ArticleAcademic radiology2010
Relationship between coronary artery disease and epicardial adipose tissue quantification at cardiac CT: comparison between automatic volumetric measurement and manual bidimensional estimation.
Article in Academic radiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06557811 (Effect of Oral Semaglutide on Epicardial and Pericoronary Adipose Tissues in Type 2 Diabetes After Myocardial Infarction), which is not on this map. Cited by 21 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effect of Oral Semaglutide on Epicardial and Pericoronary Adipose Tissues in Type 2 Diabetes After Myocardial Infarction: a Randomized and Double-blind Clinical Trial
Who cites it
21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 45 citations in OpenAlex.
- Pooled it
- Prognostic value of epicardial fat volume measurements by computed tomography: a systematic review of the literature.European radiology · 2015 · on this mapPooled it
- The relation of location-specific epicardial adipose tissue thickness and obstructive coronary artery disease: systemic review and meta-analysis of observational studies.BMC cardiovascular disorders · 2014Pooled it
- Deep learning for opportunistic, end-to-end automated assessment of epicardial adipose tissue in pre-interventional, ECG-gated spiral computed tomography.Insights into imaging · 2024Article
- Increased epicardial adipose tissue volume may adversely affect outcomes in patients undergoing transcatheter aortic valve implantation.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2024Article
- Opportunistic screening at chest computed tomography: literature review of cardiovascular significance of incidental findings.Cardiovascular diagnosis and therapy · 2023Review
- Novel imaging biomarkers: epicardial adipose tissue evaluation.The British journal of radiology · 2020 · on this mapReview
- Greasing the Skids: Deep Learning for Fully Automated Quantification of Epicardial Fat.Radiology. Artificial intelligence · 2019Article
- Development and evaluation of a method for segmentation of cardiac, subcutaneous, and visceral adipose tissue from Dixon magnetic resonance images.Journal of medical imaging (Bellingham, Wash.) · 2019Article
- Simple quantification of paracardial and epicardial fat dimensions at low-dose chest CT: correlation with metabolic risk factors and usefulness in predicting metabolic syndrome.Japanese journal of radiology · 2018Article
- Is echocardiographic epicardial fat thickness increased in patients with coronary artery disease? A systematic review and meta-analysis.Electronic physician · 2018Article
- Assosiation of Epicardial and Pericardial Fat Thickness with Coronary Artery Disease.Electronic physician · 2016Article
- Relationship between indexed epicardial fat volume and coronary plaque volume assessed by cardiac multidetector CT.Medicine · 2016Article
- Relationship between epicardial fat and quantitative coronary artery plaque progression: insights from computer tomography coronary angiography.The international journal of cardiovascular imaging · 2016Article
- Automated pericardial fat quantification from coronary magnetic resonance angiography: feasibility study.Journal of medical imaging (Bellingham, Wash.) · 2016Article
- Epicardial adipose tissue: far more than a fat depot.Cardiovascular diagnosis and therapy · 2014Review
- Automated quantification of epicardial adipose tissue using CT angiography: evaluation of a prototype software.European radiology · 2014Article
- Epicardial adipose tissue: relationship between measurement location and metabolic syndrome.The international journal of cardiovascular imaging · 2014Article
- Epicardial and thoracic fat - Noninvasive measurement and clinical implications.Cardiovascular diagnosis and therapy · 2012Review
- Weight change modulates epicardial fat burden: a 4-year serial study with non-contrast computed tomography.Atherosclerosis · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
RATIONALE AND
objectivesThe aim of this study was to compare the reproducibility of bidimensional and volumetric quantification of epicardial adipose tissue (EAT) on cardiac computed tomography (CT) and evaluate their relationship with the extent of coronary artery disease (CAD). MATERIALS AND
methodsForty-five individuals underwent cardiac dual-source CT and conventional coronary angiography for suspicion of CAD. Nonenhanced images acquired to assess calcium score were used to quantify EAT. Coronary stenosis grading was performed on conventional coronary angiograms using Gensini scores. Two independent observers manually measured right ventricular EAT thickness at three different levels and in two different planes (four chamber and short axis) to obtain mean values. Additionally, EAT volume was automatically determined using a commercially available software tool.
resultsConventional coronary angiography demonstrated nonstenotic coronary arteries in 22 subjects and significant coronary artery stenosis in 23. Significant correlations were observed between volumetric estimation of EAT and body mass index, coronary artery calcification, and Gensini score. On automatic volumetry, patients with significant coronary artery stenosis had significantly greater EAT volumes (154.58 +/- 58.91 mL) than those without significant CAD (120.94 +/- 81.85 mL) (P = .016). The manual bidimensional approach based on thickness measurements failed to show a significant difference between the two groups. Reproducibility and interobserver agreement for EAT quantification were higher when the automatic volumetric method was used (concordance-correlation coefficient, 0.96) compared to manual measurements (concordance-correlation coefficients, 0.37 for four-chamber EAT, 0.53 for short-axis EAT, and 0.58 for average EAT).
conclusionsFor the quantification of EAT on cardiac CT, automated volumetry is more reproducible and correlates better with the extent of CAD than manual bidimensional measurements.
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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.