scholarly journals The role of 18F-FDG PET/CT-based quantitative metabolic parameters in patients with ovarian clear cell carcinoma

2020 ◽  
Vol 27 (2) ◽  
pp. 189-194 ◽  
Author(s):  
Shuang Ye ◽  
Shuai Liu ◽  
Shuling Zhou ◽  
Libing Xiang ◽  
Xiaohua Wu ◽  
...  
2020 ◽  
Vol 45 (7) ◽  
pp. e320-e322
Author(s):  
Sho Koyasu ◽  
Tomoaki Otani ◽  
Sachiko Minamiguchi ◽  
Yuji Nakamoto ◽  
Kaori Togashi

2019 ◽  
Vol 44 (4) ◽  
pp. 332-333 ◽  
Author(s):  
Zhanli Fu ◽  
Xueqi Chen ◽  
Xing Yang ◽  
Qian Li

2022 ◽  
Vol 47 (2) ◽  
pp. e210-e212
Author(s):  
Dheeratama Siripongsatian ◽  
Chetsadaporn Promteangtrong ◽  
Anchisa Kunawudhi ◽  
Peerapon Kiatkittikul ◽  
Chanisa Chotipanich

2015 ◽  
Vol 40 (1) ◽  
pp. e58-e60 ◽  
Author(s):  
Giorgio Treglia ◽  
Jessica Barizzi ◽  
Gaetano Paone ◽  
Luca Ceriani ◽  
Massimo Bongiovanni ◽  
...  

Metabolites ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 7
Author(s):  
Daniel Hueng-Yuan Shen ◽  
Hung-Pin Chan ◽  
Fu-Ren Tsai ◽  
Chin Hu ◽  
Allan Yi-Nan Chen ◽  
...  

Esophageal squamous cell carcinoma (ESCC) is a major cancer prevalent in Asian males. Pretreatment tumor burden can be prognostic for ESCC. We studied the prognostic value of metabolic parameters of 2-deoxy-2-[18F] fluoro-D-glucose positron emission tomography/computed tomography (18F-FDG PET/CT) and the serum squamous cell carcinoma antigen (SCC-Ag) level in node-negative stage II ESCC patients. Eighteen males underwent staging evaluation were included. The volume-based metabolic parameters derived from 18F-FDG PET/CT, including metabolic tumor volume (MTV) and total lesion glycolysis (TLG), were obtained using the PET Volume Computer Assisted Reading application. The Spearman correlation coefficients were calculated to assess the relationship between metabolic parameters and pretreatment serum SCC-Ag levels. Based on the 5-year follow-up, patients were sub-divided into the demised and the stable groups. Potential prognostic value was assessed by independent t-test and the Mann–Whitney U test. The association of overall survival was assessed using univariate and multivariate Cox regression analyses. The demised group showed significant higher values in serum SCC-Ag, as well as in MTV and TLG, but not SUVmax and SUVmean. The SUVmax, MTV, TLG, and serum SCC-Ag showed significant association with overall survival. Our findings suggest potential usage of pretreatment volume-based metabolic parameters of 18F-FDG PET/CT and serum SCC-Ag as prognostic factors for node-negative stage II ESCC patients.


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