Trial reportCirculation2009
Detection and quantification of left atrial structural remodeling with delayed-enhancement magnetic resonance imaging in patients with atrial fibrillation.
Trial report in Circulation, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 6 registered trials, which are not on this map. Cited by 465 papers, 7 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
DECAAF: DE-MRI Determinant of Successful Radiofrequency Catheter Ablation of Atrial Fibrillation
SOAR: Study Observing Antiarrhythmic Remodelling Using LGE-MRI
RADAR: Effect of Structural Remodeling on Scar Formation as Assessed by DE-MRI of the Left Atrium Following Open-Irrigation Cooled-Tip Radiofrequency Catheter Ablation of Paroxysmal Atrial Fibrillation
A Prospective Randomized Study of a Novel Individualized Substrate Modification Approach Versus Stepwise Ablation for the Treatment of Long-standing Persistent Atrial Fibrillation
Individually DEsigned Ablation of Low Voltage Areas in Patients With Persistent Atrial Fibrillation, a Randomized Controlled Multicenter Trial
Atrial Fibrosis in Obstructive Sleep Apnea Patients: A Pilot Study
Who cites it
465 citing papers in PubMed, 7 syntheses or guidelines pooled it, 1,107 citations in OpenAlex.
- The prognostic value of left atrial low-voltage areas in atrial fibrillation recurrence after pulmonary vein isolation: a systematic review and meta-analysis.BMC cardiovascular disorders · 2026Pooled it
- Prevalence and multiple predictors of left atrial low voltage in paroxysmal and non-paroxysmal atrial fibrillation patients undergoing ablation: a systematic review and meta-analysis.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025Pooled it
- Assessment of Left Atrial Fibrosis by Cardiac Magnetic Resonance Imaging in Ischemic Stroke Patients Without Atrial Fibrillation: A Systematic Review and Meta-Analysis.Journal of the American Heart Association · 2024Pooled it
- Atrial Fibrillation Termination as a Predictor for Persistent Atrial Fibrillation Ablation: A Systemic Review and Meta-Analysis of Prospective Studies.Cardiovascular therapeutics · 2024Pooled it
- Prediction of Recurrence of Atrial Fibrillation Post-ablation Based on Atrial Fibrosis Seen on Late Gadolinium Enhancement MRI: A Metaanalysis.Current cardiology reviews · 2023Pooled it
- Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review.Medical image analysis · 2022Pooled it
- A systematic review and meta-analysis of the safety and efficacy of left atrial substrate modification in atrial fibrillation patients with low voltage areas.Frontiers in cardiovascular medicine · 2022Pooled it
- Low-voltage-area ablation for persistent atrial fibrillation: a randomized controlled trial.Nature medicine · 2025Trial
- Body mass index as a determinant of scar formation post-AF ablation: Insights from DECAAF II.Journal of cardiovascular electrophysiology · 2024Trial
- Late Gadolinium Enhancement of Nonischemic Cardiomyopathy at 5.0 T versus 3.0 T: A Crossover Design Study.Radiology. Cardiothoracic imaging · 2024Trial
- Effect of fibrosis regionality on atrial fibrillation recurrence: insights from DECAAF II.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023Trial
- Left Atrial Function Predicts Atrial Arrhythmia Recurrence Following Ablation of Long-Standing Persistent Atrial Fibrillation.Circulation. Cardiovascular imaging · 2023Trial
- Clinical efficacy of "ICE-FIRE" ablation for non-paroxysmal atrial fibrillation.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2021Trial
- Understanding atrial failure: from diagnosis to clinical implications.Nature reviews. Cardiology · 2026Review
- Atrial Fibrosis Imaging: Correlation of Late Gadolinium Enhancement Magnetic Resonance Imaging With High-Definition Voltage Electroanatomical Mapping Across Different Thresholds.Journal of cardiovascular electrophysiology · 2026Article
- Atrial Substrate Progression in AF Patients: Insights From Unipolar Mapping.Pacing and clinical electrophysiology : PACE · 2026Article
- Three-Dimensional Left Atrial Geometry in Atrial Fibrillation: Imaging Biomarkers, Substrate Phenotyping, and Ablation Outcome Prediction.Diagnostics (Basel, Switzerland) · 2026Review
- Substrate Unmasking via High-Density Omnipolar Mapping Under Rapid Pacing in Atrial Fibrillation.Journal of cardiovascular electrophysiology · 2026Article
- Atrial Fibrillation Risk Management and Emerging Therapies.Journal of clinical medicine · 2026Review
- The prevalence, distribution and ablation of non-pulmonary vein triggers in older patients with paroxysmal atrial fibrillation.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026Article
405 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 1 institution in 1 country.
Funding
Abstract
backgroundAtrial fibrillation (AF) is associated with diffuse left atrial fibrosis and a reduction in endocardial voltage. These changes are indicators of AF severity and appear to be predictors of treatment outcome. In this study, we report the utility of delayed-enhancement magnetic resonance imaging (DE-MRI) in detecting abnormal atrial tissue before radiofrequency ablation and in predicting procedural outcome. METHODS AND
resultsEighty-one patients presenting for pulmonary vein antrum isolation for treatment of AF underwent 3-dimensional DE-MRI of the left atrium before the ablation. Six healthy volunteers also were scanned. DE-MRI images were manually segmented to isolate the left atrium, and custom software was implemented to quantify the spatial extent of delayed enhancement, which was then compared with the regions of low voltage from electroanatomic maps from the pulmonary vein antrum isolation procedure. Patients were assessed for AF recurrence at least 6 months after pulmonary vein antrum isolation, with an average follow-up of 9.6+/-3.7 months (range, 6 to 19 months). On the basis of the extent of preablation enhancement, 43 patients were classified as having minimal enhancement (average enhancement, 8.0+/-4.2%), 30 as having moderate enhancement (21.3+/-5.8%), and 8 as having extensive enhancement (50.1+/-15.4%). The rate of AF recurrence was 6 patients (14.0%) with minimal enhancement, 13 (43.3%) with moderate enhancement, and 6 (75%) with extensive enhancement (P<0.001).
conclusionsDE-MRI provides a noninvasive means of assessing left atrial myocardial tissue in patients suffering from AF and might provide insight into the progress of the disease. Preablation DE-MRI holds promise for predicting responders to AF ablation and may provide a metric of overall disease progression.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.