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Index by author

April 01, 2024; Volume 45,Issue 4

  1. Aspide, Raffaele

    1. FELLOWS' JOURNAL CLUBNeurovascular/Stroke Imaging
      Hemorrhage Volume Drives Early Brain Injury and Outcome in Poor-Grade Aneurysmal SAH
      Pietro Panni, Franco Simionato, Roberta Cao, Alessandro Pedicelli, Enrico Marchese, Anselmo Caricato, Andrea Alexandre, Alberto Feletti, Mattia Testa, Paolo Zanatta, Nicola Gitti, Simone Piva, Dikran Mardighian, Vittorio Semeraro, Giordano Nardin, Emilio Lozupone, Giafranco Paiano, Edoardo Picetti, Vito Montanaro, Massimo Petranca, Carlo Bortolotti, Antonino Scibilia, Luigi Cirillo, Raffaele Aspide, Andrea Luigi Lanterna, Alessandro Ambrosi, Pietro Mortini, Maria Luisa Azzolini, Maria Rosa Calvi, Andrea Falini and on behalf of the POGASH Investigators
      American Journal of Neuroradiology April 2024, 45 (4) 393-399; DOI: https://doi.org/10.3174/ajnr.A8135

      Early brain injury (radiologically defined by global cerebral edema) is a major determinant of clinical outcome in poor-grade aneurysmal SAH. In this retrospective study of 400 patients with poor-grade aneurysmal SAH, it was shown that intracerebral hemorrhage volume independently predicted global cerebral edema and long-term outcome, intraventricular hemorrhage volume predicted mortality and long-term outcome, and SAH volume predicted long-term clinical outcome.

  2. Attarian, Shahram

    1. Neurodegenerative Disorder Imaging
      Neurofilament Light Chain Levels Interact with Neurodegenerative Patterns and Motor Neuron Dysfunction in Amyotrophic Lateral Sclerosis
      Penelope Tilsley, Antoine Moutiez, Alexandre Brodovitch, Mohamed Mounir El Mendili, Benoit Testud, Wafaa Zaaraoui, Annie Verschueren, Shahram Attarian, Maxime Guye, José Boucraut, Aude-Marie Grapperon and Jan-Patrick Stellmann
      American Journal of Neuroradiology April 2024, 45 (4) 494-503; DOI: https://doi.org/10.3174/ajnr.A8154

  3. Azzolini, Maria Luisa

    1. FELLOWS' JOURNAL CLUBNeurovascular/Stroke Imaging
      Hemorrhage Volume Drives Early Brain Injury and Outcome in Poor-Grade Aneurysmal SAH
      Pietro Panni, Franco Simionato, Roberta Cao, Alessandro Pedicelli, Enrico Marchese, Anselmo Caricato, Andrea Alexandre, Alberto Feletti, Mattia Testa, Paolo Zanatta, Nicola Gitti, Simone Piva, Dikran Mardighian, Vittorio Semeraro, Giordano Nardin, Emilio Lozupone, Giafranco Paiano, Edoardo Picetti, Vito Montanaro, Massimo Petranca, Carlo Bortolotti, Antonino Scibilia, Luigi Cirillo, Raffaele Aspide, Andrea Luigi Lanterna, Alessandro Ambrosi, Pietro Mortini, Maria Luisa Azzolini, Maria Rosa Calvi, Andrea Falini and on behalf of the POGASH Investigators
      American Journal of Neuroradiology April 2024, 45 (4) 393-399; DOI: https://doi.org/10.3174/ajnr.A8135

      Early brain injury (radiologically defined by global cerebral edema) is a major determinant of clinical outcome in poor-grade aneurysmal SAH. In this retrospective study of 400 patients with poor-grade aneurysmal SAH, it was shown that intracerebral hemorrhage volume independently predicted global cerebral edema and long-term outcome, intraventricular hemorrhage volume predicted mortality and long-term outcome, and SAH volume predicted long-term clinical outcome.

  4. Bangiyev, Lev

    1. Spine Imaging and Spine Image-Guided Interventions
      Automated Detection of Cervical Spinal Stenosis and Cord Compression via Vision Transformer and Rules-Based Classification
      David L. Payne, Xuan Xu, Farshid Faraji, Kevin John, Katherine Ferra Pradas, Vahni Vishala Bernard, Lev Bangiyev and Prateek Prasanna
      American Journal of Neuroradiology April 2024, 45 (4) 432-438; DOI: https://doi.org/10.3174/ajnr.A8141

  5. Bartstra, J.W.

    1. Neurovascular/Stroke Imaging
      Increased Intracranial Arterial Pulsatility and Microvascular Brain Damage in Pseudoxanthoma Elasticum
      J.W. Bartstra, T. van den Beukel, G. Kranenburg, L.J. Geurts, A.M. den Harder, T. Witkamp, J.M. Wolterink, J.J.M. Zwanenburg, E. van Valen, H.L. Koek, W.P.T.M. Mali, P.A. de Jong, J. Hendrikse and W. Spiering
      American Journal of Neuroradiology April 2024, 45 (4) 386-392; DOI: https://doi.org/10.3174/ajnr.A8212

  6. Bathla, Girish

    1. Brain Tumor Imaging
      High-Grade Astrocytoma with Piloid Features: A Dual Institutional Review of Imaging Findings of a Novel Entity
      Neetu Soni, Amit Agarwal, Pranav Ajmera, Parv Mehta, Vivek Gupta, Mukta Vibhute, Maria Gubbiotti, Ian T. Mark, Steven A. Messina, Suyash Mohan and Girish Bathla
      American Journal of Neuroradiology April 2024, 45 (4) 468-474; DOI: https://doi.org/10.3174/ajnr.A8166

  7. Beck, Ryan

    1. Health Policies/Quality Improvement/Evidence-Based Neuroimaging
      Shift Volume Directly Impacts Neuroradiology Error Rate at a Large Academic Medical Center: The Case for Volume Limits
      Vladimir Ivanovic, Kenneth Broadhead, Yu-Ming Chang, John F Hamer, Ryan Beck, Lotfi Hacein-Bey and Lihong Qi
      American Journal of Neuroradiology April 2024, 45 (4) 374-378; DOI: https://doi.org/10.3174/ajnr.A8119

  8. Benefield, Thad

    1. EDITOR'S CHOICEHead and Neck Imaging
      Does CISS MRI Reliably Depict the Endolymphatic Duct in Children with and without Vestibular Aqueduct Enlargement?
      Olutayo I. Olubiyi, Nicholas Thompson, Thad Benefield, Kassie L. McCullagh and Benjamin Y. Huang
      American Journal of Neuroradiology April 2024, 45 (4) 511-517; DOI: https://doi.org/10.3174/ajnr.A8158

      In this retrospective review of temporal bone high-resolution CT and CISS MR imaging of 98 hearing-impaired children, the authors found that the CISS MR imaging technique commonly used for inner ear evaluation performs poorly overall at resolving the endolymphatic duct and underdiagnoses enlarged vestibular aqueduct. If the endolymphatic duct is easily seen on CISS imaging, there is a .99% probability that the vestibular aqueduct is enlarged.

  9. Benomar, A.

    1. Neurovascular/Stroke Imaging
      The Management of Persistent Distal Occlusions after Mechanical Thrombectomy and Thrombolysis: An Inter- and Intrarater Agreement Study
      W. Boisseau, A. Benomar, C. Ducroux, R. Fahed, S. Smajda, J. D. B. Diestro, G. Charbonnier, J. Ognard, J. Burel, A. Ter Schiphorst, M. Boulanger, A. Nehme, J. Boucherit, G. Marnat, D. Volders, Q. Holay, G. Forestier, M. Bretzner, D. Roy, S. Vingadassalom, M. Elhorany, L. Nico, G. Jacquin, M. Abdalkader, A. Guedon, P. Seners, K. Janot, V. Dumas, R. Olatunji, S. Gazzola, G. Milot, J. Zehr, T.E. Darsaut, D. Iancu and J. Raymond
      American Journal of Neuroradiology April 2024, 45 (4) 400-405; DOI: https://doi.org/10.3174/ajnr.A8149

  10. Benson, John C.

    1. Artificial Intelligence
      Identifying Patients with CSF-Venous Fistula Using Brain MRI: A Deep Learning Approach
      Shahriar Faghani, Mana Moassefi, Ajay A. Madhavan, Ian T. Mark, Jared T. Verdoorn, Bradley J. Erickson and John C. Benson
      American Journal of Neuroradiology April 2024, 45 (4) 439-443; DOI: https://doi.org/10.3174/ajnr.A8173
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