Evidence map›Paper›PMID 31782934›Full record

ReviewThe British journal of radiology2020

Novel imaging biomarkers: epicardial adipose tissue evaluation.

Caterina B Monti, Marina Codari, Carlo Nicola De Cecco, Francesco Secchi, Francesco Sardanelli, Arthur E Stillman

Registry-linked trialOpen access · bronzeAbstract readReview
In one paragraph

Review in The British journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07178145 (MRI of Epicardial Adipose Tissue Composition), which is not on this map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

NCT07178145 phase4recruitingstarted 2025, after this paper: background citation

MRI of Epicardial Adipose Tissue Composition: Development of Methods and Application to Heart Failure With Preserved Ejection Fraction

Ran2025Enrolled192Registered outcomes6Posted comparisons0ConditionsEpicardial Adipose Tissue, Heart Failure Preserved Ejection FractionArmsGLP-1RA
Open the trial in the graph
3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 76 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Observational
  5. Modifiable Risk Factors in Atrial Fibrillation: Clinical Implications and Pathophysiological Insights.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026
    Review
  6. Review
  7. Observational
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Evaluating Epicardial Fat Density Using ROI-Based Analysis: A Feasibility Study.Journal of cardiovascular development and disease · 2025
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Caterina B MontiDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, Milano, Italy.
Marina CodariDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.
Carlo Nicola De CeccoDivision of Cardiothoracic Imaging, Department of Radiology and Imaging Sciences, Emory University Hospital, Atlanta, GA, USA.
Francesco SecchiDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, Milano, Italy.
Francesco SardanelliDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, Milano, Italy.
Arthur E StillmanDivision of Cardiothoracic Imaging, Department of Radiology and Imaging Sciences, Emory University Hospital, Atlanta, GA, USA.
Emory University Hospital · USIRCCS Policlinico San Donato · ITPolitecnico di Milano · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epicardial adipose tissue (EAT) is a metabolically activated beige adipose tissue, non-homogeneously surrounding the myocardium. Physiologically, EAT regulates toxic fatty acids, protects the coronary arteries against mechanical strain, regulates proinflammatory cytokines, stimulates the production of nitric oxide, reduces oxidative stress, and works as a thermogenic source against hypothermia. Conversely, EAT has pathologic paracrine interactions with the surrounded vessels, and might favour the onset of atrial fibrillation. In addition, initial atherosclerotic lesions can promote inflammation and trigger the EAT production of cytokines increasing vascular inflammation, which, in turn, may help the development of collateral vessels but also of self-stimulating, dysregulated inflammatory process, increasing coronary artery disease severity. Variations in EAT were also linked to metabolic syndrome. Echocardiography first estimated EAT measuring its thickness on the free wall of the right ventricle but does not allow accurate volumetric EAT estimates. Cardiac CT (CCT) and cardiac MR (CMR) allow for three-dimensional EAT estimates, the former showing higher spatial resolution and reproducibility but being limited by radiation exposure and long segmentation times, the latter being radiation-free but limited by lower spatial resolution and reproducibility, higher cost, and difficulties for obese patients. EAT radiodensity at CCT could to be related to underlying metabolic processes. The correlation between EAT and response to certain pharmacological therapies has also been investigated, showing promising results. In the future, semi-automatic or fully automatic techniques, machine/deep-learning methods, if validated, will facilitate research for various EAT measures and may find a place in CCT/CMR reporting.

Indexed as

MyocardiumAdipose Tissue, BeigeBiomarkersCoronary Artery DiseaseCoronary VesselsCytokinesEchocardiographyHeartHumansMagnetic Resonance ImagingPericardiumReproducibility of ResultsTomography, X-Ray ComputedBiomarkersCytokines

Identifiers

PMID31782934
PMCPMC7465863
OpenAlexW2991117355

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.