Evidence map›Paper›PMID 39915372›Full record

ArticleThe international journal of cardiovascular imaging2025

Characterization of epicardial adipose tissue thickness and structure by ultrasound radiomics in acute and chronic coronary patients.

Manel Abbassi, Bouthaina Besbes, Noomene Elkadri, Salmen Hachicha, Selim Boudiche, Foued Daly, Manel Ben Halima, Zeynab Jebberi, Sana Ouali, Fathia Mghaieth

Abstract readComparative Study
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Article in The international journal of cardiovascular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Manel AbbassiDepartment of Cardiology, The Rabta Teaching Hospital, University of Medicine, Tunis, Tunisia. manel.abbassi@etudiant-fmt.utm.tn.ORCID http://orcid.org/0009-0007-6215-4135
Bouthaina BesbesDepartment of Cardiology, The Rabta Teaching Hospital, University of Medicine, Tunis, Tunisia.ORCID http://orcid.org/0000-0001-6178-4863
Noomene ElkadriUniversity of Medicine, Tunis, Tunisia.
Salmen HachichaDepartment of Cardiology, The Rabta Teaching Hospital, University of Medicine, Tunis, Tunisia.
Selim BoudicheDepartment of Cardiology, The Rabta Teaching Hospital, University of Medicine, Tunis, Tunisia.
Foued DalyDepartment of Cardiology, The Rabta Teaching Hospital, University of Medicine, Tunis, Tunisia.
Manel Ben HalimaDepartment of Cardiology, The Rabta Teaching Hospital, University of Medicine, Tunis, Tunisia.
Zeynab JebberiDepartment of Cardiology, The Rabta Teaching Hospital, University of Medicine, Tunis, Tunisia.
Sana OualiDepartment of Cardiology, The Rabta Teaching Hospital, University of Medicine, Tunis, Tunisia.
Fathia MghaiethDepartment of Cardiology, The Rabta Teaching Hospital, University of Medicine, Tunis, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We hypothesize that epicardial adipose tissue (EAT) structure differs between patients with coronary disease and healthy individuals and that EAT may undergo changes during an acute coronary syndrome (ACS). This study aimed to investigate EAT thickness (EATt) and structure using ultrasound radiomics in patients with ACS, patients with chronic coronary syndrome (CCS), and controls and compare the findings between the three groups. This prospective monocentric comparative cohort study included three patient groups: ACS, CCS, and asymptomatic controls. EATt was assessed using transthoracic echocardiography. Geometrical features (as mean gray value and raw integrated density) and texture features (as angular second moment, contrast and correlation) were computed from grayscale Tagged Image File Format biplane images using ImageJ software. EATt did not significantly differ between the ACS group (8.14 ± 3.17 mm) and the control group (6.92 ± 2.50 mm), whereas CCS patients (9.96 ± 3.19 mm) had significantly thicker EAT compared to both the ACS group (p = 0.025) and the control group (p < 0.001). Radiomics analysis revealed differences in geometrical parameters with discriminatory capabilities between both ACS group and controls and CCS group and controls. A multivariate analysis comparing ACS and CCS patients revealed that differences in EAT characteristics were significant only in patients with a body mass index below 26.25 kg/m². In this subgroup, patients older than 68 exhibited a higher modal gray value (p = 0.016), whereas those younger than 68 had a lower minimum gray value (p = 0.05). Radiomic analysis highlights its potential in developing imaging biomarkers for early diagnosis and coronary artery disease progression monitoring.

Indexed as

Acute Coronary SyndromeAdipose TissueAdiposityCoronary Artery DiseaseEchocardiographyImage Interpretation, Computer-AssistedPericardiumAgedCase-Control StudiesChronic DiseaseEpicardial Adipose TissueFemaleHumansMaleMiddle AgedPredictive Value of TestsAcute coronary syndromeChronic coronary syndromeEpicardial adipose tissueRadiomics

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Registered trials

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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.