Literature DB >> 22056486

Magnetic resonance imaging assessment of intraventricular dyssynchrony and delayed enhancement as predictors of response to cardiac resynchronization therapy in patients with heart failure of ischaemic and non-ischaemic etiologies.

Joanna Petryka1, Jolanta Miśko, Andrzej Przybylski, Mateusz Śpiewak, Łukasz A Małek, Konrad Werys, Łukasz Mazurkiewicz, Katarzyna Gepner, Pierre Croisille, Marcin Demkow, Witold Rużyłło.   

Abstract

PURPOSE: To assess the value of dyssynchrony and myocardial viability assessment by cardiac magnetic resonance (CMR) in prediction of response to cardiac resynchronization therapy (CRT) in patients with heart failure (HF) of both ischaemic and non-ischaemic etiologies.
MATERIALS AND METHODS: Patients scheduled for CRT in NYHA class II-IV, left ventricular ejection fraction <35%, QRS ≥ 120 ms were included. Tagged cine and late gadolinium enhancement (LGE) images were performed. Dyssynchrony was assessed with inTag toolbox and LGE was quantified using cutoff value at half of maximal signal in the scar. Cardiopulmonary exercise test, echocardiography and blood testing for NT-proBNP levels were done at baseline and 6 months after CRT.
RESULTS: 52 patients (age 60.3 ± 13 years) were included. 26 patients (50%) met response criteria. The ischaemic etiology of HF was more frequent (69% vs. 31%, p=0.002), the percent of LGE was higher (7.7% [0-13.5%] vs. 19.0% (0-31.9%], p=0.013), regional vector of circumferential strain variance (RVV) was lower (0.27 ± 0.08 vs. 0.34 ± 0.09, p=0.009) and uniformity of radial strain was higher (0.72 ± 0.25 vs. 0.56 ± 0.29, p=0.046) in non-responders vs. responders. Multivariate logistic regression showed that RVV predicted response to CRT (HR 2.3, 95% CI 1.02-5.02, p=0.0430) independently of LGE and the etiology of heart failure. In the subgroup of patients with ischaemic HF the extend of transmural scar within myocardium was higher in non-responders vs. responders (26.3% vs. 15.0% respectively, p=0.01) and was a predictor of response to CRT in univariable analysis (HR 0.87, 95% CI 0.77-0.98, p=0.025) providing the sensitivity of 76% and specificity of 75% at the cutoff point of 18% in the prediction of poor response to CRT. In patients with non-ischaemic HF QRS was wider (162 ms vs. 140 ms, p=0.04), regional vector of strain variance (RVV) was higher (0.39 vs. 0.25, p=0.002) and uniformity of radial strain was lower (0.52 vs. 0.80, p=0.049) in non-responders vs. responders. Univariable logistic regression showed that RVV was a predictor of response to CRT (HR 1.50, 95% CI 1.06-2.13, p=0.022), providing the sensitivity of 94% and specificity of 85% at the cutoff point of 0.31.
CONCLUSIONS: CMR derived parameters of dyssynchrony such as RVV may provide an additive value in prediction of response to CRT, especially in patients with non-ischaemic etiology of heart failure. In patients with ischaemic HF the transmurality of LGE is an important predictor of lack of response to CRT.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 22056486     DOI: 10.1016/j.ejrad.2011.10.003

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


  6 in total

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Authors:  Michel Lalonde; David Birnie; Terrence D Ruddy; Robert A deKemp; Rob S B Beanlands; Richard Wassenaar; R Glenn Wells
Journal:  Int J Cardiovasc Imaging       Date:  2014-01-09       Impact factor: 2.357

2.  Combined identification of septal flash and absence of myocardial scar by cardiac magnetic resonance imaging improves prediction of response to cardiac resynchronization therapy.

Authors:  Manav Sohal; Sana Amraoui; Zhong Chen; Eva Sammut; Tom Jackson; Matthew Wright; Mark O'Neill; Jaswinder Gill; Gerald Carr-White; C Aldo Rinaldi; Reza Razavi
Journal:  J Interv Card Electrophysiol       Date:  2014-06-12       Impact factor: 1.900

Review 3.  The role of cardiac magnetic resonance in identifying appropriate candidates for cardiac resynchronization therapy - a systematic review of the literature.

Authors:  George Bazoukis; Jeremy Man Ho Hui; Yan Hiu Athena Lee; Oscar Hou In Chou; Dimitrios Sfairopoulos; Konstantinos Vlachos; Athanasios Saplaouras; Konstantinos P Letsas; Michael Efremidis; Gary Tse; Vassilios S Vassiliou; Panagiotis Korantzopoulos
Journal:  Heart Fail Rev       Date:  2022-08-31       Impact factor: 4.654

4.  Prediction of response to cardiac resynchronization therapy using left ventricular pacing lead position and cardiovascular magnetic resonance derived wall motion patterns: a prospective cohort study.

Authors:  Gregory R Hartlage; Jonathan D Suever; Stephanie Clement-Guinaudeau; Patrick T Strickland; Nima Ghasemzadeh; R Patrick Magrath; Ankit Parikh; Stamatios Lerakis; Michael H Hoskins; Angel R Leon; Michael S Lloyd; John N Oshinski
Journal:  J Cardiovasc Magn Reson       Date:  2015-07-14       Impact factor: 5.364

Review 5.  Advances in Cardiac Resynchronization Therapy.

Authors:  Asif Jafferani; Miguel A Leal
Journal:  J Innov Card Rhythm Manag       Date:  2019-06-15

6.  Right-ventricular mechanics assessed by cardiovascular magnetic resonance feature tracking in children with hypertrophic cardiomyopathy.

Authors:  Joanna Petryka-Mazurkiewicz; Lidia Ziolkowska; Łukasz Mazurkiewicz; Monika Kowalczyk-Domagała; Agnieszka Boruc; Mateusz Śpiewak; Magdalena Marczak; Grażyna Brzezinska-Rajszys
Journal:  PLoS One       Date:  2021-03-18       Impact factor: 3.240

  6 in total

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