Literature DB >> 28134692

Prognostic Value of Metabolic Tumor Volume and Total Lesion Glycolysis on Preoperative 18F-FDG PET/CT in Patients With Renal Cell Carcinoma.

Reiko Nakajima1, Yuka Matsuo, Tsunenori Kondo, Koichiro Abe, Shuji Sakai.   

Abstract

PURPOSE: We evaluated the prognostic value of metabolic tumor volume (MTV) and total lesion glycolysis (TLG) measured using pretreatment F-FDG PET/CT in patients with renal cell carcinoma (RCC).
METHODS: A total of 139 patients with RCC who had undergone FDG PET/CT before tumor resection were retrospectively reviewed. We determined the SUVmax, MTV, and TLG and compared the results obtained with those required for a progression-free survival (PFS), which was defined as disease progression. Receiver operating characteristic curve analysis was used to compare prediction accuracies. Univariate and multivariate analyses of conventional clinicopathologic variables (age, sex, pathological tumor node metastasis [pTNM] stage, histological type, Fuhrman grade, and presence/absence of microscopic lymphatic and venous invasions) were used to compare the reliability of the metabolic parameters (SUVmax, MTV, and TLG).
RESULTS: Of the 139 patients, 24 patients (17%) experienced disease progression during the follow-up period. The age, pTNM stage, Fuhrman grade, presence/absence of microscopic lymphatic and venous invasions, SUVmax, MTV, and TLG were found to be significant prognostic factors for PFS (P < 0.05) on univariate analyses. Multivariate analyses revealed that MTV, TLG, and high pTNM stage (P = 0.02 [hazard ratio, 9.5; 95% confidence interval, 1.50-187.0], P = 0.02 [hazard ratio, 9.0; 95% confidence interval, 1.40-178.5], P = 0.004 [hazard ratio, 5.9; 95% confidence interval, 1.66-20.4], respectively) were the significant predictors after adjustment for other variables of PFS.
CONCLUSION: The pretreatment value of MTV, TLG, and high pTNM stage are the significant prognostic factors in patients with RCC.

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Year:  2017        PMID: 28134692     DOI: 10.1097/RLU.0000000000001552

Source DB:  PubMed          Journal:  Clin Nucl Med        ISSN: 0363-9762            Impact factor:   7.794


  2 in total

Review 1.  PET imaging in renal cancer.

Authors:  Liza Lindenberg; Esther Mena; Peter L Choyke; Kirsten Bouchelouche
Journal:  Curr Opin Oncol       Date:  2019-05       Impact factor: 3.645

2.  Clinical utility of FDG PET/CT for primary and recurrent papillary renal cell carcinoma.

Authors:  Guozhu Hou; Dachun Zhao; Yuanyuan Jiang; Zhaohui Zhu; Li Huo; Fang Li; Wuying Cheng
Journal:  Cancer Imaging       Date:  2021-02-25       Impact factor: 3.909

  2 in total

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