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The Impact of Objective Mathematical Analysis During Fractional Flow Reserve Measurement.

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Martina I Sciola1; Paul D Morris2; Rebecca Gosling3; Patricia V Lawford4; D Rodney Hose5; Julian P Gunn6;

1. Mathematical Modelling in Medicine Group, Department of Infection, Immunity and Cardiovascular Science, University of Sheffield, Sheffield, United Kingdom; 2. Mathematical Modelling in Medicine Group, Department of Infection, Immunity and Cardiovascular Science, University of Sheffield, Sheffield, United Kingdom, UNITED KINGDOM; 3. Mathematical Modelling in Medicine Group, Dept of Infection, Immunity and Cardiovascular Science, University of Sheffield, UK & Department of Cardiology, Sheffield Teaching Hospitals NHS Foundation Trust, UK & Insigneo Institute for In Silico Medicine, UK; 4. Mathematical Modelling in Medicine Group, Department of Infection, Immunity and Cardiovascular Science, University of Sheffield, Sheffield, United Kingdom; 5. Mathematical Modelling in Medicine Group, Department of Infection, Immunity and Cardiovascular Science, University of Sheffield, Sheffield, United Kingdom; 6. Mathematical Modelling in Medicine Group, Department of Infection, Immunity and Cardiovascular Science, University of Sheffield, Sheffield, United Kingdom

Aims: Fractional flow reserve (FFR), the reference-standard for guiding coronary revascularisation, is most commonly acquired during intravenous adenosine infusion. Results may be sensitive to system- and operator-dependent variability in how pressure data are analysed and interpreted. We developed a computational protocol to process the recorded pressure signals in a consistent manner to objectively quantify FFR. We studied the impact upon lesion (re)classification and compared this with the operator-selected FFR obtained during cardiac catheterisation.

Methods and results: The algorithm used a…

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