Literature DB >> 27100527

Incremental value of cardiac deformation analysis in acute myocarditis: a cardiovascular magnetic resonance imaging study.

Florian André1, Florian T Stock1, Johannes Riffel1, Evangelos Giannitsis1, Henning Steen1, Jürgen Scharhag2, Hugo A Katus1, Sebastian J Buss3.   

Abstract

The aim of this study was to assess cardiac deformation patterns in myocarditis applying feature tracking imaging (FTI) to cardiovascular magnetic resonance (CMR) images. Thirty-six patients (31 males) with acute myocarditis and 36 age- and gender-matched healthy volunteers were studied. CMR examinations were performed in a 1.5 T MR-scanner including late gadolinium enhancement (LGE). FTI was applied to standard cine images of long and short axis views. Global peak circumferential, longitudinal and radial systolic strains as well as long axis strain (LAS) were measured. Patients showed significantly impaired global peak circumferential (-24.4 ± 4.2 % vs. -28.8 ± 3.8 %, p < 0.0001), longitudinal (-17.6 ± 4.4 % vs. -23.8 ± 3.1 %, p < 0.0001) and radial (26.1 ± 5.4 % vs. 37.9 ± 7.6 %, p < 0.0001) systolic strains. Even patients with a preserved ejection fraction (pEF, ≥55 %) had significantly reduced longitudinal (-20.0 ± 4.8 % vs. -23.8 ± 3.1 %, p < 0.01) and radial (27.7 ± 5.5 % vs. 37.9 ± 7.6 %, p < 0.0001) strains. The extent of LGE in patients did not correlate to their respective strains. Regarding the differentiation between patients and controls, the addition of global peak systolic strains to ejection fraction led to a significant improvement of the logistic regression model (χ(2) 48.7 vs. 71.5; p < 0.001) resulting in a high AUC of 0.98. Applying previously published reference values, 75 % or 31 % of patients with pEF showed at least one strain value or a LAS, which fell below the limit of 1 or respectively 2 standard deviations from the reference mean value. Cardiac strains measured by CMR-FTI are significantly impaired in patients with acute myocarditis even in those with pEF. Therefore, strain assessment may improve the diagnostic accuracy of CMR for myocarditis.

Entities:  

Keywords:  Cardiovascular magnetic resonance; Feature tracking; Myocarditis; Strain

Mesh:

Substances:

Year:  2016        PMID: 27100527     DOI: 10.1007/s10554-016-0878-0

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  29 in total

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3.  Simplified calculation of body-surface area.

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Journal:  J Am Coll Cardiol       Date:  2009-08-11       Impact factor: 24.094

5.  Comparison of magnetic resonance feature tracking for strain calculation with harmonic phase imaging analysis.

Authors:  Kan N Hor; William M Gottliebson; Christopher Carson; Erin Wash; James Cnota; Robert Fleck; Janaka Wansapura; Piotr Klimeczek; Hussein R Al-Khalidi; Eugene S Chung; D Woodrow Benson; Wojciech Mazur
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8.  The intra-observer reproducibility of cardiovascular magnetic resonance myocardial feature tracking strain assessment is independent of field strength.

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Authors:  Jeanette Schulz-Menger; David A Bluemke; Jens Bremerich; Scott D Flamm; Mark A Fogel; Matthias G Friedrich; Raymond J Kim; Florian von Knobelsdorff-Brenkenhoff; Christopher M Kramer; Dudley J Pennell; Sven Plein; Eike Nagel
Journal:  J Cardiovasc Magn Reson       Date:  2013-05-01       Impact factor: 5.364

10.  Global and regional left ventricular myocardial deformation measures by magnetic resonance feature tracking in healthy volunteers: comparison with tagging and relevance of gender.

Authors:  Daniel Augustine; Adam J Lewandowski; Merzaka Lazdam; Aitzaz Rai; Jane Francis; Saul Myerson; Alison Noble; Harald Becher; Stefan Neubauer; Steffen E Petersen; Paul Leeson
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  11 in total

1.  Diagnostic role of strain imaging in atypical myocarditis by echocardiography and cardiac MRI.

Authors:  Bethany L Wisotzkey; Brian D Soriano; Erin L Albers; Mark Ferguson; Sujatha Buddhe
Journal:  Pediatr Radiol       Date:  2018-04-13

2.  Feature-tracking myocardial strain analysis in acute myocarditis: diagnostic value and association with myocardial oedema.

Authors:  Julian A Luetkens; Ulrike Schlesinger-Irsch; Daniel L Kuetting; Darius Dabir; Rami Homsi; Jonas Doerner; Frederic C Schmeel; Rolf Fimmers; Alois M Sprinkart; Claas P Naehle; Hans H Schild; Daniel Thomas
Journal:  Eur Radiol       Date:  2017-05-12       Impact factor: 5.315

3.  Performance of cardiovascular magnetic resonance strain in patients with acute myocarditis.

Authors:  Xiaorong Chen; Hongjie Hu; Jiangfeng Pan; Jiner Shu; Yi Hu; Risheng Yu
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4.  Diagnostic and prognostic value of cardiac magnetic resonance in acute myocarditis: a systematic review and meta-analysis.

Authors:  Sarah Blissett; Yehuda Chocron; Bojan Kovacina; Jonathan Afilalo
Journal:  Int J Cardiovasc Imaging       Date:  2019-08-06       Impact factor: 2.357

5.  Tissue-tracking in the assessment of late gadolinium enhancement in myocarditis and myocardial infarction.

Authors:  Sara Doimo; Fabrizio Ricci; Nay Aung; Jackie Cooper; Redha Boubertakh; Mihir M Sanghvi; Gianfranco Sinagra; Steffen E Petersen
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6.  Quantification of myocardial deformation in children by cardiovascular magnetic resonance feature tracking: determination of reference values for left ventricular strain and strain rate.

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7.  Cardiovascular imaging 2016 in the International Journal of Cardiovascular Imaging.

Authors:  Johan H C Reiber; Johan De Sutter; Paul Schoenhagen; Arthur E Stillman; Nico R L Vande Veire
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Review 8.  Current Understanding of the Pathophysiology of Myocardial Fibrosis and Its Quantitative Assessment in Heart Failure.

Authors:  Tong Liu; Deli Song; Jianzeng Dong; Pinghui Zhu; Jie Liu; Wei Liu; Xiaohai Ma; Lei Zhao; Shukuan Ling
Journal:  Front Physiol       Date:  2017-04-24       Impact factor: 4.566

9.  A novel multiparametric imaging approach to acute myocarditis using T2-mapping and CMR feature tracking.

Authors:  Bettina Baeßler; Melanie Treutlein; Frank Schaarschmidt; Christian Stehning; Bernhard Schnackenburg; Guido Michels; David Maintz; Alexander C Bunck
Journal:  J Cardiovasc Magn Reson       Date:  2017-09-21       Impact factor: 5.364

10.  Predictive Value of Cardiac Magnetic Resonance Imaging-Derived Myocardial Strain for Poor Outcomes in Patients with Acute Myocarditis.

Authors:  Ji Won Lee; Yeon Joo Jeong; Geewon Lee; Nam Kyung Lee; Hye Won Lee; Jin You Kim; Bum-Sung Choi; Ki Seok Choo
Journal:  Korean J Radiol       Date:  2017-05-19       Impact factor: 3.500

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