ArticleBMC medical imaging2020
Quantification of epicardial fat using 3D cine Dixon MRI.
Article in BMC medical imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 24 citations in OpenAlex.
- Epicardial and pericardial adipose tissue: anatomy, physiology, imaging, segmentation, and treatment effects.The British journal of radiology · 2026Review
- Mediastinal adipose tissue as an active player in cardiovascular disease: a multimodality imaging narrative review.Quantitative imaging in medicine and surgery · 2026Review
- Research on epicardial adipose tissue as a metabolic therapeutic target in AF: focus on GLP-1 receptor agonists.Frontiers in cardiovascular medicine · 2026Review
- Pharmacological and Non-Pharmacological Interventions in Diabetes Mellitus: Effects on Epicardial Adipose Tissue.International journal of molecular sciences · 2025Review
- AI-Driven segmentation and morphogeometric profiling of epicardial adipose tissue in type 2 diabetes.Cardiovascular diabetology · 2025Article
- Fatty acid composition MRI of epicardial adipose tissue: Methods and detection of proinflammatory biomarkers in ST-segment elevation myocardial infarction patients.Magnetic resonance in medicine · 2025 · on this mapArticle
- Excessive accumulation of epicardial adipose tissue promotes microvascular obstruction formation after myocardial ischemia/reperfusion through modulating macrophages polarization.Cardiovascular diabetology · 2024Article
- Trajectory correction enables free-running chemical shift encoded imaging for accurate cardiac proton-density fat fraction quantification at 3T.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024 · on this mapArticle
- MR Multitasking-based multi-dimensional assessment of cardiovascular system (MT-MACS) with extended spatial coverage and water-fat separation.Magnetic resonance in medicine · 2023Article
- Epicardial Adipose Tissue as an Independent Cardiometabolic Risk Factor for Coronary Artery Disease.Cureus · 2022Review
- Quantification of liver fat deposition in obese and diabetic patients: A pilot study on the correlation with myocardium and periapical fat content.Liver research (Beijing, China) · 2022Article
- Fat chance for POAF? Pericardial adipose tissue and the arrhythmogenic substrate for postoperative atrial fibrillation.International journal of cardiology. Heart & vasculature · 2022Article
- Deep-Learning Segmentation of Epicardial Adipose Tissue Using Four-Chamber Cardiac Magnetic Resonance Imaging.Diagnostics (Basel, Switzerland) · 2022Article
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Authors and funding
6 authors at 1 institution in 2 countries.
Funding
Abstract
backgroundThere is an increased interest in quantifying and characterizing epicardial fat which has been linked to various cardiovascular diseases such as coronary artery disease and atrial fibrillation. Recently, three-dimensional single-phase Dixon techniques have been used to depict the heart and to quantify the surrounding fat. The purpose of this study was to investigate the merits of a new high-resolution cine 3D Dixon technique for quantification of epicardial adipose tissue and compare it to single-phase 3D Dixon in patients with cardiovascular disease.
methodsFifteen patients referred for clinical CMR examination of known or suspected heart disease were scanned on a 1.5 T scanner using single-phase Dixon and cine Dixon. Epicardial fat was segmented by three readers and intra- and inter-observer variability was calculated per slice. Cine Dixon segmentation was performed in the same cardiac phase as single-phase Dixon. Subjective image quality assessment of water and fat images were performed by three readers using a 4-point Likert scale (1 = severe; 2 = significant; 3 = mild; 4 = no blurring of cardiac structures).
resultsIntra-observer variability was excellent for cine Dixon images (ICC = 0.96), and higher than single-phase Dixon (ICC = 0.92). Inter-observer variability was good for cine Dixon (ICC = 0.76) and moderate for single-phase Dixon (ICC = 0.63). The intra-observer measurement error (mean ± standard deviation) per slice for cine was - 0.02 ± 0.51 ml (- 0.08 ± 0.4%), and for single-phase 0.39 ± 0.72 ml (0.18 ± 0.41%). Inter-observer measurement error for cine was 0.46 ± 0.98 ml (0.11 ± 0.46%) and for single-phase 0.42 ± 1.53 ml (0.17 ± 0.47%). Visual scoring of the water image yielded median of 2 (interquartile range = [Q3-Q1] 2-2) for cine and median of 3 (interquartile range = 3-2) for single-phase (P < 0.05) while no significant difference was found for the fat images, both techniques yielding a median of 3 and interquartile range of 3-2.
conclusionCine Dixon can be used to quantify epicardial fat with lower intra- and inter-observer variability compared to standard single-phase Dixon. The time-resolved information provided by the cine acquisition appears to support the delineation of the epicardial adipose tissue depot.
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