Literature DB >> 26463874

Focal But Not Diffuse Myocardial Fibrosis Burden Quantification Using Cardiac Magnetic Resonance Imaging Predicts Left Ventricular Reverse Modeling Following Cardiac Resynchronization Therapy.

Zhong Chen1,2, Manav Sohal1,2, Eva Sammut1,2, Nick Child1,2, Tom Jackson1,2, Simon Claridge1,2, Michael Cooklin2, Mark O'Neill1,2, Matthew Wright1,2, Jaswinder Gill1,2, Amedeo Chiribiri1,2, Tobias Schaeffter1, Gerry Carr-White2, Reza Razavi1,2, C Aldo Rinaldi1,2.   

Abstract

INTRODUCTION: Many heart failure patients with dyssynchrony do not reverse remodel (RR) in response to cardiac resynchronization therapy (CRT). The presence of focal and diffuse interstitial myocardial fibrosis may explain this high nonresponse rate. T1 mapping is a new cardiac magnetic resonance imaging (CMR) technique that overcomes the limitations of conventional contrast CMR and provides reliable quantitative assessment of diffuse myocardial fibrosis. The study tested the hypothesis that focal and diffuse fibrosis quantification would correlate with a lack of left ventricular (LV) RR to CRT. METHODS AND
RESULTS: In a prospective study of 48 consecutive patients (27 ischemic cardiomyopathy, 21 dilated cardiomyopathy) LV scar burdens were quantified (scar core and gray zone using late gadolinium enhancement LGE CMR; interstitial fibrosis using T1 mapping) before CRT implant. LV RR was defined by a ≥ 15% reduction in LV end-systolic volume 6 months postimplant. Twenty-seven (56%) patients were responders with RR. Association between scar quantification and LV RR was assessed using the Poisson regression model. Univariate analysis showed that QRS duration/morphology, scar core, and gray zone volumes expressed as % of LV mass and extracellular volume index (ECV) (a measure of interstitial fibrosis from T1 mapping) to be significant predictors of LV RR. Multivariable-adjusted analyses demonstrated scar core quantification (≥ 13.7% LV mass) to be the only independent predictor of LV RR (prevalence ratio 0.40, P = 0.038).
CONCLUSIONS: Focal scar burden detected by LGE CMR is associated with a poor response to CRT. Diffuse interstitial fibrosis assessment by T1 mapping, however, is not independently predictive of CRT response.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  T1 mapping; cardiac magnetic resonance imaging; cardiac resynchronization therapy; fibrosis; reverse remodeling

Mesh:

Substances:

Year:  2015        PMID: 26463874     DOI: 10.1111/jce.12855

Source DB:  PubMed          Journal:  J Cardiovasc Electrophysiol        ISSN: 1045-3873


  12 in total

1.  Associations between scar characteristics by cardiac magnetic resonance and changes in left ventricular ejection fraction in primary prevention defibrillator recipients.

Authors:  Yiyi Zhang; Eliseo Guallar; Robert G Weiss; Michael Stillabower; Gary Gerstenblith; Gordon F Tomaselli; Katherine C Wu
Journal:  Heart Rhythm       Date:  2016-04-19       Impact factor: 6.343

Review 2.  Cardiac Resynchronization Therapy in Non-Ischemic Cardiomyopathy.

Authors:  Miriam Shanks; Victoria Delgado; Jeroen J Bax
Journal:  J Atr Fibrillation       Date:  2016-02-29

3.  Pooled summary of native T1 value and extracellular volume with MOLLI variant sequences in normal subjects and patients with cardiovascular disease.

Authors:  Ha Q Vo; Thomas H Marwick; Kazuaki Negishi
Journal:  Int J Cardiovasc Imaging       Date:  2019-11-04       Impact factor: 2.357

4.  Myocardial Fibrosis as a Predictor of Ventricular Arrhythmias in Patients With Non-ischemic Cardiomyopathy.

Authors:  Călin Schiau; Daniel-Corneliu Leucuța; Sorin Marian Dudea; Simona Manole
Journal:  In Vivo       Date:  2021 May-Jun       Impact factor: 2.155

Review 5.  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

6.  The Prognostic Role of Tissue Characterisation using Cardiovascular Magnetic Resonance in Heart Failure.

Authors:  Robert D Adam; James Shambrook; Andrew S Flett
Journal:  Card Fail Rev       Date:  2017-11

Review 7.  Left ventricular reverse remodelling and its predictors in non-ischaemic cardiomyopathy.

Authors:  Tomas Hnat; Josef Veselka; Jakub Honek
Journal:  ESC Heart Fail       Date:  2022-04-18

Review 8.  Native T1 reference values for nonischemic cardiomyopathies and populations with increased cardiovascular risk: A systematic review and meta-analysis.

Authors:  Maaike van den Boomen; Riemer H J A Slart; Enzo V Hulleman; Rudi A J O Dierckx; Birgitta K Velthuis; Pim van der Harst; David E Sosnovik; Ronald J H Borra; Niek H J Prakken
Journal:  J Magn Reson Imaging       Date:  2017-11-13       Impact factor: 4.813

9.  Optimization of CRT programming using non-invasive electrocardiographic imaging to assess the acute electrical effects of multipoint pacing.

Authors:  Benjamin J Sieniewicz; Tom Jackson; Simon Claridge; Helder Pereira; Justin Gould; Baldeep Sidhu; Bradley Porter; Steve Niederer; Cheng Yao; Christopher A Rinaldi
Journal:  J Arrhythm       Date:  2019-01-14

10.  Low fibrosis biomarker levels predict cardiac resynchronization therapy response.

Authors:  Grégoire Massoullié; Vincent Sapin; Sylvain Ploux; Patrick Rossignol; Aurélien Mulliez; Frédéric Jean; Pierre-Yves Marie; Charles Merlin; Bruno Pereira; Marius Andronache; Pascal Motreff; Xavier Chabin; Jean-Marc Sellal; Bernard Citron; Jean-René Lusson; Charles Vorilhon; Guillaume Clerfond; Pierre Bordachar; Faiez Zannad; Romain Eschalier
Journal:  Sci Rep       Date:  2019-04-15       Impact factor: 4.379

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