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Index by author

May 01, 2021; Volume 42,Issue 5

  1. Kagaya, R.

    1. Pediatric Neuroimaging
      Transient Hyperintensity of the Infant Thyroid Gland on T1-Weighted MR Imaging: Correlation with Postnatal Age, Gestational Age, and Signal Intensity of the Pituitary Gland
      H. Maki, M. Nakagawa, R. Kagaya, S. Kumazawa, K. Matsumoto, M. Hatano, Y. Miyake, W. Sugihara and Y. Shibamoto
      American Journal of Neuroradiology May 2021, 42 (5) 955-960; DOI: https://doi.org/10.3174/ajnr.A7024

  2. Kalpathy-cramer, J.

    1. Adult Brain
      Open Access
      Severity of Chest Imaging is Correlated with Risk of Acute Neuroimaging Findings among Patients with COVID-19
      M. Lang, M.D. Li, K.Z. Jiang, B.C. Yoon, D.P. Mendoza, E.J. Flores, S.P. Rincon, W.A. Mehan, J. Conklin, S.Y. Huang, A.L. Lang, D.M. Giao, T.M. Leslie-Mazwi, J. Kalpathy-Cramer, B.P. Little and K. Buch
      American Journal of Neuroradiology May 2021, 42 (5) 831-837; DOI: https://doi.org/10.3174/ajnr.A7032

  3. Kan, P.

    1. Neurointervention
      Early Postmarket Results with EmboTrap II Stent Retriever for Mechanical Thrombectomy: A Multicenter Experience
      A. Srivatsan, V.M. Srinivasan, R.M. Starke, E.C. Peterson, D.R. Yavagal, A.E. Hassan, A. Alawieh, A.M. Spiotta, Y. Saleem, K.M. Fargen, S.Q. Wolfe, R.A. de Leacy, I.P. Singh, I.L. Maier, J.N. Johnson, J.-K. Burkhardt, S.R. Chen and P. Kan
      American Journal of Neuroradiology May 2021, 42 (5) 904-909; DOI: https://doi.org/10.3174/ajnr.A7067

  4. Kaneko, N.

    1. Neurointervention
      Open Access
      A Review of Robotic Interventional Neuroradiology
      C.B. Beaman, N. Kaneko, P.M. Meyers and S. Tateshima
      American Journal of Neuroradiology May 2021, 42 (5) 808-814; DOI: https://doi.org/10.3174/ajnr.A6976

  5. Kang, K.M.

    1. Adult Brain
      Open Access
      MGMT Promoter Methylation Status in Initial and Recurrent Glioblastoma: Correlation Study with DWI and DSC PWI Features
      H.J. Choi, S.H. Choi, S.-H. You, R.-E. Yoo, K.M. Kang, T.J. Yun, J.-h. Kim, C.-H. Sohn, C.-K. Park and S.-H. Park
      American Journal of Neuroradiology May 2021, 42 (5) 853-860; DOI: https://doi.org/10.3174/ajnr.A7004

  6. Kang, Y.

    1. Head and Neck Imaging
      Improved Lesion Conspicuity with Contrast-Enhanced 3D T1 TSE Black-Blood Imaging in Cranial Neuritis: A Comparative Study of Contrast-Enhanced 3D T1 TSE, 3D T1 Fast-Spoiled Gradient Echo, and 3D T2 FLAIR
      T.-W. Baek, Y. Kang and H.-J. Lee
      American Journal of Neuroradiology May 2021, 42 (5) 945-950; DOI: https://doi.org/10.3174/ajnr.A7025

  7. Kaur, G.

    1. Neurointervention
      Middle Meningeal Artery Embolization Using Combined Particle Embolization and n-BCA with the Dextrose 5% in Water Push Technique for Chronic Subdural Hematomas: A Prospective Safety and Feasibility Study
      F. Al-Mufti, G. Kaur, K. Amuluru, J.B. Cooper, K. Dakay, M. El-Ghanem, J. Pisapia, C. Muh, R. Tyagi, C. Bowers, C. Cole, S. Rosner, J. Santarelli, S. Mayer and C. Gandhi
      American Journal of Neuroradiology May 2021, 42 (5) 916-920; DOI: https://doi.org/10.3174/ajnr.A7077

  8. Khandelwal, P.

    1. Neurointervention
      Distal Transradial Access for Diagnostic Cerebral Angiography and Neurointervention: Systematic Review and Meta-analysis
      H. Hoffman, M.S. Jalal, H.E. Masoud, R.B. Pons, I. Rodriguez Caamaño, P. Khandelwal, T. Prakash and G.C. Gould
      American Journal of Neuroradiology May 2021, 42 (5) 888-895; DOI: https://doi.org/10.3174/ajnr.A7074

  9. Kim, H.

    1. EDITOR'S CHOICEAdult Brain
      Development and Validation of a Deep Learning–Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images
      I. Shin, H. Kim, S.S. Ahn, B. Sohn, S. Bae, J.E. Park, H.S. Kim and S.-K. Lee
      American Journal of Neuroradiology May 2021, 42 (5) 838-844; DOI: https://doi.org/10.3174/ajnr.A7003

      A deep learning-based model may be a supportive tool for preoperative discrimination between glioblastoma and solitary brain metastasis using conventional MR images.

  10. Kim, H.S.

    1. EDITOR'S CHOICEAdult Brain
      Development and Validation of a Deep Learning–Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images
      I. Shin, H. Kim, S.S. Ahn, B. Sohn, S. Bae, J.E. Park, H.S. Kim and S.-K. Lee
      American Journal of Neuroradiology May 2021, 42 (5) 838-844; DOI: https://doi.org/10.3174/ajnr.A7003

      A deep learning-based model may be a supportive tool for preoperative discrimination between glioblastoma and solitary brain metastasis using conventional MR images.

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