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American Journal of Neuroradiology

Index by author

September 01, 2024; Volume 45,Issue 9

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Yang, Andrew Z.
1. Artificial Intelligence
  
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  Assessing the Emergence and Evolution of Artificial Intelligence and Machine Learning Research in Neuroradiology
  Alexandre Boutet, Samuel S. Haile, Andrew Z. Yang, Hyo Jin Son, Mikail Malik, Vivek Pai, Mehran Nasralla, Jurgen Germann, Artur Vetkas, Farzad Khalvati and Birgit B. Ertl-Wagner
  
  American Journal of Neuroradiology September 2024, 45 (9) 1269-1275; DOI: https://doi.org/10.3174/ajnr.A8252
Yang, Yi
1. Neurointervention
  
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  MCA Parallel Anatomic Scanning MR Imaging–Guided Recanalization of a Chronic Occluded MCA by Endovascular Treatment
  Cheng-Chun Liu, Yi Yang, Jun Dong, Zhi-Qiang Sun, Qi-Sheng Ran, Wei Li, Wang-Sheng Jin and Meng Zhang
  
  American Journal of Neuroradiology September 2024, 45 (9) 1227-1229; DOI: https://doi.org/10.3174/ajnr.A8303
Yates, Andrew H.
1. FELLOWS' JOURNAL CLUBEmergency Neuroradiology
  
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  An Optimized CT Protocol for Detecting Suspected Cauda Equina Syndrome: A Comparative Analysis with MRI
  Philip J. Dempsey, David T. Ryan, Gerard Lambe, Jack W. Power, Andrew H. Yates, Grace Kenny and Peter J. MacMahon
  
  American Journal of Neuroradiology September 2024, 45 (9) 1370-1377; DOI: https://doi.org/10.3174/ajnr.A8315
  
  This study prospectively evaluated the diagnostic accuracy of an optimized CT lumbar spine protocol as a potential alternative to MRI in assessing suspected neural compression. CT accurately identified all cases requiring urgent decompression. CT had 97% sensitivity, specificity, and positive and negative predictive values in detecting disc pathology in patients presenting with symptoms suggestive of acute neural compression compared with MRI.

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