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Journal Abstract Search

291 related items for PubMed ID: 31087724

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. 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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  • 3. 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 21; 15(1):4. PubMed ID: 25889239
    [Abstract] [Full Text] [Related]

  • 4. 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 21; 50(4):1295-1306. PubMed ID: 30895704
    [Abstract] [Full Text] [Related]

  • 5. 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 21; 59(8):980-987. PubMed ID: 29065704
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  • 7. Intergrating conventional MRI, texture analysis of dynamic contrast-enhanced MRI, and susceptibility weighted imaging for glioma grading.
    Su CQ, Lu SS, Han QY, Zhou MD, Hong XN.
    Acta Radiol; 2019 Jun 21; 60(6):777-787. PubMed ID: 30244590
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  • 8. Semiquantitative assessment of intratumoral susceptibility signals using non-contrast-enhanced high-field high-resolution susceptibility-weighted imaging in patients with gliomas: comparison with MR perfusion imaging.
    Park MJ, Kim HS, Jahng GH, Ryu CW, Park SM, Kim SY.
    AJNR Am J Neuroradiol; 2009 Aug 21; 30(7):1402-8. PubMed ID: 19369602
    [Abstract] [Full Text] [Related]

  • 9. 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 21; 47(4):1099-1111. PubMed ID: 28845594
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  • 13. 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 21; 79(6):839-846. PubMed ID: 27332779
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  • 14. Evaluation of preoperative magnetic resonance imaging features and diagnostic effectiveness of grades II and III intracranial solitary fibroma.
    Ran Y, Wang X, Zhang Y, Chen R, Liu C, Ran Y, Wang W, Ma X, Wang M, Cheng J.
    Eur J Med Res; 2024 Jul 19; 29(1):377. PubMed ID: 39030639
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  • 15. Contribution of susceptibility- and diffusion-weighted magnetic resonance imaging for grading gliomas.
    Xu J, Xu H, Zhang W, Zheng J.
    Exp Ther Med; 2018 Jun 19; 15(6):5113-5118. PubMed ID: 29805537
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  • 16. 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 19; 58(12):1217-1231. PubMed ID: 27796448
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  • 17. Combined value of susceptibility-weighted and perfusion-weighted imaging in assessing who grade for brain astrocytomas.
    Wang XC, Zhang H, Tan Y, Qin JB, Wu XF, Wang L, Zhang L.
    J Magn Reson Imaging; 2014 Jun 19; 39(6):1569-74. PubMed ID: 24987755
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  • 18. Differentiating intracranial solitary fibrous tumor/hemangiopericytoma from meningioma using diffusion-weighted imaging and susceptibility-weighted imaging.
    Chen T, Jiang B, Zheng Y, She D, Zhang H, Xing Z, Cao D.
    Neuroradiology; 2020 Feb 19; 62(2):175-184. PubMed ID: 31673748
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  • 19. 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 19; 44(1):41-50. PubMed ID: 26663561
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