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Research ArticleBRAIN

Diffusion Tensor Imaging in Glioblastoma Multiforme and Brain Metastases: The Role of p, q, L, and Fractional Anisotropy

W. Wang, C.E. Steward and P.M. Desmond
American Journal of Neuroradiology January 2009, 30 (1) 203-208; DOI: https://doi.org/10.3174/ajnr.A1303
W. Wang
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C.E. Steward
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P.M. Desmond
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    Fig 1.

    Axial images of a patient with GBM. A–C, T1-weighted CE, T2-weighted SE EPI, and FA map, respectively. D, T1-weighted CE image with 4 regions of interest: tumor (necrotic/hemorrhagic core excluded) and corresponding contralateral region of interest in black and peritumoral margin and corresponding contralateral region of interest in white. E, SE EPI image with 4 regions of interest: peritumoral edema and corresponding contralateral region of interest in black and adjacent NAWM and corresponding contralateral region of interest in white. F, FA map with the region of interest of tumor in black and of peritumoral margin in white. Arrows point to areas of abnormality: gross tumor, necrotic core, peritumoral edema, and FA abnormality.

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    Fig 2.

    Boxplot of mean q value shows from left to right: GBM gross tumor (G1), peritumoral edema (G2) and margin (G3), and adjacent NAWM (G4); metastases gross tumor (M1), peritumoral edema (M2) and margin (M3), and adjacent NAWM (M4); and normal brain compiled from all regions (N). Also shown are outliers: mild outliers represented by a circle and extreme outliers, by an asterisk.

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    Fig 3.

    Boxplot of mean FA value shows from left to right: GBM gross tumor (G1), peritumoral edema (G2) and margin (G3), and adjacent NAWM (G4); metastases gross tumor (M1), peritumoral edema (M2) and margin (M3), and adjacent NAWM (M4); and normal brain compiled from all regions (N). Also shown are outliers: mild outliers represented by a circle and extreme outliers, by an asterisk.

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American Journal of Neuroradiology: 30 (1)
American Journal of Neuroradiology
Vol. 30, Issue 1
January 2009
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Diffusion Tensor Imaging in Glioblastoma Multiforme and Brain Metastases: The Role of p, q, L, and Fractional Anisotropy
W. Wang, C.E. Steward, P.M. Desmond
American Journal of Neuroradiology Jan 2009, 30 (1) 203-208; DOI: 10.3174/ajnr.A1303

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Diffusion Tensor Imaging in Glioblastoma Multiforme and Brain Metastases: The Role of p, q, L, and Fractional Anisotropy
W. Wang, C.E. Steward, P.M. Desmond
American Journal of Neuroradiology Jan 2009, 30 (1) 203-208; DOI: 10.3174/ajnr.A1303
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  • Diffusion-Weighted Imaging and Diffusion Tensor Imaging for Differentiating High-Grade Glioma from Solitary Brain Metastasis: A Systematic Review and Meta-Analysis
  • Combining Diffusion Tensor Metrics and DSC Perfusion Imaging: Can It Improve the Diagnostic Accuracy in Differentiating Tumefactive Demyelination from High-Grade Glioma?
  • MR Fingerprinting of Adult Brain Tumors: Initial Experience
  • Multimodal Imaging in Malignant Brain Tumors: Enhancing the Preoperative Risk Evaluation for Motor Deficits with a Combined Hybrid MRI-PET and Navigated Transcranial Magnetic Stimulation Approach
  • Diffusion-Weighted Imaging in Cancer: Physical Foundations and Applications of Restriction Spectrum Imaging
  • Diagnostic Utility of Diffusion Tensor Imaging in Differentiating Glioblastomas from Brain Metastases
  • Utility of Diffusion Tensor Imaging in Evaluation of the Peritumoral Region in Patients with Primary and Metastatic Brain Tumors
  • Differentiation of Brain Abscesses from Necrotic Glioblastomas and Cystic Metastatic Brain Tumors with Diffusion Tensor Imaging
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