A head-to-head comparison between CT- and IVUS-derived coronary blood flow models |
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| Institution: | 1. National Laboratory for Scientific Computing, LNCC/MCTI, Av. Getúlio Vargas 333, 25651-075 Petrópolis, Brazil;2. National Institute of Science and Technology in Medicine Assisted by Scientific Computing, INCT-MACC, Petrópolis, Brazil;3. Heart Institute, University of São Paulo Medical School, INCOR-FM-USP, Av. Dr. Eneas de Carvalho Aguiar 44, 3rd floor, 05403-000 São Paulo, Brazil;1. Department of Engineering, Faculty of Science and Technology, Aarhus University, Finlandsgade 22, 8200 Aarhus N, Denmark;2. Department of Cardiothoracic & Vascular Surgery, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark;3. Department of Clinical Medicine, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark;1. University of Maryland Baltimore School of Medicine, Department of Neurology, 110 S. Paca St, Baltimore, MD 21202, USA;2. IRCCS Fondazione Don Carlo Gnocchi ONLUS, Biomedical Technology Department, via Capecelatro 66, 20148 Milano, Italy;3. Politecnico di Milano, Department of Electronics, Information and Bioengineering, via Golgi 39, 20133 Milano, Italy;1. Department of Biomechanics and Center for Research in Human Movement Variability, University of Nebraska at Omaha, 6160 University Drive, Omaha, NE 68182-0860, USA;2. College of Public Health, 984355 University of Nebraska Medical Center, Omaha, NE 68198-4355, USA;1. Department of Sports Medicine and Health Promotion, Friedrich-Schiller University Jena, Wöllnitzer Straße 42, D-07749 Jena, Germany;2. Center of Interdisciplinary Prevention of Diseases related to Professional Activities, Friedrich-Schiller University Jena, D-07737 Jena, Germany;3. Department of Sports and Motion Science, University Stuttgart, Allmandring 28, D-70569 Stuttgart, Germany;4. Department of Sports Management, University Bayreuth, Universitätsstraße 30, D-95440 Bayreuth, Germany |
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| Abstract: | The goal of this work is to compare coronary hemodynamics as predicted by computational blood flow models derived from two imaging modalities: coronary computed tomography angiography (CCTA) and intravascular ultrasound integrated with angiography (IVUS). Criteria to define boundary conditions are proposed to overcome the dissimilar anatomical definition delivered by both modalities. The strategy to define boundary conditions is novel in the present context, and naturally accounts for the flow redistribution induced by the resistance of coronary vessels. Hyperemic conditions are assumed to assess model predictions under stressed hemodynamic environments similar to those encountered in Fractional Flow Reserve (FFR) calculations. As results, it was found that CCTA models predict larger pressure drops, higher average blood velocity and smaller FFR. Concerning the flow rate at distal locations in the major vessels of interest, it was found that CCTA predicted smaller flow than IVUS, which is a consequence of a larger sensitivity of CCTA models to coronary steal phenomena. Comparisons to in-vivo measurements of FFR are shown. |
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| Keywords: | Coronary blood flow Computed tomography Intravascular ultrasound Angiography Wall shear stress Fractional flow reserve |
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