BACKGROUND: The molecular diagnosis of gliomas such as isocitrate dehydrogenase (IDH) status (wild-type [wt] or mutation [mut]) is especially important in the 2016 World Health Organization (WHO) classification. Positron emission tomography (PET) has afforded molecular and metabolic diagnostic imaging. The present study aimed to define the interrelationship between the 2016 WHO classification of gliomas and the integrated data from PET images using multiple tracers, including 18F-fluorodeoxyglucose (18F-FDG), 11C-methionine (11C-MET), 18F-fluorothymidine (18F-FLT), and 18F-fluoromisonidazole (18F-FMISO). METHODS: This retrospective, single-center study comprised 113 patients with newly diagnosed glioma based on the 2016 WHO criteria. Patients were divided into 4 glioma subtypes (Mut, Codel, Wt, and glioblastoma multiforme [GBM]). Tumor standardized uptake value (SUV) divided by mean normal cortical SUV (tumor-normal tissue ratio [TNR]) was calculated for 18F-FDG, 11C-MET, and 18F-FLT. Tumor-blood SUV ratio (TBR) was calculated for 18F-FMISO. To assess the diagnostic accuracy of PET tracers in distinguishing glioma subtypes, a comparative analysis of TNRs and TBR as well as the metabolic tumor volume (MTV) were calculated by Scheffe's multiple comparison procedure for each PET tracer following the Kruskal-Wallis test. RESULTS: The differences in mean 18F-FLT TNR and 18F-FMISO TBR were significant between GBM and other glioma subtypes (P < .001). Regarding the comparison between Gd-T1WI volumes and 18F-FLT MTVs or 18F-FMISO MTVs, we identified significant differences between Wt and Mut or Codel (P < .01). CONCLUSION: Combined administration of 4 PET tracers might aid in the preoperative differential diagnosis of gliomas according to the 2016 WHO criteria.
BACKGROUND: The molecular diagnosis of gliomas such as isocitrate dehydrogenase (IDH) status (wild-type [wt] or mutation [mut]) is especially important in the 2016 World Health Organization (WHO) classification. Positron emission tomography (PET) has afforded molecular and metabolic diagnostic imaging. The present study aimed to define the interrelationship between the 2016 WHO classification of gliomas and the integrated data from PET images using multiple tracers, including 18F-fluorodeoxyglucose (18F-FDG), 11C-methionine (11C-MET), 18F-fluorothymidine (18F-FLT), and 18F-fluoromisonidazole (18F-FMISO). METHODS: This retrospective, single-center study comprised 113 patients with newly diagnosed glioma based on the 2016 WHO criteria. Patients were divided into 4 glioma subtypes (Mut, Codel, Wt, and glioblastoma multiforme [GBM]). Tumor standardized uptake value (SUV) divided by mean normal cortical SUV (tumor-normal tissue ratio [TNR]) was calculated for 18F-FDG, 11C-MET, and 18F-FLT. Tumor-blood SUV ratio (TBR) was calculated for 18F-FMISO. To assess the diagnostic accuracy of PET tracers in distinguishing glioma subtypes, a comparative analysis of TNRs and TBR as well as the metabolic tumor volume (MTV) were calculated by Scheffe's multiple comparison procedure for each PET tracer following the Kruskal-Wallis test. RESULTS: The differences in mean 18F-FLT TNR and 18F-FMISO TBR were significant between GBM and other glioma subtypes (P < .001). Regarding the comparison between Gd-T1WI volumes and 18F-FLT MTVs or 18F-FMISO MTVs, we identified significant differences between Wt and Mut or Codel (P < .01). CONCLUSION: Combined administration of 4 PET tracers might aid in the preoperative differential diagnosis of gliomas according to the 2016 WHO criteria.
Authors: Seung Jun Oh; Dae Yoon Chi; Christoph Mosdzianowski; Jung Young Kim; Hee Seop Gil; Se Hun Kang; Jin Sook Ryu; Dae Hyuk Moon Journal: Nucl Med Biol Date: 2005-11 Impact factor: 2.408
Authors: Martin A Lodge; Matthias Holdhoff; Jeffrey P Leal; Asim K Bag; L Burt Nabors; Akiva Mintz; Glenn J Lesser; David A Mankoff; Arati S Desai; James M Mountz; Frank S Lieberman; Joy D Fisher; Serena Desideri; Xiaobu Ye; Stuart A Grossman; David Schiff; Richard L Wahl Journal: J Nucl Med Date: 2016-09-29 Impact factor: 10.057
Authors: Jason Beiko; Dima Suki; Kenneth R Hess; Benjamin D Fox; Vincent Cheung; Matthew Cabral; Nicole Shonka; Mark R Gilbert; Raymond Sawaya; Sujit S Prabhu; Jeffrey Weinberg; Frederick F Lang; Kenneth D Aldape; Erik P Sulman; Ganesh Rao; Ian E McCutcheon; Daniel P Cahill Journal: Neuro Oncol Date: 2013-12-04 Impact factor: 12.300
Authors: Ian Law; Nathalie L Albert; Javier Arbizu; Ronald Boellaard; Alexander Drzezga; Norbert Galldiks; Christian la Fougère; Karl-Josef Langen; Egesta Lopci; Val Lowe; Jonathan McConathy; Harald H Quick; Bernhard Sattler; David M Schuster; Jörg-Christian Tonn; Michael Weller Journal: Eur J Nucl Med Mol Imaging Date: 2018-12-05 Impact factor: 9.236