scholarly journals Prognostic Value of Metabolic Activity Measured by 18F-FDG PET/CT in Patients with Advanced Endometrial Cancer

2013 ◽  
Vol 47 (4) ◽  
pp. 257-262 ◽  
Author(s):  
Hyun Jeong Kim ◽  
Jiyoun Choi ◽  
Yong Hyu Jeong ◽  
Kwan Hyeong Jo ◽  
Jae-Hoon Lee ◽  
...  
2013 ◽  
Vol 130 (3) ◽  
pp. 446-451 ◽  
Author(s):  
Hyun Hoon Chung ◽  
Inki Lee ◽  
Hee Seung Kim ◽  
Jae Weon Kim ◽  
Noh-Hyun Park ◽  
...  

2016 ◽  
Vol 87 (7) ◽  
pp. 493-497 ◽  
Author(s):  
Emre Özgü ◽  
Murat Öz ◽  
Yunus Yıldız ◽  
Burçin Salman Özgü ◽  
Salim Erkaya ◽  
...  

Author(s):  
Kisoo Pahk ◽  
Ki-Jin Ryu ◽  
Chanmin Joung ◽  
Hyun Woo Kwon ◽  
Sanghoon Lee ◽  
...  

Obesity contributes to increased cancer incidence and aggressiveness in patients with endometrial cancer. Inflamed metabolic activity of visceral adipose tissue (VAT) is regarded as a key underlying mechanism of adverse consequences of obesity. The aim of this study was to investigate the association between inflammatory metabolic activity of VAT evaluated by 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) and metastatic status of lymph nodes (LN) in patients with endometrial cancer. In total, 161 women with newly diagnosed endometrial cancer, who received preoperative 18F-FDG PET/CT, were enrolled. VAT inflammatory metabolic activity was defined as V/S ratio and measured from the maximum standardized uptake value (SUVmax) of VAT normalized to the SUVmax of subcutaneous adipose tissue (SAT). The positive LN metastasis group exhibited a significantly higher V/S ratio than the negative LN metastasis group. Systemic inflammatory surrogate markers including high sensitivity C-reactive protein, spleen SUVmax, and bone marrow SUVmax were also higher in the LN metastasis group than in the negative LN metastasis group, showing significant correlations with V/S ratio. In multivariate logistic regression analysis, V/S ratio was independently associated with LN metastasis. V/S ratio is independently associated with the LN metastasis status in patients with endometrial cancer. This finding could be useful as a potential surrogate marker of obesity-induced VAT inflammation associated with tumor aggressiveness.


2019 ◽  
Vol 40 (11) ◽  
pp. 1099-1104
Author(s):  
Mehmet Erdogan ◽  
Evrim Erdemoglu ◽  
Şehnaz Evrimler ◽  
Candost Hanedan ◽  
Sevim S. Şengül

2016 ◽  
Vol 9 (2) ◽  
pp. 169-177 ◽  
Author(s):  
Laura Evangelista ◽  
Francesco Bertagna ◽  
Mattia Bertoli ◽  
Tigu Stela ◽  
Giorgio Saladini ◽  
...  

Author(s):  
Edel Noriega-Álvarez ◽  
Ana M. García Vicente ◽  
Germán A. Jiménez Londoño ◽  
Wilson R. Martínez Bravo ◽  
Beatriz González García ◽  
...  

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


Author(s):  
Simone Krebs ◽  
Audrey Mauguen ◽  
Onur Yildirim ◽  
Vaios Hatzoglou ◽  
Jasmine H. Francis ◽  
...  

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