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Pretreatment quantitative 18F-FDG PET/CT parameters as a predictor of survival in adenoid cystic carcinoma of the salivary glands
Institution:1. Department of Radiology, University of Minnesota Medical Center, Minneapolis, MN 55455, USA;2. Department of Pathology and Laboratory Medicine, University of Minnesota Medical Center, Minneapolis, MN 55455, USA
Abstract:PurposeThe aim of this study was to determine the unique prognostic value of quantitative 18F-FDG PET/CT parameters to assess progression-free survival (PFS), distant metastasis-free survival (DMFS), and overall survival (OS) in patients with salivary gland adenoid cystic carcinoma (ACC).MethodsWe performed a retrospective study including 23 patients (15 men, 8 women; median age, 58 years; range, 21–91 years) with salivary gland ACC between January 2009 and October 2017 who underwent 18F-FDG PET/CT scan prior to treatment. Maximum, mean, peak, tumor-to-mediastinal blood pool and tumor-to-liver standardized uptake values (SUVmax, SUVmean, SUVpeak, SUVratiomed] and SUVratioliver]), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were obtained from 18F-FDG PET/CT. The prognostic value of quantitative 18F-FDG PET/CT parameters and other clinicopathological variables were evaluated utilizing the Cox proportional regression analysis.ResultsThe 3-year and 5-year OS for all the patients were 90.9%, and 62.3%, respectively. Log rank test determined that the SUVratiomed], SUVratioliver], MTV and TLG were predictive factors of DMFS, PFS, and OS (p < 0.05), furthermore, SUVmax, minor salivary gland tumors and DM at initial diagnosis (M1 stage) were predictor for PFS; M1 stage and overall stage 3–4 predicted DMFS (all p < 0.05). Cox regression analyses confirmed that the higher SUVratiomed], SUVratioliver], MTV, and TLG values predicted DMFS, PFS and OS independently, whereas SUVmax was an independent predictor of only PFS (p < 0.05).ConclusionsThe pretreatment metabolic 18F-FDG PET/CT parameters may reflect tumor aggressiveness in patients with salivary gland ACC and may potentially be utilized as a prognostic biomarker.
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