ArticleEuropean journal of radiology open2022
Imaging of arrhythmia: Real-time cardiac magnetic resonance imaging in atrial fibrillation.
Article in European journal of radiology open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
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Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.
- Left atrial volume quantification by transthoracic echocardiography versus cardiovascular magnetic resonance: a systematic review and meta-analysis.The international journal of cardiovascular imaging · 2025Pooled it
- 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
- Generative MR Multitasking With Complex-Harmonic Cardiac Encoding: Bridging the Gap Between Gated Imaging and Real-Time Imaging.Magnetic resonance in medicine · 2026Article
- Free-Breathing Dynamic, Regularized, Adaptive Cluster Optimization (DRACO) Cine Cardiac MRI in Atrial Fibrillation.Journal of magnetic resonance imaging : JMRI · 2026Article
- Ratio of Left Atrial and Ventricular Volume as New Marker of Atrial Cardiopathy and Stroke Risk.Stroke · 2026Article
- Phase-Pole-Free Images and Smooth Coil Sensitivity Maps by Regularized Nonlinear Inversion.Magnetic resonance in medicine · 2026Article
- Highly Accelerated Real-time Cine MRI Pulse Sequence for Cardiac Implantable Electronic Devices and Arrhythmias.Radiology. Cardiothoracic imaging · 2025Article
- Comprehensive Assessment of Left Atrial Function: The Emerging Role of Cardiac Magnetic Resonance Feature Tracking.Journal of cardiovascular development and disease · 2025Review
- Concomitant Diabetes and Atrial Fibrillation: Epicardial Fat and Macrophage-Related Mechanisms.Diabetes/metabolism research and reviews · 2025Review
- Improving ungated steady-state cardiac perfusion using transition bands.Magnetic resonance in medicine · 2025Article
- Free-breathing, Highly Accelerated, Single-beat, Multisection Cardiac Cine MRI with Generative Artificial Intelligence.Radiology. Cardiothoracic imaging · 2025Article
- Retrospective temporal resolution interpolation alters myocardial strain quantification on compressed sensing cine CMR.The international journal of cardiovascular imaging · 2025Article
- Dynamic Regularized Adaptive Cluster Optimization (DRACO) for Quantitative Cardiac Cine MRI in Complex Arrhythmias.Journal of magnetic resonance imaging : JMRI · 2025Article
- Case Report: Hemodynamic consequences of severe supraventricular arrhythmia assessed by real-time magnetic resonance imaging in combination with electrocardiography.Frontiers in cardiovascular medicine · 2025Article
- Comprehensive review of artifacts in cardiac MRI and their mitigation.The international journal of cardiovascular imaging · 2024Review
- ECG-free cine MRI with data-driven clustering of cardiac motion for quantification of ventricular function.NMR in biomedicine · 2024Article
- Atrial secondary tricuspid regurgitation: pathophysiology, definition, diagnosis, and treatment.European heart journal · 2024Article
- Assessment of deep learning segmentation for real-time free-breathing cardiac magnetic resonance imaging at rest and under exercise stress.Scientific reports · 2024Article
- Cardiac Magnetic Resonance Imaging in Heart Failure.Cardiovascular innovations and applications · 2024Article
- The future of CMR: All-in-one vs. real-time CMR (Part 2).Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024Review
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Quantitative evaluations of function, volume and mass are fundamental in the diagnostic workup of different cardiovascular diseases and can be exactly determined by CMRI in sinus rhythm. This does not hold true in arrhythmia as CMR is hampered by reconstruction artifacts caused by inconsistent data from multiple heartbeats. Real-time (RT) MRI at high temporal resolution might reduce these problems. Methods: Consecutive patients with atrial fibrillation were prospectively included and underwent RT and conventional CINE CMR in randomized order. 29 patients were studied at 1.5 T and 30 patients at 3 T. At 3 T a group of 20 subjects in sinus rhythm served as controls. RT and CINE image quality was evaluated in different planes and for different wall sections using a Likert scale (from zero to four). Volumetric analysis was performed using two types of software and differences between RT and CINE CMR were evaluated. Results: In patients with atrial fibrillation RT CMR short axis (SA) resulted in a significantly higher image quality compared to CINE imaging both at 1.5 T and 3 T (1.5 T: mid SA: 3.55 ± 0.5 RT vs 2.6 ± 0.9 CINE, p = 0.0001; 3 T: mid SA: 3.15 ± 0.9 RT vs 2.6 ±1.0 CINE, p = 0.03); This qualitative difference was more marked and significant for the long axis views (2CV and 4CV) at 1.5 T (1.5 T: 2CV: 3.2 ± 0.6 RT vs 2.65 ± 1.1 CINE; p = 0.011; 4CV: 2.9 ± 0.69 RT vs 2.4 ± 0.9 CINE; p = 0.0044). During sinus rhythm CINE images were superior concerning diagnostic quality (3 T mid SA: 3.35 ± 0.45 RT vs 3.8 ± 0.5 CINE, p = 0.008). Quantitative analysis was successful with both software packages and the results showed a good correlation (Pearson correlation between 0.679 and 0.921 for patients). RT CMR resulted in slightly lower functional volumes than CINE CMR (3 T: patients: EDVI 86 ± 29 ml/m Conclusion: RT CMR improves image quality in arrhythmic patients and renders studies more comfortable. Volumetric analysis is feasible with slightly lower values relative to CINE CMR, while ejection fractions are comparable.
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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.