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Index by author

October 01, 2021; Volume 42,Issue 10

  1. Kirke, D.

    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. Koo, J.H.

    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

  3. Kowarschik, M.

    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

  4. Kuo, J.H.

    1. Letter
      Reply:
      J.H. Kuo and R. Yeh on behalf of all the authors
      American Journal of Neuroradiology October 2021, 42 (10) E75; DOI: https://doi.org/10.3174/ajnr.A7282

  5. Kurokawa, R.

    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.

  6. Kutz, J.W.

    1. Pediatric Neuroimaging
      MRI Evaluation of the Normal and Abnormal Endolymphatic Duct in the Pediatric Population: A Comparison with High-Resolution CT
      R.L. Clarke, B. Isaacson, J.W. Kutz, Y. Xi and T.N. Booth
      American Journal of Neuroradiology October 2021, 42 (10) 1865-1869; DOI: https://doi.org/10.3174/ajnr.A7224
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