ArticleScientific reports2022
Multi-parametric analyses to investigate dependencies of normal left atrial strain by cardiovascular magnetic resonance feature tracking.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 6 citations in OpenAlex.
- Prognostic impact of cardiovascular magnetic resonance-derived left atrioventricular coupling Index in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement.European heart journal. Imaging methods and practice · 2026Article
- CMR-based left atrial strain for predicting left ventricular diastolic dysfunction in asymptomatic hypertensive patients.Quantitative imaging in medicine and surgery · 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
- How can the left atrial strain be correctly determined by cardiovascular magnetic resonance feature tracking?Frontiers in cardiovascular medicine · 2025Article
- The Effect of Upright Posture on Left Atrial Strain in Competitive Athletes.Journal of cardiovascular development and disease · 2024Article
- Assessment of pulmonary artery stiffness by multiparametric cardiac magnetic resonance-surrogate for right heart catheterization.Frontiers in cardiovascular medicine · 2023Article
- Interaction Effects of Age and Sex on Left Atrial Phasic Function in Patients with ST-Elevation Myocardial Infarction: A Two-dimensional Speckle-tracking Echocardiography.Journal of cardiovascular echographyArticle
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Left-atrial (LA) strain is the result of complex hemodynamics, which may be better characterized using a multiparametric approach. Cardiovascular magnetic resonance (CMR) feature tracking was used to perform a comprehensive LA strain assessment of 183 enrolled healthy volunteers (11-70 years, 97 females, median 32.9 ± 28.3 years). Novel strain dependencies were assessed using multi-parametric regression (MPR) analyses. LA volumetric data, left ventricular strain, transmitral and pulmonary venous blood flow parameters were utilized to create clusters for MPR of all subjects and a heart rate controlled subgroup (pulse: 60-75/min, N = 106). The LA reservoir(r) and conduit(c) strains of the total cohort were significantly elevated (p ≤ 0.001) in women (r: 49.7 ± 12.9%, c: 32.0 ± 11.0%) compared to men (r: 42.9 ± 11.4%, c: 26.1 IQ 10.5%). In contrast, there were no gender-specific differences (p > 0.05) for subgroup LA reservoir, conduit and booster(b) strains (all, r: 47.3 ± 12.7%; c: 29.0 IQ 15.5%; b: 17.6 ± 5.4%) and strain rates (all, 2.1 IQ 1.0 s
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