Literature DB >> 33892202

Scar channels in cardiac magnetic resonance to predict appropriate therapies in primary prevention.

Paula Sánchez-Somonte1, Levio Quinto2, Paz Garre2, Fatima Zaraket2, Francisco Alarcón1, Roger Borràs2, Gala Caixal2, Sara Vázquez2, Susanna Prat2, Jose T Ortiz-Perez2, Rosario Jesús Perea3, Eduard Guasch1, José Maria Tolosana1, Antonio Berruezo2, Elena Arbelo1, Marta Sitges1, Lluís Mont1, Ivo Roca-Luque4.   

Abstract

BACKGROUND: Scar characteristics analyzed by late gadolinium enhancement cardiac magnetic resonance (LGE-CMR) are related with ventricular arrhythmias. Current guidelines are based only on the left ventricular ejection fraction to recommend an implantable cardioverter-defibrillator (ICD) in primary prevention.
OBJECTIVES: Our study aims to analyze the role of imaging to stratify arrhythmogenic risk in patients with ICD for primary prevention.
METHODS: From 2006 to 2017, we included 200 patients with LGE-CMR before ICD implantation for primary prevention. The scar, border zone, core, and conducting channels (CCs) were automatically measured by a dedicated software.
RESULTS: The mean age was 60.9 ± 10.9 years; 81.5% (163) were men; 52% (104) had ischemic cardiomyopathy. The mean left ventricular ejection fraction was 29% ± 10.1%. After a follow-up of 4.6 ± 2 years, 46 patients (22%) reached the primary end point (appropriate ICD therapy). Scar mass (36.2 ± 19 g vs 21.7 ± 10 g; P < .001), border zone mass (26.4 ± 12.5 g vs 16.0 ± 9.5 g; P < .001), core mass (9.9 ± 8.6 g vs 5.5 ± 5.7 g; P < .001), and CC mass (3.0 ± 2.6 g vs 1.6 ± 2.3 g; P < .001) were associated with appropriate therapies. Scar mass > 10 g (25.31% vs 5.26%; hazard ratio 4.74; P = .034) and the presence of CCs (34.75% vs 8.93%; hazard ratio 4.07; P = .003) were also strongly associated with the primary end point. However, patients without channels and with scar mass < 10 g had a very low rate of appropriate therapies (2.8%).
CONCLUSION: Scar characteristics analyzed by LGE-CMR are strong predictors of appropriate therapies in patients with ICD in primary prevention. The absence of channels and scar mass < 10 g can identify patients at a very low risk of ventricular arrhythmias in this population.
Copyright © 2021 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Border zone; Cardiac magnetic resonance; Conducting channels; Scar; Ventricular tachycardia

Mesh:

Substances:

Year:  2021        PMID: 33892202     DOI: 10.1016/j.hrthm.2021.04.017

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  7 in total

1.  Spatial dispersion analysis of LGE-CMR for prediction of ventricular arrhythmias in patients with cardiac sarcoidosis.

Authors:  Konstantinos N Aronis; David R Okada; Eric Xie; Usama A Daimee; Adityo Prakosa; Nisha A Gilotra; Katherine C Wu; Natalia Trayanova; Jonathan Chrispin
Journal:  Pacing Clin Electrophysiol       Date:  2021-11-26       Impact factor: 1.976

Review 2.  Clinical application of CMR in cardiomyopathies: evolving concepts and techniques : A position paper of myocardial and pericardial diseases and cardiac magnetic resonance working groups of Italian society of cardiology.

Authors:  Marco Merlo; Giulia Gagno; Anna Baritussio; Barbara Bauce; Elena Biagini; Marco Canepa; Alberto Cipriani; Silvia Castelletti; Santo Dellegrottaglie; Andrea Igoren Guaricci; Massimo Imazio; Giuseppe Limongelli; Maria Beatrice Musumeci; Vanda Parisi; Silvia Pica; Gianluca Pontone; Giancarlo Todiere; Camilla Torlasco; Cristina Basso; Gianfranco Sinagra; Pasquale Perrone Filardi; Ciro Indolfi; Camillo Autore; Andrea Barison
Journal:  Heart Fail Rev       Date:  2022-05-10       Impact factor: 4.654

3.  Ventricular tachycardia ablation guided or aided by scar characterization with cardiac magnetic resonance: rationale and design of VOYAGE study.

Authors:  Alessio Lilli; Matteo Parollo; Lorenzo Mazzocchetti; Francesco De Sensi; Andrea Rossi; Pasquale Notarstefano; Amato Santoro; Giovanni Donato Aquaro; Alberto Cresti; Federica Lapira; Lorenzo Faggioni; Carlo Tessa; Luca Pauselli; Maria Grazia Bongiorni; Antonio Berruezo; Giulio Zucchelli
Journal:  BMC Cardiovasc Disord       Date:  2022-04-14       Impact factor: 2.174

Review 4.  Cardiac Magnetic Resonance for Ventricular Tachycardia Ablation and Risk Stratification.

Authors:  Ivo Roca-Luque; Lluis Mont-Girbau
Journal:  Front Cardiovasc Med       Date:  2022-01-12

5.  SBRT of ventricular tachycardia using 4pi optimized trajectories.

Authors:  Cristiano Q M Reis; Brian Little; Robert Lee MacDonald; Alasdair Syme; Christopher G Thomas; James L Robar
Journal:  J Appl Clin Med Phys       Date:  2021-10-22       Impact factor: 2.102

6.  Association of left ventricular tissue heterogeneity and intramyocardial fat on computed tomography with ventricular arrhythmias in ischemic cardiomyopathy.

Authors:  Usama A Daimee; Eric Sung; Marc Engels; Marc K Halushka; Ronald D Berger; Natalia A Trayanova; Katherine C Wu; Jonathan Chrispin
Journal:  Heart Rhythm O2       Date:  2022-04-02

Review 7.  Advanced imaging for risk stratification for ventricular arrhythmias and sudden cardiac death.

Authors:  Eric Xie; Eric Sung; Elie Saad; Natalia Trayanova; Katherine C Wu; Jonathan Chrispin
Journal:  Front Cardiovasc Med       Date:  2022-08-22
  7 in total

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