2023
Deep learning-based attenuation map generation with simultaneously reconstructed PET activity and attenuation and low-dose application
Shi L, Zhang J, Toyonaga T, Shao D, Onofrey J, Lu Y. Deep learning-based attenuation map generation with simultaneously reconstructed PET activity and attenuation and low-dose application. Physics In Medicine And Biology 2023, 68: 035014. PMID: 36584395, DOI: 10.1088/1361-6560/acaf49.Peer-Reviewed Original Research
2016
Hypoxic glucose metabolism in glioblastoma as a potential prognostic factor
Toyonaga T, Yamaguchi S, Hirata K, Kobayashi K, Manabe O, Watanabe S, Terasaka S, Kobayashi H, Hattori N, Shiga T, Kuge Y, Tanaka S, Ito YM, Tamaki N. Hypoxic glucose metabolism in glioblastoma as a potential prognostic factor. European Journal Of Nuclear Medicine And Molecular Imaging 2016, 44: 611-619. PMID: 27752745, DOI: 10.1007/s00259-016-3541-z.Peer-Reviewed Original ResearchConceptsProgression-free survivalExtent of resectionStandardized uptake valuePositron emission tomographyGross tumor volumeFMISO positron emission tomographyMagnetic resonance imagingKarnofsky Performance ScaleOverall survivalTumor volumeGlioblastoma patientsHypoxia volumeFDG positron emission tomographyFluorodeoxyglucose positron emission tomographyPotential prognostic factorsTotal lesion glycolysisMetabolic tumor volumeHypoxic volumeVolume of interestGadolinium-enhanced T1-weighted MR imagesReference regionT1-weighted MR imagesCytoreduction surgeryFree survivalPrognostic factors