Association Between Perivascular Adipose Tissue Density and Atherosclerosis in the Descending Thoracic Aorta.


Journal

Angiology
ISSN: 1940-1574
Titre abrégé: Angiology
Pays: United States
ID NLM: 0203706

Informations de publication

Date de publication:
03 2023
Historique:
pubmed: 3 5 2022
medline: 1 2 2023
entrez: 2 5 2022
Statut: ppublish

Résumé

Radiodensity measured by computed tomography (CT) in Hounsfield Units (HU) is emerging as a clinical tool for detecting perivascular adipose tissue (PVAT) inflammation. In the present study, we hypothesized that PVAT radiodensity might predict the risk of descending thoracic aorta atherosclerosis. A total of 73 subjects who underwent CT angiography to investigate aortic disease were retrospectively analyzed. PVAT radiodensity, aortic complex plaque (ACP), mean plaque-burden score (MPBS), and plaque density were measured, and the association between them was analyzed. Perivascular adipose tissue radiodensity (HU) in patients with different aortic plaques grades (grade 1, 2, 3, and 4) were -93.71 ± 2.50, -93.63 ± 3.93, -90.24 ± 4.49, and -89.90 ± 5.18, respectively, and the difference was significant (P = .010). In the regression analysis, PVAT radiodensity was an independent predictor of ACP, with an OR of 1.263. In the linear analysis, PVAT radiodensity was an independent predictor of MPBS, with a β-coefficient of .073. In the univariate analysis, only the PVAT radiodensity was significantly associated with plaque density, with a β-coefficient of -1.666. In conclusion, PVAT density was independently related to descending thoracic aorta atherosclerosis.

Identifiants

pubmed: 35500088
doi: 10.1177/00033197221098894
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

216-226

Auteurs

Qin-He Zhang (QH)

Department of Radiology, 74710the First Affiliated Hospital of Dalian Medical University, Dalian, China.

Ye Li (Y)

Department of Radiology, 74710the First Affiliated Hospital of Dalian Medical University, Dalian, China.

Lu-Han Xie (LH)

Department of Pathology and Forensics, 36674Dalian Medical University, Dalian, China.

Xue Ren (X)

Department of Radiology, 74710the First Affiliated Hospital of Dalian Medical University, Dalian, China.

Ying Zhao (Y)

Department of Radiology, 74710the First Affiliated Hospital of Dalian Medical University, Dalian, China.

Nan Wang (N)

Department of Radiology, 74710the First Affiliated Hospital of Dalian Medical University, Dalian, China.

Li-Hua Chen (LH)

Department of Radiology, 74710the First Affiliated Hospital of Dalian Medical University, Dalian, China.

Ye Ju (Y)

Department of Radiology, 74710the First Affiliated Hospital of Dalian Medical University, Dalian, China.

Yi-Jun Liu (YJ)

Department of Radiology, 74710the First Affiliated Hospital of Dalian Medical University, Dalian, China.

Li-Zhi Xie (LZ)

MR Research, 33112GE Healthcare, Beijing, China.

Liang-Jie Lin (LJ)

244810Clinical and Technical Support, Philips Healthcare, Beijing, China.

Ai-Lian Liu (AL)

Department of Radiology, 74710the First Affiliated Hospital of Dalian Medical University, Dalian, China.

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Classifications MeSH