Literature DB >> 24758651

CT angiography (CTA) and diagnostic performance of noninvasive fractional flow reserve: results from the Determination of Fractional Flow Reserve by Anatomic CTA (DeFACTO) study.

Jonathon Leipsic1, Tae-Hyun Yang, Angus Thompson, Bo-Kwon Koo, G B John Mancini, Carolyn Taylor, Matthew J Budoff, Hyung-Bok Park, Daniel S Berman, James K Min.   

Abstract

OBJECTIVE: Fractional flow reserve (FFR) computed from standard coronary CT scans (FFRCT) is a novel noninvasive method for determining the functional significance of coronary artery lesions. Compared with CT alone, FFRCT significantly improves diagnostic accuracy and discrimination for patients with and without hemodynamically significant coronary artery stenoses. To date, the impact of CT image quality on diagnostic performance of FFRCT is unknown. We evaluated the impact of patient preparation, CT scan protocol, and factors related to image quality on the diagnostic accuracy of FFRCT. SUBJECTS AND METHODS: We studied stable patients with suspected coronary artery disease (CAD), enrolled from 17 centers, who underwent CT, invasive coronary angiography, FFR, and FFRCT. The accuracy of CT and FFRCT for diagnosis of ischemia was compared against an invasive FFR reference standard. Anatomically obstructive CAD was defined by a stenosis value of at least 50 by CT or invasive coronary angiography, whereas ischemia was defined by an FFR or FFRCT of up to 0.80. Ischemia was assessed at the per-patient and per-vessel levels. Diagnostic performance of FFRCT was then evaluated in relation to patient preparation, including administration before CT of a β-blocker or nitroglycerin, as well as in relation to imaging characteristics, including misalignment, noise, motion, and coronary artery calcium.
RESULTS: Among 252 study participants, 137 (54.0%) had an abnormal FFR. Administration of a β-blocker increased FFRCT specificity (51.0% vs 66.0%; p = 0.03) with lower bias (-0.084 vs -0.048; p = 0.008), whereas nitroglycerin pretreatment within 30 minutes of CT was associated with improved specificity (54.0% vs 75.0%; p = 0.013). Misalignment artifacts resulted in impaired sensitivity (43.0% vs 86.0%; p = 0.001) with resultant reductions in overall accuracy (56.0% vs 71.0%; p = 0.03). No differences in diagnostic performance of FFRCT were noted in the presence of coronary motion or increasing coronary artery calcium score.
CONCLUSION: Use of β-blockade and nitroglycerin administration before CT improve diagnostic performance of FFRCT. Diagnostic accuracy of FFRCT is significantly reduced in the setting of misalignment artifacts.

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Year:  2014        PMID: 24758651     DOI: 10.2214/AJR.13.11441

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  35 in total

Review 1.  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

2.  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

3.  Interference with MCP-1 gene expression by vector generated triple helix-forming RNA oligonucleotides.

Authors:  K Kautz; M Schwarz; H H Radeke
Journal:  Cell Mol Life Sci       Date:  2005-02       Impact factor: 9.261

4.  Diagnostic performance of machine-learning-based computed fractional flow reserve (FFR) derived from coronary computed tomography angiography for the assessment of myocardial ischemia verified by invasive FFR.

Authors:  Xiuhua Hu; Minglei Yang; Lu Han; Yujiao Du
Journal:  Int J Cardiovasc Imaging       Date:  2018-07-30       Impact factor: 2.357

5.  Is FFR-CT a "game changer" in the diagnostic management of stable coronary artery disease?

Authors:  W A Leber
Journal:  Herz       Date:  2016-08       Impact factor: 1.443

6.  Computed tomography angiography-derived fractional flow reserve (CT-FFR) for the detection of myocardial ischemia with invasive fractional flow reserve as reference: systematic review and meta-analysis.

Authors:  Baiyan Zhuang; Shuli Wang; Shihua Zhao; Minjie Lu
Journal:  Eur Radiol       Date:  2019-11-06       Impact factor: 5.315

7.  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 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.  Fractional flow reserve based on computed tomography: an overview.

Authors:  Francesco Secchi; Marco Alì; Elena Faggiano; Paola Maria Cannaò; Marco Fedele; Silvia Tresoldi; Giovanni Di Leo; Ferdinando Auricchio; Francesco Sardanelli
Journal:  Eur Heart J Suppl       Date:  2016-04-29       Impact factor: 1.803

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