Detection of brain lesions after catheter ablation depends on imaging criteria: insights from AXAFA-AFNET 5 trial
Year: 2023
Type: article
Abstract: AIMS: Left atrial catheter ablation is well established in patients with symptomatic atrial fibrillation (AF) but associated with risk of embolism to the brain. The present analysis aims to assess the impact of diffusion-weighted imaging (DWI) slice thickness on the rate of magnetic resonance imaging (MRI)-detected ischaemic brain lesions after ablation. METHODS AND RESULTS: AXAFA-AFNET 5 trial (NCT02227550) participants underwent MRI using high-resolution (hr) DWI (slice thickness: 2.5-3 mm) and standard DWI (slice thickness: 5-6 mm) within 3-48 h after ablation. In 321 patients with analysable brain MRI (mean age 64 years, 33% female, median CHA2DS2-VASc 2), hrDWI detected at least one acute brain lesion in 84 (26.2%) patients and standard DWI in 60 (18.7%; P < 0.01) patients. High-resolution diffusion-weighted imaging detected more lesions compared to standard DWI (165 vs. 104; P < 0.01). The degree of agreement for lesion confirmation using hrDWI vs. standard DWI was substantial (κ = 0769). Comparing the proportion of DWI-detected lesions, lesion distribution, and total lesion volume per patient, there was no difference in the cohort of participants undergoing MRI at 1.5 T (n = 52) vs. 3 T (n = 269). CONCLUSION: The pre-specified AXAFA-AFNET 5 sub-analysis revealed significantly increased rates of MRI-detected acute brain lesions using hrDWI instead of standard DWI in AF patients undergoing ablation. In comparison to DWI slice thickness, MRI field strength had a no significant impact in the trial. Comparing the varying rates of ablation-related MRI-detected brain lesions across previous studies has to consider these technical parameters. Future studies should use hrDWI, as feasibility was demonstrated in the multicentre AXAFA-AFNET 5 trial.
Source: EP Europace
Authors: Karl Georg Haeusler, Felizitas A Eichner, Peter U Heuschmann, Jochen B Fiebach, Tobias Engelhorn, David Callans, Tom De Potter, Philippe Debruyne, Daniel Scherr, Gerhard Hindricks, Hussein R Al-Khalidi, Lluis Mont, Won Yong Kim, Jonathan P Piccini, Ulrich Schotten, Sakis Themistoclakis, Luigi Di Biase, Paulus Kirchhof
Institutions: University of Würzburg, Atrial Fibrillation NETwork, Universitätsklinikum Würzburg, Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Friedrich-Alexander-Universität Erlangen-Nürnberg, Hospital of the University of Pennsylvania, Onze Lieve Vrouwziekenhuis Hospital, Imelda Hospital, University of Graz, Medical University of Graz, Deutsches Herzzentrum der Charité, Duke University, Hospital Clínic de Barcelona, Consorci Institut D'Investigacions Biomediques August Pi I Sunyer, Universitat de Barcelona, Aarhus University Hospital, Duke Medical Center, Maastricht University, Ospedale dell' Angelo, Albert Einstein College of Medicine, St David's Medical Center, Texas Cardiac Arrhythmia, University Medical Center Hamburg-Eppendorf, German Centre for Cardiovascular Research, University of Birmingham
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,518
Awards: G1357640399, Understanding the function of PITX2 in the adult left atrium, G3147825888, G315582519, Big Data 4 Better Hearts - Sofia ref.: 116074, G4415518382, G4703545176, G5112197684, Characterizing Atrial fibrillation by Translating its Causes into Health Modifiers in the Elderly, G8058140403, G8348474022, G8737466616
OpenAlex ID: W4388007221
