PURPOSE: There are limited data regarding the role of (18)F-fluorodeoxyglucose positron emission tomography ([(18)F]-FDG PET) imaging in management of patients with thymic epithelial tumors (TET). The primary objective of this study was to assess the usefulness of early [(18)F]-FDG PET to monitor treatment efficacy and its correlation with Response Evaluation Criteria in Solid Tumors (RECIST) in patients with TETs. EXPERIMENTAL DESIGN: [(18)F]-FDG PET/computed tomographic (CT) scans were conducted at baseline and after 6 weeks of treatment in patients enrolled in two phase II and one phase I/II clinical trials. On the basis of data from other solid tumors, metabolic response was defined as a reduction of [(18)F]-FDG uptake by more than 30% as assessed by average standardized uptake values (SUV) of up to five most metabolically active lesions. RESULTS: Fifty-six patients with unresectable Masaoka stage III or IV TETs were included. There was a close correlation between early metabolic response and subsequent best response using RECIST (P < 0.0001-0.0003): sensitivity and specificity for prediction of best response were 95% and 100%, respectively. Metabolic responders had significantly longer progression-free survival (median, 11.5 vs. 4.6 months; P = 0.044) and a trend toward longer overall survival (median, 31.8 vs. 18.4 months; P = 0.14) than nonresponders. [(18)F]-FDG uptake was significantly higher in thymic carcinoma than in thymoma (P = 0.0004-0.0010). CONCLUSION: In patients with advanced TETs, early metabolic response closely correlates with outcome of therapy. [(18)F]-FDG PET may be used to monitor treatment efficacy and assess histologic differences in patients with advanced TETs.
PURPOSE: There are limited data regarding the role of (18)F-fluorodeoxyglucose positron emission tomography ([(18)F]-FDG PET) imaging in management of patients with thymic epithelial tumors (TET). The primary objective of this study was to assess the usefulness of early [(18)F]-FDG PET to monitor treatment efficacy and its correlation with Response Evaluation Criteria in Solid Tumors (RECIST) in patients with TETs. EXPERIMENTAL DESIGN: [(18)F]-FDG PET/computed tomographic (CT) scans were conducted at baseline and after 6 weeks of treatment in patients enrolled in two phase II and one phase I/II clinical trials. On the basis of data from other solid tumors, metabolic response was defined as a reduction of [(18)F]-FDG uptake by more than 30% as assessed by average standardized uptake values (SUV) of up to five most metabolically active lesions. RESULTS: Fifty-six patients with unresectable Masaoka stage III or IV TETs were included. There was a close correlation between early metabolic response and subsequent best response using RECIST (P < 0.0001-0.0003): sensitivity and specificity for prediction of best response were 95% and 100%, respectively. Metabolic responders had significantly longer progression-free survival (median, 11.5 vs. 4.6 months; P = 0.044) and a trend toward longer overall survival (median, 31.8 vs. 18.4 months; P = 0.14) than nonresponders. [(18)F]-FDG uptake was significantly higher in thymic carcinoma than in thymoma (P = 0.0004-0.0010). CONCLUSION: In patients with advanced TETs, early metabolic response closely correlates with outcome of therapy. [(18)F]-FDG PET may be used to monitor treatment efficacy and assess histologic differences in patients with advanced TETs.
Authors: P Therasse; S G Arbuck; E A Eisenhauer; J Wanders; R S Kaplan; L Rubinstein; J Verweij; M Van Glabbeke; A T van Oosterom; M C Christian; S G Gwyther Journal: J Natl Cancer Inst Date: 2000-02-02 Impact factor: 13.506
Authors: Philipp Ströbel; Andrea Bauer; Bernhard Puppe; Til Kraushaar; Axel Krein; Klaus Toyka; Ralf Gold; Michael Semik; Reinhard Kiefer; Wilfred Nix; Berthold Schalke; Hans Konrad Müller-Hermelink; Alexander Marx Journal: J Clin Oncol Date: 2004-04-15 Impact factor: 44.544
Authors: Gang Chen; Alexander Marx; Wen-Hu Chen; Jiang Yong; Bernhard Puppe; Philipp Stroebel; Hans Konrad Mueller-Hermelink Journal: Cancer Date: 2002-07-15 Impact factor: 6.860