scholarly journals Metabolic tumour volume on 18F-FDG PET/CT predicts extended pathological T stages in patients with renal cell carcinoma at staging

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Dongwoo Kim ◽  
Narae Lee ◽  
Suk Hyun Lee ◽  
Hyun Jeong Kim ◽  
Hye-Suk Hong ◽  
...  

AbstractWe evaluated the predictive value of 18F-fluorodeoxyglucose (FDG) uptake on positron emission tomography/CT (PET/CT) for extended pathological T (pT) stages (≥ pT3a) in Renal cell carcinoma (RCC) patients at staging. Thirty-eight RCC patients who underwent 18F-FDG PET/CT at staging, followed by radical nephrectomy between September 2016 and September 2018, were included in this prospective study. Patients were classified into two groups (limited pT stage: stage T1/2, n = 17; extended pT stage: T3/4, n = 21). Univariate and multivariate logistic regression analyses were performed to identify clinicopathological and metabolic variables to predict extended pT stages. 18F-FDG metabolic parameters were compared in relation to International Society of Urological Pathology (ISUP) grade and lymphovascular invasion (LVI). In univariate analysis, maximum standardised uptake value, metabolic tumour volume (MTV), and ISUP grade were significant. In multivariate analysis, MTV was the only significant factor of extended pT stages. With a cut-off MTV of 21.2, an area under the curve was 0.944, which was higher than 0.824 for clinical T stages (p = 0.037). In addition, high MTV, but not tumour size, was significantly correlated with aggressive pathologic features (ISUP grade and LVI). High glycolytic tumour volume on 18F-FDG PET/CT in RCC patients at staging is predictive of extended pT stages which could aid decision-making regarding the best type of surgery.

2015 ◽  
Vol 43 (3) ◽  
pp. 464-473 ◽  
Author(s):  
Pierpaolo Alongi ◽  
Maria Picchio ◽  
Fabio Zattoni ◽  
Marianna Spallino ◽  
Luigi Gianolli ◽  
...  

2015 ◽  
Vol 26 (6) ◽  
pp. 1852-1862 ◽  
Author(s):  
Reiko Nakajima ◽  
Koichiro Abe ◽  
Tsunenori Kondo ◽  
Kazunari Tanabe ◽  
Shuji Sakai

2018 ◽  
Vol 81 (4) ◽  
pp. 739-744 ◽  
Author(s):  
Noboru Nakaigawa ◽  
Keiichi Kondo ◽  
Tomohiro Kaneta ◽  
Ukihide Tateishi ◽  
Ryogo Minamimoto ◽  
...  

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