Chiastra Claudio, Zuin Marco, Rigatelli Gianluca, D'Ascenzo Fabrizio, De Ferrari Gaetano Maria, Collet Carlos, Chatzizisis Yiannis S, Gallo Diego, Morbiducci Umberto
PoliToBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy.
Department of Translational Medicine, University of Ferrara, Ferrara, Italy.
Front Cardiovasc Med. 2023 Aug 31;10:1216796. doi: 10.3389/fcvm.2023.1216796. eCollection 2023.
Computational 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.
We realized a 20-questions international, anonymous, cross-sectional survey to cardiologists to test their knowledge and confidence on CFD as a technology applied to patients suffering from CAD. Responses were recorded between May 18, 2022, and June 12, 2022.
A total of 466 interventional cardiologists (mean age 48.4 ± 8.3 years, males 362), from 42 different countries completed the survey, for a response rate of 45.9%. Of these, 66.6% declared to be familiar with the term CFD, especially for optimization of existing interventional techniques (16.1%) and assessment of hemodynamic quantities related with CAD (13.7%). About 30% of respondents correctly answered to the questions exploring their knowledge on the pathophysiological role of some CFD-derived quantities such as wall shear stress and helical flow in coronary arteries. Among respondents, 85.9% would consider patient-specific CFD-based analysis in daily interventional practice while 94.2% declared to be interested in receiving a brief foundation course on the basic CFD principles. Finally, 87.7% of respondents declared to be interested in a cath-lab software able to conduct affordable CFD-based analyses at the point-of-care.
Interventional cardiologists reported to be profoundly interested in adopting CFD simulations as a technology supporting decision making in the treatment of CAD in daily practice.
计算流体动力学（CFD）正在成为一种有效的技术，能够改善冠心病（CAD）患者的手术效果并加强临床决策。本研究旨在评估CFD在CAD诊断和治疗中的知识水平、应用情况及临床可接受性。
我们对心脏病专家进行了一项包含20个问题的国际、匿名横断面调查，以测试他们对应用于CAD患者的CFD技术的知识和信心。调查于2022年5月18日至2022年6月12日期间进行。
来自42个不同国家的466名介入心脏病专家（平均年龄48.4±8.3岁，男性362名）完成了调查，回复率为45.9%。其中，66.6%表示熟悉CFD这一术语，尤其对于优化现有介入技术（16.1%）以及评估与CAD相关的血流动力学参数（13.7%）。约30%的受访者正确回答了关于他们对一些CFD衍生参数（如冠状动脉壁面切应力和螺旋流）病理生理作用知识的问题。在受访者中，85.9%会在日常介入实践中考虑基于患者特异性的CFD分析，而94.2%表示有兴趣接受关于CFD基本原理的简短基础课程。最后，87.7%的受访者表示有兴趣使用一种能够在床边进行经济实惠的基于CFD分析的导管室软件。
介入心脏病专家报告称，他们对在日常实践中采用CFD模拟作为支持CAD治疗决策的技术有着浓厚兴趣。
