Literature DB >> 34718484

Left atrial evaluation by cardiovascular magnetic resonance: sensitive and unique biomarkers.

Dana C Peters1, Jérôme Lamy1, Albert J Sinusas2, Lauren A Baldassarre2.   

Abstract

Left atrial (LA) imaging is still not routinely used for diagnosis and risk stratification, although recent studies have emphasized its importance as an imaging biomarker. Cardiovascular magnetic resonance is able to evaluate LA structure and function, metrics that serve as early indicators of disease, and provide prognostic information, e.g. regarding diastolic dysfunction, and atrial fibrillation (AF). MR angiography defines atrial anatomy, useful for planning ablation procedures, and also for characterizing atrial shapes and sizes that might predict cardiovascular events, e.g. stroke. Long-axis cine images can be evaluated to define minimum, maximum, and pre-atrial contraction LA volumes, and ejection fractions (EFs). More modern feature tracking of these cine images provides longitudinal LA strain through the cardiac cycle, and strain rates. Strain may be a more sensitive marker than EF and can predict post-operative AF, AF recurrence after ablation, outcomes in hypertrophic cardiomyopathy, stratification of diastolic dysfunction, and strain correlates with atrial fibrosis. Using high-resolution late gadolinium enhancement (LGE), the extent of fibrosis in the LA can be estimated and post-ablation scar can be evaluated. The LA LGE method is widely available, its reproducibility is good, and validations with voltage-mapping exist, although further scan-rescan studies are needed, and consensus regarding atrial segmentation is lacking. Using LGE, scar patterns after ablation in AF subjects can be reproducibly defined. Evaluation of 'pre-existent' atrial fibrosis may have roles in predicting AF recurrence after ablation, predicting new-onset AF and diastolic dysfunction in patients without AF. LA imaging biomarkers are ready to enter into diagnostic clinical practice. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author(s) 2021. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  cardiovascular magnetic resonance; fibrosis; late gadolinium enhancement; left atrium; strain; strain rate; volume

Mesh:

Substances:

Year:  2021        PMID: 34718484      PMCID: PMC8685602          DOI: 10.1093/ehjci/jeab221

Source DB:  PubMed          Journal:  Eur Heart J Cardiovasc Imaging        ISSN: 2047-2404            Impact factor:   6.875


  179 in total

1.  Pre-operative left atrial strain predicts post-operative atrial fibrillation in patients undergoing aortic valve replacement for aortic stenosis.

Authors:  Matteo Cameli; Matteo Lisi; Rosanna Reccia; Elena Bennati; Angela Malandrino; Marco Solari; Elisa Bigio; Bonizella Biagioli; Francesca Maria Righini; Massimo Maccherini; Mario Chiavarelli; Michael Henein; Sergio Mondillo
Journal:  Int J Cardiovasc Imaging       Date:  2013-11-08       Impact factor: 2.357

2.  Relationship between atrial scar on cardiac magnetic resonance and pulmonary vein reconnection after catheter ablation for paroxysmal atrial fibrillation.

Authors:  Nora Al Jefairi; Claudia Camaioni; Soumaya Sridi; Ghassen Cheniti; Masateru Takigawa; Hubert Nivet; Arnaud Denis; Nicolas Derval; Francois Laurent; Michel Montaudon; Frederic Sacher; Mélèze Hocini; Michel Haissaguerre; Pierre Jais; Hubert Cochet
Journal:  J Cardiovasc Electrophysiol       Date:  2019-03-25

3.  Pulmonary vein inflow artifact reduction for free-breathing left atrium late gadolinium enhancement.

Authors:  Mehdi H Moghari; Dana C Peters; Jouke Smink; Lois Goepfert; Kraig V Kissinger; Beth Goddu; Thomas H Hauser; Mark E Josephson; Warren J Manning; Reza Nezafat
Journal:  Magn Reson Med       Date:  2011-02-28       Impact factor: 4.668

4.  Prognostic value of left atrial strain in predicting cardiovascular morbidity and mortality in the general population.

Authors:  Daniel Modin; Sofie Reumert Biering-Sørensen; Rasmus Møgelvang; Alia Saed Alhakak; Jan Skov Jensen; Tor Biering-Sørensen
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2019-07-01       Impact factor: 6.875

5.  Fibrosis, myocardial crossings, disconnections, abrupt turns, and epicardial reflections: do they play an actual role in human permanent atrial fibrillation? A controlled necropsy study.

Authors:  Italo Martins de Oliveira; Bárbara Daniela Oliveira; Maurício Ibrahim Scanavacca; Paulo Sampaio Gutierrez
Journal:  Cardiovasc Pathol       Date:  2012-08-20       Impact factor: 2.185

6.  The association of baseline left atrial structure and function measured with cardiac magnetic resonance and pulmonary vein isolation outcome in patients with drug-refractory atrial fibrillation.

Authors:  Mohammadali Habibi; Joao A C Lima; Esra Gucuk Ipek; Stefan L Zimmerman; Vadim Zipunnikov; David Spragg; Hiroshi Ashikaga; John Rickard; Joseph E Marine; Ronald D Berger; Hugh Calkins; Saman Nazarian
Journal:  Heart Rhythm       Date:  2016-01-14       Impact factor: 6.343

7.  Strain rate imaging for functional quantification of the left atrium: atrial deformation predicts the maintenance of sinus rhythm after catheter ablation of atrial fibrillation.

Authors:  Carsten Schneider; Rainer Malisius; Korff Krause; Friedrun Lampe; Edda Bahlmann; Sigrid Boczor; Matthias Antz; Sabine Ernst; Karl-Heinz Kuck
Journal:  Eur Heart J       Date:  2008-04-24       Impact factor: 29.983

8.  Left atrial 4D flow cardiovascular magnetic resonance: a reproducibility study in sinus rhythm and atrial fibrillation.

Authors:  Aaron T Hess; Rohan S Wijesurendra; Marco Spartera; Guilherme Pessoa-Amorim; Antonio Stracquadanio; Adam Von Ende; Alison Fletcher; Peter Manley; Stefan Neubauer; Vanessa M Ferreira; Barbara Casadei
Journal:  J Cardiovasc Magn Reson       Date:  2021-03-22       Impact factor: 5.364

9.  Fully Automatic Atrial Fibrosis Assessment Using a Multilabel Convolutional Neural Network.

Authors:  Orod Razeghi; Iain Sim; Caroline H Roney; Rashed Karim; Henry Chubb; John Whitaker; Louisa O'Neill; Rahul Mukherjee; Matthew Wright; Mark O'Neill; Steven E Williams; Steven Niederer
Journal:  Circ Cardiovasc Imaging       Date:  2020-12-15       Impact factor: 7.792

10.  Automated analysis of atrial late gadolinium enhancement imaging that correlates with endocardial voltage and clinical outcomes: a 2-center study.

Authors:  L C Malcolme-Lawes; C Juli; R Karim; W Bai; R Quest; P B Lim; S Jamil-Copley; P Kojodjojo; B Ariff; D W Davies; D Rueckert; D P Francis; R Hunter; D Jones; R Boubertakh; S E Petersen; R Schilling; P Kanagaratnam; N S Peters
Journal:  Heart Rhythm       Date:  2013-05-16       Impact factor: 6.343

View more
  2 in total

Review 1.  Putative protective effects of sodium-glucose cotransporter 2 inhibitors on atrial fibrillation through risk factor modulation and off-target actions: potential mechanisms and future directions.

Authors:  Syona S Shetty; Andrew Krumerman
Journal:  Cardiovasc Diabetol       Date:  2022-06-28       Impact factor: 8.949

Review 2.  Multimodality Imaging in the Study of the Left Atrium.

Authors:  Sergio Moral; Marc Abulí; Pau Vilardell; Emilce Trucco; Esther Ballesteros; Ramon Brugada
Journal:  J Clin Med       Date:  2022-05-18       Impact factor: 4.964

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.