Angiography-Derived Fractional Flow Reserve: Newer Data and Future Directions

Dimitrios Strepkos; Jaskanwal Deep Singh Sara; Pedro E P Carvalho; Michaella Alexandrou; Deniz Mutlu; Ozgur S Ser; Arnold H Seto; William F Fearon; Bavana V Rangan; Olga C Mastrodemos; Sandeep Jalli; Konstantinos Voudris; M Nicholas Burke; Yader Sandoval; Emmanouil S Brilakis

doi:10.1016/j.amjcard.2024.11.021

Angiography-Derived Fractional Flow Reserve: Newer Data and Future Directions

Am J Cardiol. 2024 Nov 22:S0002-9149(24)00818-X. doi: 10.1016/j.amjcard.2024.11.021. Online ahead of print.

Authors

Affiliations

¹ Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minnesota, USA.
² Long Beach VA Health Care System, Long Beach, California, USA.
³ Department of Medicine, Division of Cardiology, Stanford Medical Center Palo Alto, Palo Alto, California, USA.
⁴ Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minnesota, USA.. Electronic address: esbrilakis@gmail.com.

PMID: 39581516
DOI: 10.1016/j.amjcard.2024.11.021

Abstract

Several novel software systems have been developed for the reconstruction of the coronary tree and the calculation of fractional flow reserve from coronary angiography images without coronary instrumentation: FFRangio, Computational pressure-flow dynamics derived FFR (caFFR), Quantitative flow ratio (QFR) and vessel fractional flow reserve (vFFR). In this article we review the current evidence on each software, their contemporary use and future directions.

Keywords: Fractional flow reserve software; angiography; coronary revascularization.

Publication types

Review