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Index by author

August 01, 2018; Volume 39,Issue 8

  1. Delgado, A.F.

    1. Pediatrics
      Arterial Spin-Labeling in Children with Brain Tumor: A Meta-Analysis
      A.F. Delgado, F. De Luca, P. Hanagandi, D. van Westen and A.F. Delgado
      American Journal of Neuroradiology August 2018, 39 (8) 1536-1542; DOI: https://doi.org/10.3174/ajnr.A5727
    2. Pediatrics
      Arterial Spin-Labeling in Children with Brain Tumor: A Meta-Analysis
      A.F. Delgado, F. De Luca, P. Hanagandi, D. van Westen and A.F. Delgado
      American Journal of Neuroradiology August 2018, 39 (8) 1536-1542; DOI: https://doi.org/10.3174/ajnr.A5727

  2. De Luca, F.

    1. Pediatrics
      Arterial Spin-Labeling in Children with Brain Tumor: A Meta-Analysis
      A.F. Delgado, F. De Luca, P. Hanagandi, D. van Westen and A.F. Delgado
      American Journal of Neuroradiology August 2018, 39 (8) 1536-1542; DOI: https://doi.org/10.3174/ajnr.A5727

  3. Delwail, V.

    1. FELLOWS' JOURNAL CLUBAdult Brain
      Added Value of Spectroscopy to Perfusion MRI in the Differential Diagnostic Performance of Common Malignant Brain Tumors
      A. Vallée, C. Guillevin, M. Wager, V. Delwail, R. Guillevin and J.-N. Vallée
      American Journal of Neuroradiology August 2018, 39 (8) 1423-1431; DOI: https://doi.org/10.3174/ajnr.A5725

      From January 2013 to January 2016, fifty-five consecutive patients with histopathologically proved lymphomas, glioblastomas, and metastases were included in this study after undergoing MR imaging. The perfusion parameters (maximum relative CBV, maximum percentage of signal intensity recovery) and spectroscopic concentration ratios (lactate/Cr, Cho/NAA, Cho/Cr, and lipids/Cr) were analyzed individually and in optimal combinations. The highest differential diagnostic performance was obtained with the following combined classifiers: 1) maximum percentage of signal intensity recovery-Cho/NAA to discriminate lymphomas from glioblastomas and metastases; 2) relative CBV-Cho/NAA to discriminate glioblastomas from lymphomas and metastases; and 3) maximum percentage of signal intensity recovery-lactate/Cr and maximum percentage of signal intensity recovery-Cho/Cr to discriminate metastases from lymphomas and glioblastomas. The authors conclude that spectroscopy yielded an added performance value to perfusion using optimal combined classifiers of these modalities.

  4. Dorfer, C.

    1. Pediatrics
      Assessing Corticospinal Tract Asymmetry in Unilateral Polymicrogyria
      O. Foesleitner, K.-H. Nenning, T. Traub-Weidinger, M. Feucht, S. Bonelli, T. Czech, C. Dorfer, D. Prayer and G. Kasprian
      American Journal of Neuroradiology August 2018, 39 (8) 1530-1535; DOI: https://doi.org/10.3174/ajnr.A5715

  5. Drangova, M.

    1. Adult Brain
      Open Access
      Morphology-Specific Discrimination between MS White Matter Lesions and Benign White Matter Hyperintensities Using Ultra-High-Field MRI
      Z. Hosseini, J. Matusinec, D.A. Rudko, J. Liu, B.Y.M. Kwan, F. Salehi, M. Sharma, M. Kremenchutzky, R.S. Menon and M. Drangova
      American Journal of Neuroradiology August 2018, 39 (8) 1473-1479; DOI: https://doi.org/10.3174/ajnr.A5705

  6. Dresner, A.

    1. Spine
      Zonally Magnified Oblique Multislice and Non-Zonally Magnified Oblique Multislice DWI of the Cervical Spinal Cord
      M. Alizadeh, M.M. Poplawski, J. Fisher, R.J.T. Gorniak, A. Dresner, F.B. Mohamed and A.E. Flanders
      American Journal of Neuroradiology August 2018, 39 (8) 1555-1561; DOI: https://doi.org/10.3174/ajnr.A5703

  7. Dwyer, M.G.

    1. Adult Brain
      Impact of Focal White Matter Damage on Localized Subcortical Gray Matter Atrophy in Multiple Sclerosis: A 5-Year Study
      T.A. Fuchs, K. Carolus, R.H.B. Benedict, N. Bergsland, D. Ramasamy, D. Jakimovski, B. Weinstock-Guttman, A. Kuceyeski, R. Zivadinov and M.G. Dwyer
      American Journal of Neuroradiology August 2018, 39 (8) 1480-1486; DOI: https://doi.org/10.3174/ajnr.A5720
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