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    Index by author — September 01, 2024, 45 (9) | American Journal of Neuroradiology  
    
















    





















    
  
  




    
    

  

      


    

      

  
  
  

    

  

    

  

                
    

      

  

    

  
      
  
  

    


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Index by author
  	
      
September 01, 2024; Volume 45,Issue 9 

  
  
   

  
  



  


  
  



			

		

	
	
 	
	  
  

		
		

			

			  

  
      
  
  

    
  1. Yang, Andrew Z.
    1. 
  
  
      
      Artificial Intelligence 
      
  
      
      
  
      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 
      
  
  
  

      

  2. Yang, Yi
    1. 
  
  
      
      Neurointervention 
      
  
      
      
  
      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 
      
  
  
  

      

  3. Yates, Andrew H.
    1. 
  
  
      
      FELLOWS' JOURNAL CLUBEmergency Neuroradiology 
      
  
      
      
  
      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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