BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

165 related articles for article (PubMed ID: 29794775)

  • 1. Predicting epidermal growth factor receptor gene amplification status in glioblastoma multiforme by quantitative enhancement and necrosis features deriving from conventional magnetic resonance imaging.
    Dong F; Zeng Q; Jiang B; Yu X; Wang W; Xu J; Yu J; Li Q; Zhang M
    Medicine (Baltimore); 2018 May; 97(21):e10833. PubMed ID: 29794775
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Potential role of preoperative conventional MRI including diffusion measurements in assessing epidermal growth factor receptor gene amplification status in patients with glioblastoma.
    Young RJ; Gupta A; Shah AD; Graber JJ; Schweitzer AD; Prager A; Shi W; Zhang Z; Huse J; Omuro AM
    AJNR Am J Neuroradiol; 2013 Dec; 34(12):2271-7. PubMed ID: 23811973
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Pretreatment Dynamic Susceptibility Contrast MRI Perfusion in Glioblastoma: Prediction of EGFR Gene Amplification.
    Gupta A; Young RJ; Shah AD; Schweitzer AD; Graber JJ; Shi W; Zhang Z; Huse J; Omuro AM
    Clin Neuroradiol; 2015 Jun; 25(2):143-50. PubMed ID: 24474262
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Quantitative analysis of enhanced MRI features for predicting epidermal growth factor receptor gene amplification in glioblastoma multiforme with radiomic method].
    Dong F; Li Q; Jiang B; Zeng Q; Hua J; Zhang M
    Zhejiang Da Xue Xue Bao Yi Xue Ban; 2017 May; 46(5):492-497. PubMed ID: 29488715
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Noninvasive O
    Hajianfar G; Shiri I; Maleki H; Oveisi N; Haghparast A; Abdollahi H; Oveisi M
    World Neurosurg; 2019 Dec; 132():e140-e161. PubMed ID: 31505292
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A quantitative study of shape descriptors from glioblastoma multiforme phenotypes for predicting survival outcome.
    Chaddad A; Desrosiers C; Hassan L; Tanougast C
    Br J Radiol; 2016 Dec; 89(1068):20160575. PubMed ID: 27781499
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development and Validation of a MRI-Based Radiomics Prognostic Classifier in Patients with Primary Glioblastoma Multiforme.
    Chen X; Fang M; Dong D; Liu L; Xu X; Wei X; Jiang X; Qin L; Liu Z
    Acad Radiol; 2019 Oct; 26(10):1292-1300. PubMed ID: 30660472
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multiregional radiomics profiling from multiparametric MRI: Identifying an imaging predictor of IDH1 mutation status in glioblastoma.
    Li ZC; Bai H; Sun Q; Zhao Y; Lv Y; Zhou J; Liang C; Chen Y; Liang D; Zheng H
    Cancer Med; 2018 Dec; 7(12):5999-6009. PubMed ID: 30426720
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Differentiation of Recurrent Glioblastoma from Delayed Radiation Necrosis by Using Voxel-based Multiparametric Analysis of MR Imaging Data.
    Yoon RG; Kim HS; Koh MJ; Shim WH; Jung SC; Kim SJ; Kim JH
    Radiology; 2017 Oct; 285(1):206-213. PubMed ID: 28535120
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Epidermal Growth Factor Receptor Extracellular Domain Mutations in Glioblastoma Present Opportunities for Clinical Imaging and Therapeutic Development.
    Binder ZA; Thorne AH; Bakas S; Wileyto EP; Bilello M; Akbari H; Rathore S; Ha SM; Zhang L; Ferguson CJ; Dahiya S; Bi WL; Reardon DA; Idbaih A; Felsberg J; Hentschel B; Weller M; Bagley SJ; Morrissette JJD; Nasrallah MP; Ma J; Zanca C; Scott AM; Orellana L; Davatzikos C; Furnari FB; O'Rourke DM
    Cancer Cell; 2018 Jul; 34(1):163-177.e7. PubMed ID: 29990498
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Outcome prediction in patients with glioblastoma by using imaging, clinical, and genomic biomarkers: focus on the nonenhancing component of the tumor.
    Jain R; Poisson LM; Gutman D; Scarpace L; Hwang SN; Holder CA; Wintermark M; Rao A; Colen RR; Kirby J; Freymann J; Jaffe CC; Mikkelsen T; Flanders A
    Radiology; 2014 Aug; 272(2):484-93. PubMed ID: 24646147
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Machine-learning based radiogenomics analysis of MRI features and metagenes in glioblastoma multiforme patients with different survival time.
    Liao X; Cai B; Tian B; Luo Y; Song W; Li Y
    J Cell Mol Med; 2019 Jun; 23(6):4375-4385. PubMed ID: 31001929
    [TBL] [Abstract][Full Text] [Related]  

  • 13. EGFR wild-type amplification and activation promote invasion and development of glioblastoma independent of angiogenesis.
    Talasila KM; Soentgerath A; Euskirchen P; Rosland GV; Wang J; Huszthy PC; Prestegarden L; Skaftnesmo KO; Sakariassen PØ; Eskilsson E; Stieber D; Keunen O; Brekka N; Moen I; Nigro JM; Vintermyr OK; Lund-Johansen M; Niclou S; Mørk SJ; Enger PO; Bjerkvig R; Miletic H
    Acta Neuropathol; 2013 May; 125(5):683-98. PubMed ID: 23429996
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Novel Radiomic Features Based on Joint Intensity Matrices for Predicting Glioblastoma Patient Survival Time.
    Chaddad A; Daniel P; Desrosiers C; Toews M; Abdulkarim B
    IEEE J Biomed Health Inform; 2019 Mar; 23(2):795-804. PubMed ID: 29993848
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Glioblastoma multiforme versus solitary supratentorial brain metastasis: differentiation based on morphology and magnetic resonance signal characteristics.
    Maurer MH; Synowitz M; Badakshi H; Lohkamp LN; Wüstefeld J; Schäfer ML; Wiener E
    Rofo; 2013 Mar; 185(3):235-40. PubMed ID: 23196836
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prognostic value of epidermal growth factor receptor in patients with glioblastoma multiforme.
    Shinojima N; Tada K; Shiraishi S; Kamiryo T; Kochi M; Nakamura H; Makino K; Saya H; Hirano H; Kuratsu J; Oka K; Ishimaru Y; Ushio Y
    Cancer Res; 2003 Oct; 63(20):6962-70. PubMed ID: 14583498
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Role of FDG-PET/MRI, FDG-PET/CT, and Dynamic Susceptibility Contrast Perfusion MRI in Differentiating Radiation Necrosis from Tumor Recurrence in Glioblastomas.
    Hojjati M; Badve C; Garg V; Tatsuoka C; Rogers L; Sloan A; Faulhaber P; Ros PR; Wolansky LJ
    J Neuroimaging; 2018 Jan; 28(1):118-125. PubMed ID: 28718993
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Dynamic contrast-enhanced MRI radiomics model predicts epidermal growth factor receptor amplification in glioblastoma, IDH-wildtype.
    Sohn B; Park K; Ahn SS; Park YW; Choi SH; Kang SG; Kim SH; Chang JH; Lee SK
    J Neurooncol; 2023 Sep; 164(2):341-351. PubMed ID: 37689596
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Predicting TERT promoter mutation using MR images in patients with wild-type IDH1 glioblastoma.
    Yamashita K; Hatae R; Hiwatashi A; Togao O; Kikuchi K; Momosaka D; Yamashita Y; Kuga D; Hata N; Yoshimoto K; Suzuki SO; Iwaki T; Iihara K; Honda H
    Diagn Interv Imaging; 2019; 100(7-8):411-419. PubMed ID: 30948344
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Diagnostic utility of intravoxel incoherent motion mr imaging in differentiating primary central nervous system lymphoma from glioblastoma multiforme.
    Yamashita K; Hiwatashi A; Togao O; Kikuchi K; Kitamura Y; Mizoguchi M; Yoshimoto K; Kuga D; Suzuki SO; Baba S; Isoda T; Iwaki T; Iihara K; Honda H
    J Magn Reson Imaging; 2016 Nov; 44(5):1256-1261. PubMed ID: 27093558
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.