scholarly journals A possible link between increased metabolic activity of fat tissue and aortic wall inflammation in subjects with COPD. A retrospective 18F-FDG-PET/CT pilot study

2014 ◽  
Vol 108 (6) ◽  
pp. 883-890 ◽  
Author(s):  
Lowie E.G.W. Vanfleteren ◽  
Aniek M.G. van Meerendonk ◽  
Frits M. Franssen ◽  
Emiel F.M. Wouters ◽  
Felix M. Mottaghy ◽  
...  
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Steve Durante ◽  
Vincent Dunet ◽  
François Gorostidi ◽  
Periklis Mitsakis ◽  
Niklaus Schaefer ◽  
...  

Author(s):  
Halil Kömek ◽  
Canan Can ◽  
Yunus Güzel ◽  
Zeynep Oruç ◽  
Cihan Gündoğan ◽  
...  

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
K Pahk ◽  
H.W Kwon ◽  
J.S Eo ◽  
H.S Seo ◽  
S Kim

Abstract Background The risk of cardiovascular disease (CVD) is elevated in metabolic syndrome (MS) and is related to the inflammatory activity of visceral adipose tissue (VAT). We investigated whether the metabolic activity in VAT, assessed by 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT), is associated with systemic inflammatory status, and related to the number of MS components. Methods 18F-FDG PET/CT was performed in a total of 203 subjects: 59 without an MS component; M(0), 92 with one or two MS components; M(1–2), and 52 with MS. Metabolic activity of VAT was evaluated using the mean standardized uptake value (SUVmean) and the maximum SUV (SUVmax). Metabolic activities of immune-related organs such as spleen and bone marrow (BM) were evaluated using the SUVmax. Results VAT SUVmax correlated with high-sensitivity C-reactive protein (hsCRP) and the SUVmax of spleen and BM, which reflect the status of systemic inflammation. Both hsCRP and the SUVmax of the spleen and BM were higher in the MS group than in the M(1–2) or M(0) groups. In VAT, SUVmax increased with increasing number of MS components, while SUVmean decreased. Conclusions The SUVmax of VAT assessed by 18F-FDG PET/CT could reflect the inflammatory activity of VAT which is increased in the MS patients with systemic inflammation. Funding Acknowledgement Type of funding source: None


2009 ◽  
Vol 23 (2) ◽  
pp. 191-196 ◽  
Author(s):  
Andrea Lupi ◽  
Marta Zaroccolo ◽  
Matteo Salgarello ◽  
Veronica Malfatti ◽  
Pierluigi Zanco

2019 ◽  
Vol 44 (9) ◽  
pp. 748-749 ◽  
Author(s):  
Xueqi Chen ◽  
Guoqian Chen ◽  
Zhanli Fu ◽  
Qian Li
Keyword(s):  
Fdg Pet ◽  
Pet Ct ◽  
18F Fdg ◽  

2017 ◽  
Vol 38 (suppl_1) ◽  
Author(s):  
A.S. Antonopoulos ◽  
S. Brili ◽  
E. Oikonomou ◽  
I. Cutajar ◽  
N. Pianou ◽  
...  

2016 ◽  
Vol 41 (3) ◽  
pp. 177-181 ◽  
Author(s):  
Jose M. Pimiento ◽  
Ashley H. Davis-Yadley ◽  
Richard D. Kim ◽  
Dung-Tsa Chen ◽  
Edward A. Eikman ◽  
...  

2013 ◽  
Vol 38 (7) ◽  
pp. 546-549 ◽  
Author(s):  
Artor Niccoli Asabella ◽  
Corinna Altini ◽  
Antonio Rosario Pisani ◽  
Giuseppe Ingravallo ◽  
Giuseppe Rubini

2013 ◽  
Vol 49 (1) ◽  
pp. 131-137 ◽  
Author(s):  
C Bodet-Milin ◽  
M Lacombe ◽  
F Malard ◽  
E Lestang ◽  
X Cahu ◽  
...  
Keyword(s):  
Fdg Pet ◽  
Pet Ct ◽  
18F Fdg ◽  

2014 ◽  
Vol 7 (1) ◽  
pp. 15 ◽  
Author(s):  
Jae Lee ◽  
Kyung-Jin Min ◽  
Kyeong A So ◽  
Sungeun Kim ◽  
Jin Hong

Sign in / Sign up

Export Citation Format

Share Document