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Fractional flow reserve in clinical practice: from wire-based invasive measurement to image-based computation
Journal article

Fractional flow reserve in clinical practice: from wire-based invasive measurement to image-based computation

  • Tu, Shengxian ORCID School of Biomedical Engineering, Shanghai Jiao Tong University, No. 1954 Hua Shan Road, Shanghai 200030, China
  • Westra, Jelmer ORCID Department of Cardiology, Aarhus University Hospital, Skejby, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark
  • Adjedj, Julien ORCID Cardiology Department, CHUV, Rue du Bugnon 46, 1011 Lausanne, Switzerland
  • Ding, Daixin School of Biomedical Engineering, Shanghai Jiao Tong University, No. 1954 Hua Shan Road, Shanghai 200030, China
  • Liang, Fuyou Institute for Personalized Medicine, Sechenov University, 8-2 Trubetskaya st., Moscow 119991, Russia
  • Xu, Bo ORCID Catheterization Laboratories, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, National Clinical Research Center for Cardiovascular Diseases, A 167, Beilishi Road, Xicheng District, Beijing 100037, China
  • Holm, Niels Ramsing Department of Cardiology, Aarhus University Hospital, Skejby, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark
  • Reiber, Johan H C Division of Image Processing, Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
  • Wijns, William ORCID The Lambe Institute for Translational Medicine and Curam, National University of Ireland Galway, University Road, Galway H91 TK3, Ireland
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  • 2019-12-30
Published in:
  • European Heart Journal. - Oxford University Press (OUP). - 2019, vol. 41, no. 34, p. 3271-3279
Cardiology and Cardiovascular Medicine
English Abstract
Fractional flow reserve (FFR) and instantaneous wave-free ratio are the present standard diagnostic methods for invasive assessment of the functional significance of epicardial coronary stenosis. Despite the overall trend towards more physiology-guided revascularization, there remains a gap between guideline recommendations and the clinical adoption of functional evaluation of stenosis severity. A number of image-based approaches have been proposed to compute FFR without the use of pressure wire and induced hyperaemia. In order to better understand these emerging technologies, we sought to highlight the principles, diagnostic performance, clinical applications, practical aspects, and current challenges of computational physiology in the catheterization laboratory. Computational FFR has the potential to expand and facilitate the use of physiology for diagnosis, procedural guidance, and evaluation of therapies, with anticipated impact on resource utilization and patient outcomes.
Language
  • English
Open access status
closed
Identifiers
Persistent URL
https://sonar.ch/global/documents/150617
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