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Journal Abstract Search

273 related items for PubMed ID: 30932289

  • 1. Association of Glioma Grading With Inflow-Based Vascular-Space-Occupancy MRI: A Preliminary Study at 3T.
    Li X, Liao S, Hua J, Guo L, Wang D, Xiao X, Zhou J, Liu X, Tan Y, Lu L, Xu Y, Wu Y.
    J Magn Reson Imaging; 2019 Dec; 50(6):1817-1823. PubMed ID: 30932289
    [Abstract] [Full Text] [Related]

  • 2. Noninvasive Assessment of O(6)-Methylguanine-DNA Methyltransferase Promoter Methylation Status in World Health Organization Grade II-IV Glioma Using Histogram Analysis of Inflow-Based Vascular-Space-Occupancy Combined with Structural Magnetic Resonance Imaging.
    He W, Li X, Hua J, Liao S, Guo L, Xiao X, Liu X, Zhou J, Wang W, Xu Y, Wu Y.
    J Magn Reson Imaging; 2021 Jul; 54(1):227-236. PubMed ID: 33590929
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  • 3. Measurement of arteriolar blood volume in brain tumors using MRI without exogenous contrast agent administration at 7T.
    Wu Y, Agarwal S, Jones CK, Webb AG, van Zijl PC, Hua J, Pillai JJ.
    J Magn Reson Imaging; 2016 Nov; 44(5):1244-1255. PubMed ID: 27028493
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  • 5. Textural features of dynamic contrast-enhanced MRI derived model-free and model-based parameter maps in glioma grading.
    Xie T, Chen X, Fang J, Kang H, Xue W, Tong H, Cao P, Wang S, Yang Y, Zhang W.
    J Magn Reson Imaging; 2018 Apr; 47(4):1099-1111. PubMed ID: 28845594
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  • 6. Glioma grading using a machine-learning framework based on optimized features obtained from T1 perfusion MRI and volumes of tumor components.
    Sengupta A, Ramaniharan AK, Gupta RK, Agarwal S, Singh A.
    J Magn Reson Imaging; 2019 Oct; 50(4):1295-1306. PubMed ID: 30895704
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  • 9. Differentiation of grade II/III and grade IV glioma by combining "T1 contrast-enhanced brain perfusion imaging" and susceptibility-weighted quantitative imaging.
    Saini J, Gupta PK, Sahoo P, Singh A, Patir R, Ahlawat S, Beniwal M, Thennarasu K, Santosh V, Gupta RK.
    Neuroradiology; 2018 Jan; 60(1):43-50. PubMed ID: 29090331
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  • 10. Glioma: Application of histogram analysis of pharmacokinetic parameters from T1-weighted dynamic contrast-enhanced MR imaging to tumor grading.
    Jung SC, Yeom JA, Kim JH, Ryoo I, Kim SC, Shin H, Lee AL, Yun TJ, Park CK, Sohn CH, Park SH, Choi SH.
    AJNR Am J Neuroradiol; 2014 Jun; 35(6):1103-10. PubMed ID: 24384119
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  • 11. 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
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  • 12. Preoperative grading of supratentorial gliomas using high or standard b-value diffusion-weighted MR imaging at 3T.
    Cihangiroglu MM, Ozturk-Isik E, Firat Z, Kilickesmez O, Ulug AM, Ture U.
    Diagn Interv Imaging; 2017 Mar; 98(3):261-268. PubMed ID: 28038915
    [Abstract] [Full Text] [Related]

  • 13. Discrimination between Glioblastoma and Solitary Brain Metastasis: Comparison of Inflow-Based Vascular-Space-Occupancy and Dynamic Susceptibility Contrast MR Imaging.
    Li X, Wang D, Liao S, Guo L, Xiao X, Liu X, Xu Y, Hua J, Pillai JJ, Wu Y.
    AJNR Am J Neuroradiol; 2020 Apr; 41(4):583-590. PubMed ID: 32139428
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  • 16. Whole-brain amide proton transfer (APT) and nuclear overhauser enhancement (NOE) imaging in glioma patients using low-power steady-state pulsed chemical exchange saturation transfer (CEST) imaging at 7T.
    Heo HY, Jones CK, Hua J, Yadav N, Agarwal S, Zhou J, van Zijl PC, Pillai JJ.
    J Magn Reson Imaging; 2016 Jul; 44(1):41-50. PubMed ID: 26663561
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  • 19. Predicting grade of cerebral glioma using vascular-space occupancy MR imaging.
    Lu H, Pollack E, Young R, Babb JS, Johnson G, Zagzag D, Carson R, Jensen JH, Helpern JA, Law M.
    AJNR Am J Neuroradiol; 2008 Feb; 29(2):373-8. PubMed ID: 17974612
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