Atrial cardiac magnetic resonance imaging
Diagnostic TestTo include assessment of atrial size, shape, function, fibrosis and fat
NCT Number: NCT05057507
The aim of this research is to classify patients by the dominant mechanism of continuous atrial electrical activation during atrial fibrillation. This approach seeks to improve on existing classifications which are based solely on the duration of the arrhythmia (<7 days, >7 days and >1 year). This is a cohort study. Patients undergoing clinically indicated electrophysiology study or AF ablation will have invasive assessment of cardiac electrophysiological profile at the time of their planned procedure, undergo 2-week ambulatory monitoring before and after the procedure, complete symptom questionnaires before and after their procedure and undergo atrial cardiac magnetic resonance imaging before their procedure.
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Notify Me18 year–80 year
All sexes
Observational
NHS Lothian, Edinburgh, United Kingdom
Atrial fibrillation is a common condition causing an irregular heartbeat, breathlessness and tiredness. Atrial fibrillation occurs owing to abnormalities in the electrical circuits controlling the upper heart chambers. Atrial fibrillation can be treated with a keyhole procedure called ablation. During ablation small areas in the heart are burnt away to stop the abnormal circuits causing atrial fibrillation. Unfortunately, ablation only works for 50-90% of people. We are not sure why, but possibly because the electrical circuits responsible are different in every heart. This research will examine how these electrical circuits can be identified and treated. A new system using computer modelling will be developed to identify the electrical circuits present. In the future we hope this approach could be used to design tailor-made treatments for each patient. A combination of computer studies and studies involving patients will be used to test this new approach in this study. For this study patients who are already planned to undergo an ablation procedure will be recruited providing data for three Work Packages. Consent will be sought to access routine investigations and data for research purposes (e.g. ECGs, blood tests, ambulatory monitoring, cardiac imaging, and outpatient clinical assessment); and collect extra data for research including additional cardiac imaging, a 2-week heart monitor pre- and post-ablation, and extra electrical measurements made during the ablation procedure.
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
To include assessment of atrial size, shape, function, fibrosis and fat
To include assessment of atrial voltage and local activation time
To include assessment of atrial fibrillation symptoms and quality of life
To assess atrial fibrillation burden post-ablation
Time frame: 4 years
The primary outcome is the creation of patient specific computational models for the investigation of atrial fibrillation mechanisms in patients. Mechanisms of atrial fibrillation will be defined based on computational modelling results and each patient will be assigned to the dominant mechanism of atrial fibrillation present.
Time frame: 4 years
The secondary outcome (1) is to determine which atrial properties are associated with each mechanism of atrial fibrillation in patients. Atrial structural and functional properties will be measured using atrial magnetic resonance imaging and invasive atrial electrophysiology; and quantified as follows: Atrial structure - volume (ml), sphericity (%); fibrosis burden (%); pericardial fat volume (ml); Atrial function - conduction velocity (m/s); refractoriness (ms); atrial electrical area (cm).
Time frame: 4 years
The secondary outcome (2) is to determine how atrial properties can be modified using currently-available therapies to improve treatment for atrial fibrillation. Computer simulations will be performed in which the critical atrial properties (as defined in Outcome 2) are modified and actual treatment response will be compared to predicted treatment response by (A) correlating actual atrial fibrillation burden (% time in atrial fibrillation) with predicted atrial fibrillation burden (% time in atrial fibrillation) and (B) calculating diagnostic accuracy metrics (sensitivity, specificity, C-statistic) for prediction of atrial fibrillation inducibility and recurrence following ablation.
University of Edinburgh
Other
Acronym: ReCETT-AF
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