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Updated: May 16, 2025

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
Diagnostic value of cardiac magnetic resonance imaging-based left atrial strain analysis for identifying cardiac
Constantin Reichardt1, Maximilian Moos1, Tilman Emrich2
1Department for Diagnostic and Interventional Radiology, University Medical Center Mainz, Johannes Gutenberg University, Langenbeckstr. 1, 55131 Mainz, Germany.
Insights
Left atrial strain analysis using cardiac magnetic resonance (CMR) effectively detects myocardial impairments in various heart diseases, outperforming traditional volumetric and functional assessments. This advanced technique aids in diagnosing conditions like hypertensive heart disease, Fabry disease, and myocarditis.
Area of Science:
- Cardiology
- Medical Imaging
- Biomedical Engineering
Background:
- Cardiac magnetic resonance (CMR) is crucial for assessing myocardial impairments.
- Left atrial (LA) volumetry and function are key indicators of cardiac health.
- Distinguishing between various cardiomyopathies with overlapping phenotypes remains a challenge.
Purpose of the Study:
- To compare the diagnostic accuracy of CMR-based LA volumetry and function, including LA strain analysis, for detecting myocardial impairments.
- To evaluate the effectiveness of LA strain analysis in differentiating between healthy volunteers and patients with heart diseases of different etiologies.
- To assess the prognostic performance of LA strain parameters compared to volumetric and functional assessments.
Main Methods:
- A 3 Tesla (3T) CMR scan was performed on 50 healthy volunteers (HV) and 140 patients with cardiomyopathies.
- Patient groups included hypertensive heart disease (n=40), Fabry disease (n=49), and acute myocarditis (n=51).
- LA volume and strain analysis were conducted using standard long-axis cine acquisition and commercial post-processing software.
Main Results:
- Patients showed significantly impaired LA reservoir, conduit, and booster strain compared to HV (p < 0.001).
- Volumetric LA parameters did not differ significantly between patients and HV (p > 0.05).
- LA reservoir strain demonstrated superior diagnostic accuracy (AUC 0.85) compared to volumetric and functional parameters (e.g., passive emptying fraction AUC 0.78).
Conclusions:
- LA strain parameters effectively distinguish patients with cardiac diseases from healthy individuals.
- LA strain analysis outperforms traditional LA volumetric and functional assessments in diagnosing myocardial impairments.
- This technique is valuable for identifying cardiac conditions with overlapping clinical presentations.
Background:
The main objective of this study was to compare diagnostic accuracies of cardiac magnetic resonance (CMR)-based left atrial (LA) volumetry and function, including LA strain analysis, for the detection of myocardial impairments in diseases of different etiologies such as hypertensive heart disease, Fabry disease and acute myocarditis.
Methods:
Healthy volunteers (HV, n = 50) and patients with cardiomyopathies (n = 140), including patients with hypertensive heart disease (n = 40), Fabry disease (n = 49), and acute myocarditis (n = 51), underwent CMR at 3 T. Atrial volume and strain analysis based on long-axis cine acquisition was performed using a commercially available post-processing software.
Results:
Patients exhibited impaired LA reservoir (28.60 ± 9.91 % vs. 41.27 ± 7.54 %), conduit (17.35 ± 7.72 % vs. 26.89 ± 5.25 %) and booster strain (11.30 ± 4.52 % vs. 14.61 ± 4.15 %) parameters compared to HV (all p < 0.001). In contrast, the volumetric values showed no significant difference between patients and HV (p > 0.05). Passive and total emptying fractions were significantly lower in patients (p < 0.001), while active emptying fraction did not differ (p > 0.05). Superior diagnostic accuracy for the LA reservoir strain demonstrated improved prognostic performance comparing to LA volumetric and functional parameters (area under the curve [AUC] 0.85 vs. e.g. passive emptying fraction AUC 0.78, p < 0.05).
Conclusion:
LA strain parameters effectively distinguish patients with cardiac diseases presenting overlapping phenotypes from HV and outperform volumetric and traditional functional assessments of the LA.
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