Literature DB >> 21185504

High-resolution magnetic resonance myocardial perfusion imaging at 3.0-Tesla to detect hemodynamically significant coronary stenoses as determined by fractional flow reserve.

Timothy Lockie1, Masaki Ishida, Divaka Perera, Amedeo Chiribiri, Kalpa De Silva, Sebastian Kozerke, Mike Marber, Eike Nagel, Reza Rezavi, Simon Redwood, Sven Plein.   

Abstract

OBJECTIVES: The objective of this study was to compare visual and quantitative analysis of high spatial resolution cardiac magnetic resonance (CMR) perfusion at 3.0-T against invasively determined fractional flow reserve (FFR).
BACKGROUND: High spatial resolution CMR myocardial perfusion imaging for the detection of coronary artery disease (CAD) has recently been proposed but requires further clinical validation.
METHODS: Forty-two patients (33 men, age 57.4 ± 9.6 years) with known or suspected CAD underwent rest and adenosine-stress k-space and time sensitivity encoding accelerated perfusion CMR at 3.0-T achieving in-plane spatial resolution of 1.2 × 1.2 mm(2). The FFR was measured in all vessels with >50% severity stenosis. Fractional flow reserve <0.75 was considered hemodynamically significant. Two blinded observers visually interpreted the CMR data. Separately, myocardial perfusion reserve (MPR) was estimated using Fermi-constrained deconvolution.
RESULTS: Of 126 coronary vessels, 52 underwent pressure wire assessment. Of these, 27 lesions had an FFR <0.75. Sensitivity and specificity of visual CMR analysis to detect stenoses at a threshold of FFR <0.75 were 0.82 and 0.94 (p < 0.0001), respectively, with an area under the receiver-operator characteristic curve of 0.92 (p < 0.0001). From quantitative analysis, the optimum MPR to detect such lesions was 1.58, with a sensitivity of 0.80, specificity of 0.89 (p < 0.0001), and area under the curve of 0.89 (p < 0.0001).
CONCLUSIONS: High-resolution CMR MPR at 3.0-T can be used to detect flow-limiting CAD as defined by FFR, using both visual and quantitative analyses.
Copyright © 2011 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21185504     DOI: 10.1016/j.jacc.2010.09.019

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  75 in total

Review 1.  Reasons and implications of agreements and disagreements between coronary flow reserve, fractional flow reserve, and myocardial perfusion imaging.

Authors:  Manish Motwani; Mahsaw Motlagh; Anuj Gupta; Daniel S Berman; Piotr J Slomka
Journal:  J Nucl Cardiol       Date:  2015-12-29       Impact factor: 5.952

Review 2.  Assessment of myocardial ischemia with cardiovascular magnetic resonance.

Authors:  Bobak Heydari; Michael Jerosch-Herold; Raymond Y Kwong
Journal:  Prog Cardiovasc Dis       Date:  2011 Nov-Dec       Impact factor: 8.194

3.  Revisiting the Optimal Fractional Flow Reserve and Instantaneous Wave-Free Ratio Thresholds for Predicting the Physiological Significance of Coronary Artery Disease.

Authors:  Bhavik N Modi; Haseeb Rahman; Thomas Kaier; Matthew Ryan; Rupert Williams; Natalia Briceno; Howard Ellis; Antonis Pavlidis; Simon Redwood; Brian Clapp; Divaka Perera
Journal:  Circ Cardiovasc Interv       Date:  2018-12       Impact factor: 6.546

4.  Accelerated, high spatial resolution cardiovascular magnetic resonance myocardial perfusion imaging.

Authors:  Manish Motwani; Timothy Lockie; John P Greenwood; Sven Plein
Journal:  J Nucl Cardiol       Date:  2011-10       Impact factor: 5.952

Review 5.  Three-dimensional contrast-enhanced and non-contrast-enhanced cardiac magnetic resonance imaging for the assessment of myocardial ischemic reactions: the practice of looking deeply into the myocardium.

Authors:  Cosima Jahnke; Sebastian Kozerke; Bernhard Schnackenburg; Nikolaus Marx; Ingo Paetsch
Journal:  J Nucl Cardiol       Date:  2011-10       Impact factor: 5.952

6.  Myocardial perfusion reserve and global longitudinal strain as potential markers of coronary allograft vasculopathy in late-stage orthotopic heart transplantation.

Authors:  Akhil Narang; John E Blair; Mita B Patel; Victor Mor-Avi; Savitri E Fedson; Nir Uriel; Roberto M Lang; Amit R Patel
Journal:  Int J Cardiovasc Imaging       Date:  2018-05-04       Impact factor: 2.357

7.  Diagnostic accuracy of stress perfusion CMR in comparison with quantitative coronary angiography: fully quantitative, semiquantitative, and qualitative assessment.

Authors:  Federico E Mordini; Tariq Haddad; Li-Yueh Hsu; Peter Kellman; Tracy B Lowrey; Anthony H Aletras; W Patricia Bandettini; Andrew E Arai
Journal:  JACC Cardiovasc Imaging       Date:  2014-01

8.  Integrated cardiac magnetic resonance imaging with coronary magnetic resonance angiography, stress-perfusion, and delayed-enhancement imaging for the detection of occult coronary artery disease in asymptomatic individuals.

Authors:  Kyoung Doo Song; Sung Mok Kim; Yeon Hyeon Choe; Wooin Jung; Sang-Chol Lee; Sung-A Chang; Yoon Ho Choi; Jidong Sung
Journal:  Int J Cardiovasc Imaging       Date:  2015-04-28       Impact factor: 2.357

9.  Assessment of coronary artery stenosis severity and location: quantitative analysis of transmural perfusion gradients by high-resolution MRI versus FFR.

Authors:  Amedeo Chiribiri; Gilion L T F Hautvast; Timothy Lockie; Andreas Schuster; Boris Bigalke; Luca Olivotti; Simon R Redwood; Marcel Breeuwer; Sven Plein; Eike Nagel
Journal:  JACC Cardiovasc Imaging       Date:  2013-04-10

10.  Enhanced A2A adenosine receptor-mediated increase in coronary flow in type I diabetic mice.

Authors:  Hicham Labazi; Bunyen Teng; Zhichao Zhou; S Jamal Mustafa
Journal:  J Mol Cell Cardiol       Date:  2015-12-02       Impact factor: 5.000

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