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Research letter
Published online: 2020-10-27
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Hyperemic contrast velocity assessment improves accuracy of the image-based fractional flow reserve calculation

Balázs Tar, Csaba Jenei, Áron Üveges, Gábor Tamás Szabó, András Ágoston, Csaba András Dézsi, András Komócsi, Dániel Czuriga, Attila Juhász, Zsolt Kőszegi
DOI: 10.5603/CJ.a2020.0144
·
Pubmed: 33140387

open access

Ahead of print
Research letter
Published online: 2020-10-27

Abstract

Not available

Abstract

Not available
Get Citation

Keywords

coronary flow reserve, fractional flow reserve, adenosine, image-based FFR

About this article
Title

Hyperemic contrast velocity assessment improves accuracy of the image-based fractional flow reserve calculation

Journal

Cardiology Journal

Issue

Ahead of print

Published online

2020-10-27

DOI

10.5603/CJ.a2020.0144

Pubmed

33140387

Keywords

coronary flow reserve
fractional flow reserve
adenosine
image-based FFR

Authors

Balázs Tar
Csaba Jenei
Áron Üveges
Gábor Tamás Szabó
András Ágoston
Csaba András Dézsi
András Komócsi
Dániel Czuriga
Attila Juhász
Zsolt Kőszegi

References (8)
  1. 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.
  2. Tar B, Jenei C, Dezsi CA, et al. Less invasive fractional flow reserve measurement from 3-dimensional quantitative coronary angiography and classic fluid dynamic equations. EuroIntervention. 2018; 14(8): 942–950.
  3. Tu S, Westra J, Yang J, et al. FAVOR Pilot Trial Study Group. Diagnostic Accuracy of Fast Computational Approaches to Derive Fractional Flow Reserve From Diagnostic Coronary Angiography: The International Multicenter FAVOR Pilot Study. JACC Cardiovasc Interv. 2016; 9(19): 2024–2035.
  4. 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.
  5. Koszegi Z, Tar B, Ember S, et al. Calculation the translesiona pressure gradients on coronary stenosis by combining three dimensiona coronary angiography parameters with frame count data. Computing in Cardiology. 2011; 38: 729–32.
  6. Gibson CM, Cannon CP, Daley WL, et al. TIMI frame count: a quantitative method of assessing coronary artery flow. Circulation. 1996; 93(5): 879–888.
  7. Abaci A, Oguzhan A, Eryol NK, et al. Effect of potential confounding factors on the thrombolysis in myocardial infarction (TIMI) trial frame count and its reproducibility. Circulation. 1999; 100(22): 2219–2223.
  8. Mejía-Rentería H, Lee JM, Lauri F, et al. Influence of microcirculatory dysfunction on angiography-based functional assessment of coronary stenoses. JACC Cardiovasc Interv. 2018; 11(8): 741–753.

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