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American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
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More articles from Functional

  • EDITOR'S CHOICEAdult Brain
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    Changes in Ventricular and Cortical Volumes following Shunt Placement in Patients with Idiopathic Normal Pressure Hydrocephalus
    P.M. Cogswell, M.C. Murphy, M.L. Senjem, H. Botha, J.L. Gunter, B.D. Elder, J. Graff-Radford, D.T. Jones, J.K. Cutsforth-Gregory, C.G. Schwarz, F.B. Meyer, J. Huston and C.R. Jack
    American Journal of Neuroradiology December 2021, 42 (12) 2165-2171; DOI: https://doi.org/10.3174/ajnr.A7323

    Overall, cortical volumes mildly increased after shunt placement in patients with idiopathic normal pressure hydrocephalus with the greatest increases in regions near the vertex, indicating postshunt decompression of the cortex and sulci.

  • Adult Brain
    Open Access
    Deep Learning Enables 60% Accelerated Volumetric Brain MRI While Preserving Quantitative Performance: A Prospective, Multicenter, Multireader Trial
    S. Bash, L. Wang, C. Airriess, G. Zaharchuk, E. Gong, A. Shankaranarayanan and L.N. Tanenbaum
    American Journal of Neuroradiology December 2021, 42 (12) 2130-2137; DOI: https://doi.org/10.3174/ajnr.A7358
  • Adult Brain
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    Hemodynamic Analysis of Cerebral AVMs with 3D Phase-Contrast MR Imaging
    Y. Takeda, T. Kin, T. Sekine, H. Hasegawa, Y. Suzuki, H. Uchikawa, T. Koike, S. Kiyofuji, Y. Shinya, M. Kawashima and N. Saito
    American Journal of Neuroradiology December 2021, 42 (12) 2138-2145; DOI: https://doi.org/10.3174/ajnr.A7314
  • Practice Perspectives
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    Qualifying Certainty in Radiology Reports through Deep Learning–Based Natural Language Processing
    F. Liu, P. Zhou, S.J. Baccei, M.J. Masciocchi, N. Amornsiripanitch, C.I. Kiefe and M.P. Rosen
    American Journal of Neuroradiology October 2021, 42 (10) 1755-1761; DOI: https://doi.org/10.3174/ajnr.A7241
  • Adult Brain
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    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
  • Adult Brain
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    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
  • Adult Brain
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    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
  • Adult Brain
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    Comparison of Hippocampal Subfield Segmentation Agreement between 2 Automated Protocols across the Adult Life Span
    A. Samara, C.A. Raji, Z. Li and T. Hershey
    American Journal of Neuroradiology October 2021, 42 (10) 1783-1789; DOI: https://doi.org/10.3174/ajnr.A7244
  • 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
  • EDITOR'S CHOICEHead & Neck
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    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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