Gabara, L., Hinton, J., Gunn, J. orcid.org/0000-0003-0028-3226 et al. (2 more authors) (2020) Coronary physiology derived from invasive angiography : will it be a game changer? Interventional Cardiology Review, 15. e06. ISSN 1756-1477
Abstract
There is a large body of evidence suggesting that having knowledge of the presence and extent of coronary atheroma and whether it is causing downstream myocardial ischaemia facilitates optimal diagnosis and management for patients presenting with chest pain. Despite this, the use of coronary pressure wire in routine practice is surprisingly low and routine assessment of all diseased vessels before making a bespoke management plan is rare. The advent of angiogram-derived models of physiology could change diagnostic practice completely. By offering routine assessment of the physiology of all the major epicardial coronary vessels, angiogram-derived physiology has the potential to radically modify current practice by facilitating more accurate patient-level, vessel-level, and even lesion-level decision-making. In this article, the authors review the current state of angiogram-derived physiology and speculate on its potential impact on clinical practice.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2020 The Authors. This work is open access under the CC-BY-NC 4.0 License which allows users to copy, redistribute and make derivative works for non-commercial purposes, provided the original work is cited correctly. https://creativecommons.org/licenses/by-nc/4.0/ |
Keywords: | Computational fluid dynamics; coronary artery disease; microvascular physiology; coronary modelling; physiology; fractional flow reserve; virtual fractional flow reserve; chronic coronary syndrome; angiography-derived physiology |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Sheffield Teaching Hospitals |
Funding Information: | Funder Grant number WELLCOME TRUST (THE) 214567/Z/18/Z |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 23 Jun 2020 09:40 |
Last Modified: | 28 Oct 2021 13:32 |
Status: | Published |
Publisher: | Radcliffe Group Ltd |
Refereed: | Yes |
Identification Number: | 10.15420/icr.2019.25 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:162060 |