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Research ArticleADULT BRAIN
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MR Imaging–Based Analysis of Glioblastoma Multiforme: Estimation of IDH1 Mutation Status

K. Yamashita, A. Hiwatashi, O. Togao, K. Kikuchi, R. Hatae, K. Yoshimoto, M. Mizoguchi, S.O. Suzuki, T. Yoshiura and H. Honda
American Journal of Neuroradiology January 2016, 37 (1) 58-65; DOI: https://doi.org/10.3174/ajnr.A4491
K. Yamashita
aFrom the Departments of Clinical Radiology (K.Yamashita, A.H., O.T., K.K., T.Y., H.H.)
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A. Hiwatashi
aFrom the Departments of Clinical Radiology (K.Yamashita, A.H., O.T., K.K., T.Y., H.H.)
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O. Togao
aFrom the Departments of Clinical Radiology (K.Yamashita, A.H., O.T., K.K., T.Y., H.H.)
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K. Kikuchi
aFrom the Departments of Clinical Radiology (K.Yamashita, A.H., O.T., K.K., T.Y., H.H.)
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R. Hatae
bNeurosurgery (R.H., K.Yoshimoto., M.M.)
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K. Yoshimoto
bNeurosurgery (R.H., K.Yoshimoto., M.M.)
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M. Mizoguchi
bNeurosurgery (R.H., K.Yoshimoto., M.M.)
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S.O. Suzuki
cNeuropathology (S.O.S.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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T. Yoshiura
aFrom the Departments of Clinical Radiology (K.Yamashita, A.H., O.T., K.K., T.Y., H.H.)
dDepartment of Radiology (T.Y.), Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
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H. Honda
aFrom the Departments of Clinical Radiology (K.Yamashita, A.H., O.T., K.K., T.Y., H.H.)
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American Journal of Neuroradiology: 37 (1)
American Journal of Neuroradiology
Vol. 37, Issue 1
1 Jan 2016
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Cite this article
K. Yamashita, A. Hiwatashi, O. Togao, K. Kikuchi, R. Hatae, K. Yoshimoto, M. Mizoguchi, S.O. Suzuki, T. Yoshiura, H. Honda
MR Imaging–Based Analysis of Glioblastoma Multiforme: Estimation of IDH1 Mutation Status
American Journal of Neuroradiology Jan 2016, 37 (1) 58-65; DOI: 10.3174/ajnr.A4491

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MR Imaging–Based Analysis of Glioblastoma Multiforme: Estimation of IDH1 Mutation Status
K. Yamashita, A. Hiwatashi, O. Togao, K. Kikuchi, R. Hatae, K. Yoshimoto, M. Mizoguchi, S.O. Suzuki, T. Yoshiura, H. Honda
American Journal of Neuroradiology Jan 2016, 37 (1) 58-65; DOI: 10.3174/ajnr.A4491
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Cited By...

  • High-Grade Astrocytoma with Piloid Features: A Dual Institutional Review of Imaging Findings of a Novel Entity
  • Fractal Dimension and Lacunarity Measures of Glioma Subcomponents Provide a Quantitative Platform Discriminative of IDH Status: A Radiogenomics Approach in Gliomas
  • Development and Validation of a Deep Learning-Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images
  • Involvement of the Olfactory Apparatus by Gliomas
  • Molecular Subtype Classification in Lower-Grade Glioma with Accelerated DTI
  • Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging
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