Literature DB >> 29479568

Relationship Between Fibrosis Detected on Late Gadolinium-Enhanced Cardiac Magnetic Resonance and Re-Entrant Activity Assessed With Electrocardiographic Imaging in Human Persistent Atrial Fibrillation.

Hubert Cochet1,2, Rémi Dubois2, Seigo Yamashita1, Nora Al Jefairi1, Benjamin Berte1, Jean-Marc Sellal1, Darren Hooks1, Antonio Frontera1, Sana Amraoui1,2, Adlane Zemoura1,2, Arnaud Denis1,2, Nicolas Derval1,2, Frederic Sacher1,2, Olivier Corneloup1, Valérie Latrabe1, Stéphanie Clément-Guinaudeau1, Jatin Relan3, Sohail Zahid4, Patrick M Boyle4, Natalia A Trayanova4, Olivier Bernus2, Michel Montaudon1,2, François Laurent1,2, Mélèze Hocini1,2, Michel Haïssaguerre1,2, Pierre Jaïs1,2.   

Abstract

OBJECTIVES: This study sought to assess the relationship between fibrosis and re-entrant activity in persistent atrial fibrillation (AF).
BACKGROUND: The mechanisms involved in sustaining re-entrant activity during AF are poorly understood.
METHODS: Forty-one patients with persistent AF (age 56 ± 12 years; 6 women) were evaluated. High-resolution electrocardiographic imaging (ECGI) was performed during AF by using a 252-chest electrode array, and phase mapping was applied to locate re-entrant activity. Sites of high re-entrant activity were defined as re-entrant regions. Late gadolinium-enhanced (LGE) cardiac magnetic resonance (CMR) was performed at 1.25 × 1.25 × 2.5 mm resolution to characterize atrial fibrosis and measure atrial volumes. The relationship between LGE burden and the number of re-entrant regions was analyzed. Local LGE density was computed and characterized at re-entrant sites. All patients underwent catheter ablation targeting re-entrant regions, the procedural endpoint being AF termination. Clinical, CMR, and ECGI predictors of acute procedural success were then analyzed.
RESULTS: Left atrial (LA) LGE burden was 22.1 ± 5.9% of the wall, and LA volume was 74 ± 21 ml/m2. The number of re-entrant regions was 4.3 ± 1.7 per patient. LA LGE imaging was significantly associated with the number of re-entrant regions (R = 0.52, p = 0.001), LA volume (R = 0.62, p < 0.0001), and AF duration (R = 0.54, p = 0.0007). Regional analysis demonstrated a clustering of re-entrant activity at LGE borders. Areas with high re-entrant activity showed higher local LGE density as compared with the remaining atrial areas (p < 0.0001). Failure to achieve AF termination during ablation was associated with higher LA LGE burden (p < 0.001), higher number of re-entrant regions (p < 0.001), and longer AF duration (p = 0.008).
CONCLUSIONS: The number of re-entrant regions during AF relates to the extent of LGE on CMR, with the location of these regions clustering to LGE areas. These characteristics affect procedural outcomes of ablation.

Entities:  

Keywords:  atrial fibrillation; atrial fibrosis; electrocardiographic mapping; magnetic resonance imaging; re-entry; rotor

Mesh:

Substances:

Year:  2017        PMID: 29479568      PMCID: PMC5824731          DOI: 10.1016/j.jacep.2017.07.019

Source DB:  PubMed          Journal:  JACC Clin Electrophysiol        ISSN: 2405-500X


  38 in total

1.  Structural contributions to fibrillatory rotors in a patient-derived computational model of the atria.

Authors:  Matthew J Gonzales; Kevin P Vincent; Wouter-Jan Rappel; Sanjiv M Narayan; Andrew D McCulloch
Journal:  Europace       Date:  2014-11       Impact factor: 5.214

2.  Electrotonic myofibroblast-to-myocyte coupling increases propensity to reentrant arrhythmias in two-dimensional cardiac monolayers.

Authors:  Sharon Zlochiver; Viviana Muñoz; Karen L Vikstrom; Steven M Taffet; Omer Berenfeld; José Jalife
Journal:  Biophys J       Date:  2008-07-25       Impact factor: 4.033

3.  Noninvasive electrocardiographic imaging: reconstruction of epicardial potentials, electrograms, and isochrones and localization of single and multiple electrocardiac events.

Authors:  H S Oster; B Taccardi; R L Lux; P R Ershler; Y Rudy
Journal:  Circulation       Date:  1997-08-05       Impact factor: 29.690

4.  2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines and the Heart Rhythm Society.

Authors:  Craig T January; L Samuel Wann; Joseph S Alpert; Hugh Calkins; Joaquin E Cigarroa; Joseph C Cleveland; Jamie B Conti; Patrick T Ellinor; Michael D Ezekowitz; Michael E Field; Katherine T Murray; Ralph L Sacco; William G Stevenson; Patrick J Tchou; Cynthia M Tracy; Clyde W Yancy
Journal:  Circulation       Date:  2014-03-28       Impact factor: 29.690

5.  Atrial fibrillation driven by micro-anatomic intramural re-entry revealed by simultaneous sub-epicardial and sub-endocardial optical mapping in explanted human hearts.

Authors:  Brian J Hansen; Jichao Zhao; Thomas A Csepe; Brandon T Moore; Ning Li; Laura A Jayne; Anuradha Kalyanasundaram; Praise Lim; Anna Bratasz; Kimerly A Powell; Orlando P Simonetti; Robert S D Higgins; Ahmet Kilic; Peter J Mohler; Paul M L Janssen; Raul Weiss; John D Hummel; Vadim V Fedorov
Journal:  Eur Heart J       Date:  2015-06-08       Impact factor: 29.983

6.  Noninvasive panoramic mapping of human atrial fibrillation mechanisms: a feasibility report.

Authors:  Michel Haissaguerre; Meleze Hocini; Ashok J Shah; Nicolas Derval; Frederic Sacher; Pierre Jais; Remi Dubois
Journal:  J Cardiovasc Electrophysiol       Date:  2013-02-01

7.  Lack of regional association between atrial late gadolinium enhancement on cardiac magnetic resonance and atrial fibrillation rotors.

Authors:  Jonathan Chrispin; Esra Gucuk Ipek; Sohail Zahid; Adityo Prakosa; Mohammadali Habibi; David Spragg; Joseph E Marine; Hiroshi Ashikaga; John Rickard; Natalia A Trayanova; Stefan L Zimmerman; Vadim Zipunnikov; Ronald D Berger; Hugh Calkins; Saman Nazarian
Journal:  Heart Rhythm       Date:  2015-11-10       Impact factor: 6.343

8.  Noninvasive electrocardiographic imaging for cardiac electrophysiology and arrhythmia.

Authors:  Charulatha Ramanathan; Raja N Ghanem; Ping Jia; Kyungmoo Ryu; Yoram Rudy
Journal:  Nat Med       Date:  2004-03-14       Impact factor: 53.440

9.  Structural correlate of atrial fibrillation in human patients.

Authors:  Sawa Kostin; Gabi Klein; Zoltan Szalay; Stefan Hein; Erwin P Bauer; Jutta Schaper
Journal:  Cardiovasc Res       Date:  2002-05       Impact factor: 10.787

10.  Noninvasive electrocardiographic mapping to improve patient selection for cardiac resynchronization therapy: beyond QRS duration and left bundle branch block morphology.

Authors:  Sylvain Ploux; Joost Lumens; Zachary Whinnett; Michel Montaudon; Maria Strom; Charu Ramanathan; Nicolas Derval; Adlane Zemmoura; Arnaud Denis; Maxime De Guillebon; Ashok Shah; Mélèze Hocini; Pierre Jaïs; Philippe Ritter; Michel Haïssaguerre; Bruce L Wilkoff; Pierre Bordachar
Journal:  J Am Coll Cardiol       Date:  2013-04-16       Impact factor: 24.094

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  45 in total

1.  Human Atrial Fibrillation Drivers Resolved With Integrated Functional and Structural Imaging to Benefit Clinical Mapping.

Authors:  Brian J Hansen; Jichao Zhao; Ning Li; Alexander Zolotarev; Stanislav Zakharkin; Yufeng Wang; Josh Atwal; Anuradha Kalyanasundaram; Suhaib H Abudulwahed; Katelynn M Helfrich; Anna Bratasz; Kimerly A Powell; Bryan Whitson; Peter J Mohler; Paul M L Janssen; Orlando P Simonetti; John D Hummel; Vadim V Fedorov
Journal:  JACC Clin Electrophysiol       Date:  2018-11-01

2.  Heterogeneity of the action potential duration is required for sustained atrial fibrillation.

Authors:  Uma Mahesh R Avula; Jeffrey Abrams; Alexander Katchman; Sergey Zakharov; Sergey Mironov; Joseph Bayne; Daniel Roybal; Anirudh Gorti; Lin Yang; Vivek Iyer; Marc Waase; Deepak Saluja; Edward J Ciaccio; Hasan Garan; Andrew R Marks; Steven O Marx; Elaine Y Wan
Journal:  JCI Insight       Date:  2019-04-25

Review 3.  Addressing challenges of quantitative methodologies and event interpretation in the study of atrial fibrillation.

Authors:  Edward J Ciaccio; Elaine Y Wan; Deepak S Saluja; U Rajendra Acharya; Nicholas S Peters; Hasan Garan
Journal:  Comput Methods Programs Biomed       Date:  2019-06-15       Impact factor: 5.428

Review 4.  The role of personalized atrial modeling in understanding atrial fibrillation mechanisms and improving treatment.

Authors:  Konstantinos N Aronis; Rheeda Ali; Natalia A Trayanova
Journal:  Int J Cardiol       Date:  2019-01-31       Impact factor: 4.164

Review 5.  Catheter ablation for atrial fibrillation: current indications and evolving technologies.

Authors:  Ramanathan Parameswaran; Ahmed M Al-Kaisey; Jonathan M Kalman
Journal:  Nat Rev Cardiol       Date:  2020-10-13       Impact factor: 32.419

6.  Arrhythmogenic propensity of the fibrotic substrate after atrial fibrillation ablation: a longitudinal study using magnetic resonance imaging-based atrial models.

Authors:  Rheeda L Ali; Joe B Hakim; Patrick M Boyle; Sohail Zahid; Bhradeev Sivasambu; Joseph E Marine; Hugh Calkins; Natalia A Trayanova; David D Spragg
Journal:  Cardiovasc Res       Date:  2019-10-01       Impact factor: 10.787

7.  Arrhythmia dynamics in computational models of the atria following virtual ablation of re-entrant drivers.

Authors:  Joe B Hakim; Michael J Murphy; Natalia A Trayanova; Patrick M Boyle
Journal:  Europace       Date:  2018-11-01       Impact factor: 5.214

Review 8.  Comprehensive evaluation of electrophysiological and 3D structural features of human atrial myocardium with insights on atrial fibrillation maintenance mechanisms.

Authors:  Aleksei V Mikhailov; Anuradha Kalyanasundaram; Ning Li; Shane S Scott; Esthela J Artiga; Megan M Subr; Jichao Zhao; Brian J Hansen; John D Hummel; Vadim V Fedorov
Journal:  J Mol Cell Cardiol       Date:  2020-10-29       Impact factor: 5.000

9.  Sensitivity of reentrant driver localization to electrophysiological parameter variability in image-based computational models of persistent atrial fibrillation sustained by a fibrotic substrate.

Authors:  Dongdong Deng; Michael J Murphy; Joe B Hakim; William H Franceschi; Sohail Zahid; Farhad Pashakhanloo; Natalia A Trayanova; Patrick M Boyle
Journal:  Chaos       Date:  2017-09       Impact factor: 3.642

10.  A Computational Study of the Electrophysiological Substrate in Patients Suffering From Atrial Fibrillation.

Authors:  S Pagani; L Dede'; A Frontera; M Salvador; L R Limite; A Manzoni; F Lipartiti; G Tsitsinakis; A Hadjis; P Della Bella; A Quarteroni
Journal:  Front Physiol       Date:  2021-07-08       Impact factor: 4.566

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