Vol 27, No 3 (2020)
Editorial comments — Interventional cardiology
Published online: 2020-06-19

open access

Page views 1337
Article views/downloads 1477
Get Citation

Connect on Social Media

Connect on Social Media

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.


Not available

Article available in PDF format

View PDF Download PDF file


  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.