ArticleEuropean heart journal. Cardiovascular Imaging2022
Quantification of left atrial fibrosis by 3D late gadolinium-enhanced cardiac magnetic resonance imaging in patients with atrial fibrillation: impact of different analysis methods.
Article in European heart journal. Cardiovascular Imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.
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Who cites it
37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.
- Regionalization of the atria for 3D electroanatomical mapping, cardiac imaging, and computational modelling: a clinical consensus statement of the European Heart Rhythm Association and the European Association of Cardiovascular Imaging of the ESC.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 · 2025Guideline
- SCMR expert consensus statement for cardiovascular magnetic resonance of patients with a cardiac implantable electronic device.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024Guideline
- Performance of Image-navigated and Diaphragm-navigated 3D Late Gadolinium-enhanced Cardiac MRI for the Assessment of Atrial Fibrosis.Radiology. Cardiothoracic imaging · 2024Trial
- Multimodal Characterization of Atrial Fibrillation: From Patient-Specific Anatomy and Electrophysiology to Standardized Atrial Mapping.Tomography (Ann Arbor, Mich.) · 2026Review
- Three-Dimensional Left Atrial Geometry in Atrial Fibrillation: Imaging Biomarkers, Substrate Phenotyping, and Ablation Outcome Prediction.Diagnostics (Basel, Switzerland) · 2026Review
- Ablation lesion patterns in atrial fibrillation: A cardiac MRI comparison of different ablation strategies.Heart rhythm O2 · 2026Article
- Linking patent foramen ovale with atrial cardiomyopathy: a narrative review of clinical signals, electrophysiology, and translational opportunities.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026Review
- Development of Diagnostic Support Software for Phase Estimation of Intracerebral Hemorrhage Using Multi-sequence Magnetic Resonance Imaging.Neurologia medico-chirurgica · 2026Article
- Comparative cardiac electrophysiological analysis between sinus rhythm and atrial fibrillation: The correlation of left atrial low-voltage substrate of sex and rhythm.Heart rhythm O2 · 2026Article
- Real-time magnetic resonance-guided radiofrequency ablation and lesion evaluation in an magnetic resonance-compatible isolated beating pig heart platform.Heart rhythm O2 · 2025Article
- Assessment of Left Atrial Fibrosis With Cardiac MRI.Journal of magnetic resonance imaging : JMRI · 2025Article
- Cardiac magnetic resonance imaging-derived atrial fibrosis in patients with pre-atrial fibrillation.Open heart · 2025Article
- Atrial cardiomyopathy: From healthy atria to atrial failure. A clinical consensus statement of the Heart Failure Association of the ESC.European journal of heart failure · 2025Article
- 2025 THRS Expert Consensus of Imaging Assessment in Atrial Fibrillation.Acta Cardiologica Sinica · 2025Article
- Automatic Bi-Atrial Segmentation and Biomarker Extraction from Late Gadolinium-Enhanced MRI Using Deep Learning.Expert systems with applications · 2025Article
- Atrial Cardiomyopathy in Atrial Fibrillation: Mechanistic Pathways and Emerging Treatment Concepts.Journal of clinical medicine · 2025Review
- Ablation of Ventricular and Atrial Arrhythmias in the Era of Cardiac Magnetic Resonance.Echocardiography (Mount Kisco, N.Y.) · 2025Review
- Catheter Ablation of Atrial Fibrillation: Technique and Future Perspectives.Journal of clinical medicine · 2025Review
- Novel Self-Calibrated Threshold-Free Probabilistic Fibrosis Signature Technique for 3D Late Gadolinium Enhancement MRI.IEEE transactions on bio-medical engineering · 2025Article
- Comparison of LGE MRI Scar Identification Methods for Atrial Computational Modeling.Computing in cardiology · 2025Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsVarious methods and post-processing software packages have been developed to quantify left atrial (LA) fibrosis using 3D late gadolinium-enhancement cardiac magnetic resonance (LGE-CMR) images. Currently, it remains unclear how the results of these methods and software packages interrelate. METHODS AND
resultsForty-seven atrial fibrillation (AF) patients underwent 3D-LGE-CMR imaging prior to their AF ablation. LA fibrotic burden was derived from the images using open-source CEMRG software and commercially available ADAS 3D-LA software. Both packages were used to calculate fibrosis based on the image intensity ratio (IIR)-method. Additionally, CEMRG was used to quantify LA fibrosis using three standard deviations (3SD) above the mean blood pool signal intensity. Intraclass correlation coefficients were calculated to compare LA fibrosis quantification methods and different post-processing software outputs. The percentage of LA fibrosis assessed using IIR threshold 1.2 was significantly different from the 3SD-method (29.80 ± 14.15% vs. 8.43 ± 5.42%; P < 0.001). Correlation between the IIR-and SD-method was good (r = 0.85, P < 0.001) although agreement was poor [intraclass correlation coefficient (ICC) = 0.19; P < 0.001]. One-third of the patients were allocated to a different fibrosis category dependent on the used quantification method. Fibrosis assessment using CEMRG and ADAS 3D-LA showed good agreement for the IIR-method (ICC = 0.93; P < 0.001).
conclusionsBoth, the IIR1.2 and 3SD-method quantify atrial fibrotic burden based on atrial wall signal intensity differences. The discrepancy in the amount of LA fibrosis between these methods may have clinical implications when patients are classified according to their fibrotic burden. There was no difference in results between post-processing software packages to quantify LA fibrosis if an identical quantification method including the threshold was used.
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