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Index by author

August 01, 2024; Volume 45,Issue 8

  1. Arikan, Ceyda Ceren

    1. Brain Tumor Imaging
      Distinguishing Pituitary Metastasis and Pituitary Neuroendocrine Tumors through Conventional MR Imaging and Clinical Features
      Sabahattin Yuzkan, Buruc Erkan, Fatih Mert Dogukan, Uluc Ozkiziltan, Serdar Balsak, Fatma Zeynep Arslan, Berk Tutuncuoglu, Ceyda Ceren Arikan, Huseyin Karatay, Ebubekir Akpinar, Yesim Ertan, Esra Hatipoglu, Cenk Eraslan, Omer Kitis, Cem Calli and Burak Kocak
      American Journal of Neuroradiology August 2024, 45 (8) 1063-1069; DOI: https://doi.org/10.3174/ajnr.A8302

  2. Arnold, Corey W.

    1. Neurointervention
      A Deep Learning Approach to Predict Recanalization First-Pass Effect following Mechanical Thrombectomy in Patients with Acute Ischemic Stroke
      Haoyue Zhang, Jennifer S. Polson, Zichen Wang, Kambiz Nael, Neal M. Rao, William F. Speier and Corey W. Arnold
      American Journal of Neuroradiology August 2024, 45 (8) 1044-1052; DOI: https://doi.org/10.3174/ajnr.A8272

  3. Arslan, Fatma Zeynep

    1. Brain Tumor Imaging
      Distinguishing Pituitary Metastasis and Pituitary Neuroendocrine Tumors through Conventional MR Imaging and Clinical Features
      Sabahattin Yuzkan, Buruc Erkan, Fatih Mert Dogukan, Uluc Ozkiziltan, Serdar Balsak, Fatma Zeynep Arslan, Berk Tutuncuoglu, Ceyda Ceren Arikan, Huseyin Karatay, Ebubekir Akpinar, Yesim Ertan, Esra Hatipoglu, Cenk Eraslan, Omer Kitis, Cem Calli and Burak Kocak
      American Journal of Neuroradiology August 2024, 45 (8) 1063-1069; DOI: https://doi.org/10.3174/ajnr.A8302

  4. Artz, Nathan S.

    1. EDITOR'S CHOICEPediatric Neuroimaging
      Open Access
      Low-Field Portable MR Imaging to Evaluate Ventricular Volumes: A Single-Center Retrospective Study
      Vivek Velagapudi, Nathan S. Artz, Johnston K. Fite, Sherwin S. Chan and Adam G. Rouse
      American Journal of Neuroradiology August 2024, 45 (8) 1076-1080; DOI: https://doi.org/10.3174/ajnr.A8269

      The authors compared low-field portable and standard MR images of ventricular volume in the same pediatric patient. They showed high correlation in the estimates of ventricular volume between the 2 types of MR imaging, without systemic bias.

  5. Atcheson, Kyle M.

    1. EDITOR'S CHOICENeuroimaging Physics/Functional Neuroimaging/CT and MRI Technology
      Cognitive and Salience Network Connectivity Changes following a Single Season of Repetitive Head Impact Exposure in High School Football
      Mohammad I. Kawas, Kyle M. Atcheson, William C. Flood, Christopher A. Sheridan, Richard A. Barcus, Laura A. Flashman, Thomas W. McAllister, Megan E. Lipford, Jeongchul Kim, Jillian E. Urban, Elizabeth M. Davenport, Christopher G. Vaughan, Kiran K. Solingapuram Sai, Joel D. Stitzel, Joseph A. Maldjian and Christopher T. Whitlow
      American Journal of Neuroradiology August 2024, 45 (8) 1116-1123; DOI: https://doi.org/10.3174/ajnr.A8294

      High school football players and controls underwent cognitive battery testing. The study found that football players had subtle cognitive decrements. MRI revealed altered brain connectivity, with decreased dorsal anterior cingulate cortex interhemispheric connectivity and within-salience network connectivity, which correlated with poorer total symptoms and verbal memory performance, respectively.

  6. Azizova, Aynur

    1. FELLOWS' JOURNAL CLUBBrain Tumor Imaging
      Ten Years of VASARI Glioma Features: Systematic Review and Meta-Analysis of Their Impact and Performance
      Aynur Azizova, Yeva Prysiazhniuk, Ivar J.H.G. Wamelink, Jan Petr, Frederik Barkhof and Vera C. Keil
      American Journal of Neuroradiology August 2024, 45 (8) 1053-1062; DOI: https://doi.org/10.3174/ajnr.A8274

      Visually Accessible Rembrandt Images (VASARI) is a standardized reporting system for gliomas that combines MRI features (eg, enhancement pattern and location). This meta-analysis found that overall survival is predicted by multifocality, ependymal invasion, and enhancing tumor crossing the midline. However, due to the heterogeneity of studies, IDH mutation prediction remains uncertain.

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