PURPOSE: 18F-fluorodeoxyglucose (FDG) and 11C-methionine (MET) PET imaging studies allow the investigation of metabolism and amino acid transport in brain tumours. Their (relative) usefulness and prognostic value in suspected recurrence or progression of primary brain tumours after previous therapy is an issue of debate. The aim of this study was to compare directly both radioligands in this setting. METHODS: Cerebral uptake of FDG and MET was determined sequentially on the same day in 30 patients (21 males, nine females; age 40.4+/-15.6 years), on average 4.0 years (range 0.1-18) after therapy for a primary brain tumour (23 grade II-IV astrocytomas, four oligodendrogliomas and three mixed oligo-astrocytomas). Images were acquired on a Siemens HR+ dedicated PET camera. Two observers scored FDG and MET scans independently. Semi-quantitative indices defined by the tumour (maximum)-to-background ratio were calculated based on manual ROI delineation and by using MET ROIs for FDG after automated co-registration. Patient follow-up was conducted until the last contact with inconspicuous clinical findings (average 41 months, range 12-62 months after PET) [(n=10)] or until death (n=20). RESULTS: Overall median survival was 15.0 months. MET showed pathologically increased uptake in 28/30 scans, and FDG in 17/30. The inter-observer agreement was 100% for MET and 73% for FDG. Using Kaplan-Meier survival analysis, significant differences were found for both FDG (cut-off 0.8, log-rank p=0.007) and MET (cut-off 2.2, log-rank p=0.014). The combination of FDG and MET information resulted in the highest prognostic accuracy (p=0.003), while MET alone was the best prognostic predictor in the subgroup of patients with primary astrocytoma (n=23). CONCLUSION: FDG and MET PET studies provide complementary prognostic information in patients with suspected brain tumour recurrence or progression after primary therapy. MET is considered the single agent of choice in the evaluation of these patients because of its sensitivity and clearer delineation of the suspected recurrence.
PURPOSE:18F-fluorodeoxyglucose (FDG) and 11C-methionine (MET) PET imaging studies allow the investigation of metabolism and amino acid transport in brain tumours. Their (relative) usefulness and prognostic value in suspected recurrence or progression of primary brain tumours after previous therapy is an issue of debate. The aim of this study was to compare directly both radioligands in this setting. METHODS: Cerebral uptake of FDG and MET was determined sequentially on the same day in 30 patients (21 males, nine females; age 40.4+/-15.6 years), on average 4.0 years (range 0.1-18) after therapy for a primary brain tumour (23 grade II-IV astrocytomas, four oligodendrogliomas and three mixed oligo-astrocytomas). Images were acquired on a Siemens HR+ dedicated PET camera. Two observers scored FDG and MET scans independently. Semi-quantitative indices defined by the tumour (maximum)-to-background ratio were calculated based on manual ROI delineation and by using MET ROIs for FDG after automated co-registration. Patient follow-up was conducted until the last contact with inconspicuous clinical findings (average 41 months, range 12-62 months after PET) [(n=10)] or until death (n=20). RESULTS: Overall median survival was 15.0 months. MET showed pathologically increased uptake in 28/30 scans, and FDG in 17/30. The inter-observer agreement was 100% for MET and 73% for FDG. Using Kaplan-Meier survival analysis, significant differences were found for both FDG (cut-off 0.8, log-rank p=0.007) and MET (cut-off 2.2, log-rank p=0.014). The combination of FDG and MET information resulted in the highest prognostic accuracy (p=0.003), while MET alone was the best prognostic predictor in the subgroup of patients with primary astrocytoma (n=23). CONCLUSION:FDG and MET PET studies provide complementary prognostic information in patients with suspected brain tumour recurrence or progression after primary therapy. MET is considered the single agent of choice in the evaluation of these patients because of its sensitivity and clearer delineation of the suspected recurrence.
Authors: D Ribom; A Eriksson; M Hartman; H Engler; A Nilsson; B Långström; H Bolander; M Bergström; A Smits Journal: Cancer Date: 2001-09-15 Impact factor: 6.860
Authors: Samuel Samnick; Jochen B Bader; Dirk Hellwig; Jean Richard Moringlane; Christof Alexander; Bernd F M Romeike; Wolfgang Feiden; Carl-Martin Kirsch Journal: J Clin Oncol Date: 2002-01-15 Impact factor: 44.544
Authors: Meri Utriainen; Liisa Metsähonkala; Toivo T Salmi; Tapio Utriainen; Hannu Kalimo; Helena Pihko; Anne Mäkipernaa; Arja Harila-Saari; Sirkku Jyrkkiö; Jukka Laine; Kjell Någren; Heikki Minn Journal: Cancer Date: 2002-09-15 Impact factor: 6.860
Authors: Marc Levivier; David Wikler; Nicolas Massager; Philippe David; Daniel Devriendt; Jose Lorenzoni; Benoit Pirotte; Françoise Desmedt; Stephane Simon; Serge Goldman; Paul Van Houtte; Jacques Brotchi Journal: J Neurosurg Date: 2002-12 Impact factor: 5.115
Authors: C S Brock; H Young; S M O'Reilly; J Matthews; S Osman; H Evans; E S Newlands; P M Price Journal: Br J Cancer Date: 2000-02 Impact factor: 7.640
Authors: T Vander Borght; S Asenbaum; P Bartenstein; C Halldin; O Kapucu; K Van Laere; A Varrone; K Tatsch Journal: Eur J Nucl Med Mol Imaging Date: 2006-11 Impact factor: 9.236
Authors: Gabriele Pöpperl; Friedrich W Kreth; Jan H Mehrkens; Jochen Herms; Klaus Seelos; Walter Koch; Franz J Gildehaus; Hans A Kretzschmar; Jörg C Tonn; Klaus Tatsch Journal: Eur J Nucl Med Mol Imaging Date: 2007-09-01 Impact factor: 9.236
Authors: John H Rossmeisl; Paulo A Garcia; Gregory B Daniel; John Daniel Bourland; Waldemar Debinski; Nikolaos Dervisis; Shawna Klahn Journal: Vet Radiol Ultrasound Date: 2013-11-13 Impact factor: 1.363