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Index by author

October 01, 2021; Volume 42,Issue 10

  1. Cantrell, D.R.

    1. Interventional
      Flow Diversion of Posterior Circulation Aneurysms: Systematic Review of Disaggregated Individual Patient Data
      A. Alwakeal, N.A. Shlobin, P. Golnari, W. Metcalf-Doetsch, P. Nazari, S.A. Ansari, M.C. Hurley, D.R. Cantrell, A. Shaibani, B.S. Jahromi and M.B. Potts
      American Journal of Neuroradiology October 2021, 42 (10) 1827-1833; DOI: https://doi.org/10.3174/ajnr.A7220

  2. Capizzano, A.A.

    1. EDITOR'S CHOICEHead & Neck
      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.

  3. Caruso, P.

    1. EDITOR'S CHOICEPediatrics
      Growth Curves of Subependymal Giant Cell Tumors in Tuberous Sclerosis Complex
      J.R. Barnett, J.H. Freedman, H. Zheng, E.A. Thiele and P. Caruso
      American Journal of Neuroradiology October 2021, 42 (10) 1891-1897; DOI: https://doi.org/10.3174/ajnr.A7231

      Growth differentiates subependymal nodules and subependymal giant cell tumors within the first 20 years of life, and the use of velocity and acceleration of growth may refine the diagnostic criteria of subependymal giant cell tumors.

  4. Caruso, P.A.

    1. Pediatrics
      A Longitudinal Analysis of Early Lesion Growth in Presymptomatic Patients with Cerebral Adrenoleukodystrophy
      E.J. Mallack, G. Askin, S. van de Stadt, P.A. Caruso, P.L. Musolino, M. Engelen, S.N. Niogi and F.S. Eichler
      American Journal of Neuroradiology October 2021, 42 (10) 1904-1911; DOI: https://doi.org/10.3174/ajnr.A7250

  5. Cha, J.

    1. Adult Brain
      Deep Learning–Based Software Improves Clinicians' Detection Sensitivity of Aneurysms on Brain TOF-MRA
      B. Sohn, K.-Y. Park, J. Choi, J.H. Koo, K. Han, B. Joo, S.Y. Won, J. Cha, H.S. Choi and S.-K. Lee
      American Journal of Neuroradiology October 2021, 42 (10) 1769-1775; DOI: https://doi.org/10.3174/ajnr.A7242

  6. Chada, D.

    1. FELLOWS' JOURNAL CLUBHead & Neck
      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.

  7. Chen, M.

    1. Interventional
      Patient-Relevant Deficits Dictate Endovascular Thrombectomy Decision-Making in Patients with Low NIHSS Scores with Medium-Vessel Occlusion Stroke
      R. McDonough, P. Cimflova, N. Kashani, J.M. Ospel, M. Kappelhof, N. Singh, A. Sehgal, N. Sakai, J. Fiehler, M. Chen and M. Goyal
      American Journal of Neuroradiology October 2021, 42 (10) 1834-1838; DOI: https://doi.org/10.3174/ajnr.A7253

  8. Choi, H.S.

    1. Adult Brain
      Deep Learning–Based Software Improves Clinicians' Detection Sensitivity of Aneurysms on Brain TOF-MRA
      B. Sohn, K.-Y. Park, J. Choi, J.H. Koo, K. Han, B. Joo, S.Y. Won, J. Cha, H.S. Choi and S.-K. Lee
      American Journal of Neuroradiology October 2021, 42 (10) 1769-1775; DOI: https://doi.org/10.3174/ajnr.A7242

  9. Choi, J.

    1. Adult Brain
      Deep Learning–Based Software Improves Clinicians' Detection Sensitivity of Aneurysms on Brain TOF-MRA
      B. Sohn, K.-Y. Park, J. Choi, J.H. Koo, K. Han, B. Joo, S.Y. Won, J. Cha, H.S. Choi and S.-K. Lee
      American Journal of Neuroradiology October 2021, 42 (10) 1769-1775; DOI: https://doi.org/10.3174/ajnr.A7242

  10. Cimflova, P.

    1. Interventional
      Patient-Relevant Deficits Dictate Endovascular Thrombectomy Decision-Making in Patients with Low NIHSS Scores with Medium-Vessel Occlusion Stroke
      R. McDonough, P. Cimflova, N. Kashani, J.M. Ospel, M. Kappelhof, N. Singh, A. Sehgal, N. Sakai, J. Fiehler, M. Chen and M. Goyal
      American Journal of Neuroradiology October 2021, 42 (10) 1834-1838; DOI: https://doi.org/10.3174/ajnr.A7253
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