BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

314 related articles for article (PubMed ID: 27502603)

  • 1. Do perfusion and diffusion MRI predict glioblastoma relapse sites following chemoradiation?
    Khalifa J; Tensaouti F; Lotterie JA; Catalaa I; Chaltiel L; Benouaich-Amiel A; Gomez-Roca C; Noël G; Truc G; Péran P; Berry I; Sunyach MP; Charissoux M; Johnson C; Cohen-Jonathan Moyal E; Laprie A
    J Neurooncol; 2016 Oct; 130(1):181-192. PubMed ID: 27502603
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Combination of IVIM-DWI and 3D-ASL for differentiating true progression from pseudoprogression of Glioblastoma multiforme after concurrent chemoradiotherapy: study protocol of a prospective diagnostic trial.
    Liu ZC; Yan LF; Hu YC; Sun YZ; Tian Q; Nan HY; Yu Y; Sun Q; Wang W; Cui GB
    BMC Med Imaging; 2017 Feb; 17(1):10. PubMed ID: 28143434
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of a candidate biomarker from perfusion MRI to anticipate glioblastoma progression after chemoradiation.
    Khalifa J; Tensaouti F; Chaltiel L; Lotterie JA; Catalaa I; Sunyach MP; Ibarrola D; Noël G; Truc G; Walker P; Magné N; Charissoux M; Ken S; Peran P; Berry I; Moyal EC; Laprie A
    Eur Radiol; 2016 Nov; 26(11):4194-4203. PubMed ID: 26843012
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identifying Voxels at Risk for Progression in Glioblastoma Based on Dosimetry, Physiologic and Metabolic MRI.
    Anwar M; Molinaro AM; Morin O; Chang SM; Haas-Kogan DA; Nelson SJ; Lupo JM
    Radiat Res; 2017 Sep; 188(3):303-313. PubMed ID: 28723274
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Voxel-based evidence of perfusion normalization in glioblastoma patients included in a phase I-II trial of radiotherapy/tipifarnib combination.
    Ken S; Deviers A; Filleron T; Catalaa I; Lotterie JA; Khalifa J; Lubrano V; Berry I; Péran P; Celsis P; Moyal EC; Laprie A
    J Neurooncol; 2015 Sep; 124(3):465-73. PubMed ID: 26189058
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Distinguishing Tumor Recurrence From Radiation Necrosis in Treated Glioblastoma Using Multiparametric MRI.
    Feng A; Yuan P; Huang T; Li L; Lyu J
    Acad Radiol; 2022 Sep; 29(9):1320-1331. PubMed ID: 34896001
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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; 208(1):57-65. PubMed ID: 27726412
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Uninterpretable Dynamic Susceptibility Contrast-Enhanced Perfusion MR Images in Patients with Post-Treatment Glioblastomas: Cross-Validation of Alternative Imaging Options.
    Heo YJ; Kim HS; Park JE; Choi CG; Kim SJ
    PLoS One; 2015; 10(8):e0136380. PubMed ID: 26296086
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Clinical parameters outweigh diffusion- and perfusion-derived MRI parameters in predicting survival in newly diagnosed glioblastoma.
    Burth S; Kickingereder P; Eidel O; Tichy D; Bonekamp D; Weberling L; Wick A; Löw S; Hertenstein A; Nowosielski M; Schlemmer HP; Wick W; Bendszus M; Radbruch A
    Neuro Oncol; 2016 Dec; 18(12):1673-1679. PubMed ID: 27298312
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of Early Response to Anti-Angiogenic Therapy in Recurrent Glioblastoma: Amide Proton Transfer-weighted and Perfusion-weighted MRI compared with Diffusion-weighted MRI.
    Park JE; Kim HS; Park SY; Jung SC; Kim JH; Heo HY
    Radiology; 2020 May; 295(2):397-406. PubMed ID: 32154775
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Incorporating diffusion- and perfusion-weighted MRI into a radiomics model improves diagnostic performance for pseudoprogression in glioblastoma patients.
    Kim JY; Park JE; Jo Y; Shim WH; Nam SJ; Kim JH; Yoo RE; Choi SH; Kim HS
    Neuro Oncol; 2019 Feb; 21(3):404-414. PubMed ID: 30107606
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Imaging biomarkers guided anti-angiogenic therapy for malignant gliomas.
    Kong Z; Yan C; Zhu R; Wang J; Wang Y; Wang Y; Wang R; Feng F; Ma W
    Neuroimage Clin; 2018; 20():51-60. PubMed ID: 30069427
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of the lactate-to-N-acetyl-aspartate ratio defined with magnetic resonance spectroscopic imaging before radiation therapy as a new predictive marker of the site of relapse in patients with glioblastoma multiforme.
    Deviers A; Ken S; Filleron T; Rowland B; Laruelo A; Catalaa I; Lubrano V; Celsis P; Berry I; Mogicato G; Cohen-Jonathan Moyal E; Laprie A
    Int J Radiat Oncol Biol Phys; 2014 Oct; 90(2):385-93. PubMed ID: 25104068
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Diffusion-weighted MRI and ADC versus FET-PET and GdT1w-MRI for gross tumor volume (GTV) delineation in re-irradiation of recurrent glioblastoma.
    Popp I; Bott S; Mix M; Oehlke O; Schimek-Jasch T; Nieder C; Nestle U; Bock M; Yuh WTC; Meyer PT; Weber WA; Urbach H; Mader I; Grosu AL
    Radiother Oncol; 2019 Jan; 130():121-131. PubMed ID: 30219612
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Primary central nervous system lymphoma and atypical glioblastoma: multiparametric differentiation by using diffusion-, perfusion-, and susceptibility-weighted MR imaging.
    Kickingereder P; Wiestler B; Sahm F; Heiland S; Roethke M; Schlemmer HP; Wick W; Bendszus M; Radbruch A
    Radiology; 2014 Sep; 272(3):843-50. PubMed ID: 24814181
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multiparametric imaging-based differentiation of lymphoma and glioblastoma: using T1-perfusion, diffusion, and susceptibility-weighted MRI.
    Saini J; Kumar Gupta P; Awasthi A; Pandey CM; Singh A; Patir R; Ahlawat S; Sadashiva N; Mahadevan A; Kumar Gupta R
    Clin Radiol; 2018 Nov; 73(11):986.e7-986.e15. PubMed ID: 30197047
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Diffusion and perfusion MR patterns of central nervous system lymphomas.
    Neska-Matuszewska M; Zimny A; Bladowska J; Sąsiadek M
    Adv Clin Exp Med; 2018 Aug; 27(8):1099-1108. PubMed ID: 29975467
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI.
    Sauwen N; Acou M; Van Cauter S; Sima DM; Veraart J; Maes F; Himmelreich U; Achten E; Van Huffel S
    Neuroimage Clin; 2016; 12():753-764. PubMed ID: 27812502
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction of survival in patients affected by glioblastoma: histogram analysis of perfusion MRI.
    Romano A; Pasquini L; Di Napoli A; Tavanti F; Boellis A; Rossi Espagnet MC; Minniti G; Bozzao A
    J Neurooncol; 2018 Sep; 139(2):455-460. PubMed ID: 29721752
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Differentiation of glioblastoma multiforme, metastases and primary central nervous system lymphomas using multiparametric perfusion and diffusion MR imaging of a tumor core and a peritumoral zone-Searching for a practical approach.
    Neska-Matuszewska M; Bladowska J; Sąsiadek M; Zimny A
    PLoS One; 2018; 13(1):e0191341. PubMed ID: 29342201
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.