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Index by author

October 01, 2024; Volume 45,Issue 10

  1. Nagakane, Yoshinari

    1. FELLOWS' JOURNAL CLUBNeurovascular/Stroke Imaging
      Absence of the Susceptibility Vessel Sign with Cancer-Associated Hypercoagulability-Related Stroke
      Daiki Fukunaga, Jun Fujinami, Toru Kishitani, Naoki Tokuda, Soichiro Numa and Yoshinari Nagakane
      American Journal of Neuroradiology October 2024, 45 (10) 1427-1431; DOI: https://doi.org/10.3174/ajnr.A8363

      Cancer-associated hypercoagulability-related stroke is presumably caused by fibrin-predominant thrombi and is associated with the absence of the susceptibility vessel sign (sensitivity of 90%/specificity of 78%/ likelihood ratio of 4.06). This is in contradistinction to cardioembolic erythrocyte-predominant thrombi, which demonstrate hypointense signal on T2-weighted gradient-recalled echo images (susceptibility vessel sign).

  2. Nagelschneider, Alex A.

    1. Neurovascular/Stroke Imaging
      High-Resolution Head CTA: A Prospective Patient Study Comparing Image Quality of Photon-Counting Detector CT and Energy-Integrating Detector CT
      Felix E. Diehn, Zhongxing Zhou, Jamison E. Thorne, Norbert G. Campeau, Alex A. Nagelschneider, Laurence J. Eckel, John C. Benson, Ajay A. Madhavan, Girish Bathla, Vance T. Lehman, Nathan R. Huber, Francis Baffour, Joel G. Fletcher, Cynthia H. McCollough and Lifeng Yu
      American Journal of Neuroradiology October 2024, 45 (10) 1441-1449; DOI: https://doi.org/10.3174/ajnr.A8342

  3. Nakamura, Yuta

    1. Artificial Intelligence
      Toward Improved Radiologic Diagnostics: Investigating the Utility and Limitations of GPT-3.5 Turbo and GPT-4 with Quiz Cases
      Tomohiro Kikuchi, Takahiro Nakao, Yuta Nakamura, Shouhei Hanaoka, Harushi Mori and Takeharu Yoshikawa
      American Journal of Neuroradiology October 2024, 45 (10) 1506-1511; DOI: https://doi.org/10.3174/ajnr.A8332

  4. Nakao, Takahiro

    1. Artificial Intelligence
      Toward Improved Radiologic Diagnostics: Investigating the Utility and Limitations of GPT-3.5 Turbo and GPT-4 with Quiz Cases
      Tomohiro Kikuchi, Takahiro Nakao, Yuta Nakamura, Shouhei Hanaoka, Harushi Mori and Takeharu Yoshikawa
      American Journal of Neuroradiology October 2024, 45 (10) 1506-1511; DOI: https://doi.org/10.3174/ajnr.A8332

  5. Nance, Michael

    1. Health Policies/Quality Improvement/Evidence-Based Neuroimaging
      Guidance for Pediatric Pituitary MRI Ordering: A Single Institution Improvement Initiative
      Nadja Kadom, Michael Nance, Briana Patterson and Susan Palasis
      American Journal of Neuroradiology October 2024, 45 (10) 1389-1393; DOI: https://doi.org/10.3174/ajnr.A8314

  6. Neeman, Bar

    1. Pediatric Neuroimaging
      Sotos Syndrome: Deep Neuroimaging Phenotyping Reveals a High Prevalence of Malformations of Cortical Development
      Bar Neeman, Sniya Sudhakar, Asthik Biswas, Jessica Rosenblum, Jai Sidpra, Felice D’Arco, Ulrike Löbel, Marta Gómez-Chiari, Mercedes Serrano, Mercè Bolasell, Kartik Reddy, Liat Ben-Sira, Reem Zakzouk, Amal Al-Hashem, David M. Mirsky, Rajan Patel, Rupa Radhakrishnan, Karuna Shekdar, Matthew T. Whitehead and Kshitij Mankad
      American Journal of Neuroradiology October 2024, 45 (10) 1570-1577; DOI: https://doi.org/10.3174/ajnr.A8364

  7. Nesvick, Cody L.

    1. Artificial Intelligence
      DSA Quantitative Analysis and Predictive Modeling of Obliteration in Cerebral AVM following Stereotactic Radiosurgery
      Mohamed Sobhi Jabal, Marwa A. Mohammed, Cody L. Nesvick, Hassan Kobeissi, Christopher S. Graffeo, Bruce E. Pollock and Waleed Brinjikji
      American Journal of Neuroradiology October 2024, 45 (10) 1521-1527; DOI: https://doi.org/10.3174/ajnr.A8351

  8. Newbury-chaet, Isabella

    1. EDITOR'S CHOICEEmergency Neuroradiology
      Evaluation of an Artificial Intelligence Model for Identification of Mass Effect and Vasogenic Edema on CT of the Head
      Isabella Newbury-Chaet, Sarah F. Mercaldo, John K. Chin, Ankita Ghatak, Madeleine A. Halle, Ashley L. MacDonald, Karen Buch, John Conklin, William A. Mehan, Stuart Pomerantz, Sandra Rincon, Keith J. Dreyer, Bernardo C. Bizzo and James M. Hillis
      American Journal of Neuroradiology October 2024, 45 (10) 1528-1535; DOI: https://doi.org/10.3174/ajnr.A8358

      This study compared the accuracy of a stand-alone AI model with consensus neuroradiologists’ interpretations in detecting mass effect and vasogenic edema on CT of the head. The ability to identify these findings could assist the clinical workflow through prioritizing the interpretation of abnormal cases.

  9. Nghiemphu, Phioanh L.

    1. Brain Tumor
      Pseudo-Resting-State Functional MRI Derived from Dynamic Susceptibility Contrast Perfusion MRI Can Predict Cognitive Impairment in Glioma
      Nicholas S. Cho, Chencai Wang, Kathleen Van Dyk, Francesco Sanvito, Sonoko Oshima, Jingwen Yao, Albert Lai, Noriko Salamon, Timothy F. Cloughesy, Phioanh L. Nghiemphu and Benjamin M. Ellingson
      American Journal of Neuroradiology October 2024, 45 (10) 1552-1561; DOI: https://doi.org/10.3174/ajnr.A8327

  10. Nolting, Svenja

    1. Neurointervention
      Endovascular Embolization as a Stand-Alone Treatment of Head and Neck Paragangliomas with Long-Term Tumor Control
      Samira Michel, Riccardo Ludovichetti, Gergely Bertalan, Patrick Thurner, Jawid Madjidyar, Tilman Schubert, Martina Broglie Däppen, Svenja Nölting, Alexander Huber and Zsolt Kulcsar
      American Journal of Neuroradiology October 2024, 45 (10) 1499-1505; DOI: https://doi.org/10.3174/ajnr.A8328
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