Literature DB >> 33449184

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

Covadonga Fernández-Golfín1,2, Rocío Hinojar-Baydes3, Ariana González-Gómez3, Juan Manuel Monteagudo3, Amparo Esteban4, Gonzalo Alonso-Salinas3, Maria Angeles Fernández4, Ana García-Martín3, Ciro Santoro3, Marina Pascual-Izco3, Jose Julio Jiménez-Nacher3, Jose Luis Zamorano3,5.   

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.

Entities:  

Keywords:  Aortic valve; Aortic valve insufficiency; Heart failure; Magnetic resonance; Software

Year:  2021        PMID: 33449184     DOI: 10.1007/s00330-020-07651-6

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  7 in total

1.  Detection of subtle left ventricular systolic dysfunction in patients with significant aortic regurgitation and preserved left ventricular ejection fraction: speckle tracking echocardiographic analysis.

Authors:  See Hooi Ewe; Marlieke L A Haeck; Arnold C T Ng; Tomasz G Witkowski; Dominique Auger; Darryl P Leong; Elena Abate; Nina Ajmone Marsan; Eduard R Holman; Martin J Schalij; Jeroen J Bax; Victoria Delgado
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2015-03-01       Impact factor: 6.875

Review 2.  Cardiovascular Magnetic Resonance Myocardial Feature Tracking: Concepts and Clinical Applications.

Authors:  Andreas Schuster; Kan N Hor; Johannes T Kowallick; Philipp Beerbaum; Shelby Kutty
Journal:  Circ Cardiovasc Imaging       Date:  2016-04       Impact factor: 7.792

3.  Feasibility and reproducibility of feature-tracking-based strain and strain rate measures of the left ventricle in different diseases and genders.

Authors:  Alicia M Maceira; Luis Tuset-Sanchis; Miguel López-Garrido; Marta San Andres; M Pilar López-Lereu; Jose V Monmeneu; M Pilar García-González; Laura Higueras
Journal:  J Magn Reson Imaging       Date:  2017-12-04       Impact factor: 4.813

4.  Biventricular myocardial strain analysis in patients with arrhythmogenic right ventricular cardiomyopathy (ARVC) using cardiovascular magnetic resonance feature tracking.

Authors:  Philipp Heermann; Dennis M Hedderich; Matthias Paul; Christoph Schülke; Jan Robert Kroeger; Bettina Baeßler; Thomas Wichter; David Maintz; Johannes Waltenberger; Walter Heindel; Alexander C Bunck
Journal:  J Cardiovasc Magn Reson       Date:  2014-10-07       Impact factor: 5.364

5.  Assessment of reverse remodeling predicted by myocardial deformation on tissue tracking in patients with severe aortic stenosis: a cardiovascular magnetic resonance imaging study.

Authors:  Ji-Won Hwang; Sung Mok Kim; Sung-Ji Park; Eun Jeong Cho; Eun Kyoung Kim; Sung-A Chang; Sang-Chol Lee; Yeon Hyeon Choe; Seung Woo Park
Journal:  J Cardiovasc Magn Reson       Date:  2017-10-23       Impact factor: 5.364

6.  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.

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

Review 7.  Standardized cardiovascular magnetic resonance (CMR) protocols 2013 update.

Authors:  Christopher M Kramer; Jörg Barkhausen; Scott D Flamm; Raymond J Kim; Eike Nagel
Journal:  J Cardiovasc Magn Reson       Date:  2013-10-08       Impact factor: 5.364

  7 in total
  2 in total

Review 1.  The Role of Cardiac Magnetic Resonance in Aortic Stenosis and Regurgitation.

Authors:  Marco Guglielmo; Chiara Rovera; Mark G Rabbat; Gianluca Pontone
Journal:  J Cardiovasc Dev Dis       Date:  2022-04-04

2.  Additive effect of aortic regurgitation degree on left ventricular strain in patients with type 2 diabetes mellitus evaluated via cardiac magnetic resonance tissue tracking.

Authors:  Li-Ting Shen; Li Jiang; Ya-Wen Zhu; Meng-Ting Shen; Shan Huang; Rui Shi; Yuan Li; Zhi-Gang Yang
Journal:  Cardiovasc Diabetol       Date:  2022-03-11       Impact factor: 9.951

  2 in total

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