Literature DB >> 26724669

Diagnostic implications of magnetic resonance feature tracking derived myocardial strain parameters in acute myocarditis.

Bettina Baeßler1, Frank Schaarschmidt2, Anastasia Dick3, Guido Michels4, David Maintz5, Alexander C Bunck6.   

Abstract

PURPOSE: The present study aims to evaluate the diagnostic value of cardiac magnetic resonance (CMR) feature tracking (FT) derived strain-analysis of both ventricles in patients with acute myocarditis (ACM) in order to improve its currently still challenging non-invasive diagnosis.
METHODS: CMR cine data of 31 patients with clinically suspected ACM and confirmation of diagnosis by CMR according to the Lake Louise criteria as well as 14 patients with clinically diagnosed ACM but inconspicuous CMR were retrospectively analyzed. 20 healthy volunteers (HV) served as a control. Analysis of global longitudinal, circumferential and radial strain and strain rate of both ventricles was performed in one long-axis and three short-axis slices using a dedicated FT-software (TomTec Imaging Systems).
RESULTS: Patients with ACM showed significantly reduced LV longitudinal strain (-12.7 ± 6.5 vs. -16.8 ± 5.9%, p=0.021) and LV circumferential strain (LVCirStrain; -22.9 ± 5.7 vs. -27.8 ± 4.4 %, p<0.001) compared to HV. Conversely, they showed improved basal RV circumferential strain rate (BasalRVCirSR; -0.70 ± 0.23 vs. -0.47 ± 0.31s(-1), p=0.009). In ACM patients with preserved EF, BasalRVCirSR was significantly increased compared to HV while LV strain was not significantly different between both groups. In multinominal logistic regression analysis, LVCirStrain and BasalRVCirSR proved to be the best independent predictors of ACM with preserved EF. A combined cut-off of -0.53s(-1) for BasalRVCirSR and of -29.0% for LVCirStrain allowed a classification of ACM patients with preserved EF with a sensitivity of 89% and a specificity of 80%. Also patients with clinical ACM but inconspicuous CMR showed a significantly improved BasalRVCirSR and a cut-off of -0.77s(-1) allowed a classification of ACM patients with a sensitivity of 70% and a specificity of 90%, while all other CMR parameters were normal.
CONCLUSIONS: The defined cut-offs for LVCirStrain and BasalRVCirSR allow a prediction of ACM with high sensitivity and specificity, even in patients with preserved EF and in patients with otherwise completely inconspicuous CMR. Our results point to a discriminative power especially of RV strain analysis in the CMR-based diagnosis of ACM.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Acute myocarditis; Cardiovascular magnetic resonance; Feature tracking; Lake Louise criteria; Myocardial strain

Mesh:

Year:  2015        PMID: 26724669     DOI: 10.1016/j.ejrad.2015.11.023

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


  18 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.  Myocardial Strain Using Cardiac MR Feature Tracking and Speckle Tracking Echocardiography in Duchenne Muscular Dystrophy Patients.

Authors:  Bryan Siegel; Laura Olivieri; Heather Gordish-Dressman; Christopher F Spurney
Journal:  Pediatr Cardiol       Date:  2017-11-29       Impact factor: 1.655

3.  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

4.  Differences in myocardial strain between pectus excavatum patients and healthy subjects assessed by cardiac MRI: a pilot study.

Authors:  André Lollert; Tilman Emrich; Jakob Eichstädt; Christoph Kampmann; Tariq Abu-Tair; Salmai Turial; Christoph Düber; Karl-Friedrich Kreitner; Gundula Staatz
Journal:  Eur Radiol       Date:  2017-09-11       Impact factor: 5.315

5.  Re-evaluation of a novel approach for quantitative myocardial oedema detection by analysing tissue inhomogeneity in acute myocarditis using T2-mapping.

Authors:  Bettina Baeßler; Frank Schaarschmidt; Melanie Treutlein; Christian Stehning; Bernhard Schnackenburg; Guido Michels; David Maintz; Alexander C Bunck
Journal:  Eur Radiol       Date:  2017-06-27       Impact factor: 5.315

6.  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

7.  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

8.  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

9.  Quantification of myocardial deformation in patients with Fabry disease by cardiovascular magnetic resonance feature tracking imaging.

Authors:  Lei Zhao; Chen Zhang; Jie Tian; Madiha Saiedi; Chenyao Ma; Ning Li; Fang Fang; Xiaohai Ma; Joseph Selvanayagam
Journal:  Cardiovasc Diagn Ther       Date:  2021-02

10.  Endovascular reversal of renovascular hypertension blunts cardiac dysfunction and deformation in swine.

Authors:  Shasha Yu; Kai Jiang; Xiang Y Zhu; Christopher M Ferguson; James D Krier; Amir Lerman; Lilach O Lerman
Journal:  J Hypertens       Date:  2021-03-01       Impact factor: 4.844

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.