT Analysis into the NHS led to fewer avoidable tests and lower costs for both inpatient and outpatient care, resulting in significant savings for hospitals and patients [2][5] - The analysis indicated a per-patient cost saving of £1,042 GBP ($1,394 USD) over two years, suggesting potential annual savings of £25 million GBP ($33.45 million USD) for the health system [5] - Cost savings were observed from the first year and continued to persist in lifetime modeling, highlighting the economic viability of the technology [5] Group 3: Technological Advancements - Heartflow's platform integrates various analyses, including RoadMap™ Analysis and Plaque Analysis, enhancing the accuracy of CAD assessments [4][8] - The technology has been adopted by over 1,400 institutions globally, supported by extensive clinical validation and a large dataset of coronary imaging [8][9] - Heartflow's AI-driven solutions have been validated in over 100 studies, demonstrating high acceptance rates and reproducibility in clinical practice [8]