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Prognostic implications of cardiac magnetic resonance feature tracking derived multidirectional strain in patients with chronic aortic regurgitation

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Abstract

Objective

Speckle-tracking echocardiography (STE) deformation parameters detect latent LV dysfunction in chronic aortic regurgitation (AR) and are associated with outcomes. The aim of the study was to evaluate cardiac magnetic resonance (CMR) feature tracking (FT) deformation parameters in asymptomatic patients with AR and implications in outcomes.

Methods

Fifty-five patients with AR and 54 controls were included. Conventional functional CMR parameters, aortic regurgitant volume, and fraction were assessed. CMR-FT analysis was performed with a dedicated software. Clinical data was obtained from hospital records. A combined endpoint included all-cause mortality, cardiovascular mortality, aortic valve surgery, or cardiovascular hospital admission due to heart failure.

Results

Left ventricular (LV) mechanics is impaired in patients with significant AR. Significant differences were noted in global longitudinal strain (GLS) between controls and AR patients (− 19.1 ± 2.9% vs − 16.5 ± 3.2%, p < 0.001) and among AR severity groups (− 18.3 ± 3.1% vs − 16.2 ± 1.6% vs − 15 ± 3.5%; p = 0.02 for AR grades I–II, III, and IV). In univariate and multivariate analyses, circumferential strain (GCS) and global radial strain (GRS) but not GLS were associated with and increased risk of the end point with a HR of 1.26 (p = 0.016, 1.04–1.52) per 1% worsening for GCS and 0.90 (p = 0.012, 0.83–0.98) per 1% worsening for GRS.

Conclusions

CMR-FT myocardial deformation parameters are impaired in patients with AR not meeting surgical criteria. GLS decreases early in the course of the disease and is a marker of AR severity while GCS and GRS worsen later but predict a bad prognosis, mainly the need of aortic valve surgery.

Key Points

• CMR feature tracking LV mechanic parameters may be reduced in significant chronic AR with normal EF.

• LV mechanics, mainly global longitudinal strain, worsens as AR severity increases.

• LV mechanics, specially global radial and circumferential strain, is associated with a worse prognosis in AR patients.

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Abbreviations

AR:

Aortic regurgitation

CMR:

Cardiac magnetic resonance

CMR-FT:

Cardiac magnetic resonance feature tracking

GCS:

Global circumferential strain

GLS:

Global longitudinal strain

GRS:

Global radial strain

LV:

Left ventricle

RF:

Regurgitant fraction

RV:

Regurgitant volume

STE:

Speckle-tracking echocardiography

References

  1. Dujardin KS, Enriquez-Sarano M, Schaff HV, Bailey KR, Seward JB, Tajik AJ (1999) Mortality and morbidity of aortic regurgitation in clinical practice: a long-term follow- up study. Circulation 99:1851–1857

    Article  CAS  Google Scholar 

  2. Baumgartner H, Falk V, Bax JJ et al (2017) ESC Scientific Document Group. 2017 ESC/EACTS guidelines for the management of valvular heart disease. Eur Heart J 38:2739–2791

    Article  Google Scholar 

  3. Nishimura RA, Otto CM, Bonow RO et al (2014) 2014 AHA/ACC guideline for the management of patients with valvular heart disease: executive summary: a report of the American College of Cardiology/ American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol 63:2438–2488

    Article  Google Scholar 

  4. Bonow RO, Dodd JT, Maron BJ et al (1988) Long-term serial changes in left ventricular function and reversal of ventricular dilatation after valve replacement for chronic aortic regurgitation. Circulation 78:1108–1120

    Article  CAS  Google Scholar 

  5. Pedrizzetti G, Claus P, Kilner PJ, Nagel E (2016) Principles of cardiovascular magnetic resonance feature tracking and echocardiographic speckle tracking for informed clinical use. J Cardiovasc Magn Reson 18:51

    Article  Google Scholar 

  6. Ewe SH, Haeck ML, Ng AC et al (2015) Detection of subtle left ventricular systolic dysfunction in patients with significant aortic regurgitation and preserved left ventricular ejection fraction: speckle tracking echocardiographic analysis. Eur Heart J Cardiovasc Imaging 16:992–999

    PubMed  Google Scholar 

  7. Smedsrud MK, Pettersen E, Gjesdal O et al (2011) Detection of left ventricular dysfunction by global longitudinal systolic strain in patients with chronic aortic regurgitation. J Am Soc Echocardiogr 24:1253–1259

    Article  Google Scholar 

  8. Mizariene V, Grybauskiene R, Vaskelyte J, Jonkaitiene R, Pavilioniene J, Jurkevicius R (2011) Strain value in the assessment of left ventricular function and prediction of heart failure markers in aortic regurgitation. Echocardiography 28:983–992

    Article  Google Scholar 

  9. Olsen NT, Sogaard P, Larsson HBW et al (2011) Speckle-tracking echo- cardiography for predicting outcome in chronic aortic regurgitation during conservative management and after surgery. JACC Cardiovasc Imaging 4:223–230

    Article  Google Scholar 

  10. Alashi A, Mentias A, Abdallah A et al (2018) Incremental prognostic utility of left ventricular global longitudinal strain in asymptomatic patients with significant chronic aortic regurgitation and preserved left ventricular ejection fraction. J Am Coll Cardiol Img 11:673–682

    Article  Google Scholar 

  11. Lee JC, Branch KR, Hamilton-Craig C, Krieger EV (2018) Evaluation of aortic regurgitation with cardiac magnetic resonance imaging: a systematic review. Heart 104:103–110

    Article  Google Scholar 

  12. Schuster A, Hor KN, Kowallick JT, Beerbaum P, Kutty S (2016) Cardiovascular magnetic resonance myocardial feature tracking: concepts and clinical applications. Circ Cardiovasc Imaging 9:e004077. https://doi.org/10.1161/CIRCIMAGING.115.004077

    Article  PubMed  Google Scholar 

  13. Buss SJ, Breuninger K, Lehrke S et al (2015) Assessment of myocardial deformation with cardiac magnetic resonance strain imaging improves risk stratification in patients with dilated cardiomyopathy. Eur Heart J Cardiovasc Imaging 16:307–315

    Article  Google Scholar 

  14. Heermann P, Hedderich DM, Paul M et al (2014) Biventricular myocardial strain analysis in patients with arrhythmogenic right ventricular cardiomyopathy (ARVC) using cardiovascular magnetic resonance feature tracking. J Cardiovasc Magn Reson 16:75. https://doi.org/10.1186/s12968-014-0075-z

    Article  PubMed  Google Scholar 

  15. Hinojar R, Fernández-Golfín C, González-Gómez A et al (2017) Prognostic implications of global myocardial mechanics in hypertrophic cardiomyopathy by cardiovascular magnetic resonance feature tracking. Relations to left ventricular hypertrophy and fibrosis. Int J Cardiol 249:467–472

    Article  Google Scholar 

  16. Lancellotti P, Tribouilloy C, Hagendorff A et al (2013) Scientific Document Committee of the European Association of Cardiovascular Imaging. Recommendations for the echocardiographic assessment of native valvular regurgitation: an executive summary from the European Association of Cardiovascular Imaging. Eur Heart J Cardiovasc Imaging 14:611–644

    Article  Google Scholar 

  17. Hudsmith LE, Petersen SE, Francis JM, Robson MD, Neubauer S (2015) Normal human left and right ventricular and left atrial dimensions using steady state free precession magnetic resonance imaging. J Cardiovasc Magn Reson 7:775–782

    Article  Google Scholar 

  18. Kramer CM, Barkhausen J, Flamm SD, Kim RJ, Nagel E (2013) Society for Cardiovascular Magnetic Resonance Board of Trustees Task Force on Standardized Protocols. Standardized cardiovascular magnetic resonance (CMR) protocols 2013 update. J Cardiovasc Magn Reson 15:91. https://doi.org/10.1186/1532-429X-15-91

    Article  PubMed  Google Scholar 

  19. Schulz-Menger J, Bluemke DA, Bremerich J et al (2013) Standardized image interpretation and post processing in cardiovascular magnetic resonance: Society for Cardiovascular Magnetic Resonance (SCMR) board of trustees task force on standardized post processing. J Cardiovasc Magn Reson 15:35. https://doi.org/10.1186/1532-429X-15-35

    Article  PubMed  Google Scholar 

  20. Gabriel RS, Renapurkar R, Bolen MA et al (2011) Comparison of severity of aortic regurgitation by cardiovascular magnetic resonance versus transthoracic echocardiography. Am J Cardiol 108:1014–1020

    Article  Google Scholar 

  21. von Knobelsdorff-Brenkenhoff F, Schunke T, Reiter S, Scheck R, Höfling B, Pilz G (2020, 2020) Influence of contrast agent and spatial resolution on myocardial strain results using feature tracking MRI. Eur Radiol. https://doi.org/10.1007/s00330-020-06971-x

  22. Dobrovie M, Barreiro-Pérez M, Curione D et al (2019) Inter-vendor reproducibility and accuracy of segmental left ventricular strain measurements using CMR feature tracking. Eur Radiol 29:6846–6857

    Article  Google Scholar 

  23. Maceira AM, Tuset-Sanchis L, López-Garrido M et al (2018) Feasibility and reproducibility of feature-tracking-based strain and strain rate measures of the left ventricle in different diseases and genders. J Magn Reson Imaging 47:1415–1425. https://doi.org/10.1002/jmri.25894

    Article  PubMed  Google Scholar 

  24. Andre F, Steen H, Matheis P et al (2015) Age- and gender-related normal left ventricular de-formation assessed by cardiovascular magnetic resonance feature tracking. J Cardiovasc Magn Reson 17:25. https://doi.org/10.1186/s12968- 015-0123-3

  25. Hwang J, Kim SM, Park SJ et al (2017) Assessment of reverse remodeling predicted by myocardial deformation on tissue tracking in patients with severe aortic stenosis: a cardiovascular magnetic resonance imaging study. J Cardiovasc Magn Reson 19(1):80. https://doi.org/10.1186/s12968-017-0392-0

    Article  PubMed  Google Scholar 

  26. Myerson SG, d’Arcy J, Mohiaddin R et al (2012) Aortic regurgitation quantification using cardiovascular magnetic resonance association with clinical outcome. Circulation 126:1452–1460

    Article  Google Scholar 

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Funding

The authors state that this work has not received any funding.

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Correspondence to Covadonga Fernández-Golfín.

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Guarantor

The scientific guarantor of this publication is Covadonga Fernández-Golfín.

Conflict of interest

The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Statistics and biometry

One of the authors has significant statistical expertise.

Informed consent

Written informed consent was obtained from all subjects (patients) in this study.

Ethical approval

Institutional Review Board approval was obtained.

Study subjects or cohorts overlap

Some study subjects or cohorts have been previously reported: Hinojar R, Fernández-Golfín C, González-Gómez A et al. Prognostic implications of global myocardial mechanics in hypertrophic cardiomyopathy by cardiovascular magnetic resonance feature tracking. Relations to left ventricular hypertrophy and fibrosis. Int J Cardiol. 2017: 249: 467-72.

Methodology

• retrospective

• diagnostic or prognostic study/observational

• performed at one institution

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Fernández-Golfín, C., Hinojar-Baydes, R., González-Gómez, A. et al. Prognostic implications of cardiac magnetic resonance feature tracking derived multidirectional strain in patients with chronic aortic regurgitation. Eur Radiol 31, 5106–5115 (2021). https://doi.org/10.1007/s00330-020-07651-6

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  • DOI: https://doi.org/10.1007/s00330-020-07651-6

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