Literature DB >> 26347004

Meta-Analysis of Diagnostic Performance of Coronary Computed Tomography Angiography, Computed Tomography Perfusion, and Computed Tomography-Fractional Flow Reserve in Functional Myocardial Ischemia Assessment Versus Invasive Fractional Flow Reserve.

Jorge A Gonzalez1, Michael J Lipinski2, Lucia Flors3, Peter W Shaw1, Christopher M Kramer4, Michael Salerno5.   

Abstract

We sought to compare the diagnostic performance of coronary computed tomography angiography (CCTA), computed tomography perfusion (CTP), and computed tomography (CT)-fractional flow reserve (FFR) for assessing the functional significance of coronary stenosis as defined by invasive FFR in patients with known or suspected coronary artery disease (CAD). CCTA has proved clinically useful for excluding obstructive CAD because of its high sensitivity and negative predictive value (NPV); however, the ability of CTA to identify functionally significant CAD has remained challenging. We searched PubMed/Medline for studies evaluating CCTA, CTP, or CT-FFR for the noninvasive detection of obstructive CAD compared with catheter-derived FFR as the reference standard. Pooled sensitivity, specificity, PPV, NPV, likelihood ratios, and odds ratio of all diagnostic tests were assessed. Eighteen studies involving a total of 1,535 patients were included. CTA demonstrated a pooled sensitivity of 0.92, specificity 0.43, PPV of 0.56, and NPV of 0.87 on a per-patient level. CT-FFR and CTP increased the specificity to 0.72 and 0.77, respectively (p = 0.004 and p = 0.0009) resulting in higher point estimates for PPV 0.70 and 0.83, respectively. There was no improvement in the sensitivity. The CTP protocol involved more radiation (3.5 mSv CCTA vs 9.6 mSv CTP) and a higher volume of iodinated contrast (145 ml). In conclusion, CTP and CT-FFR improve the specificity of CCTA for detecting functionally significant stenosis as defined by invasive FFR on a per-patient level; both techniques could advance the ability to noninvasively detect the functional significance of coronary lesions.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26347004      PMCID: PMC4851492          DOI: 10.1016/j.amjcard.2015.07.078

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  39 in total

Review 1.  The worldwide environment of cardiovascular disease: prevalence, diagnosis, therapy, and policy issues: a report from the American College of Cardiology.

Authors:  Lawrence J Laslett; Peter Alagona; Bernard A Clark; Joseph P Drozda; Frances Saldivar; Sean R Wilson; Chris Poe; Menolly Hart
Journal:  J Am Coll Cardiol       Date:  2012-12-25       Impact factor: 24.094

2.  CAD detection in patients with intermediate-high pre-test probability: low-dose CT delayed enhancement detects ischemic myocardial scar with moderate accuracy but does not improve performance of a stress-rest CT perfusion protocol.

Authors:  Nuno Bettencourt; Nuno Dias Ferreira; Daniel Leite; Mónica Carvalho; Wilson da Silva Ferreira; Andreas Schuster; Amedeo Chiribiri; Adelino Leite-Moreira; José Silva-Cardoso; Eike Nagel; Vasco Gama
Journal:  JACC Cardiovasc Imaging       Date:  2013-09-04

3.  Diagnosis of ischemia-causing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) study.

Authors:  Bon-Kwon Koo; Andrejs Erglis; Joon-Hyung Doh; David V Daniels; Sanda Jegere; Hyo-Soo Kim; Allison Dunning; Tony DeFrance; Alexandra Lansky; Jonathan Leipsic; James K Min
Journal:  J Am Coll Cardiol       Date:  2011-11-01       Impact factor: 24.094

4.  Transluminal attenuation gradient in coronary computed tomography angiography is a novel noninvasive approach to the identification of functionally significant coronary artery stenosis: a comparison with fractional flow reserve.

Authors:  Dennis T L Wong; Brian S Ko; James D Cameron; Nitesh Nerlekar; Michael C H Leung; Yuvaraj Malaiapan; Marcus Crossett; Darryl P Leong; Stephen G Worthley; John Troupis; Ian T Meredith; Sujith K Seneviratne
Journal:  J Am Coll Cardiol       Date:  2013-02-13       Impact factor: 24.094

5.  Combined CT coronary angiography and stress myocardial perfusion imaging for hemodynamically significant stenoses in patients with suspected coronary artery disease: a comparison with fractional flow reserve.

Authors:  Brian S Ko; James D Cameron; Michael Leung; Ian T Meredith; Darryl P Leong; Paul R Antonis; Marcus Crossett; John Troupis; Richard Harper; Yuvaraj Malaiapan; Sujith K Seneviratne
Journal:  JACC Cardiovasc Imaging       Date:  2012-11

6.  CT stress perfusion imaging for detection of haemodynamically relevant coronary stenosis as defined by FFR.

Authors:  Martin Greif; Franz von Ziegler; Fabian Bamberg; Janine Tittus; Florian Schwarz; Melvin D'Anastasi; Roy P Marcus; Jan Schenzle; Christoph Becker; Konstantin Nikolaou; Alexander Becker
Journal:  Heart       Date:  2013-05-14       Impact factor: 5.994

7.  Prospective, head-to-head comparison of quantitative coronary angiography, quantitative computed tomography angiography, and intravascular ultrasound for the prediction of hemodynamic significance in intermediate and severe lesions, using fractional flow reserve as reference standard (from the ATLANTA I and II Study).

Authors:  Szilard Voros; Sarah Rinehart; Jesus G Vazquez-Figueroa; Anna Kalynych; Dimitri Karmpaliotis; Zhen Qian; Parag H Joshi; Hunt Anderson; Laura Murrieta; Charles Wilmer; Harold Carlson; William Ballard; Charles Brown
Journal:  Am J Cardiol       Date:  2013-10-02       Impact factor: 2.778

8.  Correlation between coronary computed tomographic angiography and fractional flow reserve.

Authors:  Thomas Skaarup Kristensen; Thomas Engstrøm; Henning Kelbæk; Peter von der Recke; Michael Bachmann Nielsen; Klaus Fuglsang Kofoed
Journal:  Int J Cardiol       Date:  2009-05-09       Impact factor: 4.164

9.  Diagnostic accuracy of fractional flow reserve from anatomic CT angiography.

Authors:  James K Min; Jonathon Leipsic; Michael J Pencina; Daniel S Berman; Bon-Kwon Koo; Carlos van Mieghem; Andrejs Erglis; Fay Y Lin; Allison M Dunning; Patricia Apruzzese; Matthew J Budoff; Jason H Cole; Farouc A Jaffer; Martin B Leon; Jennifer Malpeso; G B John Mancini; Seung-Jung Park; Robert S Schwartz; Leslee J Shaw; Laura Mauri
Journal:  JAMA       Date:  2012-09-26       Impact factor: 56.272

10.  Diagnostic performance of hyperaemic myocardial blood flow index obtained by dynamic computed tomography: does it predict functionally significant coronary lesions?

Authors:  Alexia Rossi; Anoeshka Dharampal; Andrew Wragg; L Ceri Davies; Robert Jan van Geuns; Costantinos Anagnostopoulos; Ernst Klotz; Pieter Kitslaar; Alexander Broersen; Anthony Mathur; Koen Nieman; M G Myriam Hunink; Pim J de Feyter; Steffen E Petersen; Francesca Pugliese
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2013-08-09       Impact factor: 6.875

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  28 in total

1.  Hybrid anatomo-functional imaging of coronary artery disease: Beneficial irrespective of its core components.

Authors:  Francesco Nudi; Giuseppe Biondi-Zoccai; Andrea Romagnoli; Orazio Schillaci; Alessandro Nudi; Francesco Versaci
Journal:  J Nucl Cardiol       Date:  2018-12-18       Impact factor: 5.952

2.  Additional diagnostic value of new CT imaging techniques for the functional assessment of coronary artery disease: a meta-analysis.

Authors:  Michèle Hamon; Damien Geindreau; Lydia Guittet; Christophe Bauters; Martial Hamon
Journal:  Eur Radiol       Date:  2019-01-07       Impact factor: 5.315

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.  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

5.  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

Review 6.  A new look at the heart-novel imaging techniques.

Authors:  C M Johnston; A J Krafft; M F Russe; E A Rog-Zielinska
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2017-12-14

7.  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

8.  Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in ischemia-causing coronary stenosis: a meta-analysis.

Authors:  Aimin Ding; Guoqing Qiu; Wensheng Lin; Ling Hu; Guangliang Lu; Xiang Long; Xin Hong; Yaohua Chen; Xiaoping Luo; Qinqin Tang; Dongqin Deng
Journal:  Jpn J Radiol       Date:  2016-10-28       Impact factor: 2.374

Review 9.  Myocardial ischemia testing with computed tomography: emerging strategies.

Authors:  Prabhakar Rajiah; Christopher D Maroules
Journal:  Cardiovasc Diagn Ther       Date:  2017-10

Review 10.  The value of noninvasive computed tomography derived fractional flow reserve in our current approach to the evaluation of coronary artery stenosis.

Authors:  Edward Hulten; Ron Blankstein; Marcelo F Di Carli
Journal:  Curr Opin Cardiol       Date:  2016-11       Impact factor: 2.161

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