Literature DB >> 28666784

Interpreting results of coronary computed tomography angiography-derived fractional flow reserve in clinical practice.

Mark G Rabbat1, Daniel S Berman2, Morton Kern3, Gilbert Raff4, Kavitha Chinnaiyan4, Lynne Koweek5, Leslee J Shaw6, Philipp Blanke7, Markus Scherer8, Jesper M Jensen9, John Lesser10, Bjarne L Nørgaard9, Gianluca Pontone11, Bernard De Bruyne12, Jeroen J Bax13, Jonathon Leipsic7.   

Abstract

The application of computational fluid dynamics to coronary computed tomography angiography allows Fractional Flow Reserve (FFR) to be calculated non-invasively (FFRCT), enabling computation of FFR from coronary computed tomography angiography acquired at rest both for individual lesions as well as along the entire course of a coronary artery. FFRCT, validated in a number of accuracy studies and a large clinical utility trial, is beginning to penetrate clinical practice. Importantly, while accuracy trials compared FFRCT to invasively measured FFR at a single point in the coronary tree, clinical reports of FFRCT provide information regarding a patient's entire coronary vasculature. Specifically, in distal coronary segments, calculated FFRCT values may be low and below 0.80 even in the absence of localized stenoses within the course of the artery. As a result, the reporting physician needs to understand how to interpret the findings in a clinically useful and thoughtful fashion. This review provides a brief overview of the background of both invasively measured and computationally derived FFR, explains changes in FFR along the course of normal coronary arteries and those affected by coronary atherosclerosis, and outlines the relevance of measurement location when interpreting and reporting FFR and FFRCT results. Published by Elsevier Inc.

Entities:  

Keywords:  Computational fluid dynamics; Coronary artery disease; Coronary computed tomography angiography; Fractional flow reserve

Mesh:

Year:  2017        PMID: 28666784     DOI: 10.1016/j.jcct.2017.06.002

Source DB:  PubMed          Journal:  J Cardiovasc Comput Tomogr        ISSN: 1876-861X


  15 in total

1.  Machine learning-based advances in coronary computed tomography angiography.

Authors:  Mina M Benjamin; Mark G Rabbat
Journal:  Quant Imaging Med Surg       Date:  2021-06

2.  Exercise electrocardiography and computed tomography coronary angiography: use of combined functional and anatomical testing in stable angina pectoris.

Authors:  Stella Kyung; Mina M Benjamin; Mark Rabbat
Journal:  Quant Imaging Med Surg       Date:  2020-11

3.  Fusion of Three-Dimensional Echocardiographic Regional Myocardial Strain with Cardiac Computed Tomography for Noninvasive Evaluation of the Hemodynamic Impact of Coronary Stenosis in Patients with Chest Pain.

Authors:  Victor Mor-Avi; Mita B Patel; Francesco Maffessanti; Amita Singh; Diego Medvedofsky; S Javed Zaidi; Anuj Mediratta; Akhil Narang; Noreen Nazir; Nadjia Kachenoura; Roberto M Lang; Amit R Patel
Journal:  J Am Soc Echocardiogr       Date:  2018-03-22       Impact factor: 5.251

4.  Hemodynamic impact of coronary stenosis using computed tomography: comparison between noninvasive fractional flow reserve and 3D fusion of coronary angiography with stress myocardial perfusion.

Authors:  Amit R Patel; Francesco Maffessanti; Mita B Patel; Kalie Kebed; Akhil Narang; Amita Singh; Diego Medvedofsky; S Javed Zaidi; Anuj Mediratta; Neha Goyal; Nadjia Kachenoura; Roberto M Lang; Victor Mor-Avi
Journal:  Int J Cardiovasc Imaging       Date:  2019-05-09       Impact factor: 2.357

5.  Multimodal Multiparametric Three-dimensional Image Fusion in Coronary Artery Disease: Combining the Best of Two Worlds.

Authors:  Jochen von Spiczak; Manoj Mannil; Hanna Model; Chris Schwemmer; Sebastian Kozerke; Frank Ruschitzka; Hatem Alkadhi; Robert Manka
Journal:  Radiol Cardiothorac Imaging       Date:  2020-04-16

Review 6.  [Beyond Coronary CT Angiography: CT Fractional Flow Reserve and Perfusion].

Authors:  Moon Young Kim; Dong Hyun Yang; Ki Seok Choo; Whal Lee
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2022-01-21

7.  Subtraction CT angiography improves evaluation of significant coronary artery disease in patients with severe calcifications or stents-the C-Sub 320 multicenter trial.

Authors:  Andreas Fuchs; J Tobias Kühl; Marcus Y Chen; David Viladés Medel; Xavier Alomar; Sujata M Shanbhag; Steffen Helqvist; Klaus F Kofoed
Journal:  Eur Radiol       Date:  2018-04-25       Impact factor: 5.315

Review 8.  Computed tomographic evaluation of myocardial ischemia.

Authors:  Yuki Tanabe; Akira Kurata; Takuya Matsuda; Kazuki Yoshida; Dhiraj Baruah; Teruhito Kido; Teruhito Mochizuki; Prabhakar Rajiah
Journal:  Jpn J Radiol       Date:  2020-02-05       Impact factor: 2.374

Review 9.  Fractional Flow Reserve Derived from Coronary Computed Tomography Angiography Datasets: The Next Frontier in Noninvasive Assessment of Coronary Artery Disease.

Authors:  Caroline Ball; Gianluca Pontone; Mark Rabbat
Journal:  Biomed Res Int       Date:  2018-07-25       Impact factor: 3.411

10.  Relationship of Stress Test Findings to Anatomic or Functional Extent of Coronary Artery Disease Assessed by Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve.

Authors:  Demetrios Doukas; Sorcha Allen; Amy Wozniak; Siri Kunchakarra; Rina Verma; Jessica Marot; John J Lopez; Koen Nieman; Gianluca Pontone; Jonathon Leipsic; Jeroen Bax; Mark G Rabbat
Journal:  Biomed Res Int       Date:  2021-02-24       Impact factor: 3.411

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