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Quantification of fractional flow reserve based on angiographic image data

Coronary angiography provides excellent visualization of coronary arteries, but has limitations in assessing the clinical significance of a coronary stenosis. Fractional flow reserve (FFR) has been shown to be reliable in discerning stenoses responsible for inducible ischemia. The purpose of this st...

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Autores principales: Wong, Jerry T., Le, Huy, Suh, William M., Chalyan, David A., Mehraien, Toufan, Kern, Morton J., Kassab, Ghassan S., Molloi, Sabee
Formato: Texto
Lenguaje:English
Publicado: Springer Netherlands 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3094747/
https://www.ncbi.nlm.nih.gov/pubmed/21213051
http://dx.doi.org/10.1007/s10554-010-9767-0
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author Wong, Jerry T.
Le, Huy
Suh, William M.
Chalyan, David A.
Mehraien, Toufan
Kern, Morton J.
Kassab, Ghassan S.
Molloi, Sabee
author_facet Wong, Jerry T.
Le, Huy
Suh, William M.
Chalyan, David A.
Mehraien, Toufan
Kern, Morton J.
Kassab, Ghassan S.
Molloi, Sabee
author_sort Wong, Jerry T.
collection PubMed
description Coronary angiography provides excellent visualization of coronary arteries, but has limitations in assessing the clinical significance of a coronary stenosis. Fractional flow reserve (FFR) has been shown to be reliable in discerning stenoses responsible for inducible ischemia. The purpose of this study is to validate a technique for FFR quantification using angiographic image data. The study was carried out on 10 anesthetized, closed-chest swine using angioplasty balloon catheters to produce partial occlusion. Angiography based FFR was calculated from an angiographically measured ratio of coronary blood flow to arterial lumen volume. Pressure-based FFR was measured from a ratio of distal coronary pressure to aortic pressure. Pressure-wire measurements of FFR (FFR(P)) correlated linearly with angiographic volume-derived measurements of FFR (FFR(V)) according to the equation: FFR(P) = 0.41 FFR(V) + 0.52 (P-value < 0.001). The correlation coefficient and standard error of estimate were 0.85 and 0.07, respectively. This is the first study to provide an angiographic method to quantify FFR in swine. Angiographic FFR can potentially provide an assessment of the physiological severity of a coronary stenosis during routine diagnostic cardiac catheterization without a need to cross a stenosis with a pressure-wire.
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spelling pubmed-30947472012-02-21 Quantification of fractional flow reserve based on angiographic image data Wong, Jerry T. Le, Huy Suh, William M. Chalyan, David A. Mehraien, Toufan Kern, Morton J. Kassab, Ghassan S. Molloi, Sabee Int J Cardiovasc Imaging Original Paper Coronary angiography provides excellent visualization of coronary arteries, but has limitations in assessing the clinical significance of a coronary stenosis. Fractional flow reserve (FFR) has been shown to be reliable in discerning stenoses responsible for inducible ischemia. The purpose of this study is to validate a technique for FFR quantification using angiographic image data. The study was carried out on 10 anesthetized, closed-chest swine using angioplasty balloon catheters to produce partial occlusion. Angiography based FFR was calculated from an angiographically measured ratio of coronary blood flow to arterial lumen volume. Pressure-based FFR was measured from a ratio of distal coronary pressure to aortic pressure. Pressure-wire measurements of FFR (FFR(P)) correlated linearly with angiographic volume-derived measurements of FFR (FFR(V)) according to the equation: FFR(P) = 0.41 FFR(V) + 0.52 (P-value < 0.001). The correlation coefficient and standard error of estimate were 0.85 and 0.07, respectively. This is the first study to provide an angiographic method to quantify FFR in swine. Angiographic FFR can potentially provide an assessment of the physiological severity of a coronary stenosis during routine diagnostic cardiac catheterization without a need to cross a stenosis with a pressure-wire. Springer Netherlands 2011-01-07 2012 /pmc/articles/PMC3094747/ /pubmed/21213051 http://dx.doi.org/10.1007/s10554-010-9767-0 Text en © The Author(s) 2010 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Original Paper
Wong, Jerry T.
Le, Huy
Suh, William M.
Chalyan, David A.
Mehraien, Toufan
Kern, Morton J.
Kassab, Ghassan S.
Molloi, Sabee
Quantification of fractional flow reserve based on angiographic image data
title Quantification of fractional flow reserve based on angiographic image data
title_full Quantification of fractional flow reserve based on angiographic image data
title_fullStr Quantification of fractional flow reserve based on angiographic image data
title_full_unstemmed Quantification of fractional flow reserve based on angiographic image data
title_short Quantification of fractional flow reserve based on angiographic image data
title_sort quantification of fractional flow reserve based on angiographic image data
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3094747/
https://www.ncbi.nlm.nih.gov/pubmed/21213051
http://dx.doi.org/10.1007/s10554-010-9767-0
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