Toggle Main Menu Toggle Search

Open Access padlockePrints

Perivascular fat imaging by computed tomography (CT): a virtual guide

Lookup NU author(s): Dr Chris Kotanidis



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


© 2021 The Authors. British Journal of Pharmacology published by John Wiley & Sons Ltd on behalf of British Pharmacological Society. Imaging in medicine has been revolutionised by technological, computational and research advances over the past decades. Computed tomography (CT), in particular, has seen rapid evolution especially in the field of cardiovascular non-invasive imaging. It is being recognised as the first-line tool for the assessment of stable and unstable disease with diagnostic, prognostic and re-stratification potential. Vascular inflammation is a key component of the atherosclerotic process and has been shown to induce molecular, transcriptional and structural changes to perivascular adipose tissue (PVAT). Being a diverse structure itself, PVAT surrounds the human vessels and is characterised by a highly rich secretome, including, amongst others, adipokines, cytokines, gaseous messengers and miRNAs It is implicated in a bidirectional interplay with the adjacent vascular wall, affecting and being affected by aspects of its biology, mainly inflammation. In this review, we discuss the current status of cardiac CT in imaging vascular inflammation through PVAT phenotyping. LINKED ARTICLES: This article is part of a themed issue on Molecular imaging - visual themed issue. To view the other articles in this section visit

Publication metadata

Author(s): Kotanidis CP, Antoniades C

Publication type: Review

Publication status: Published

Journal: British Journal of Pharmacology

Year: 2021

Volume: 178

Issue: 21

Pages: 4270-4290

Print publication date: 01/11/2021

Online publication date: 23/07/2021

Acceptance date: 23/10/2020

ISSN (print): 0007-1188

ISSN (electronic): 1476-5381

Publisher: John Wiley and Sons Inc


DOI: 10.1111/bph.15634

PubMed id: 34296764