Literature DB >> 25630749

Assessment of left atrial function by MRI myocardial feature tracking.

Morgane Evin1,2,3,4, Philippe Cluzel1,2,3,4,5, Jerôme Lamy1,2,3,4, David Rosenbaum1,2,3,4, Slawek Kusmia1,6, Carine Defrance2,3,4, Gilles Soulat6, Elie Mousseaux7, Charles Roux1,2,3,4, Karine Clement1, Stéphane N Hatem1,8, Alban Redheuil1,2,3,4,5, Nadjia Kachenoura1,2,3,4.   

Abstract

BACKGROUND: Left atrium (LA) volumes and function are predictors of cardiovascular events. Because LA function cannot be assessed from cardiovascular magnetic resonance imaging (MRI) using the well-established left ventricular tagging techniques, we hypothesized that adequate feature tracking (FT) applied to conventional cine MRI data could characterize LA function accurately.
METHODS: We studied 10 young (28 ± 7 years) and 10 elderly (64 ± 6 years) healthy subjects, as well as 20 patients with moderate to severe aortic valve stenosis (AVS; 73 ± 15 years, effective aortic valve area: 0.67 ± 0.36 cm(2) ). MRI cine two-, three-, and four-chamber views were analyzed using a newly proposed FT method based on spatial correlation and endocardial detection resulting in: regional and global longitudinal strain and strain rate, radial motion fraction and relative velocity for the three LA motion phases including reservoir, conduit, and LA contraction.
RESULTS: FT reliability was indicated by a good overlap between tracking results and manual LA endocardial borders, the low error for comparison against theoretical strains introduced in a synthetic phantom and the good inter-observer reproducibility (coefficient of variation < 15%). While all LA functional parameters were significantly impaired in AVS patients (p < 0.04), subclinical age-related variations induced a decreasing trend on all LA parameters but were significant only for radial conduit function parameters (p < 0.03). Finally, LA functional parameters characterized LA alteration in AVS with higher sensitivity than conventional LA volumetric parameters.
CONCLUSIONS: Left atrial FT is feasible on MRI cine images and its addition to conventional analysis tools might enhance the diagnosis value of MRI in many heart diseases.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  feature tracking; left atrial function; magnetic resonance imaging; myocardial strain and strain rate

Mesh:

Year:  2015        PMID: 25630749     DOI: 10.1002/jmri.24851

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  19 in total

1.  Interleaved, undersampled radial multiple-acquisition steady-state free precession for improved left atrial cine imaging.

Authors:  Jaime S Robb; Chenxi Hu; Dana C Peters
Journal:  Magn Reson Med       Date:  2019-10-12       Impact factor: 4.668

2.  CMR-Verified Lower LA Strain in the Presence of Regional Atrial Fibrosis in Atrial Fibrillation.

Authors:  Dana C Peters; James S Duncan; Karl Grunseich; Mark A Marieb; Daniel Cornfeld; Albert J Sinusas; Sudhakar Chelikani
Journal:  JACC Cardiovasc Imaging       Date:  2016-04-13

Review 3.  Cardiac Imaging for the Assessment of Left Atrial Mechanics Across Heart Failure Stages.

Authors:  Francesco Bandera; Anita Mollo; Matteo Frigelli; Giulia Guglielmi; Nicoletta Ventrella; Maria Concetta Pastore; Matteo Cameli; Marco Guazzi
Journal:  Front Cardiovasc Med       Date:  2022-01-13

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

Authors:  Dana C Peters; Jérôme Lamy; Albert J Sinusas; Lauren A Baldassarre
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2021-12-18       Impact factor: 6.875

5.  Using synthetic data generation to train a cardiac motion tag tracking neural network.

Authors:  Michael Loecher; Luigi E Perotti; Daniel B Ennis
Journal:  Med Image Anal       Date:  2021-09-10       Impact factor: 8.545

Review 6.  Cardiovascular Imaging in Cardio-Oncology: The Role of Echocardiography and Cardiac MRI in Modern Cardio-Oncology.

Authors:  John Alan Gambril; Aaron Chum; Akash Goyal; Patrick Ruz; Katarzyna Mikrut; Orlando Simonetti; Hardeep Dholiya; Brijesh Patel; Daniel Addison
Journal:  Heart Fail Clin       Date:  2022-07       Impact factor: 2.828

7.  Impact of obesity and epicardial fat on early left atrial dysfunction assessed by cardiac MRI strain analysis.

Authors:  Morgane Evin; Kathryn M Broadhouse; Fraser M Callaghan; Rachel T McGrath; Sarah Glastras; Rebecca Kozor; Samantha L Hocking; Jérôme Lamy; Alban Redheuil; Nadjia Kachenoura; Greg R Fulcher; Gemma A Figtree; Stuart M Grieve
Journal:  Cardiovasc Diabetol       Date:  2016-12-22       Impact factor: 9.951

8.  Non-invasive differentiation of idiopathic inflammatory myopathy with cardiac involvement from acute viral myocarditis using cardiovascular magnetic resonance imaging T1 and T2 mapping.

Authors:  Adrian T Huber; Marine Bravetti; Jérôme Lamy; Tania Bacoyannis; Charles Roux; Alain de Cesare; Aude Rigolet; Olivier Benveniste; Yves Allenbach; Mathieu Kerneis; Philippe Cluzel; Nadjia Kachenoura; Alban Redheuil
Journal:  J Cardiovasc Magn Reson       Date:  2018-02-12       Impact factor: 5.364

Review 9.  Strain imaging using cardiac magnetic resonance.

Authors:  A Scatteia; A Baritussio; C Bucciarelli-Ducci
Journal:  Heart Fail Rev       Date:  2017-07       Impact factor: 4.214

10.  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

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