Literature DB >> 26312914

Evaluation of carotid plaque inflammation in patients with active rheumatoid arthritis using (18)F-fluorodeoxyglucose PET-CT and MRI: a pilot study.

Sarah Skeoch1, Heather Williams2, Penny Cristinacce2, Paul Hockings3, Jacqueline James4, Yvonne Alexander5, John Waterton6, Ian Bruce7.   

Abstract

BACKGROUND: Rheumatoid arthritis is associated with a 50% increased risk in cardiovascular mortality. Inflammation is thought to accelerate atherosclerosis and might also lead to an inflammatory rupture-prone plaque phenotype. We tested the hypothesis that patients with active rheumatoid arthritis also have carotid plaque inflammation and that plaque inflammation correlates with clinical and serological markers of inflammation.
METHODS: Patients with active rheumatoid arthritis, defined as the Disease Activity Score in 28 joints (DAS28) score of more than 3·2, were recruited to a single centre study in the UK. Patients with carotid plaque on ultrasound underwent carotid MRI followed by (18)F-fluorodeoxyglucose ((18)F-FDG) PET-CT. Scans were co-registered and analysed by a physicist, masked to clinical information. The maximum standardised uptake values (SUV(max)) were measured in the plaque area. The association of SUV with DAS28, C-reactive protein, and CD4+CD28- T-cell frequency was tested with non-parametric statistics. Ethics approval and informed consent were obtained.
FINDINGS: Scans were done in 13 patients, nine of whom were women. Median age was 60 years (IQR 57-65), disease duration was 11 years (6-25), and DAS28 score was 4·52 (4·32-5·13). None had a history or symptoms of clinical cardiovascular disease or took statins. All plaques caused less than 70% stenosis, and tracer uptake in plaque was seen on PET in all 13 patients. Median SUV(max) was 2·18 (IQR 2·00-2·65), and all cases had an SUV(max) greater than 1·6 (the threshold for defining carotid plaque inflammation). There was a significant association with SUV(max) and C-reactive protein (r=0·58, p=0·04) and quartiles of CD4+CD28- T-cell frequency (p=0·045), but not with low-density lipoprotein concentrations (r=-0·49, p=0·09) or DAS28 score (r=0·38, p=0·20). No association was found with age (r=0·13, p=0·69) or sex (p=0·64).
INTERPRETATION: In this small pilot study, plaque inflammation was seen in all patients and correlated with C-reactive protein. Whether this finding represents simultaneous joint and plaque inflammation, which might improve on treatment of joint disease, remains to be determined. CD4+CD28- T-cells are known to predict cardiovascular events in patients with angina. Their association with plaque inflammation in this study suggests a possible role in cardiovascular risk prediction in rheumatoid arthritis. Larger studies are warranted to investigate these findings further. FUNDING: North West England MRC Clinical Pharmacology and Therapeutics Clinical Research Fellowship, National Institute for Health Research, AstraZeneca-University of Manchester Strategic Alliance Fund.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Year:  2015        PMID: 26312914     DOI: 10.1016/S0140-6736(15)60406-8

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  4 in total

Review 1.  Biomarkers to guide clinical therapeutics in rheumatology?

Authors:  William H Robinson; Rong Mao
Journal:  Curr Opin Rheumatol       Date:  2016-03       Impact factor: 5.006

2.  Gd(III)-Gold Nanoconjugates Provide Remarkable Cell Labeling for High Field Magnetic Resonance Imaging.

Authors:  Nikhil Rammohan; Robert J Holbrook; Matthew W Rotz; Keith W MacRenaris; Adam T Preslar; Christiane E Carney; Viktorie Reichova; Thomas J Meade
Journal:  Bioconjug Chem       Date:  2016-09-01       Impact factor: 4.774

3.  Combined PET/MRI: from Status Quo to Status Go. Summary Report of the Fifth International Workshop on PET/MR Imaging; February 15-19, 2016; Tübingen, Germany.

Authors:  D L Bailey; B J Pichler; B Gückel; H Barthel; A J Beer; R Botnar; R Gillies; V Goh; M Gotthardt; R J Hicks; R Lanzenberger; C la Fougere; M Lentschig; S G Nekolla; T Niederdraenk; K Nikolaou; J Nuyts; D Olego; K Åhlström Riklund; A Signore; M Schäfers; V Sossi; M Suminski; P Veit-Haibach; L Umutlu; M Wissmeyer; T Beyer
Journal:  Mol Imaging Biol       Date:  2016-10       Impact factor: 3.488

4.  A cross-scanner and cross-tracer deep learning method for the recovery of standard-dose imaging quality from low-dose PET.

Authors:  Song Xue; Rui Guo; Karl Peter Bohn; Jared Matzke; Marco Viscione; Ian Alberts; Hongping Meng; Chenwei Sun; Miao Zhang; Min Zhang; Raphael Sznitman; Georges El Fakhri; Axel Rominger; Biao Li; Kuangyu Shi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-12-24       Impact factor: 10.057

  4 in total

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