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Journal Abstract Search

209 related items for PubMed ID: 33534038

  • 1.
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  • 2. Glucose Infusion Induced Change in Intracellular pH and Its Relationship with Tumor Glycolysis in a C6 Rat Model of Glioblastoma.
    Qi Q, Fox MS, Lim H, Sullivan R, Li A, Bellyou M, Desjardins L, McClennan A, Bartha R, Hoffman L, Scholl TJ, Lee TY, Thiessen JD.
    Mol Imaging Biol; 2023 Apr; 25(2):271-282. PubMed ID: 36418769
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  • 4. Magnetic Resonance Imaging Is More Sensitive Than PET for Detecting Treatment-Induced Cell Death-Dependent Changes in Glycolysis.
    Hesketh RL, Wang J, Wright AJ, Lewis DY, Denton AE, Grenfell R, Miller JL, Bielik R, Gehrung M, Fala M, Ros S, Xie B, Hu DE, Brindle KM.
    Cancer Res; 2019 Jul 15; 79(14):3557-3569. PubMed ID: 31088837
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  • 7. Reversed metabolic reprogramming as a measure of cancer treatment efficacy in rat C6 glioma model.
    Datta K, Lauritzen MH, Merchant M, Jang T, Liu SC, Hurd R, Recht L, Spielman DM.
    PLoS One; 2019 Jul 15; 14(12):e0225313. PubMed ID: 31830049
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  • 8. Tumor metabolism and perfusion ratio assessed by 18F-FDG PET/CT and DCE-MRI in breast cancer patients: Correlation with tumor subtype and histologic prognostic factors.
    An YS, Kang DK, Jung YS, Han S, Kim TH.
    Eur J Radiol; 2015 Jul 15; 84(7):1365-70. PubMed ID: 25886700
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  • 9. Simultaneous characterization of tumor cellularity and the Warburg effect with PET, MRI and hyperpolarized 13C-MRSI.
    Hundshammer C, Braeuer M, Müller CA, Hansen AE, Schillmaier M, Düwel S, Feuerecker B, Glaser SJ, Haase A, Weichert W, Steiger K, Cabello J, Schilling F, Hövener JB, Kjær A, Nekolla SG, Schwaiger M.
    Theranostics; 2018 Jul 15; 8(17):4765-4780. PubMed ID: 30279736
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  • 11. GlucoCEST MRI for the Evaluation Response to Chemotherapeutic and Metabolic Treatments in a Murine Triple-Negative Breast Cancer: A Comparison with[18F]F-FDG-PET.
    Capozza M, Anemone A, Dhakan C, Della Peruta M, Bracesco M, Zullino S, Villano D, Terreno E, Longo DL, Aime S.
    Mol Imaging Biol; 2022 Feb 15; 24(1):126-134. PubMed ID: 34383241
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  • 13. Integrated PET-MRI for Glioma Surveillance: Perfusion-Metabolism Discordance Rate and Association With Molecular Profiling.
    Seligman L, Kovanlikaya I, Pisapia DJ, Naeger DM, Magge R, Fine HA, Chiang GC.
    AJR Am J Roentgenol; 2019 Apr 15; 212(4):883-891. PubMed ID: 30779663
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  • 14. Relationship between multi-pool model-based chemical exchange saturation transfer imaging, intravoxel incoherent motion MRI, and 11C-methionine uptake on PET/CT in patients with gliomas.
    Takami Y, Norikane T, Kimura N, Mitamura K, Yamamoto Y, Miyake K, Miyoshi M, Nishiyama Y.
    Magn Reson Imaging; 2024 Sep 15; 111():148-156. PubMed ID: 38729226
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  • 15. Whole-tumor perfusion CT parameters and glucose metabolism measurements in head and neck squamous cell carcinomas: a pilot study using combined positron-emission tomography/CT imaging.
    Bisdas S, Spicer K, Rumboldt Z.
    AJNR Am J Neuroradiol; 2008 Aug 15; 29(7):1376-81. PubMed ID: 18483187
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  • 16. Repeated positron emission tomography-computed tomography and perfusion-computed tomography imaging in rectal cancer: fluorodeoxyglucose uptake corresponds with tumor perfusion.
    Janssen MH, Aerts HJ, Buijsen J, Lambin P, Lammering G, Öllers MC.
    Int J Radiat Oncol Biol Phys; 2012 Feb 01; 82(2):849-55. PubMed ID: 21392896
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  • 17. Concurrent functional and metabolic assessment of brain tumors using hybrid PET/MR imaging.
    Sacconi B, Raad RA, Lee J, Fine H, Kondziolka D, Golfinos JG, Babb JS, Jain R.
    J Neurooncol; 2016 Apr 01; 127(2):287-93. PubMed ID: 26729270
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