Literature DB >> 26718319

Is cardiac magnetic resonance imaging as accurate as echocardiography in the assessment of aortic valve stenosis?

Sophia Wong1, Roberto Spina2, Sianne Toemoe3, Kumud Dhital4.   

Abstract

A best evidence topic was written according to a structured protocol. The question addressed was: is cardiac magnetic resonance (CMR) imaging as accurate as echocardiography in the assessment of aortic valve stenosis? Altogether 239 papers were found using the reported search. Only 12 demonstrated the best evidence to answer the clinical question. Nine of these 12 papers found CMR to correlate well with transthoracic echocardiography (TTE) or transoesophageal echocardiography (TOE) in the evaluation of aortic valve stenosis. When aortic valve areas were measured with cardiac tomography (CT) or cardiac catheterization (CC), four papers found CMR to be more accurate than TTE. Eight of 12 papers found CMR to have excellent reliability and reproducibility, as demonstrated by the low inter- and intraobserver variability. Four papers did not estimate intra- or interobserver variability. One paper noted a sensitivity and specificity of 96 and 100%, respectively, when using CMR to detect severe aortic stenosis (AS) that had been diagnosed during CC. A second paper noted a lower sensitivity and specificity of 78 and 89%, respectively, but this was still better than the sensitivities and specificities found when using TOE or TTE to detect severe AS, as noted on CC. We conclude that current evidence finds echocardiography and CMR to be equally reliable in assessing aortic stenosis. CMR has better inter- and intraobserver reliability and demonstrates an advantage over echocardiography in the detection of severe AS with greater specificity and sensitivity. The final choice, however, is as likely to be influenced by the availability of magnetic resonance imaging and expertise in interpreting the results as by accuracy and reliability.
© The Author 2015. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

Entities:  

Keywords:  Aortic stenosis; Aortic valve; Cardiac magnetic resonance imaging; Transoesophageal echocardiography; Transthoracic echocardiography; Valvular disease

Mesh:

Year:  2015        PMID: 26718319     DOI: 10.1093/icvts/ivv362

Source DB:  PubMed          Journal:  Interact Cardiovasc Thorac Surg        ISSN: 1569-9285


  5 in total

1.  Phase-Contrast Magnetic Resonance Quantification of Aortic Regurgitation in Patients With Turbulent Aortic Flow.

Authors:  Elizabeth Lee; Blair Richards; Jimmy C Lu; Maryam Ghadimi Mahani; Adam L Dorfman; Sowmya Balasubramanian; Prachi P Agarwal
Journal:  J Comput Assist Tomogr       Date:  2019 Mar/Apr       Impact factor: 1.826

2.  Cardiovascular magnetic resonance as a reliable alternative to cardiovascular computed tomography and transesophageal echocardiography for aortic annulus valve sizing.

Authors:  Riccardo Faletti; Marco Gatti; Stefano Salizzoni; Laura Bergamasco; Rodolfo Bonamini; Domenica Garabello; Walter Grosso Marra; Michele La Torre; Mara Morello; Simona Veglia; Paolo Fonio; Mauro Rinaldi
Journal:  Int J Cardiovasc Imaging       Date:  2016-04-27       Impact factor: 2.357

3.  Multiparametric MRI identifies subtle adaptations for demarcation of disease transition in murine aortic valve stenosis.

Authors:  Christine Quast; Frank Kober; Katrin Becker; Elric Zweck; Jasmina Hoffe; Christoph Jacoby; Vera Flocke; Isabella Gyamfi-Poku; Fabian Keyser; Kerstin Piayda; Ralf Erkens; Sven Niepmann; Matti Adam; Stephan Baldus; Sebastian Zimmer; Georg Nickenig; Maria Grandoch; Florian Bönner; Malte Kelm; Ulrich Flögel
Journal:  Basic Res Cardiol       Date:  2022-05-29       Impact factor: 12.416

4.  Accuracy of cardiac magnetic resonance generated 3D models of the aortic annulus compared to cardiovascular computed tomography generated 3D models.

Authors:  Marco Gatti; Aurelio Cosentino; Erik Cura Stura; Laura Bergamasco; Domenica Garabello; Giovanni Pennisi; Mattia Puppo; Stefano Salizzoni; Simona Veglia; Ottavio Davini; Mauro Rinaldi; Paolo Fonio; Riccardo Faletti
Journal:  Int J Cardiovasc Imaging       Date:  2020-05-30       Impact factor: 2.357

5.  A novel approach to determine aortic valve area with phase-contrast cardiovascular magnetic resonance.

Authors:  Felix Troger; Ivan Lechner; Martin Reindl; Christina Tiller; Magdalena Holzknecht; Mathias Pamminger; Christian Kremser; Johannes Schwaiger; Sebastian J Reinstadler; Axel Bauer; Bernhard Metzler; Agnes Mayr; Gert Klug
Journal:  J Cardiovasc Magn Reson       Date:  2022-01-06       Impact factor: 5.364

  5 in total

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