Editorial: Computational modeling for assessing coronary artery pathophysiology

Front Cardiovasc Med. 2023 Jan 17:10:1113835. doi: 10.3389/fcvm.2023.1113835. eCollection 2023.

Murat Çap^{1

2}, Ryo Torii³, Yoshinobu Onuma⁴, Rob Krams⁵, Martin R Bennett⁶, Peter H Stone⁷, Patrick W Serruys⁸, Christos V Bourantas^{1

9}

¹ Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom.
² Department of Cardiology, University of Health Sciences Diyarbakir Gazi Yaşargil Education and Research Hospital, Diyarbakir, Turkey.
³ Department of Mechanical Engineering, University College London, London, United Kingdom.
⁴ Department of Cardiology, National University of Ireland Galway (NUIG), Galway, Ireland.
⁵ Department of Molecular Bioengineering Engineering and Material Sciences, Queen Mary University of London, London, United Kingdom.
⁶ Division of Cardiovascular Medicine, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom.
⁷ Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States.
⁸ Faculty of Medicine, National Heart and Lung Institute, Imperial College London, London, United Kingdom.
⁹ Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom.

No abstract available

Keywords: computational fluid dynamics; coronary artery disease; endothelial shear stress; intravascular imaging; plaque structural stress.

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