BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

465 related articles for article (PubMed ID: 28842741)

  • 1. Response Assessment in Neuro-Oncology criteria, contrast enhancement and perfusion MRI for assessing progression in glioblastoma.
    Tensaouti F; Khalifa J; Lusque A; Plas B; Lotterie JA; Berry I; Laprie A; Cohen-Jonathan Moyal E; Lubrano V
    Neuroradiology; 2017 Oct; 59(10):1013-1020. PubMed ID: 28842741
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of pseudoprogression in patients with glioblastoma multiforme using dynamic magnetic resonance imaging with ferumoxytol calls RANO criteria into question.
    Nasseri M; Gahramanov S; Netto JP; Fu R; Muldoon LL; Varallyay C; Hamilton BE; Neuwelt EA
    Neuro Oncol; 2014 Aug; 16(8):1146-54. PubMed ID: 24523362
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Refinement of response assessment in neuro-oncology (RANO) using non-enhancing lesion type and contrast enhancement evolution pattern in IDH wild-type glioblastomas.
    Moon HH; Kim HS; Park JE; Kim YH; Kim JH
    BMC Cancer; 2021 Jun; 21(1):654. PubMed ID: 34074252
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prognosis prediction of measurable enhancing lesion after completion of standard concomitant chemoradiotherapy and adjuvant temozolomide in glioblastoma patients: application of dynamic susceptibility contrast perfusion and diffusion-weighted imaging.
    Kim JH; Choi SH; Ryoo I; Yun TJ; Kim TM; Lee SH; Park CK; Kim JH; Sohn CH; Park SH; Kim IH
    PLoS One; 2014; 9(11):e113587. PubMed ID: 25419975
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study.
    Kickingereder P; Isensee F; Tursunova I; Petersen J; Neuberger U; Bonekamp D; Brugnara G; Schell M; Kessler T; Foltyn M; Harting I; Sahm F; Prager M; Nowosielski M; Wick A; Nolden M; Radbruch A; Debus J; Schlemmer HP; Heiland S; Platten M; von Deimling A; van den Bent MJ; Gorlia T; Wick W; Bendszus M; Maier-Hein KH
    Lancet Oncol; 2019 May; 20(5):728-740. PubMed ID: 30952559
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 18F-FCho PET and MRI for the prediction of response in glioblastoma patients according to the RANO criteria.
    Bolcaen J; Acou M; Boterberg T; Vanhove C; De Vos F; Van den Broecke C; Van Holen R; Deblaere K; Goethals I
    Nucl Med Commun; 2017 Mar; 38(3):242-249. PubMed ID: 27984537
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Small increases in enhancement on MRI may predict survival post radiotherapy in patients with glioblastoma.
    Gzell CE; Wheeler HR; McCloud P; Kastelan M; Back M
    J Neurooncol; 2016 May; 128(1):67-74. PubMed ID: 26879084
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Susceptibility and Tumor Size Changes During the Time Course of Standard Treatment in Recurrent Glioblastoma.
    van Leyen K; Roelcke U; Gruber P; Remonda L; Berberat J
    J Neuroimaging; 2019 Sep; 29(5):645-649. PubMed ID: 31112344
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Dynamic Contrast-Enhanced MR Imaging of Nonenhancing T2 High-Signal-Intensity Lesions in Baseline and Posttreatment Glioblastoma: Temporal Change and Prognostic Value.
    Hwang I; Choi SH; Park CK; Kim TM; Park SH; Won JK; Kim IH; Lee ST; Yoo RE; Kang KM; Yun TJ; Kim JH; Sohn CH
    AJNR Am J Neuroradiol; 2020 Jan; 41(1):49-56. PubMed ID: 31806595
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Interobserver variability in the radiological assessment of magnetic resonance imaging (MRI) including perfusion MRI in glioblastoma multiforme.
    Kerkhof M; Hagenbeek RE; van der Kallen BF; Lycklama À Nijeholt GJ; Dirven L; Taphoorn MJ; Vos MJ
    Eur J Neurol; 2016 Oct; 23(10):1528-33. PubMed ID: 27424939
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Visual inspection of MR relative cerebral blood volume maps has limited value for distinguishing progression from pseudoprogression in glioblastoma multiforme patients.
    Kerkhof M; Tans PL; Hagenbeek RE; Lycklama À Nijeholt GJ; Holla FK; Postma TJ; Straathof CS; Dirven L; Taphoorn MJ; Vos MJ
    CNS Oncol; 2017 Oct; 6(4):297-306. PubMed ID: 28984142
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Ventricle contact is associated with lower survival and increased peritumoral perfusion in glioblastoma.
    van Dijken BRJ; Jan van Laar P; Li C; Yan JL; Boonzaier NR; Price SJ; ; van der Hoorn A
    J Neurosurg; 2018 Oct; 131(3):717-723. PubMed ID: 30485234
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Pseudoprogression in patients with glioblastoma: added value of arterial spin labeling to dynamic susceptibility contrast perfusion MR imaging.
    Choi YJ; Kim HS; Jahng GH; Kim SJ; Suh DC
    Acta Radiol; 2013 May; 54(4):448-54. PubMed ID: 23592805
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Prediction of survival and progression in glioblastoma patients using temporal perfusion changes during radiochemotherapy.
    Larsson C; Groote I; Vardal J; Kleppestø M; Odland A; Brandal P; Due-Tønnessen P; Holme SS; Hope TR; Meling TR; Fosse E; Emblem KE; Bjørnerud A
    Magn Reson Imaging; 2020 May; 68():106-112. PubMed ID: 32004711
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The Impact of T2/FLAIR Evaluation per RANO Criteria on Response Assessment of Recurrent Glioblastoma Patients Treated with Bevacizumab.
    Huang RY; Rahman R; Ballman KV; Felten SJ; Anderson SK; Ellingson BM; Nayak L; Lee EQ; Abrey LE; Galanis E; Reardon DA; Pope WB; Cloughesy TF; Wen PY
    Clin Cancer Res; 2016 Feb; 22(3):575-81. PubMed ID: 26490307
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Modified Criteria for Radiographic Response Assessment in Glioblastoma Clinical Trials.
    Ellingson BM; Wen PY; Cloughesy TF
    Neurotherapeutics; 2017 Apr; 14(2):307-320. PubMed ID: 28108885
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 24.