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


- First Department of Cardiology, Medical University of Warsaw, Banacha 1a, 02-097 Warsaw, Poland
- National Heart and Lung Institute, Imperial College London, United Kingdom
- Department of Cardiology, National University of Ireland, Galway, Ireland
open access
Abstract
Abstract
Keywords
FFR, angiography-based functional lesion assessment, qFR, vFFR, FFRangio, FFRCT


Title
Combining anatomy and physiology: New angiography-based and computed tomography coronary angiography-derived fractional flow reserve indices
Journal
Issue
Pages
225-229
Published online
2020-06-19
Page views
1246
Article views/downloads
1378
DOI
Pubmed
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


- 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.
- Serruys PW, Girasis C, Papadopoulou SL, et al. Non-invasive fractional flow reserve: scientific basis, methods and perspectives. EuroIntervention. 2012; 8(4): 511–519.
- 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.
- 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.
- 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.
- 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.
- 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).
- 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.
- 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.
- 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.
- 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.
- 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).
- 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.
- 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.
- 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.
- 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.
- 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].
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.