Literature DB >> 29857857

Incremental value of cardiovascular magnetic resonance feature tracking derived atrial and ventricular strain parameters in a comprehensive approach for the diagnosis of acute myocarditis.

Jonas Doerner1, Alexander C Bunck2, Guido Michels3, David Maintz4, Bettina Baeßler5.   

Abstract

PURPOSE/
INTRODUCTION: This study aims to evaluate the incremental diagnostic value of cardiac magnetic resonance (CMR) feature tracking (FT) derived atrial and ventricular strain-analysis in patients with acute myocarditis (myocarditis) as an additional tool to established Lake-Louise criteria (LLC).
MATERIAL AND METHODS: A total of 86 patients with clinically proven myocarditis and 30 healthy controls underwent a comprehensive CMR protocol. In addition to established LLC, FT derived strain parameters from the left (LA) and right atrium (RA) as well as the left (LV) and right ventricle (RV) were assessed. Receiver operating characteristics analysis was performed to compare diagnostic performance.
RESULTS: Patients with myocarditis showed significantly reduced LA passive strain (LA εe: 26.3 ± 14.5 vs. 33.5 ± 10.1%, p = .007), LA peak early negative strain rate (LA SRe: -1.94 ± 0.59 1/s vs. -1.46 ± 0.62 1/s, p < .001), LV global longitudinal strain (LV GLS: -17.2 ± 4.9% vs. -13.3 ± 6.2%, p < .001), LV midventricular circumferential strain (LV mid CS: -25.9 ± 4.7% vs. -22.0 ± 6.5%, p < .001), and an increased RV basal circumferential SR (RV basal CSR: -0.70 ± 028 vs. -0.58 ± 0.34 1/s, p = .096) compared to healthy controls. In a subgroup analysis of patients with myocarditis and preserved LV function, RV basal CSR was also significantly increased compared to healthy controls (-0.74 ± 0.27 vs. -0.57 ± 0.26 1/s; p = .035) whereas LA SRe (-1.49 ± 0.59 vs. -1.32 ± 0.74%; p = .005) was significantly reduced. In multinominal logistic regression analysis, LA SRe and RV basal CSR proved to be the best independent predictors of myocarditis with preserved LV function. Combined with LLC, strain parameters enhanced the diagnostic performance in such patients (Areas under the curve (AUC): LLC: 0.78, LLC + LV GLS + LA SRe: 0.86), whereas LA SRe was the best performing single parameter (AUC: 0.72).
CONCLUSION: Combining quantitative CMR derived atrial and ventricular strain parameters with established LLC parameters can improve the diagnostic performance in patients with suspected myocarditis, including those with preserved LV function. Further investigations should focus on LA function, which appears to be more sensitive to early functional changes than LV function.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Atrial strain; Cardiac magnetic resonance; Myocarditis; Ventricular strain

Mesh:

Year:  2018        PMID: 29857857     DOI: 10.1016/j.ejrad.2018.05.012

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  11 in total

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

Authors:  Xiaorong Chen; Hongjie Hu; Jiangfeng Pan; Jiner Shu; Yi Hu; Risheng Yu
Journal:  Cardiovasc Diagn Ther       Date:  2020-08

2.  Non-invasive assessment of early and acute myocarditis in a rat model using cardiac magnetic resonance tissue tracking analysis of myocardial strain.

Authors:  Jing Zhu; Yushu Chen; Ziqian Xu; Shiyu Wang; Lei Wang; Xiaoxin Liu; Fabao Gao
Journal:  Quant Imaging Med Surg       Date:  2020-11

3.  Layer-specific Strain Analysis with Cardiac MRI Feature Tracking in Acute Myocarditis.

Authors:  Alexander Isaak; Dmitrij Kravchenko; Narine Mesropyan; Christoph Endler; Leon M Bischoff; Thomas Vollbrecht; Daniel Thomas; Darius Dabir; Sebastian Zimmer; Ulrike Attenberger; Daniel Kuetting; Julian A Luetkens
Journal:  Radiol Cardiothorac Imaging       Date:  2022-06-09

Review 4.  Cardiovascular Imaging in Cardio-Oncology: The Role of Echocardiography and Cardiac MRI in Modern Cardio-Oncology.

Authors:  John Alan Gambril; Aaron Chum; Akash Goyal; Patrick Ruz; Katarzyna Mikrut; Orlando Simonetti; Hardeep Dholiya; Brijesh Patel; Daniel Addison
Journal:  Heart Fail Clin       Date:  2022-07       Impact factor: 2.828

Review 5.  State-of-the-art myocardial strain by CMR feature tracking: clinical applications and future perspectives.

Authors:  Jing Xu; Wenjing Yang; Shihua Zhao; Minjie Lu
Journal:  Eur Radiol       Date:  2022-02-24       Impact factor: 7.034

Review 6.  The emerging role of atrial strain assessed by cardiac MRI in different cardiovascular settings: an up-to-date review.

Authors:  Riccardo Cau; Pierpaolo Bassareo; Jasjit S Suri; Gianluca Pontone; Luca Saba
Journal:  Eur Radiol       Date:  2022-04-22       Impact factor: 7.034

7.  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
Journal:  Magn Reson Imaging       Date:  2020-08-25       Impact factor: 3.130

8.  Left ventricular myocardial strain and tissue characterization by cardiac magnetic resonance imaging in immune checkpoint inhibitor associated cardiotoxicity.

Authors:  Angela Y Higgins; Amit Arbune; Aaron Soufer; Elio Ragheb; Jennifer M Kwan; Jerome Lamy; Mariana Henry; Jason R Cuomo; Ahmad Charifa; Cesia Gallegos; Sarah Hull; Jessica Shank Coviello; Anna S Bader; Dana C Peters; Steffen Huber; Hamid R Mojibian; Albert J Sinusas; Harriet Kluger; Lauren A Baldassarre
Journal:  PLoS One       Date:  2021-02-19       Impact factor: 3.240

9.  Myocardial involvement and deformation abnormalities in idiopathic inflammatory myopathy assessed by CMR feature tracking.

Authors:  Johannes Kersten; Ahmet Muhammed Güleroglu; Angela Rosenbohm; Dominik Buckert; Albert Christian Ludolph; Carsten Hackenbroch; Meinrad Beer; Peter Bernhardt
Journal:  Int J Cardiovasc Imaging       Date:  2020-09-17       Impact factor: 2.357

10.  Assessing left atrial function in patients with atrial fibrillation and valvular heart disease using cardiovascular magnetic resonance imaging.

Authors:  Jie Hou; Yu Sun; Libo Zhang; Wei Wang; Hongrui You; Rongrong Zhang; Benqiang Yang; Huishan Wang
Journal:  Clin Cardiol       Date:  2022-03-15       Impact factor: 3.287

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