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Journal article

Detecting human coronary inflammation by imaging perivascular fat

Abstract:

Early detection of vascular inflammation is a long-standing goal that would allow deployment of targeted strategies for the prevention or treatment of multiple disease states. Since vascular inflammation is not detectable with commonly used imaging modalities, we hypothesized that phenotypic changes in perivascular adipose tissue (PVAT) induced by vascular inflammation could be quantified using a new computerized tomography angiography (CTA) methodology. We show that inflamed human vessels re...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1126/scitranslmed.aal2658

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Author
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Funding agency for:
Margaritis, M
Grant:
RE/08/004
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Funding agency for:
Antoniades, C
Grant:
RE/08/004
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Funding agency for:
Antoniades, C
Grant:
RE/08/004
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Grant:
FS/16/15/32047
PG/13/56/30383
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Publisher:
American Association for the Advancement of Science Publisher's website
Journal:
Science Translational Medicine Journal website
Volume:
9
Issue:
398
Article number:
eaal2658
Publication date:
2017-07-12
Acceptance date:
2017-05-30
DOI:
EISSN:
1946-6242
ISSN:
1946-6234
Source identifiers:
698028
Keywords:
Pubs id:
pubs:698028
UUID:
uuid:bb5a2a27-233e-4b34-bf75-b77762df0d8a
Local pid:
pubs:698028
Deposit date:
2017-06-01

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