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 *

214 related articles for article (PubMed ID: 31196485)

  • 1. 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]  

  • 2. 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]  

  • 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. 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]  

  • 5. Overall survival prediction in glioblastoma multiforme patients from volumetric, shape and texture features using machine learning.
    Sanghani P; Ang BT; King NKK; Ren H
    Surg Oncol; 2018 Dec; 27(4):709-714. PubMed ID: 30449497
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. A quantitative study of shape descriptors from glioblastoma multiforme phenotypes for predicting survival outcome.
    Chaddad A; Desrosiers C; Hassan L; Tanougast C
    Br J Radiol; 2016 Dec; 89(1068):20160575. PubMed ID: 27781499
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Novel Radiomic Features Based on Joint Intensity Matrices for Predicting Glioblastoma Patient Survival Time.
    Chaddad A; Daniel P; Desrosiers C; Toews M; Abdulkarim B
    IEEE J Biomed Health Inform; 2019 Mar; 23(2):795-804. PubMed ID: 29993848
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Machine-learning based radiogenomics analysis of MRI features and metagenes in glioblastoma multiforme patients with different survival time.
    Liao X; Cai B; Tian B; Luo Y; Song W; Li Y
    J Cell Mol Med; 2019 Jun; 23(6):4375-4385. PubMed ID: 31001929
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Development and Validation of a MRI-Based Radiomics Prognostic Classifier in Patients with Primary Glioblastoma Multiforme.
    Chen X; Fang M; Dong D; Liu L; Xu X; Wei X; Jiang X; Qin L; Liu Z
    Acad Radiol; 2019 Oct; 26(10):1292-1300. PubMed ID: 30660472
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. T2 Fluid-Attenuated Inversion Recovery Resection for Glioblastoma Involving Eloquent Brain Areas Facilitated Through Awake Craniotomy and Clinical Outcome.
    Lu M; Fu ZH; He XJ; Lu JK; Deng XQ; Lin DL; Gu YM; Fan YF; Lai MY; Li J; Yang MM; Chen ZP
    World Neurosurg; 2020 Mar; 135():e738-e747. PubMed ID: 31899397
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The effect of glioblastoma heterogeneity on survival stratification: a multimodal MR imaging texture analysis.
    Liu Y; Zhang X; Feng N; Yin L; He Y; Xu X; Lu H
    Acta Radiol; 2018 Oct; 59(10):1239-1246. PubMed ID: 29430935
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radiomic Analysis Reveals Prognostic Information in T1-Weighted Baseline Magnetic Resonance Imaging in Patients With Glioblastoma.
    Ingrisch M; Schneider MJ; Nörenberg D; Negrao de Figueiredo G; Maier-Hein K; Suchorska B; Schüller U; Albert N; Brückmann H; Reiser M; Tonn JC; Ertl-Wagner B
    Invest Radiol; 2017 Jun; 52(6):360-366. PubMed ID: 28079702
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 11.