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PUBMED FOR HANDHELDS

Journal Abstract Search


248 related items for PubMed ID: 29733920

  • 1. Evaluation of the apparent diffusion coefficient in patients with recurrent glioblastoma under treatment with bevacizumab with radiographic pseudoresponse.
    Auer TA, Breit HC, Marini F, Renovanz M, Ringel F, Sommer CJ, Brockmann MA, Tanyildizi Y.
    J Neuroradiol; 2019 Feb; 46(1):36-43. PubMed ID: 29733920
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  • 2. Apparent diffusion coefficient and tumor volume measurements help stratify progression-free survival of bevacizumab-treated patients with recurrent glioblastoma multiforme.
    Buemi F, Guzzardi G, Del Sette B, Sponghini AP, Matheoud R, Soligo E, Trisoglio A, Carriero A, Stecco A.
    Neuroradiol J; 2019 Aug; 32(4):241-249. PubMed ID: 31066622
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  • 6. Survival prediction using apparent diffusion coefficient values in recurrent glioblastoma under bevacizumab treatment: an updated systematic review and meta-analysis.
    Liu D, Li Z.
    Diagn Interv Radiol; 2024 Jul 08; 30(4):270-274. PubMed ID: 38291976
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  • 7. PET/MR in recurrent glioblastoma patients treated with regorafenib: [18F]FET and DWI-ADC for response assessment and survival prediction.
    Lombardi G, Spimpolo A, Berti S, Campi C, Anglani MG, Simeone R, Evangelista L, Causin F, Zorzi G, Gorgoni G, Caccese M, Padovan M, Zagonel V, Cecchin D.
    Br J Radiol; 2022 Jan 01; 95(1129):20211018. PubMed ID: 34762492
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  • 8. Predicting Glioblastoma Recurrence by Early Changes in the Apparent Diffusion Coefficient Value and Signal Intensity on FLAIR Images.
    Chang PD, Chow DS, Yang PH, Filippi CG, Lignelli A.
    AJR Am J Roentgenol; 2017 Jan 01; 208(1):57-65. PubMed ID: 27726412
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  • 9. Histogram analysis of apparent diffusion coefficient within enhancing and nonenhancing tumor volumes in recurrent glioblastoma patients treated with bevacizumab.
    Rahman R, Hamdan A, Zweifler R, Jiang H, Norden AD, Reardon DA, Mukundan S, Wen PY, Huang RY.
    J Neurooncol; 2014 Aug 01; 119(1):149-58. PubMed ID: 24805151
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  • 10. Recurrent glioblastoma multiforme: ADC histogram analysis predicts response to bevacizumab treatment.
    Pope WB, Kim HJ, Huo J, Alger J, Brown MS, Gjertson D, Sai V, Young JR, Tekchandani L, Cloughesy T, Mischel PS, Lai A, Nghiemphu P, Rahmanuddin S, Goldin J.
    Radiology; 2009 Jul 01; 252(1):182-9. PubMed ID: 19561256
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  • 16. Early assessment of recurrent glioblastoma response to bevacizumab treatment by diffusional kurtosis imaging: a preliminary report.
    Lee CY, Kalra A, Spampinato MV, Tabesh A, Jensen JH, Helpern JA, de Fatima Falangola M, Van Horn MH, Giglio P.
    Neuroradiol J; 2019 Oct 01; 32(5):317-327. PubMed ID: 31282311
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  • 17. Large-volume low apparent diffusion coefficient lesions predict poor survival in bevacizumab-treated glioblastoma patients.
    Zhang M, Gulotta B, Thomas A, Kaley T, Karimi S, Gavrilovic I, Woo KM, Zhang Z, Arevalo-Perez J, Holodny AI, Rosenblum M, Young RJ.
    Neuro Oncol; 2016 May 01; 18(5):735-43. PubMed ID: 26538618
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