Literature DB >> 24268114

Rationale and design of the HeartFlowNXT (HeartFlow analysis of coronary blood flow using CT angiography: NeXt sTeps) study.

Sara Gaur1, Stephan Achenbach, Jonathon Leipsic, Laura Mauri, Hiram G Bezerra, Jesper Møller Jensen, Hans Erik Bøtker, Jens Flensted Lassen, Bjarne Linde Nørgaard.   

Abstract

INTRODUCTION: Coronary CT angiography (CTA) is an established noninvasive method for visualization of coronary artery disease. However, coronary CTA lacks physiological information; thus, it does not permit differentiation of ischemia-causing lesions. Recent advances in computational fluid dynamic techniques applied to standard coronary CTA images allow for computation of fractional flow reserve (FFR), a measure of lesion-specific ischemia. The diagnostic performance of computed FFR (FFRCT) compared with invasively measured FFR is not yet fully established. METHODS/
DESIGN: HeartFlowNXT (HeartFlow analysis of coronary blood flow using coronary CT angiography: NeXt sTeps) is a prospective, international, multicenter study designed to evaluate the diagnostic performance of FFRCT for the detection and exclusion of flow-limiting obstructive coronary stenoses, as defined by invasively measured FFR as the reference standard. FFR values ≤ 0.80 will be considered to be ischemia causing. All subjects (N = 270; 10 investigative sites) will undergo coronary CTA (single- or dual-source CT scanners with a minimum of 64 slices) and invasive coronary angiography with FFR. Patients with insufficient quality of coronary CTA will be excluded. Blinded core laboratory interpretation will be performed for FFRCT, invasive coronary angiography, and FFR. Stenosis severity by coronary CTA will be evaluated by the investigative site in addition to a blinded core laboratory interpretation. The primary objective of the study is to determine the diagnostic performance of FFRCT compared with coronary CTA alone to noninvasively determine the presence of hemodynamically significant coronary lesions. The secondary end point comprises assessment of diagnostic accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of FFRCT.
Copyright © 2013 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.

Entities:  

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

Mesh:

Year:  2013        PMID: 24268114     DOI: 10.1016/j.jcct.2013.09.003

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


  18 in total

1.  Coronary lesion characteristics with mismatch between fractional flow reserve derived from CT and invasive catheterization in clinical practice.

Authors:  Kazuhiro Osawa; Toru Miyoshi; Takashi Miki; Yuji Koide; Yusuke Kawai; Kentaro Ejiri; Masatoki Yoshida; Shuhei Sato; Susumu Kanazawa; Hiroshi Ito
Journal:  Heart Vessels       Date:  2016-09-13       Impact factor: 2.037

2.  Feasibility and diagnostic performance of fractional flow reserve measurement derived from coronary computed tomography angiography in real clinical practice.

Authors:  Tetsuma Kawaji; Hiroki Shiomi; Hiroshi Morishita; Takeshi Morimoto; Charles A Taylor; Shotaro Kanao; Koji Koizumi; Satoshi Kozawa; Kazuhisa Morihiro; Hirotoshi Watanabe; Junichi Tazaki; Masao Imai; Naritatsu Saito; Satoshi Shizuta; Koh Ono; Kaori Togashi; Takeshi Kimura
Journal:  Int J Cardiovasc Imaging       Date:  2016-10-07       Impact factor: 2.357

Review 3.  Fractional flow reserve derived from coronary CT angiography in stable coronary disease: a new standard in non-invasive testing?

Authors:  B L Nørgaard; J M Jensen; J Leipsic
Journal:  Eur Radiol       Date:  2015-02-14       Impact factor: 5.315

Review 4.  Coronary CT Angiography Derived Fractional Flow Reserve: The Game Changer in Noninvasive Testing.

Authors:  Bjarne Linde Nørgaard; Jesper Møller Jensen; Philipp Blanke; Niels Peter Sand; Mark Rabbat; Jonathon Leipsic
Journal:  Curr Cardiol Rep       Date:  2017-09-22       Impact factor: 2.931

Review 5.  Fractional flow reserve computed tomography in the evaluation of coronary artery disease.

Authors:  Shaw Hua Kueh; Matthew Boroditsky; Jonathon Leipsic
Journal:  Cardiovasc Diagn Ther       Date:  2017-10

Review 6.  [Computed tomography in patients with chronic stable angina : Fractional flow reserve measurement].

Authors:  M Renker; U J Schoepf; T Becher; N Krampulz; W Kim; A Rolf; H Möllmann; C W Hamm; T Henzler; M Borggrefe; I Akin; S Baumann
Journal:  Herz       Date:  2016-06-02       Impact factor: 1.443

7.  Impact of coronary revascularization vs medical therapy on ischemia among stable patients with or suspected coronary artery disease undergoing serial myocardial perfusion scintigraphy.

Authors:  Francesco Nudi; Natale Di Belardino; Francesco Versaci; Annamaria Pinto; Enrica Procaccini; Giandomenico Neri; Maurizio Vetere; Giacomo Frati; Mariangela Peruzzi; Orazio Schillaci; Achille Gaspardone; Fabrizio Tomai; Giuseppe Biondi-Zoccai
Journal:  J Nucl Cardiol       Date:  2016-05-26       Impact factor: 5.952

8.  Coronary plaque quantification and fractional flow reserve by coronary computed tomography angiography identify ischaemia-causing lesions.

Authors:  Sara Gaur; Kristian Altern Øvrehus; Damini Dey; Jonathon Leipsic; Hans Erik Bøtker; Jesper Møller Jensen; Jagat Narula; Amir Ahmadi; Stephan Achenbach; Brian S Ko; Evald Høj Christiansen; Anne Kjer Kaltoft; Daniel S Berman; Hiram Bezerra; Jens Flensted Lassen; Bjarne Linde Nørgaard
Journal:  Eur Heart J       Date:  2016-01-12       Impact factor: 29.983

Review 9.  Coronary Computed Tomography Angiography Derived Fractional Flow Reserve and Plaque Stress.

Authors:  Bjarne Linde Nørgaard; Jonathon Leipsic; Bon-Kwon Koo; Christopher K Zarins; Jesper Møller Jensen; Niels Peter Sand; Charles A Taylor
Journal:  Curr Cardiovasc Imaging Rep       Date:  2016-01-05

10.  Computed Tomography-Derived Fractional Flow Reserve in the Detection of Lesion-Specific Ischemia: An Integrated Analysis of 3 Pivotal Trials.

Authors:  Rende Xu; Chenguang Li; Juying Qian; Junbo Ge
Journal:  Medicine (Baltimore)       Date:  2015-11       Impact factor: 1.817

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