Literature DB >> 27729358

Multimodality Cardiac Imaging for the Assessment of Left Atrial Function and the Association With Atrial Arrhythmias.

Flemming Javier Olsen1, Litten Bertelsen2, Martina Chantal de Knegt2, Thomas Emil Christensen2, Niels Vejlstrup2, Jesper Hastrup Svendsen2, Jan Skov Jensen2, Tor Biering-Sørensen2.   

Abstract

Several cardiac imaging modalities are able to visualize the left atrium (LA) and, therefore, allow for quantification of both structural and functional properties of this cardiac chamber. In echocardiography, only the maximal LA volume is included in the assessment of diastolic function at the current moment. Numerous studies, however, have shown that functional measures may be superior to the maximal LA volume in several aspects and to possess clinical value even in the absence of structural abnormalities. Such functional measures could prove particularly useful in the setting of predicting atrial fibrillation, which will be a point of focus in this review. Pivotal cardiac magnetic resonance imaging studies have revealed high correlation between LA fibrosis and risk of atrial fibrillation recurrence after catheter ablation, and subsequent multimodality imaging studies have uncovered an inverse relationship between LA reservoir function and degree of LA fibrosis. This has sparked an increased interest into the application of advanced imaging modalities, including both speckle tracking echocardiography and tissue tracking by cardiac magnetic resonance imaging. Even though increasing evidence has supported the use of functional measures and proven its superiority to the maximal LA volume, they have still not been adopted in clinical guidelines. The reason for this discrepancy may rely on the fact that there is little to no agreement on how to technically perform deformation analysis of the LA. Such technical considerations, limitations, and alternate imaging prospects will be addressed in this review.
© 2016 American Heart Association, Inc.

Entities:  

Keywords:  atrial fibrillation; cardiac computed tomography; cardiac magnetic resonance imaging; echocardiography; left atrium; positron emission tomography

Mesh:

Year:  2016        PMID: 27729358     DOI: 10.1161/CIRCIMAGING.116.004947

Source DB:  PubMed          Journal:  Circ Cardiovasc Imaging        ISSN: 1941-9651            Impact factor:   7.792


  17 in total

1.  Severe bradyarrhythmia linked to left atrial dysfunction in Fabry disease-A cross-sectional study.

Authors:  Lu Zhao Di; Maxime Pichette; Réginald Nadeau; Daniel G Bichet; Frédéric Poulin
Journal:  Clin Cardiol       Date:  2018-09-20       Impact factor: 2.882

2.  Relationship between left atrial strain, diastolic dysfunction and subclinical atrial fibrillation in patients with cryptogenic stroke: the SURPRISE echo substudy.

Authors:  Flemming J Olsen; Louisa M Christensen; Derk W Krieger; Søren Højberg; Nis Høst; Finn M Karlsen; Jesper H Svendsen; Hanne Christensen; Tor Biering-Sørensen
Journal:  Int J Cardiovasc Imaging       Date:  2019-10-08       Impact factor: 2.357

3.  Early recurrence during the blanking period and left atrial reverse remodeling after catheter ablation for non-paroxysmal atrial fibrillation.

Authors:  Takafumi Oka; Yasushi Koyama; Koji Tanaka; Yuko Hirao; Nobuaki Tanaka; Masato Okada; Issei Yoshimoto; Ryo Kitagaki; Atsunori Okamura; Katsuomi Iwakura; Yasushi Sakata; Kenshi Fujii; Koichi Inoue
Journal:  Int J Cardiol Heart Vasc       Date:  2020-07-23

4.  The Value of Voltage Histogram Analysis Derived Right Atrial Scar Burden in the Prediction of Left Atrial Scar Burden.

Authors:  Szilvia Herczeg; Joseph Galvin; John J Keaney; Edward Keelan; Roger Byrne; Claire Howard; Laszlo Geller; Gabor Szeplaki
Journal:  Cardiol Res Pract       Date:  2020-08-13       Impact factor: 1.866

5.  FDG atrial uptake is associated with an increased prevalence of stroke in patients with atrial fibrillation.

Authors:  Mathieu Sinigaglia; Besma Mahida; Eve Piekarski; Renata Chequer; Nidaa Mikail; Khadija Benali; Fabien Hyafil; Dominique Le Guludec; François Rouzet
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-01-25       Impact factor: 9.236

6.  Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation.

Authors:  Marjan Firouznia; Albert K Feeny; Michael A LaBarbera; Meghan McHale; Catherine Cantlay; Natalie Kalfas; Paul Schoenhagen; Walid Saliba; Patrick Tchou; John Barnard; Mina K Chung; Anant Madabhushi
Journal:  Circ Arrhythm Electrophysiol       Date:  2021-02-12

7.  Global longitudinal strain corrected by RR interval is a superior predictor of all-cause mortality in patients with systolic heart failure and atrial fibrillation.

Authors:  Daniel Modin; Morten Sengeløv; Peter Godsk Jørgensen; Niels Eske Bruun; Flemming Javier Olsen; Maria Dons; Thomas Fritz Hansen; Jan Skov Jensen; Tor Biering-Sørensen
Journal:  ESC Heart Fail       Date:  2017-10-11

8.  Electrocardiogram and left atrial abnormality: Design of an observational study to clarify diagnostic criteria.

Authors:  Juan Lacalzada-Almeida; María Manuela Izquierdo-Gómez; Ignacio Laynez-Cerdeña; Javier García-Niebla; Vanesa Bruña; Antonio Bayés de Luna; Manuel Martínez-Sellés
Journal:  Ann Noninvasive Electrocardiol       Date:  2020-05-29       Impact factor: 1.468

9.  Automated left atrial time-resolved segmentation in MRI long-axis cine images using active contours.

Authors:  Ricardo A Gonzales; Felicia Seemann; Jérôme Lamy; Per M Arvidsson; Einar Heiberg; Victor Murray; Dana C Peters
Journal:  BMC Med Imaging       Date:  2021-06-19       Impact factor: 1.930

10.  Classification of Left Atrial Diseased Tissue Burden Determined by Automated Voltage Analysis Predicts Outcomes after Ablation for Atrial Fibrillation.

Authors:  Szilvia Herczeg; John J Keaney; Edward Keelan; Claire Howard; Katie Walsh; Laszlo Geller; Gabor Szeplaki; Joseph Galvin
Journal:  Dis Markers       Date:  2021-06-22       Impact factor: 3.434

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