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155 related items for PubMed ID: 23886741

  • 1. Assessment of angiographic vascularity of meningiomas with dynamic susceptibility contrast-enhanced perfusion-weighted imaging and diffusion tensor imaging.
    Toh CH, Wei KC, Chang CN, Peng YW, Ng SH, Wong HF, Lin CP.
    AJNR Am J Neuroradiol; 2014 Feb; 35(2):263-9. PubMed ID: 23886741
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  • 5. Comparative Analysis of Diffusional Kurtosis Imaging, Diffusion Tensor Imaging, and Diffusion-Weighted Imaging in Grading and Assessing Cellular Proliferation of Meningiomas.
    Lin L, Bhawana R, Xue Y, Duan Q, Jiang R, Chen H, Chen X, Sun B, Lin H.
    AJNR Am J Neuroradiol; 2018 Jun; 39(6):1032-1038. PubMed ID: 29748203
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  • 7. Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging.
    Park YW, Oh J, You SC, Han K, Ahn SS, Choi YS, Chang JH, Kim SH, Lee SK.
    Eur Radiol; 2019 Aug; 29(8):4068-4076. PubMed ID: 30443758
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  • 8. Diffusion tensor magnetic resonance imaging for predicting the consistency of intracranial meningiomas.
    Romani R, Tang WJ, Mao Y, Wang DJ, Tang HL, Zhu FP, Che XM, Gong Y, Zheng K, Zhong P, Li SQ, Bao WM, Benner C, Wu JS, Zhou LF.
    Acta Neurochir (Wien); 2014 Oct; 156(10):1837-45. PubMed ID: 25002281
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  • 10. Differentiation between classic and atypical meningiomas with use of diffusion tensor imaging.
    Toh CH, Castillo M, Wong AM, Wei KC, Wong HF, Ng SH, Wan YL.
    AJNR Am J Neuroradiol; 2008 Oct; 29(9):1630-5. PubMed ID: 18583409
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  • 15. Role of diffusion tensor imaging in differentiating subtypes of meningiomas.
    Jolapara M, Kesavadas C, Radhakrishnan VV, Thomas B, Gupta AK, Bodhey N, Patro S, Saini J, George U, Sarma PS.
    J Neuroradiol; 2010 Dec; 37(5):277-83. PubMed ID: 20381865
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  • 20. The diagnostic value of using combined MR diffusion tensor imaging parameters to differentiate between low- and high-grade meningioma.
    Aslan K, Gunbey HP, Tomak L, Incesu L.
    Br J Radiol; 2018 Jul; 91(1088):20180088. PubMed ID: 29770735
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