Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

CT-derived fractional flow reserve (CT-FFR) uses computational fluid dynamics to derive non-invasive FFR to determine the haemodynamic significance of coronary artery lesions. Studies have demonstrated good diagnostic accuracy of CT-FFR and reassuring short-term clinical outcome data.As a prerequisite, high-quality CT coronary angiography (CTCA) images are required with good heart rate control and pre-treatment with glyceryl trinitrate, which would otherwise render CTCA as unsuitable for CT-FFR. CT-FFR can determine the functional significance of CAD lesions, and there are supportive data for its use in clinical decision-making. However, the downstream impact on myocardial ischaemic burden or viability cannot be obtained.Several challenges remain with implementation of CT-FFR, including interpretation, training, availability, resource utilisation and funding. Further research is required to determine which cases should be considered for clinical CT-FFR analysis, with additional practical guidance on how to implement this emerging technique in clinical practice. Furthermore, long-term prognostic data are required before widespread clinical implementation of CT-FFR can be recommended.While there are several potential opportunities for CT-FFR, at present there remain important systemic and technical limitations and challenges that need to be overcome prior to routine integration of CT-FFR into clinical practice.

More information Original publication

DOI

10.1136/heartjnl-2019-315607

Type

Journal article

Publication Date

2020-09-01T00:00:00+00:00

Volume

106

Pages

1387 - 1393

Total pages

6

Keywords

advanced cardiac imaging, cardiac computer tomographic (CT) imaging, chronic coronary disease, coronary artery disease, Clinical Decision-Making, Computed Tomography Angiography, Coronary Angiography, Coronary Artery Disease, Coronary Vessels, Fractional Flow Reserve, Myocardial, Humans, Hydrodynamics, Models, Cardiovascular, Predictive Value of Tests, Prognosis, Radiographic Image Interpretation, Computer-Assisted, Reproducibility of Results, Severity of Illness Index