BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 29371168)

  • 21. Clinical Value of Vascular Permeability Estimates Using Dynamic Susceptibility Contrast MRI: Improved Diagnostic Performance in Distinguishing Hypervascular Primary CNS Lymphoma from Glioblastoma.
    Lee B; Park JE; Bjørnerud A; Kim JH; Lee JY; Kim HS
    AJNR Am J Neuroradiol; 2018 Aug; 39(8):1415-1422. PubMed ID: 30026384
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Differentiating Between Primary Central Nervous System Lymphomas and Glioblastomas: Combined Use of Perfusion-Weighted and Diffusion-Weighted Magnetic Resonance Imaging.
    Makino K; Hirai T; Nakamura H; Kuroda JI; Shinojima N; Uetani H; Kitajima M; Yano S
    World Neurosurg; 2018 Apr; 112():e1-e6. PubMed ID: 29104150
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Perfusion MRI as a diagnostic biomarker for differentiating glioma from brain metastasis: a systematic review and meta-analysis.
    Suh CH; Kim HS; Jung SC; Choi CG; Kim SJ
    Eur Radiol; 2018 Sep; 28(9):3819-3831. PubMed ID: 29619517
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Susceptibility-Weighted Imaging of Glioma: Update on Current Imaging Status and Future Directions.
    Hsu CC; Watkins TW; Kwan GN; Haacke EM
    J Neuroimaging; 2016 Jul; 26(4):383-90. PubMed ID: 27227542
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Utility of arterial spin labelling MRI for discriminating atypical high-grade glioma from primary central nervous system lymphoma.
    Di N; Cheng W; Chen H; Zhai F; Liu Y; Mu X; Chu Z; Lu N; Liu X; Wang B
    Clin Radiol; 2019 Feb; 74(2):165.e1-165.e9. PubMed ID: 30415766
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Diffusion-weighted MRI combined with susceptibility-weighted MRI: added diagnostic value for four common lateral ventricular tumors.
    Yu Y; Zhang H; Xiao Z; She D; Xing Z; Yang X; Cao D
    Acta Radiol; 2018 Aug; 59(8):980-987. PubMed ID: 29065704
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Quantitative vs. semiquantitative assessment of intratumoral susceptibility signals in patients with different grades of glioma.
    Bhattacharjee R; Gupta RK; Patir R; Vaishya S; Ahlawat S; Singh A
    J Magn Reson Imaging; 2020 Jan; 51(1):225-233. PubMed ID: 31087724
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Diagnostic Accuracy of the Diffusion-Weighted Imaging Method Used in Association With the Apparent Diffusion Coefficient for Differentiating Between Primary Central Nervous System Lymphoma and High-Grade Glioma: Systematic Review and Meta-Analysis.
    Du X; He Y; Lin W
    Front Neurol; 2022; 13():882334. PubMed ID: 35812103
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Utility of dynamic contrast-enhanced magnetic resonance imaging for differentiating glioblastoma, primary central nervous system lymphoma and brain metastatic tumor.
    Lu S; Gao Q; Yu J; Li Y; Cao P; Shi H; Hong X
    Eur J Radiol; 2016 Oct; 85(10):1722-1727. PubMed ID: 27666608
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Role of intra-tumoral vasculature imaging features on susceptibility weighted imaging in differentiating primary central nervous system lymphoma from glioblastoma: a multiparametric comparison with pathological validation.
    Bhattacharjee R; Gupta M; Singh T; Sharma S; Khanna G; Parvaze SP; Patir R; Vaishya S; Ahlawat S; Singh A; Gupta RK
    Neuroradiology; 2022 Sep; 64(9):1801-1818. PubMed ID: 35435463
    [TBL] [Abstract][Full Text] [Related]  

  • 31. The utility of diffusion MRI with quantitative ADC measurements for differentiating high-grade from low-grade cerebral gliomas: Evidence from a meta-analysis.
    Zhang L; Min Z; Tang M; Chen S; Lei X; Zhang X
    J Neurol Sci; 2017 Feb; 373():9-15. PubMed ID: 28131237
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Brain Glioma Localization Diagnosis Based on Magnetic Resonance Imaging.
    Jin Y; Peng H; Peng J
    World Neurosurg; 2021 May; 149():325-332. PubMed ID: 32992057
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Role of magnetic resonance spectroscopy for the differentiation of recurrent glioma from radiation necrosis: a systematic review and meta-analysis.
    Zhang H; Ma L; Wang Q; Zheng X; Wu C; Xu BN
    Eur J Radiol; 2014 Dec; 83(12):2181-2189. PubMed ID: 25452098
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Diagnostic performance of DWI for differentiating primary central nervous system lymphoma from glioblastoma: a systematic review and meta-analysis.
    Lu X; Xu W; Wei Y; Li T; Gao L; Fu X; Yao Y; Wang L
    Neurol Sci; 2019 May; 40(5):947-956. PubMed ID: 30706241
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Accuracy of ADC derived from DWI for differentiating high-grade from low-grade gliomas: Systematic review and meta-analysis.
    Wang QP; Lei DQ; Yuan Y; Xiong NX
    Medicine (Baltimore); 2020 Feb; 99(8):e19254. PubMed ID: 32080132
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Quantitative Evaluation of Diffusion and Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Differentiation Between Primary Central Nervous System Lymphoma and Glioblastoma.
    Lu S; Wang S; Gao Q; Zhou M; Li Y; Cao P; Hong X; Shi H
    J Comput Assist Tomogr; 2017; 41(6):898-903. PubMed ID: 28806317
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Differentiation of primary central nervous system lymphomas and glioblastomas: comparisons of diagnostic performance of dynamic susceptibility contrast-enhanced perfusion MR imaging without and with contrast-leakage correction.
    Toh CH; Wei KC; Chang CN; Ng SH; Wong HF
    AJNR Am J Neuroradiol; 2013; 34(6):1145-9. PubMed ID: 23348763
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Meta-analysis of the diagnostic performance of diffusion magnetic resonance imaging with apparent diffusion coefficient measurements for differentiating glioma recurrence from pseudoprogression.
    Yu Y; Ma Y; Sun M; Jiang W; Yuan T; Tong D
    Medicine (Baltimore); 2020 Jun; 99(23):e20270. PubMed ID: 32501974
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Glioma grading by microvascular permeability parameters derived from dynamic contrast-enhanced MRI and intratumoral susceptibility signal on susceptibility weighted imaging.
    Li X; Zhu Y; Kang H; Zhang Y; Liang H; Wang S; Zhang W
    Cancer Imaging; 2015 Mar; 15(1):4. PubMed ID: 25889239
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Role of magnetic resonance spectroscopy to differentiate high-grade gliomas from metastases.
    Wang Q; Zhang J; Xu W; Chen X; Zhang J; Xu B
    Tumour Biol; 2017 Jun; 39(6):1010428317710030. PubMed ID: 28631566
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.