2023
DOI: 10.3389/fcvm.2023.1216796
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Computational fluid dynamics as supporting technology for coronary artery disease diagnosis and treatment: an international survey

Claudio Chiastra,
Marco Zuin,
Gianluca Rigatelli
et al.

Abstract: BackgroundComputational fluid dynamics (CFD) is emerging as an effective technology able to improve procedural outcomes and enhance clinical decision-making in patients with coronary artery disease (CAD). The present study aims to assess the state of knowledge, use and clinical acceptability of CFD in the diagnosis and treatment of CAD.MethodsWe realized a 20-questions international, anonymous, cross-sectional survey to cardiologists to test their knowledge and confidence on CFD as a technology applied to pati… Show more

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Cited by 6 publications
(1 citation statement)
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“…The findings of this work contribute to pointing out the translational potential of CFD as a technology able to provide insights into vascular biology and to support decision-making in the treatment of CAD in daily clinical practice. 43 , 44 The current computer power and the increasingly realistic, personalized computer simulation of coronary hemodynamics enable to capture complex WSS signatures influencing coronary vascular pathogenesis, 21 , 43 highlighting regions at risk of plaque progression. Recent evidence demonstrating the feasibility of independent management by clinicians of CFD for CAD-related predictions, 21 combined with the profound interest recently expressed by interventional cardiologists in utilizing CFD simulations for the CAD management, 44 make the clinical translation of computational models a tangible near-future scenario.…”
Section: Discussionmentioning
confidence: 99%
“…The findings of this work contribute to pointing out the translational potential of CFD as a technology able to provide insights into vascular biology and to support decision-making in the treatment of CAD in daily clinical practice. 43 , 44 The current computer power and the increasingly realistic, personalized computer simulation of coronary hemodynamics enable to capture complex WSS signatures influencing coronary vascular pathogenesis, 21 , 43 highlighting regions at risk of plaque progression. Recent evidence demonstrating the feasibility of independent management by clinicians of CFD for CAD-related predictions, 21 combined with the profound interest recently expressed by interventional cardiologists in utilizing CFD simulations for the CAD management, 44 make the clinical translation of computational models a tangible near-future scenario.…”
Section: Discussionmentioning
confidence: 99%