Literature DB >> 33227129

Accuracy of left atrial fibrosis detection with cardiac magnetic resonance: correlation of late gadolinium enhancement with endocardial voltage and conduction velocity.

Gala Caixal1,2, Francisco Alarcón1,2,3, Till F Althoff1,4,5, Marta Nuñez-Garcia6, Eva Maria Benito1,2, Roger Borràs1,2, Rosario Jesus Perea1,2, Susana Prat-González1,2, Paz Garre1,2, David Soto-Iglesias1,2, Clara Gunturitz1,2,3, Jennifer Cozzari1,2, Markus Linhart1,2, Jose Maria Tolosana1,2,3, Elena Arbelo1,2,3, Ivo Roca-Luque1,2, Marta Sitges1,2,3, Eduard Guasch1,2,3, Lluis Mont1,2,3.   

Abstract

AIMS: Myocardial fibrosis is a hallmark of atrial fibrillation (AF) and its characterization could be used to guide ablation procedures. Late gadolinium enhanced-magnetic resonance imaging (LGE-MRI) detects areas of atrial fibrosis. However, its accuracy remains controversial. We aimed to analyse the accuracy of LGE-MRI to identify left atrial (LA) arrhythmogenic substrate by analysing voltage and conduction velocity at the areas of LGE. METHODS AND
RESULTS: Late gadolinium enhanced-magnetic resonance imaging was performed before ablation in 16 patients. Atrial wall intensity was normalized to blood pool and classified as healthy, interstitial fibrosis, and dense scar tissue depending of the resulting image intensity ratio. Bipolar voltage and local conduction velocity were measured in LA with high-density electroanatomic maps recorded in sinus rhythm and subsequently projected into the LGE-MRI. A semi-automatic, point-by-point correlation was made between LGE-MRI and electroanatomical mapping. Mean bipolar voltage and local velocity progressively decreased from healthy to interstitial fibrosis to scar. There was a significant negative correlation between LGE with voltage (r = -0.39, P < 0.001) and conduction velocity (r = -0.25, P < 0.001). In patients showing dilated atria (LA diameter ≥45 mm) the conduction velocity predictive capacity of LGE-MRI was weaker (r = -0.40 ± 0.09 vs. -0.20 ± 0.13, P = 0.02).
CONCLUSIONS: Areas with higher LGE show lower voltage and slower conduction in sinus rhythm. The enhancement intensity correlates with bipolar voltage and conduction velocity in a point-by-point analysis. The performance of LGE-MRI in assessing local velocity might be reduced in patients with dilated atria (LA diameter ≥45). Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author(s) 2020. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Atrial fibrillation; Atrial fibrosis; Bipolar voltage; Conduction velocity; High-density electroanatomic map; Late gadolinium enhancement; Left atrium

Year:  2021        PMID: 33227129     DOI: 10.1093/europace/euaa313

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  14 in total

Review 1.  [2020 ESC guidelines on atrial fibrillation : Summary of the most relevant recommendations and innovations].

Authors:  Alireza Sepehri Shamloo; Nikolaos Dagres; Gerhard Hindricks
Journal:  Herz       Date:  2021-02       Impact factor: 1.443

2.  Occurrence and morphology of ventricular arrhythmias in apparently normal hearts in relation to late gadolinium enhancement on cardiovascular magnetic resonance.

Authors:  Wen Qian; Wang-Yan Liu; Yin-Su Zhu; Kai Gu; Jun Wang; Xiao-Yue Zhou; Yi Xu; Xiao-Mei Zhu
Journal:  Int J Cardiovasc Imaging       Date:  2022-02-22       Impact factor: 2.357

3.  Extent of Left Atrial Fibrosis Correlates with Descending Aorta Proximity at 3D Late Gadolinium Enhancement Cardiac MRI in Patients with Atrial Fibrillation.

Authors:  Luuk H G A Hopman; Pranav Bhagirath; Mark J Mulder; Iris N Eggink; Albert C van Rossum; Cornelis P Allaart; Marco J W Götte
Journal:  Radiol Cardiothorac Imaging       Date:  2022-01-13

4.  Cardiac endocardial left atrial substrate and lesion depth mapping using near-infrared spectroscopy.

Authors:  Soo Young Park; Haiqiu Yang; Charles Marboe; Ohad Ziv; Kenneth Laurita; Andrew Rollins; Deepak Saluja; Christine P Hendon
Journal:  Biomed Opt Express       Date:  2022-03-02       Impact factor: 3.562

5.  Left Atrial Hypertension, Electrical Conduction Slowing, and Mechanical Dysfunction - The Pathophysiological Triad in Atrial Fibrillation-Associated Atrial Cardiomyopathy.

Authors:  Martin Eichenlaub; Bjoern Mueller-Edenborn; Jan Minners; Nikolaus Jander; Martin Allgeier; Heiko Lehrmann; Simon Schoechlin; Juergen Allgeier; Dietmar Trenk; Franz-Josef Neumann; Thomas Arentz; Amir Jadidi
Journal:  Front Physiol       Date:  2021-08-05       Impact factor: 4.566

6.  Atrial cardiomyopathy in patients with ischaemic stroke: a cross-sectional and prospective cohort study-the COAST study.

Authors:  Bjørn Strøier Larsen; Mark Aplin; Nis Høst; Helena Dominguez; Hanne Christensen; Louisa Marguerite Christensen; Inger Havsteen; Eva Prescott; Gorm Boje Jensen; Niels Vejlstrup; Litten Bertelsen; Ahmad Sajadieh
Journal:  BMJ Open       Date:  2022-05-11       Impact factor: 3.006

7.  CVAR-Seg: An Automated Signal Segmentation Pipeline for Conduction Velocity and Amplitude Restitution.

Authors:  Mark Nothstein; Armin Luik; Amir Jadidi; Jorge Sánchez; Laura A Unger; Eike M Wülfers; Olaf Dössel; Gunnar Seemann; Claus Schmitt; Axel Loewe
Journal:  Front Physiol       Date:  2021-05-24       Impact factor: 4.566

Review 8.  Multimodality Imaging for Atrial Fibrosis Detection in the Era of Precision Medicine.

Authors:  Valentina Barletta; Lorenzo Mazzocchetti; Matteo Parollo; Davide Spatafora; Maria Grazia Bongiorni; Giulio Zucchelli
Journal:  J Cardiovasc Echogr       Date:  2022-01-24

9.  Editorial: Electrical and Structural Remodelling in Atrial Fibrillation: Phenotyping for Personalized Therapy.

Authors:  Vijay S Chauhan; Atul Verma; Sanjiv M Narayan
Journal:  Front Physiol       Date:  2021-05-27       Impact factor: 4.566

10.  Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a Hybrid in silico and in vivo Dataset.

Authors:  Jorge Sánchez; Giorgio Luongo; Mark Nothstein; Laura A Unger; Javier Saiz; Beatriz Trenor; Armin Luik; Olaf Dössel; Axel Loewe
Journal:  Front Physiol       Date:  2021-07-05       Impact factor: 4.566

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.