These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

268 related articles for article (PubMed ID: 30391622)

  • 1. Apparent Diffusion Coefficient as a Predictive Biomarker for Survival in Patients with Treatment-Naive Glioblastoma Using Quantitative Multiparametric Magnetic Resonance Profiling.
    Kim BS; Kim ST; Kim JH; Seol HJ; Nam DH; Shin HJ; Lee JI; Kong DS
    World Neurosurg; 2019 Feb; 122():e812-e820. PubMed ID: 30391622
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models.
    Kickingereder P; Burth S; Wick A; Götz M; Eidel O; Schlemmer HP; Maier-Hein KH; Wick W; Bendszus M; Radbruch A; Bonekamp D
    Radiology; 2016 Sep; 280(3):880-9. PubMed ID: 27326665
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction of survival with multi-scale radiomic analysis in glioblastoma patients.
    Chaddad A; Sabri S; Niazi T; Abdulkarim B
    Med Biol Eng Comput; 2018 Dec; 56(12):2287-2300. PubMed ID: 29915951
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Radiomics prognostication model in glioblastoma using diffusion- and perfusion-weighted MRI.
    Park JE; Kim HS; Jo Y; Yoo RE; Choi SH; Nam SJ; Kim JH
    Sci Rep; 2020 Mar; 10(1):4250. PubMed ID: 32144360
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Incremental Prognostic Value of ADC Histogram Analysis over MGMT Promoter Methylation Status in Patients with Glioblastoma.
    Choi YS; Ahn SS; Kim DW; Chang JH; Kang SG; Kim EH; Kim SH; Rim TH; Lee SK
    Radiology; 2016 Oct; 281(1):175-84. PubMed ID: 27120357
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiomic MRI Phenotyping of Glioblastoma: Improving Survival Prediction.
    Bae S; Choi YS; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Lee SK
    Radiology; 2018 Dec; 289(3):797-806. PubMed ID: 30277442
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multiparametric MR Imaging of Diffusion and Perfusion in Contrast-enhancing and Nonenhancing Components in Patients with Glioblastoma.
    Boonzaier NR; Larkin TJ; Matys T; van der Hoorn A; Yan JL; Price SJ
    Radiology; 2017 Jul; 284(1):180-190. PubMed ID: 28240563
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Diffusion weighted imaging in high-grade gliomas: A histogram-based analysis of apparent diffusion coefficient profile.
    Gihr G; Horvath-Rizea D; Hekeler E; Ganslandt O; Henkes H; Hoffmann KT; Scherlach C; Schob S
    PLoS One; 2021; 16(4):e0249878. PubMed ID: 33857203
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Structural and advanced imaging in predicting MGMT promoter methylation of primary glioblastoma: a region of interest based analysis.
    Han Y; Yan LF; Wang XB; Sun YZ; Zhang X; Liu ZC; Nan HY; Hu YC; Yang Y; Zhang J; Yu Y; Sun Q; Tian Q; Hu B; Xiao G; Wang W; Cui GB
    BMC Cancer; 2018 Feb; 18(1):215. PubMed ID: 29467012
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Radiomic subtyping improves disease stratification beyond key molecular, clinical, and standard imaging characteristics in patients with glioblastoma.
    Kickingereder P; Neuberger U; Bonekamp D; Piechotta PL; Götz M; Wick A; Sill M; Kratz A; Shinohara RT; Jones DTW; Radbruch A; Muschelli J; Unterberg A; Debus J; Schlemmer HP; Herold-Mende C; Pfister S; von Deimling A; Wick W; Capper D; Maier-Hein KH; Bendszus M
    Neuro Oncol; 2018 May; 20(6):848-857. PubMed ID: 29036412
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prognostic value of preoperative diffusion restriction in glioblastoma.
    Labbène E; Mahmoud M; Marrakchi-Kacem L; Ben Hamouda M
    Tunis Med; 2024 Feb; 102(2):94-99. PubMed ID: 38567475
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Enhancing tumor apparent diffusion coefficient histogram skewness stratifies the postoperative survival in recurrent glioblastoma multiforme patients undergoing salvage surgery.
    Zolal A; Juratli TA; Linn J; Podlesek D; Sitoci Ficici KH; Kitzler HH; Schackert G; Sobottka SB; Rieger B; Krex D
    J Neurooncol; 2016 May; 127(3):551-7. PubMed ID: 26830088
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Apparent diffusion coefficient histogram analysis for prediction of prognosis in glioblastoma.
    Kondo M; Uchiyama Y
    J Neuroradiol; 2018 Jul; 45(4):236-241. PubMed ID: 29274693
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of methylguanine methyltransferase promoter methylation in glioblastoma using dynamic contrast-enhanced magnetic resonance and diffusion tensor imaging.
    Ahn SS; Shin NY; Chang JH; Kim SH; Kim EH; Kim DW; Lee SK
    J Neurosurg; 2014 Aug; 121(2):367-73. PubMed ID: 24949678
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Correlation of apparent diffusion coefficient values measured by diffusion MRI and MGMT promoter methylation semiquantitatively analyzed with MS-MLPA in patients with glioblastoma multiforme.
    Sunwoo L; Choi SH; Park CK; Kim JW; Yi KS; Lee WJ; Yoon TJ; Song SW; Kim JE; Kim JY; Kim TM; Lee SH; Kim JH; Sohn CH; Park SH; Kim IH; Chang KH
    J Magn Reson Imaging; 2013 Feb; 37(2):351-8. PubMed ID: 23023975
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Glioblastoma radiomics to predict survival: Diffusion characteristics of surrounding nonenhancing tissue to select patients for extensive resection.
    Pasquini L; Di Napoli A; Napolitano A; Lucignani M; Dellepiane F; Vidiri A; Villani V; Romano A; Bozzao A
    J Neuroimaging; 2021 Nov; 31(6):1192-1200. PubMed ID: 34231927
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radiomics analysis of cerebral blood flow suggests a possible link between perfusion homogeneity and poor glioblastoma multiforme prognosis.
    Ebrahimi B
    Biomed Phys Eng Express; 2024 Sep; 10(6):. PubMed ID: 39214103
    [No Abstract]   [Full Text] [Related]  

  • 20. Mono-exponential, diffusion kurtosis and stretched exponential diffusion MR imaging response to chemoradiation in newly diagnosed glioblastoma.
    Chakhoyan A; Woodworth DC; Harris RJ; Lai A; Nghiemphu PL; Liau LM; Pope WB; Cloughesy TF; Ellingson BM
    J Neurooncol; 2018 Sep; 139(3):651-659. PubMed ID: 29855771
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.