BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

159 related articles for article (PubMed ID: 28493055)

  • 1. A Patient-Specific Anisotropic Diffusion Model for Brain Tumour Spread.
    Swan A; Hillen T; Bowman JC; Murtha AD
    Bull Math Biol; 2018 May; 80(5):1259-1291. PubMed ID: 28493055
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Glioma follow white matter tracts: a multiscale DTI-based model.
    Engwer C; Hillen T; Knappitsch M; Surulescu C
    J Math Biol; 2015 Sep; 71(3):551-82. PubMed ID: 25212910
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Generalized q-sampling imaging fiber tractography reveals displacement and infiltration of fiber tracts in low-grade gliomas.
    Celtikci P; Fernandes-Cabral DT; Yeh FC; Panesar SS; Fernandez-Miranda JC
    Neuroradiology; 2018 Mar; 60(3):267-280. PubMed ID: 29372286
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Mathematical modelling of glioma growth: the use of Diffusion Tensor Imaging (DTI) data to predict the anisotropic pathways of cancer invasion.
    Painter KJ; Hillen T
    J Theor Biol; 2013 Apr; 323():25-39. PubMed ID: 23376578
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Neurite density imaging versus imaging of microscopic anisotropy in diffusion MRI: A model comparison using spherical tensor encoding.
    Lampinen B; Szczepankiewicz F; Mårtensson J; van Westen D; Sundgren PC; Nilsson M
    Neuroimage; 2017 Feb; 147():517-531. PubMed ID: 27903438
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Optic radiations evaluation in patients affected by high-grade gliomas: a side-by-side constrained spherical deconvolution and diffusion tensor imaging study.
    Mormina E; Arrigo A; Calamuneri A; Alafaci C; Tomasello F; Morabito R; Marino S; Longo M; Vinci SL; Granata F
    Neuroradiology; 2016 Nov; 58(11):1067-1075. PubMed ID: 27516100
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Simulation of anisotropic growth of low-grade gliomas using diffusion tensor imaging.
    Jbabdi S; Mandonnet E; Duffau H; Capelle L; Swanson KR; Pélégrini-Issac M; Guillevin R; Benali H
    Magn Reson Med; 2005 Sep; 54(3):616-24. PubMed ID: 16088879
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Early detection of human glioma sphere xenografts in mouse brain using diffusion MRI at 14.1 T.
    Porcari P; Hegi ME; Lei H; Hamou MF; Vassallo I; Capuani S; Gruetter R; Mlynarik V
    NMR Biomed; 2016 Nov; 29(11):1577-1589. PubMed ID: 27717037
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Effective equations for anisotropic glioma spread with proliferation: a multiscale approach and comparisons with previous settings.
    Engwer C; Hunt A; Surulescu C
    Math Med Biol; 2016 Dec; 33(4):435-459. PubMed ID: 26363335
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Detection of tumour invasion into the pyramidal tract in glioma patients with sensorimotor deficits by correlation of (18)F-fluoroethyl-L: -tyrosine PET and magnetic resonance diffusion tensor imaging.
    Stadlbauer A; Pölking E; Prante O; Nimsky C; Buchfelder M; Kuwert T; Linke R; Doelken M; Ganslandt O
    Acta Neurochir (Wien); 2009 Sep; 151(9):1061-9. PubMed ID: 19468675
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Diffusion tensor imaging provides an insight into the microstructure of meningiomas, high-grade gliomas, and peritumoral edema.
    De Belder FE; Oot AR; Van Hecke W; Venstermans C; Menovsky T; Van Marck V; Van Goethem J; Van den Hauwe L; Vandekerckhove M; Parizel PM
    J Comput Assist Tomogr; 2012; 36(5):577-82. PubMed ID: 22992609
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Brain glioma growth model using reaction-diffusion equation with viscous stress tensor on brain MR images.
    Yuan J; Liu L
    Magn Reson Imaging; 2016 Feb; 34(2):114-9. PubMed ID: 26518060
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Quantitative evaluation of diffusion tensor imaging for clinical management of glioma.
    Li Y; Zhang W
    Neurosurg Rev; 2020 Jun; 43(3):881-891. PubMed ID: 30417213
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An inverse problem formulation for parameter estimation of a reaction-diffusion model of low grade gliomas.
    Gholami A; Mang A; Biros G
    J Math Biol; 2016 Jan; 72(1-2):409-33. PubMed ID: 25963601
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Assessment of tissue heterogeneity using diffusion tensor and diffusion kurtosis imaging for grading gliomas.
    Raja R; Sinha N; Saini J; Mahadevan A; Rao KN; Swaminathan A
    Neuroradiology; 2016 Dec; 58(12):1217-1231. PubMed ID: 27796448
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Tumor invasion margin on the Riemannian space of brain fibers.
    Mosayebi P; Cobzas D; Murtha A; Jagersand M
    Med Image Anal; 2012 Feb; 16(2):361-73. PubMed ID: 22154876
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Diffusion anisotropy color-coded map of cerebral white matter: quantitative comparison between orthogonal anisotropic diffusion-weighted imaging and diffusion tensor imaging.
    Uwano I; Sasaki M; Kudo K; Fujiwara S; Yamaguchi M; Saito A; Ogasawara K; Ogawa A
    J Neuroimaging; 2013 Apr; 23(2):197-201. PubMed ID: 23216668
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Application of diffusion tensor imaging in preoperation and postoperation patients of glioma with 3.0 Tesla MRI].
    Li X; Yu RT; Xu K; Li FC; Fan YC; Gao WC; Guo KQ; Pan X; Yang C
    Zhonghua Yi Xue Za Zhi; 2009 May; 89(19):1300-4. PubMed ID: 19615179
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Three-Dimensional Printed Modeling of Diffuse Low-Grade Gliomas and Associated White Matter Tract Anatomy.
    Thawani JP; Singh N; Pisapia JM; Abdullah KG; Parker D; Pukenas BA; Zager EL; Verma R; Brem S
    Neurosurgery; 2017 Apr; 80(4):635-645. PubMed ID: 28362934
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Diffusion-weighted MR of the brain: methodology and clinical application.
    Mascalchi M; Filippi M; Floris R; Fonda C; Gasparotti R; Villari N
    Radiol Med; 2005 Mar; 109(3):155-97. PubMed ID: 15775887
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.