- Poster presentation
- Open Access
Clinical applicability of cardiac magnetic resonance feature tracking analysis in patients with atrial fibrillation undergoing ablation
© Ceelen et al.; licensee BioMed Central Ltd. 2014
- Published: 16 January 2014
- Atrial Fibrillation
- Cardiovascular Magnetic Resonance
- Cardiac Magnetic Resonance
- Atrial Fibrillation Patient
- Pulmonary Vein Isolation
Catheter-based ablation techniques are widely applied in the restoration of sinus rhythm. The latter may result in an improvement of left heart function in patients with atrial fibrillation (AF). Cardiovascular magnetic resonance (CMR) feature tracking (FT) might help detect subtle wall-motion abnormalities. We aimed to analyze existence and reversibility of subtle cardiac dysfunction following atrial fibrillation ablation.
17 patients (61%) were free from AF at follow-up. Bland-Altman analysis showed good coefficients of variation. Of all 195 parameters, 27 changed (14%): 9 improved significantly (5%), 12 worsened significantly (6%), whereas 6 parameters worsened not significantly (3%). 18 of 120 systolic parameters changed (15%), 14 worsened (12%), 4 improved (3%). In 9 of 75 diastolic parameters, values changed (12%): 5 improved (7%) and 4 worsened (5%). Meta-analysis revealed that our collective's FT values at baseline did not differ significantly from healthy volunteers' values (Q values of 0.01 [p value 0.921] and 1.499 [p value 0.221]).
AF patients undergoing ablation appear to have near normal cardiac wall motion, which does not improve following successful ablation. Feature tracking analysis is a reliable tool to determine treatment effects but is more likely to show positive findings if the population is unhealthy.
This work forms part of the research themes contributing to the translational research portfolio of Barts Cardiovascular Biomedical Research Unit which is supported and funded by the National Institute for Health Research.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.