Literature DB >> 22239899

Imaging for planning of cardiac resynchronization therapy.

Bobak Heydari1, Michael Jerosch-Herold, Raymond Y Kwong.   

Abstract

Cardiac resynchronization therapy (CRT) is a novel therapy for patients with refractory heart failure (HF). Large clinical trials evaluating CRT have demonstrated significant improvements in cardiac survival, decreases in recurrent HF hospitalization, and improvements in indexes of quality of life. Although numerous mechanisms are involved in CRT's therapeutic effects, correction of both interventricular and intraventricular mechanical dyssynchrony has been postulated as the key mechanism. To date, most large randomized controlled trials evaluating CRT have identified dyssynchronous patients on the basis of prolongation of the QRS complex from the baseline electrocardiogram. Concerns have been raised regarding the use of this measure for patient selection, stemming from a significant 30% to 40% nonresponse rate to CRT. Because of the cost and invasive nature of CRT, optimal patient selection for this therapy has become a priority for HF specialists and electrophysiologists. Cardiac imaging modalities have attempted to fulfill this need to improve patient selection by identifying mechanical dyssynchrony. Although early echocardiographic studies reported promising results, more recent larger scale studies have curtailed this enthusiasm, with a lack of established selection criteria for CRT in the current practice guidelines. This review summarizes the evidence to date and the potential role of imaging modalities in the selection and care of patients with HF referred for CRT.
Copyright © 2012 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22239899      PMCID: PMC4382349          DOI: 10.1016/j.jcmg.2011.11.006

Source DB:  PubMed          Journal:  JACC Cardiovasc Imaging        ISSN: 1876-7591


  68 in total

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2.  Spectral pulsed-wave tissue Doppler imaging lateral-to-septal delay fails to predict clinical or echocardiographic outcome after cardiac resynchronization therapy.

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Journal:  Europace       Date:  2007-01-11       Impact factor: 5.214

3.  Three-dimensional myocardial deformations: calculation with displacement field fitting to tagged MR images.

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Journal:  Radiology       Date:  1995-06       Impact factor: 11.105

4.  Comparison of magnetic resonance feature tracking for strain calculation with harmonic phase imaging analysis.

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Journal:  JACC Cardiovasc Imaging       Date:  2010-02

5.  Prediction of response to cardiac resynchronization therapy: the selection of candidates for CRT (SCART) study.

Authors:  Augusto Achilli; Carlo Peraldo; Massimo Sassara; Serafino Orazi; Stefano Bianchi; Francesco Laurenzi; Roberto Donati; Giovanni B Perego; Andrea Spampinato; Sergio Valsecchi; Alessandra Denaro; Andrea Puglisi
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6.  Identification of different heart tissues from MRI C-SENC images using an unsupervised multi-stage fuzzy clustering technique.

Authors:  El-Sayed H Ibrahim; Robert G Weiss; Matthias Stuber; Amy E Spooner; Nael F Osman
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7.  Poor agreement of echographic measures of ventricular dyssynchrony.

Authors:  Haran Burri; Hajo Müller; Isabelle Vieira; René Lerch
Journal:  Eur J Echocardiogr       Date:  2008-03

8.  Real-time three-dimensional echocardiography permits quantification of left ventricular mechanical dyssynchrony and predicts acute response to cardiac resynchronization therapy.

Authors:  Nina Ajmone Marsan; Gabe B Bleeker; Claudia Ypenburg; Stefano Ghio; Nico R van de Veire; Eduard R Holman; Ernst E van der Wall; L Tavazzi; Martin J Schalij; Jeroen J Bax
Journal:  J Cardiovasc Electrophysiol       Date:  2007-12-20

9.  Systolic improvement and mechanical resynchronization does not require electrical synchrony in the dilated failing heart with left bundle-branch block.

Authors:  Christophe Leclercq; Owen Faris; Richard Tunin; Jennifer Johnson; Ritsuchi Kato; Frank Evans; Julio Spinelli; Henry Halperin; Elliot McVeigh; David A Kass
Journal:  Circulation       Date:  2002-10-01       Impact factor: 29.690

10.  Phase analysis of gated myocardial perfusion single-photon emission computed tomography compared with tissue Doppler imaging for the assessment of left ventricular dyssynchrony.

Authors:  Maureen M Henneman; Ji Chen; Claudia Ypenburg; Petra Dibbets; Gabe B Bleeker; Eric Boersma; Marcel P Stokkel; Ernst E van der Wall; Ernest V Garcia; Jeroen J Bax
Journal:  J Am Coll Cardiol       Date:  2007-04-05       Impact factor: 24.094

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  9 in total

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2.  European perspective: Comparing the AHA/ACC and ESC guidelines for the management of patients with ventricular arrhythmias and the prevention of sudden cardiac death.

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Journal:  J Nucl Cardiol       Date:  2018-10       Impact factor: 5.952

4.  Localization of myocardial scar in patients with cardiomyopathy and left bundle branch block using electrocardiographic Selvester QRS scoring.

Authors:  Björn Wieslander; Katherine C Wu; Zak Loring; Linus G Andersson; Terry F Frank; Gary Gerstenblith; Gordon F Tomaselli; Robert G Weiss; Galen S Wagner; Martin Ugander; David G Strauss
Journal:  J Electrocardiol       Date:  2013-03-26       Impact factor: 1.438

5.  Association between left ventricular regional sympathetic denervation and mechanical dyssynchrony in phase analysis: a cardiac CZT study.

Authors:  Alessia Gimelli; Riccardo Liga; Dario Genovesi; Assuero Giorgetti; Annette Kusch; Paolo Marzullo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-12-06       Impact factor: 9.236

6.  Prediction of Cardiac Resynchronization Therapy Response Using a Lead Placement Score Derived From 4-Dimensional Computed Tomography.

Authors:  Ashish Manohar; Gabrielle M Colvert; James Yang; Zhennong Chen; Maria J Ledesma-Carbayo; Mads Brix Kronborg; Anders Sommer; Bjarne L Nørgaard; Jens Cosedis Nielsen; Elliot R McVeigh
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7.  Evaluation of dyssynchrony with nuclear cardiac imaging: New evidence for an old parameter.

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8.  Ultrasound-targeted microbubble destruction-mediated Ang1 gene transfection improves left ventricular structural and sympathetic nerve remodeling in canines with myocardial infarction.

Authors:  Sheng Cao; Qing Deng; Yijia Wang; Yanxiang Zhou; Qing Zhou
Journal:  Ann Transl Med       Date:  2021-02

9.  Machine Learning Prediction of Cardiac Resynchronisation Therapy Response From Combination of Clinical and Model-Driven Data.

Authors:  Svyatoslav Khamzin; Arsenii Dokuchaev; Anastasia Bazhutina; Tatiana Chumarnaya; Stepan Zubarev; Tamara Lyubimtseva; Viktoria Lebedeva; Dmitry Lebedev; Viatcheslav Gurev; Olga Solovyova
Journal:  Front Physiol       Date:  2021-12-14       Impact factor: 4.566

  9 in total

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