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Updated: Oct 15, 2025

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
Left atrial evaluation by cardiovascular magnetic resonance: sensitive and unique biomarkers
Dana C Peters1, Jérôme Lamy1, Albert J Sinusas2
1Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Insights
Left atrial imaging using cardiovascular magnetic resonance is crucial for diagnosing heart conditions and predicting risks. Advanced techniques like feature tracking and late gadolinium enhancement offer sensitive biomarkers for conditions such as atrial fibrillation.
Area of Science:
- Cardiology
- Medical Imaging
- Biomarkers
Background:
- Left atrial (LA) imaging is underutilized despite its potential as an imaging biomarker for cardiovascular disease.
- Cardiovascular magnetic resonance (CMR) can assess LA structure and function, providing early disease indicators and prognostic information.
- LA metrics are valuable for diagnosing diastolic dysfunction and predicting atrial fibrillation (AF).
Purpose of the Study:
- To highlight the importance and clinical readiness of LA imaging biomarkers.
- To review the capabilities of CMR in evaluating LA structure, function, and fibrosis.
- To emphasize the prognostic value of LA imaging in various cardiovascular conditions.
Main Methods:
- Utilizing cardiovascular magnetic resonance (CMR) for LA imaging.
- Employing MR angiography for atrial anatomy assessment.
- Analyzing long-axis cine images for LA volumes and ejection fractions (EFs).
- Applying feature tracking for longitudinal LA strain analysis.
- Using high-resolution late gadolinium enhancement (LGE) for LA fibrosis and scar evaluation.
Main Results:
- LA structure and function metrics from CMR serve as early disease indicators.
- LA strain is a sensitive marker predicting post-operative AF, AF recurrence, and outcomes in hypertrophic cardiomyopathy.
- LA LGE effectively estimates fibrosis and evaluates post-ablation scar, with good reproducibility.
- LA fibrosis evaluation predicts AF recurrence and new-onset AF, as well as diastolic dysfunction.
Conclusions:
- LA imaging biomarkers, including strain and LGE, are ready for clinical practice.
- CMR-derived LA metrics provide crucial prognostic information for various cardiovascular conditions.
- LA imaging plays a vital role in risk stratification and guiding treatment, such as AF ablation procedures.
Abstract:
Left atrial (LA) imaging is still not routinely used for diagnosis and risk stratification, although recent studies have emphasized its importance as an imaging biomarker. Cardiovascular magnetic resonance is able to evaluate LA structure and function, metrics that serve as early indicators of disease, and provide prognostic information, e.g. regarding diastolic dysfunction, and atrial fibrillation (AF). MR angiography defines atrial anatomy, useful for planning ablation procedures, and also for characterizing atrial shapes and sizes that might predict cardiovascular events, e.g. stroke. Long-axis cine images can be evaluated to define minimum, maximum, and pre-atrial contraction LA volumes, and ejection fractions (EFs). More modern feature tracking of these cine images provides longitudinal LA strain through the cardiac cycle, and strain rates. Strain may be a more sensitive marker than EF and can predict post-operative AF, AF recurrence after ablation, outcomes in hypertrophic cardiomyopathy, stratification of diastolic dysfunction, and strain correlates with atrial fibrosis. Using high-resolution late gadolinium enhancement (LGE), the extent of fibrosis in the LA can be estimated and post-ablation scar can be evaluated. The LA LGE method is widely available, its reproducibility is good, and validations with voltage-mapping exist, although further scan-rescan studies are needed, and consensus regarding atrial segmentation is lacking. Using LGE, scar patterns after ablation in AF subjects can be reproducibly defined. Evaluation of 'pre-existent' atrial fibrosis may have roles in predicting AF recurrence after ablation, predicting new-onset AF and diastolic dysfunction in patients without AF. LA imaging biomarkers are ready to enter into diagnostic clinical practice.
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