Quantification of left atrial strain and strain rate using Cardiovascular Magnetic Resonance myocardial feature tracking: a feasibility study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-08-12

AUTHORS

Johannes Tammo Kowallick, Shelby Kutty, Frank Edelmann, Amedeo Chiribiri, Adriana Villa, Michael Steinmetz, Jan Martin Sohns, Wieland Staab, Nuno Bettencourt, Christina Unterberg-Buchwald, Gerd Hasenfuß, Joachim Lotz, Andreas Schuster

ABSTRACT

BackgroundCardiovascular Magnetic Resonance myocardial feature tracking (CMR-FT) is a quantitative technique tracking tissue voxel motion on standard steady-state free precession (SSFP) cine images to assess ventricular myocardial deformation. The importance of left atrial (LA) deformation assessment is increasingly recognized and can be assessed with echocardiographic speckle tracking. However atrial deformation quantification has never previously been demonstrated with CMR. We sought to determine the feasibility and reproducibility of CMR-FT for quantitative derivation of LA strain and strain rate (SR) myocardial mechanics.Methods10 healthy volunteers, 10 patients with hypertrophic cardiomyopathy (HCM) and 10 patients with heart failure and preserved ejection fraction (HFpEF) were studied at 1.5 Tesla. LA longitudinal strain and SR parameters were derived from SSFP cine images using dedicated CMR-FT software (2D CPA MR, TomTec, Germany). LA performance was analyzed using 4- and 2-chamber views including LA reservoir function (total strain [εs], peak positive SR [SRs]), LA conduit function (passive strain [εe], peak early negative SR [SRe]) and LA booster pump function (active strain [εa], late peak negative SR [SRa]).ResultsIn all subjects LA strain and SR parameters could be derived from SSFP images. There was impaired LA reservoir function in HCM and HFpEF (εs [%]: HCM 22.1 ± 5.5, HFpEF 16.3 ± 5.8, Controls 29.1 ± 5.3, p < 0.01; SRs [s-1]: HCM 0.9 ± 0.2, HFpEF 0.8 ± 0.3, Controls 1.1 ± 0.2, p < 0.05) and impaired LA conduit function as compared to healthy controls (εe [%]: HCM 10.4 ± 3.9, HFpEF 11.9 ± 4.0, Controls 21.3 ± 5.1, p < 0.001; SRe [s-1]: HCM -0.5 ± 0.2, HFpEF -0.6 ± 0.1, Controls -1.0 ± 0.3, p < 0.01). LA booster pump function was increased in HCM while decreased in HFpEF (εa [%]: HCM 11.7 ± 4.0, HFpEF 4.5 ± 2.9, Controls 7.8 ± 2.5, p < 0.01; SRa [s-1]: HCM -1.2 ± 0.4, HFpEF -0.5 ± 0.2, Controls -0.9 ± 0.3, p < 0.01). Observer variability was excellent for all strain and SR parameters on an intra- and inter-observer level as determined by Bland-Altman, coefficient of variation and intraclass correlation coefficient analyses.ConclusionsCMR-FT based atrial performance analysis reliably quantifies LA longitudinal strain and SR from standard SSFP cine images and discriminates between patients with impaired left ventricular relaxation and healthy controls. CMR-FT derived atrial deformation quantification seems a promising novel approach for the study of atrial performance and physiology in health and disease states. More... »

PAGES

60

References to SciGraph publications

  • 2014-01-22. Feature tracking compared with tissue tagging measurements of segmental strain by cardiovascular magnetic resonance in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2014-01-09. Feasibility of asymmetric stretch assessment in the ascending aortic wall with DENSE cardiovascular magnetic resonance in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2013-10-17. Feature tracking measurement of dyssynchrony from cardiovascular magnetic resonance cine acquisitions: comparison with echocardiographic speckle tracking in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2010-01-08. Quantification in cardiac MRI: advances in image acquisition and processing in THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
  • 2007-05-31. An integrated approach to determine left atrial volume, mass and function in hypertrophic cardiomyopathy by two-dimensional echocardiography in THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
  • 2011-08-15. Strong cardiovascular prognostic implication of quantitative left atrial contractile function assessed by cardiac magnetic resonance imaging in patients with chronic hypertension in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2011-10-12. Cardiovascular magnetic resonance myocardial feature tracking detects quantitative wall motion during dobutamine stress in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2009-02-08. Feasibility and reference values of left atrial longitudinal strain imaging by two-dimensional speckle tracking in CARDIOVASCULAR ULTRASOUND
  • 2012-06-21. Inter-study reproducibility of cardiovascular magnetic resonance myocardial feature tracking in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12968-014-0060-6

    DOI

    http://dx.doi.org/10.1186/s12968-014-0060-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1034532292

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/25196447


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