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Index by author

October 01, 2021; Volume 42,Issue 10

  1. Som, P.

    1. FELLOWS' JOURNAL CLUBHead and Neck Imaging
      A Radiologic Grading System for Assessing the Radiographic Outcome of Treatment in Lymphatic and Lymphatic-Venous Malformations of the Head and Neck
      R. De Leacy, D.V. Bageac, S. Manna, B.S. Gershon, D. Kirke, T. Shigematsu, C. Sinclair, D. Chada, P. Som, A. Doshi, K. Nael and A. Berenstein
      American Journal of Neuroradiology October 2021, 42 (10) 1859-1864; DOI: https://doi.org/10.3174/ajnr.A7260

      The proposed radiographic grading scale demonstrates excellent interrater reliability. Adoption of this new scale can standardize reported outcomes following sclerotherapy for head and neck lymphatic malformation and may aid in the investigation of future questions regarding optimal management of these lesions.

  2. Spencer, D.D.

    1. Adult Brain
      Imaging of Neuromodulation and Surgical Interventions for Epilepsy
      M.E. Adin, D.D. Spencer, E. Damisah, A. Herlopian, J.L. Gerrard and R.A. Bronen
      American Journal of Neuroradiology October 2021, 42 (10) 1742-1750; DOI: https://doi.org/10.3174/ajnr.A7222

  3. Srinivasan, A.

    1. EDITOR'S CHOICEHead and Neck Imaging
      Diagnostic Role of Diffusion-Weighted and Dynamic Contrast-Enhanced Perfusion MR Imaging in Paragangliomas and Schwannomas in the Head and Neck
      Y. Ota, E. Liao, A.A. Capizzano, R. Kurokawa, J.R. Bapuraj, F. Syed, A. Baba, T. Moritani and A. Srinivasan
      American Journal of Neuroradiology October 2021, 42 (10) 1839-1846; DOI: https://doi.org/10.3174/ajnr.A7266

      DCE-MR imaging parameters identified significant statistical differences between schwannomas and paragangliomas with AUCs of 0.70–0.99, though no significant differences in ADC values were identified. Vp was the most promising parameter to differentiate the 2 tumor types.

  4. Stitzel, J.D.

    1. Adult Brain
      Alterations in the Magnetoencephalography Default Mode Effective Connectivity following Concussion
      D.D. Reddy, E.M. Davenport, F.F. Yu, B. Wagner, J.E. Urban, C.T. Whitlow, J.D. Stitzel and J.A. Maldjian
      American Journal of Neuroradiology October 2021, 42 (10) 1776-1782; DOI: https://doi.org/10.3174/ajnr.A7232

  5. Strother, C.

    1. Adult Brain
      Artificial Intelligence–Based 3D Angiography for Visualization of Complex Cerebrovascular Pathologies
      S. Lang, P. Hoelter, M. Schmidt, C. Strother, C. Kaethner, M. Kowarschik and A. Doerfler
      American Journal of Neuroradiology October 2021, 42 (10) 1762-1768; DOI: https://doi.org/10.3174/ajnr.A7252

  6. Studart-neto, A.

    1. Adult Brain
      Open Access
      The Brain Metabolic Signature in Superagers Using In Vivo 1H-MRS: A Pilot Study
      L.L. de Godoy, A. Studart-Neto, M. Wylezinska-Arridge, M.H. Tsunemi, N.C. Moraes, M.S. Yassuda, A.M. Coutinho, C.A. Buchpiguel, R. Nitrini, S. Bisdas and C. da Costa Leite
      American Journal of Neuroradiology October 2021, 42 (10) 1790-1797; DOI: https://doi.org/10.3174/ajnr.A7262

  7. Syed, F.

    1. EDITOR'S CHOICEHead and Neck Imaging
      Diagnostic Role of Diffusion-Weighted and Dynamic Contrast-Enhanced Perfusion MR Imaging in Paragangliomas and Schwannomas in the Head and Neck
      Y. Ota, E. Liao, A.A. Capizzano, R. Kurokawa, J.R. Bapuraj, F. Syed, A. Baba, T. Moritani and A. Srinivasan
      American Journal of Neuroradiology October 2021, 42 (10) 1839-1846; DOI: https://doi.org/10.3174/ajnr.A7266

      DCE-MR imaging parameters identified significant statistical differences between schwannomas and paragangliomas with AUCs of 0.70–0.99, though no significant differences in ADC values were identified. Vp was the most promising parameter to differentiate the 2 tumor types.

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