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Angiography-derived fractional flow reserve: more or less physiology?

Angiography-derived fractional flow reserve: more or less physiology?
Angiography-derived fractional flow reserve: more or less physiology?
Evidence robustly demonstrates that ischemia, rather than anatomy, is the optimal target for coronary revascularization. In the cardiac catheter laboratory, fractional flow reserve (FFR) and corresponding diastolic indices are regarded as the gold standard for physiological lesion assessment and ischemia detection (Table 1). Yet, despite a wealth of supporting data and indications in international guidelines, the use of FFR remains surprisingly low in the diagnostic assessment of coronary artery disease across the world.1, 2 To address this, multiple groups have developed methods for computing FFR from invasive angiography, without the need for passing a pressure wire or inducing hyperemia, thus removing the main barriers to uptake. Angiography‐derived FFR therefore has the potential to extend the benefits of physiological coronary lesion assessment to considerably more patients. Given the size of the interventional cardiology market, clinical and commercial motivation to deliver these tools as quickly as possible could hardly be greater. Several models are now approved as medical devices. Imminently, physicians and healthcare providers will have to decide whether to use these tools. But do they truly deliver physiology, and are they accurate enough? There are 3 particular areas of that deserve close scrutiny.
computational flow dynamics, computer‐based model, coronary microvascular resistance, fractional flow reserve, imaging
e015586
Morris, Paul D
1bc1c159-4fb2-44e5-bd4b-679fae05fb97
Curzen, Nick
c590bddc-f851-4b94-b3b8-00120e8a87ef
Gunn, Julian P
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Curzen, Nicholas
70f3ea49-51b1-418f-8e56-8210aef1abf4
Morris, Paul D
1bc1c159-4fb2-44e5-bd4b-679fae05fb97
Curzen, Nick
c590bddc-f851-4b94-b3b8-00120e8a87ef
Gunn, Julian P
a5d9d4e0-75dc-4c70-a779-4012ecbcf7ee
Curzen, Nicholas
70f3ea49-51b1-418f-8e56-8210aef1abf4

Morris, Paul D, Curzen, Nick, Gunn, Julian P and Curzen, Nicholas (2020) Angiography-derived fractional flow reserve: more or less physiology? Journal of the American Heart Association, 9 (6), e015586. (doi:10.1161/JAHA.119.015586).

Record type: Article

Abstract

Evidence robustly demonstrates that ischemia, rather than anatomy, is the optimal target for coronary revascularization. In the cardiac catheter laboratory, fractional flow reserve (FFR) and corresponding diastolic indices are regarded as the gold standard for physiological lesion assessment and ischemia detection (Table 1). Yet, despite a wealth of supporting data and indications in international guidelines, the use of FFR remains surprisingly low in the diagnostic assessment of coronary artery disease across the world.1, 2 To address this, multiple groups have developed methods for computing FFR from invasive angiography, without the need for passing a pressure wire or inducing hyperemia, thus removing the main barriers to uptake. Angiography‐derived FFR therefore has the potential to extend the benefits of physiological coronary lesion assessment to considerably more patients. Given the size of the interventional cardiology market, clinical and commercial motivation to deliver these tools as quickly as possible could hardly be greater. Several models are now approved as medical devices. Imminently, physicians and healthcare providers will have to decide whether to use these tools. But do they truly deliver physiology, and are they accurate enough? There are 3 particular areas of that deserve close scrutiny.

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e-pub ahead of print date: 11 March 2020
Published date: 17 March 2020
Keywords: computational flow dynamics, computer‐based model, coronary microvascular resistance, fractional flow reserve, imaging

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Local EPrints ID: 442629
URI: http://eprints.soton.ac.uk/id/eprint/442629
PURE UUID: f0d403b0-f723-4a50-acaf-3fe1264f19d7
ORCID for Nicholas Curzen: ORCID iD orcid.org/0000-0001-9651-7829

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Date deposited: 21 Jul 2020 16:34
Last modified: 17 Mar 2024 03:02

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Contributors

Author: Paul D Morris
Author: Nick Curzen
Author: Julian P Gunn
Author: Nicholas Curzen ORCID iD

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