Literature DB >> 28506646

Virtual Resting Pd/Pa From Coronary Angiography and Blood Flow Modelling: Diagnostic Performance Against Fractional Flow Reserve.

Michail I Papafaklis1, Takashi Muramatsu2, Yuki Ishibashi2, Christos V Bourantas2, Dimitrios I Fotiadis3, Emmanouil S Brilakis4, Héctor M Garcia-Garcia2, Javier Escaned5, Patrick W Serruys6, Lampros K Michalis7.   

Abstract

BACKGROUND: Fractional flow reserve (FFR) has been established as a useful diagnostic tool. The distal coronary pressure to aortic pressure (Pd/Pa) ratio at rest is a simpler physiologic index but also requires the use of the pressure wire, whereas recently proposed virtual functional indices derived from coronary imaging require complex blood flow modelling and/or are time-consuming. Our aim was to test the diagnostic performance of virtual resting Pd/Pa using routine angiographic images and a simple flow model.
METHODS: Three-dimensional quantitative coronary angiography (3D-QCA) was performed in 139 vessels (120 patients) with intermediate lesions assessed by FFR. The resting Pd/Pa for each lesion was assessed by computational fluid dynamics.
RESULTS: The discriminatory power of virtual resting Pd/Pa against FFR (reference: ≤0.80) was high (area under the receiver operator characteristic curve [AUC]: 90.5% [95% CI: 85.4-95.6%]). Diagnostic accuracy, sensitivity and specificity for the optimal virtual resting Pd/Pa cut-off (≤0.94) were 84.9%, 90.4% and 81.6%, respectively. Virtual resting Pd/Pa demonstrated superior performance (p<0.001) versus 3D-QCA %area stenosis (AUC: 77.5% [95% CI: 69.8-85.3%]). There was a good correlation between virtual resting Pd/Pa and FFR (r=0.69, p<0.001).
CONCLUSIONS: Virtual resting Pd/Pa using routine angiographic data and a simple flow model provides fast functional assessment of coronary lesions without requiring the pressure-wire and hyperaemia induction. The high diagnostic performance of virtual resting Pd/Pa for predicting FFR shows promise for using this simple/fast virtual index in clinical practice.
Copyright © 2017 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Computational flow dynamics; Coronary stenoses; Fractional flow reserve; Functional assessment; Haemodynamics

Mesh:

Year:  2017        PMID: 28506646     DOI: 10.1016/j.hlc.2017.03.163

Source DB:  PubMed          Journal:  Heart Lung Circ        ISSN: 1443-9506            Impact factor:   2.975


  2 in total

1.  The Importance of Measuring Coronary Blood Flow for Clinical Decision Making.

Authors:  Cynthia Yeung; Adrian Baranchuk; Gary Tse; Tong Liu
Journal:  Curr Cardiol Rev       Date:  2019

Review 2.  Coronary Physiology Derived from Invasive Angiography: Will it be a Game Changer?

Authors:  Lavinia Gabara; Jonathan Hinton; Julian Gunn; Paul D Morris; Nick Curzen
Journal:  Interv Cardiol       Date:  2020-06-04
  2 in total

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