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 *

247 related articles for article (PubMed ID: 26471746)

  • 1. Texture Feature Ratios from Relative CBV Maps of Perfusion MRI Are Associated with Patient Survival in Glioblastoma.
    Lee J; Jain R; Khalil K; Griffith B; Bosca R; Rao G; Rao A
    AJNR Am J Neuroradiol; 2016 Jan; 37(1):37-43. PubMed ID: 26471746
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Multicenter imaging outcomes study of The Cancer Genome Atlas glioblastoma patient cohort: imaging predictors of overall and progression-free survival.
    Wangaryattawanich P; Hatami M; Wang J; Thomas G; Flanders A; Kirby J; Wintermark M; Huang ES; Bakhtiari AS; Luedi MM; Hashmi SS; Rubin DL; Chen JY; Hwang SN; Freymann J; Holder CA; Zinn PO; Colen RR
    Neuro Oncol; 2015 Nov; 17(11):1525-37. PubMed ID: 26203066
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Pre-Operative Perfusion Skewness and Kurtosis Are Potential Predictors of Progression-Free Survival after Partial Resection of Newly Diagnosed Glioblastoma.
    Paik W; Kim HS; Choi CG; Kim SJ
    Korean J Radiol; 2016; 17(1):117-26. PubMed ID: 26798224
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Hypervascular tumor volume estimated by comparison to a large-scale cerebral blood volume radiographic atlas predicts survival in recurrent glioblastoma treated with bevacizumab.
    Leu K; Enzmann DR; Woodworth DC; Harris RJ; Tran AN; Lai A; Nghiemphu PL; Pope WB; Cloughesy TF; Ellingson BM
    Cancer Imaging; 2014 Nov; 14(1):31. PubMed ID: 25608485
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Association of overall survival in patients with newly diagnosed glioblastoma with contrast-enhanced perfusion MRI: Comparison of intraindividually matched T1 - and T2 (*) -based bolus techniques.
    Bonekamp D; Deike K; Wiestler B; Wick W; Bendszus M; Radbruch A; Heiland S
    J Magn Reson Imaging; 2015 Jul; 42(1):87-96. PubMed ID: 25244574
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Cluster Analysis of DSC MRI, Dynamic Contrast-Enhanced MRI, and DWI Parameters Associated with Prognosis in Patients with Glioblastoma after Removal of the Contrast-Enhancing Component: A Preliminary Study.
    Chung H; Seo H; Choi SH; Park CK; Kim TM; Park SH; Won JK; Lee JH; Lee ST; Lee JY; Hwang I; Kang KM; Yun TJ
    AJNR Am J Neuroradiol; 2022 Nov; 43(11):1559-1566. PubMed ID: 36175084
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Prognostic value of combined visualization of MR diffusion and perfusion maps in glioblastoma.
    Deike K; Wiestler B; Graf M; Reimer C; Floca RO; Bäumer P; Kickingereder P; Heiland S; Schlemmer HP; Wick W; Bendszus M; Radbruch A
    J Neurooncol; 2016 Feb; 126(3):463-72. PubMed ID: 26518541
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Evaluation of tumor shape features for overall survival prognosis in glioblastoma multiforme patients.
    Sanghani P; Ti AB; Kam King NK; Ren H
    Surg Oncol; 2019 Jun; 29():178-183. PubMed ID: 31196485
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Extracted magnetic resonance texture features discriminate between phenotypes and are associated with overall survival in glioblastoma multiforme patients.
    Chaddad A; Tanougast C
    Med Biol Eng Comput; 2016 Nov; 54(11):1707-1718. PubMed ID: 26960324
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Computer-extracted MR imaging features are associated with survival in glioblastoma patients.
    Mazurowski MA; Zhang J; Peters KB; Hobbs H
    J Neurooncol; 2014 Dec; 120(3):483-8. PubMed ID: 25151504
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of tumor-derived MRI-texture features for discrimination of molecular subtypes and prediction of 12-month survival status in glioblastoma.
    Yang D; Rao G; Martinez J; Veeraraghavan A; Rao A
    Med Phys; 2015 Nov; 42(11):6725-35. PubMed ID: 26520762
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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; 18(5):735-43. PubMed ID: 26538618
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Robust texture features for response monitoring of glioblastoma multiforme on T1-weighted and T2-FLAIR MR images: a preliminary investigation in terms of identification and segmentation.
    Assefa D; Keller H; Ménard C; Laperriere N; Ferrari RJ; Yeung I
    Med Phys; 2010 Apr; 37(4):1722-36. PubMed ID: 20443493
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomic analysis of multi-contrast brain MRI for the prediction of survival in patients with glioblastoma multiforme.
    Chaddad A; Desrosiers C; Toews M
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():4035-4038. PubMed ID: 28325002
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Multiparametric magnetic resonance imaging to differentiate high-grade gliomas and brain metastases.
    Mouthuy N; Cosnard G; Abarca-Quinones J; Michoux N
    J Neuroradiol; 2012 Dec; 39(5):301-7. PubMed ID: 22197404
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Which combination of MR imaging modalities is best for predicting recurrent glioblastoma? Study of diagnostic accuracy and reproducibility.
    Kim HS; Goh MJ; Kim N; Choi CG; Kim SJ; Kim JH
    Radiology; 2014 Dec; 273(3):831-43. PubMed ID: 24885857
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Algorithmic three-dimensional analysis of tumor shape in MRI improves prognosis of survival in glioblastoma: a multi-institutional study.
    Czarnek N; Clark K; Peters KB; Mazurowski MA
    J Neurooncol; 2017 Mar; 132(1):55-62. PubMed ID: 28074320
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.