open access

Vol 27, No 3 (2020)
Editorial comments — Interventional cardiology
Submitted: 2019-12-20
Accepted: 2020-05-16
Published online: 2020-06-19
Get Citation

Combining anatomy and physiology: New angiography-based and computed tomography coronary angiography-derived fractional flow reserve indices

Mariusz Tomaniak1, Patrick W. Serruys23
·
Pubmed: 32583402
·
Cardiol J 2020;27(3):225-229.
Affiliations
  1. First Department of Cardiology, Medical University of Warsaw, Banacha 1a, 02-097 Warsaw, Poland
  2. National Heart and Lung Institute, Imperial College London, United Kingdom
  3. Department of Cardiology, National University of Ireland, Galway, Ireland

open access

Vol 27, No 3 (2020)
Editorial comments — Interventional cardiology
Submitted: 2019-12-20
Accepted: 2020-05-16
Published online: 2020-06-19

Abstract

Not available

Abstract

Not available
Get Citation

Keywords

FFR, angiography-based functional lesion assessment, qFR, vFFR, FFRangio, FFRCT

About this article
Title

Combining anatomy and physiology: New angiography-based and computed tomography coronary angiography-derived fractional flow reserve indices

Journal

Cardiology Journal

Issue

Vol 27, No 3 (2020)

Pages

225-229

Published online

2020-06-19

Page views

1246

Article views/downloads

1378

DOI

10.5603/CJ.2020.0080

Pubmed

32583402

Bibliographic record

Cardiol J 2020;27(3):225-229.

Keywords

FFR
angiography-based functional lesion assessment
qFR
vFFR
FFRangio
FFRCT

Authors

Mariusz Tomaniak
Patrick W. Serruys

References (25)
  1. Brown BG, Bolson E, Frimer M, et al. Quantitative coronary arteriography: estimation of dimensions, hemodynamic resistance, and atheroma mass of coronary artery lesions using the arteriogram and digital computation. Circulation. 1977; 55(2): 329–337.
  2. Serruys PW, Girasis C, Papadopoulou SL, et al. Non-invasive fractional flow reserve: scientific basis, methods and perspectives. EuroIntervention. 2012; 8(4): 511–519.
  3. Tu S, Barbato E, Köszegi Z, et al. Fractional flow reserve calculation from 3-dimensional quantitative coronary angiography and TIMI frame count: a fast computer model to quantify the functional significance of moderately obstructed coronary arteries. JACC Cardiovasc Interv. 2014; 7(7): 768–777.
  4. Morris PD, Ryan D, Morton AC, et al. Virtual fractional flow reserve from coronary angiography: modeling the significance of coronary lesions: results from the VIRTU-1 (VIRTUal Fractional Flow Reserve From Coronary Angiography) study. JACC Cardiovasc Interv. 2013; 6(2): 149–157.
  5. Papafaklis MI, Muramatsu T, Ishibashi Y, et al. Fast virtual functional assessment of intermediate coronary lesions using routine angiographic data and blood flow simulation in humans: comparison with pressure wire - fractional flow reserve. EuroIntervention. 2014; 10(5): 574–583.
  6. Collet C, Onuma Y, Sonck J, et al. Diagnostic performance of angiography-derived fractional flow reserve: a systematic review and Bayesian meta-analysis. Eur Heart J. 2018; 39(35): 3314–3321.
  7. Westra J, Andersen BK, Campo G, et al. Diagnostic performance of in-procedure angiography-derived quantitative flow reserve compared to pressure-derived fractional flow reserve: the FAVOR II Europe-Japan study. J Am Heart Assoc. 2018; 7(14).
  8. Masdjedi K, van Zandvoort LJC, Balbi MM, et al. Validation of 3-Dimensional Quantitative Coronary Angiography based software to calculate Fractional Flow Reserve: Fast Assessment of STenosis severity (FAST)-study. EuroIntervention. 2019.
  9. Fearon WF, Achenbach S, Engstrom T, et al. FAST-FFR Study Investigators. Accuracy of Fractional Flow Reserve Derived From Coronary Angiography. Circulation. 2019; 139(4): 477–484.
  10. Morris PD, Silva Soto DA, Feher JFA, et al. Fast Virtual Fractional Flow Reserve Based Upon Steady-State Computational Fluid Dynamics Analysis: Results From the VIRTU-Fast Study. JACC Basic Transl Sci. 2017; 2(4): 434–446.
  11. Koo BK, Erglis A, Doh JH, et al. Diagnosis of ischemia-causing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) study. J Am Coll Cardiol. 2011; 58(19): 1989–1997.
  12. Buono A, Mühlenhaus A, Schäfer T, et al. QFR predicts the incidence of long-term adverse events in patients with suspected CAD: feasibility and reproducibility of the method. J Clin Med. 2020; 9(1).
  13. Kołtowski Ł, Zaleska M, Maksym J, et al. Quantitative flow ratio derived from diagnostic coronary angiography in assessment of patients with intermediate coronary stenosis: a wire-free fractional flow reserve study. Clin Res Cardiol. 2018; 107(9): 858–867.
  14. Xu Bo, Tu S, Qiao S, et al. Diagnostic accuracy of angiography-based quantitative flow ratio measurements for online assessment of coronary stenosis. J Am Coll Cardiol. 2017; 70(25): 3077–3087.
  15. Slager CJ, Wentzel JJ, Schuurbiers JC, et al. True 3-dimensional reconstruction of coronary arteries in patients by fusion of angiography and IVUS (ANGUS) and its quantitative validation. Circulation. 2000; 102(5): 511–516.
  16. Yu W, Huang J, Jia D, et al. Diagnostic accuracy of intracoronary optical coherence tomography-derived fractional flow reserve for assessment of coronary stenosis severity. EuroIntervention. 2019; 15(2): 189–197.
  17. Huang J, Emori H, Ding D, et al. Comparison of diagnostic performance of intracoronary optical coherence tomography-based and angiography-based fractional flow reserve for evaluation of coronary stenosis. EuroIntervention. 2020 [Epub ahead of print].
  18. Biscaglia S, Tebaldi M, Brugaletta S, et al. Prognostic value of QFR measured immediately after successful stent implantation: the international multicenter prospective HAWKEYE study. JACC Cardiovasc Interv. 2019; 12(20): 2079–2088.
  19. Kogame N, Takahashi K, Tomaniak M, et al. Clinical implication of quantitative flow ratio after percutaneous coronary intervention for 3-vessel disease. JACC Cardiovasc Interv. 2019; 12(20): 2064–2075.
  20. Fairbairn TA, Nieman K, Akasaka T, et al. Real-world clinical utility and impact on clinical decision-making of coronary computed tomography angiography-derived fractional flow reserve: lessons from the ADVANCE Registry. Eur Heart J. 2018; 39(41): 3701–3711.
  21. Collet C, Miyazaki Y, Ryan N, et al. Fractional flow reserve derived from computed tomographic angiography in patients with multivessel CAD. J Am Coll Cardiol. 2018; 71(24): 2756–2769.
  22. Driessen RS, Danad I, Stuijfzand WJ, et al. Comparison of coronary computed tomography angiography, fractional flow reserve, and perfusion imaging for ischemia diagnosis. J Am Coll Cardiol. 2019; 73(2): 161–173.
  23. Andreini D, Modolo R, Katagiri Y, et al. SYNTAX III REVOLUTION Investigators. Coronary computed tomography angiography for heart team decision-making in multivessel coronary artery disease. Eur Heart J. 2018; 39(41): 3689–3698.
  24. Kumar A, Thompson EW, Lefieux A, et al. High coronary shear stress in patients with coronary artery disease predicts myocardial infarction. J Am Coll Cardiol. 2018; 72(16): 1926–1935.
  25. Gijsen F, Katagiri Y, Barlis P, et al. Expert recommendations on the assessment of wall shear stress in human coronary arteries: existing methodologies, technical considerations, and clinical applications. Eur Heart J. 2019; 40(41): 3421–3433.

Regulations

Important: This website uses cookies. More >>

The cookies allow us to identify your computer and find out details about your last visit. They remembering whether you've visited the site before, so that you remain logged in - or to help us work out how many new website visitors we get each month. Most internet browsers accept cookies automatically, but you can change the settings of your browser to erase cookies or prevent automatic acceptance if you prefer.

By VM Media Group sp. z o.o., Grupa Via Medica, ul. Świętokrzyska 73, 80–180 Gdańsk, Poland
tel.:+48 58 320 94 94, fax:+48 58 320 94 60, e-mail: viamedica@viamedica.pl