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 *

475 related articles for article (PubMed ID: 28079702)

  • 21. Geometrical Measures Obtained from Pretreatment Postcontrast T1 Weighted MRIs Predict Survival Benefits from Bevacizumab in Glioblastoma Patients.
    Molina D; Pérez-Beteta J; Martínez-González A; Sepúlveda JM; Peralta S; Gil-Gil MJ; Reynes G; Herrero A; De Las Peñas R; Luque R; Capellades J; Balaña C; Pérez-García VM
    PLoS One; 2016; 11(8):e0161484. PubMed ID: 27557121
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Regression based overall survival prediction of glioblastoma multiforme patients using a single discovery cohort of multi-institutional multi-channel MR images.
    Sanghani P; Ang BT; King NKK; Ren H
    Med Biol Eng Comput; 2019 Aug; 57(8):1683-1691. PubMed ID: 31104273
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. 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]  

  • 25. Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets.
    Um H; Tixier F; Bermudez D; Deasy JO; Young RJ; Veeraraghavan H
    Phys Med Biol; 2019 Aug; 64(16):165011. PubMed ID: 31272093
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Machine learning-based radiomic evaluation of treatment response prediction in glioblastoma.
    Patel M; Zhan J; Natarajan K; Flintham R; Davies N; Sanghera P; Grist J; Duddalwar V; Peet A; Sawlani V
    Clin Radiol; 2021 Aug; 76(8):628.e17-628.e27. PubMed ID: 33941364
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Morphologic Features on MR Imaging Classify Multifocal Glioblastomas in Different Prognostic Groups.
    Pérez-Beteta J; Molina-García D; Villena M; Rodríguez MJ; Velásquez C; Martino J; Meléndez-Asensio B; Rodríguez de Lope Á; Morcillo R; Sepúlveda JM; Hernández-Laín A; Ramos A; Barcia JA; Lara PC; Albillo D; Revert A; Arana E; Pérez-García VM
    AJNR Am J Neuroradiol; 2019 Apr; 40(4):634-640. PubMed ID: 30923085
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Morphological MRI-based features provide pretreatment survival prediction in glioblastoma.
    Pérez-Beteta J; Molina-García D; Martínez-González A; Henares-Molina A; Amo-Salas M; Luque B; Arregui E; Calvo M; Borrás JM; Martino J; Velásquez C; Meléndez-Asensio B; de Lope ÁR; Moreno R; Barcia JA; Asenjo B; Benavides M; Herruzo I; Lara PC; Cabrera R; Albillo D; Navarro M; Pérez-Romasanta LA; Revert A; Arana E; Pérez-García VM
    Eur Radiol; 2019 Apr; 29(4):1968-1977. PubMed ID: 30324390
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Prognostic value of contrast enhancement and FLAIR for survival in newly diagnosed glioblastoma treated with and without bevacizumab: results from ACRIN 6686.
    Boxerman JL; Zhang Z; Safriel Y; Rogg JM; Wolf RL; Mohan S; Marques H; Sorensen AG; Gilbert MR; Barboriak DP
    Neuro Oncol; 2018 Sep; 20(10):1400-1410. PubMed ID: 29590461
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. Contrast-enhanced MR Imaging versus Contrast-enhanced US: A Comparison in Glioblastoma Surgery by Using Intraoperative Fusion Imaging.
    Prada F; Vitale V; Del Bene M; Boffano C; Sconfienza LM; Pinzi V; Mauri G; Solbiati L; Sakas G; Kolev V; D'Incerti L; DiMeco F
    Radiology; 2017 Oct; 285(1):242-249. PubMed ID: 28562204
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Quantitative T1-mapping detects cloudy-enhancing tumor compartments predicting outcome of patients with glioblastoma.
    Müller A; Jurcoane A; Kebir S; Ditter P; Schrader F; Herrlinger U; Tzaridis T; Mädler B; Schild HH; Glas M; Hattingen E
    Cancer Med; 2017 Jan; 6(1):89-99. PubMed ID: 27891815
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Machine learning based on multi-parametric magnetic resonance imaging to differentiate glioblastoma multiforme from primary cerebral nervous system lymphoma.
    Nakagawa M; Nakaura T; Namimoto T; Kitajima M; Uetani H; Tateishi M; Oda S; Utsunomiya D; Makino K; Nakamura H; Mukasa A; Hirai T; Yamashita Y
    Eur J Radiol; 2018 Nov; 108():147-154. PubMed ID: 30396648
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. Radiomics features to distinguish glioblastoma from primary central nervous system lymphoma on multi-parametric MRI.
    Kim Y; Cho HH; Kim ST; Park H; Nam D; Kong DS
    Neuroradiology; 2018 Dec; 60(12):1297-1305. PubMed ID: 30232517
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Rapid Early Tumor Progression is Prognostic in Glioblastoma Patients.
    Palmer JD; Bhamidipati D; Shukla G; Sharma D; Glass J; Kim L; Evans JJ; Judy K; Farrell C; Andrews DW; Wang ZW; Peiper SC; Werner-Wasik M; Shi W
    Am J Clin Oncol; 2019 May; 42(5):481-486. PubMed ID: 30973372
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings.
    Prasanna P; Patel J; Partovi S; Madabhushi A; Tiwari P
    Eur Radiol; 2017 Oct; 27(10):4188-4197. PubMed ID: 27778090
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma.
    Beig N; Patel J; Prasanna P; Hill V; Gupta A; Correa R; Bera K; Singh S; Partovi S; Varadan V; Ahluwalia M; Madabhushi A; Tiwari P
    Sci Rep; 2018 Jan; 8(1):7. PubMed ID: 29311558
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 24.