Literature DB >> 22682261

Effect of image quality on diagnostic accuracy of noninvasive fractional flow reserve: results from the prospective multicenter international DISCOVER-FLOW study.

James K Min1, Bon-Kwon Koo, Andrejs Erglis, Joon-Hyung Doh, David V Daniels, Sanda Jegere, Hyo-Soo Kim, Allison Dunning, Tony Defrance, Jonathan Leipsic.   

Abstract

BACKGROUND: Fractional flow reserve calculated from coronary CT (FFR(CT)) is a novel method for determining lesion-specific ischemia.
OBJECTIVE: To assess the effect of CT quality on accuracy of FFR(CT), we compared performance of FFR(CT) with severe stenosis by CT in relation to image quality; heart rate; signal-to-noise ratio (SNR); and common CT artifacts, including calcification, motion, and poor contrast enhancement.
METHODS: FFR(CT) was performed on 159 vessels in 103 patients undergoing CT, FFR(CT), and FFR. Ischemia was defined as FFR(CT) and FFR ≤ 0.80, and severe stenosis by CT was defined by ≥50% reduction in luminal diameter. FFR(CT) and CT stenosis were compared with FFR, which served as the reference.
RESULTS: On a vessel basis, accuracy of FFR(CT) was higher than CT stenosis for satisfactory or poor quality CTs (87.5% vs 64.6%), for heart rates > 65 beats/min (100% vs 52.9%), and for SNR less than the median (26.3) (84.4% vs 64.1%). Accuracy of FFR(CT) was superior to CT stenosis in the presence of calcification (85.7% vs 66.7%), motion (90.5% vs 57.1%), and poor contrast opacification (100.0% vs 71.4%). Similar relations were observed for exploratory analyses of FFR(CT) and CT stenosis on a patient basis. In 42 subjects who underwent coronary calcium scanning, accuracy of FFR(CT) was 77.8% (n = 18), 100% (n = 11), and 100% (n = 13) for coronary calcium scores of 0-100, 101-400, and >400, respectively.
CONCLUSIONS: Accuracy of FFR(CT) is superior to CT stenosis for determining lesion-specific ischemia. The performance of FFR(CT) remains robust across an array of factors known to adversely affect CT quality.
Copyright © 2012. Published by Elsevier Inc.

Entities:  

Mesh:

Year:  2012        PMID: 22682261     DOI: 10.1016/j.jcct.2012.04.010

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


  27 in total

1.  Noninvasive fractional flow reserve measurement in stable CAD.

Authors:  H Ouyang; P A L Tonino
Journal:  Herz       Date:  2015-05       Impact factor: 1.443

Review 2.  Physiome approach for the analysis of vascular flow reserve in the heart and brain.

Authors:  Kyung Eun Lee; Ah-Jin Ryu; Eun-Seok Shin; Eun Bo Shim
Journal:  Pflugers Arch       Date:  2017-03-28       Impact factor: 3.657

3.  Assessment of factors associated with measurability of fractional flow reserve derived from coronary computed tomography angiography in type 2 diabetic patients with intermediate coronary artery stenosis.

Authors:  Tsuyoshi Nozue; Takeshi Takamura; Kazuki Fukui; Kiyoshi Hibi; Satoru Kishi; Ichiro Michishita
Journal:  Int J Cardiovasc Imaging       Date:  2018-10-19       Impact factor: 2.357

4.  Response to letter regarding article, "Noninvasive fractional flow reserve derived from computed tomography angiography for coronary lesions of intermediate stenosis severity: results from the DeFACTO study".

Authors:  Ryo Nakazato; Hyung-Bok Park; Daniel S Berman; Heidi Gransar; Bon-Kwon Koo; Andrejs Erglis; Fay Y Lin; Allison M Dunning; Matthew J Budoff; Jennifer Malpeso; Jonathon Leipsic; James K Min
Journal:  Circ Cardiovasc Imaging       Date:  2014-05       Impact factor: 7.792

5.  Fractional flow reserve by computerized tomography and subsequent coronary revascularization.

Authors:  René R Sevag Packard; Dong Li; Matthew J Budoff; Ronald P Karlsberg
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2016-07-28       Impact factor: 6.875

6.  Defining the flow-limiting stenosis noninvasively for management of patients with coronary artery disease.

Authors:  Tiago A Magalhães; João A C Lima
Journal:  JACC Cardiovasc Interv       Date:  2013-12-11       Impact factor: 11.195

7.  Integrating FFRCT Into Routine Clinical Practice: A Solid PLATFORM or Slippery Slope?

Authors:  René R Sevag Packard; Ronald P Karlsberg
Journal:  J Am Coll Cardiol       Date:  2016-08-02       Impact factor: 24.094

Review 8.  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 9.  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

10.  Automated estimation of image quality for coronary computed tomographic angiography using machine learning.

Authors:  Rine Nakanishi; Sethuraman Sankaran; Leo Grady; Jenifer Malpeso; Razik Yousfi; Kazuhiro Osawa; Indre Ceponiene; Negin Nazarat; Sina Rahmani; Kendall Kissel; Eranthi Jayawardena; Christopher Dailing; Christopher Zarins; Bon-Kwon Koo; James K Min; Charles A Taylor; Matthew J Budoff
Journal:  Eur Radiol       Date:  2018-03-23       Impact factor: 5.315

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