BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

441 related articles for article (PubMed ID: 17645851)

  • 41. [Cystic meningioma simulating glioblastoma in x-ray computed tomography].
    Panzarasa G; Voci A; Formaggio G; Allegra G; Geuna E
    Neurochirurgie; 1987; 33(5):378-85. PubMed ID: 3320794
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Whole brain CT perfusion combined with CT angiography in patients with subarachnoid hemorrhage and cerebral vasospasm.
    Zhang H; Zhang B; Li S; Liang C; Xu K; Li S
    Clin Neurol Neurosurg; 2013 Dec; 115(12):2496-501. PubMed ID: 24210268
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Quantitative analysis of CT-perfusion parameters in the evaluation of brain gliomas and metastases.
    Di Nallo AM; Vidiri A; Marzi S; Mirri A; Fabi A; Carapella CM; Pace A; Crecco M
    J Exp Clin Cancer Res; 2009 Mar; 28(1):38. PubMed ID: 19284885
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Diagnostic Value of Fractal Analysis for the Differentiation of Brain Tumors Using 3-Tesla Magnetic Resonance Susceptibility-Weighted Imaging.
    Di Ieva A; Le Reste PJ; Carsin-Nicol B; Ferre JC; Cusimano MD
    Neurosurgery; 2016 Dec; 79(6):839-846. PubMed ID: 27332779
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Dynamic CT perfusion imaging of intra-axial brain tumours: differentiation of high-grade gliomas from primary CNS lymphomas.
    Schramm P; Xyda A; Klotz E; Tronnier V; Knauth M; Hartmann M
    Eur Radiol; 2010 Oct; 20(10):2482-90. PubMed ID: 20495977
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Assesment of perfusion in glial tumors with arterial spin labeling; comparison with dynamic susceptibility contrast method.
    Cebeci H; Aydin O; Ozturk-Isik E; Gumus C; Inecikli F; Bekar A; Kocaeli H; Hakyemez B
    Eur J Radiol; 2014 Oct; 83(10):1914-9. PubMed ID: 25087109
    [TBL] [Abstract][Full Text] [Related]  

  • 47. MRI of intracranial intraventricular lesions.
    Muly S; Liu S; Lee R; Nicolaou S; Rojas R; Khosa F
    Clin Imaging; 2018; 52():226-239. PubMed ID: 30138862
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Quantitative apparent diffusion coefficients in the characterization of brain tumors and associated peritumoral edema.
    Server A; Kulle B; Maehlen J; Josefsen R; Schellhorn T; Kumar T; Langberg CW; Nakstad PH
    Acta Radiol; 2009 Jul; 50(6):682-9. PubMed ID: 19449234
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Computerized tomography for diagnosis of supratentorial tumors.
    Ketonen L
    Acta Neurol Scand Suppl; 1978; 67():153-64. PubMed ID: 281089
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Potential role of CT perfusion parameters in the identification of solitary intra-axial brain tumor grading.
    Fainardi E; Di Biase F; Borrelli M; Saletti A; Cavallo M; Sarubbo S; Ceruti S; Tamarozzi R; Chieregato A
    Acta Neurochir Suppl; 2010; 106():283-7. PubMed ID: 19812965
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Brain volume perfusion CT performed with 128-detector row CT system in patients with cerebral gliomas: a feasibility study.
    Xyda A; Haberland U; Klotz E; Bock HC; Jung K; Knauth M; Schramm R; Psychogios MN; Erb G; Schramm P
    Eur Radiol; 2011 Sep; 21(9):1811-9. PubMed ID: 21573969
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Tumor vascular leakiness and blood volume estimates in oligodendrogliomas using perfusion CT: an analysis of perfusion parameters helping further characterize genetic subtypes as well as differentiate from astroglial tumors.
    Narang J; Jain R; Scarpace L; Saksena S; Schultz LR; Rock JP; Rosenblum M; Patel SC; Mikkelsen T
    J Neurooncol; 2011 Apr; 102(2):287-93. PubMed ID: 20680399
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Quantification of perfusion and permeability in multiple sclerosis: dynamic contrast-enhanced MRI in 3D at 3T.
    Ingrisch M; Sourbron S; Morhard D; Ertl-Wagner B; Kümpfel T; Hohlfeld R; Reiser M; Glaser C
    Invest Radiol; 2012 Apr; 47(4):252-8. PubMed ID: 22373532
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Investigating brain tumor differentiation with diffusion and perfusion metrics at 3T MRI using pattern recognition techniques.
    Svolos P; Tsolaki E; Kapsalaki E; Theodorou K; Fountas K; Fezoulidis I; Tsougos I
    Magn Reson Imaging; 2013 Nov; 31(9):1567-77. PubMed ID: 23906533
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Influence of Thin Slice Reconstruction on CT Brain Perfusion Analysis.
    Bennink E; Oosterbroek J; Horsch AD; Dankbaar JW; Velthuis BK; Viergever MA; de Jong HW
    PLoS One; 2015; 10(9):e0137766. PubMed ID: 26361391
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Lateral ventricular neoplasms of the brain: differential diagnosis based on clinical, CT, and MR findings.
    Jelinek J; Smirniotopoulos JG; Parisi JE; Kanzer M
    AJR Am J Roentgenol; 1990 Aug; 155(2):365-72. PubMed ID: 2115270
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Current status and future challenges in cerebral blood flow mapping in intracranial tumors.
    Mirzai S; Samii M
    Keio J Med; 2000 Feb; 49 Suppl 1():A16-24. PubMed ID: 10750329
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Exploration of CT Images Based on the BN-U-net-W Network Segmentation Algorithm in Glioma Surgery.
    Yu Y; Du Z; Yuan C; Li J
    Contrast Media Mol Imaging; 2022; 2022():4476412. PubMed ID: 35494212
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Experimental study of multi-slice spiral CT perfusion imaging in VX2 soft-tissue tumor of rabbits.
    Zhang J; Wang R; Wang M; Li Y; Yang H
    J Huazhong Univ Sci Technolog Med Sci; 2006; 26(3):341-3. PubMed ID: 16961288
    [TBL] [Abstract][Full Text] [Related]  

  • 60. [Tumor differentiation by multivariate discriminant procedures in CT absorption analyses].
    Hopfenmüller W; Kazner E; Meese W
    Digitale Bilddiagn; 1987 Mar; 7(1):30-4. PubMed ID: 3568545
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 23.