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    Index by author — April 01, 2024, 45 (4) | American Journal of Neuroradiology  
    
















    





















    
  
  




    
    

  

      


    

      

  
  
  

    

  

    

  

                
    

      

  

    

  
      
  
  

    


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Index by author
  	
      
April 01, 2024; Volume 45,Issue 4 

  
  
   

  
  



  


  
  



			

		

	
	
 	
	  
  

		
		

			

			  

  
      
  
  

    
  1. Hacein-bey, Lotfi
    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 
      
  
  
  

      

  2. Halm, Karen
    1. 
  
  
      
      Editorial 
      
  
      
      
  
      Introducing Our New AJNR Early Career, Women in Neuroradiology, and Global Neuroradiology Awards  
    	
      Nicholas S. Cho, Burak Berksu Ozkara, Alexandre Boutet, Karen Halm, Laura Wilhelm, Lubdha Shah and Max Wintermark
      
  
    	
      American Journal of Neuroradiology April 2024, 45 (4) 362; DOI: https://doi.org/10.3174/ajnr.A8231 
      
  
  
  

      

  3. Hamer, John F
    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 
      
  
  
  

      

  4. Han, Kaihao
    1. 
  
  
      
      Neurointervention 
      
  
      
      
  
      Predictors of In-Stent Stenosis Following the Implantation of Pipeline Embolization Devices for the Treatment of Aneurysms Located at or beyond the Circle of Willis in the Anterior Circulation  
    	
      Yajing Ma, Xin Deng, Junfan Chen, Feng Fan, Kaihao Han, Sheng Guan and Xinbin Guo
      
  
    	
      American Journal of Neuroradiology April 2024, 45 (4) 412-417; DOI: https://doi.org/10.3174/ajnr.A8144 
      
  
  
  

      

  5. Hashmi, Syed S.
    1. 
  
  
      
      Brain Tumor Imaging 
      
  
      
      Open Access
      
  
      Arterial Spin-Labeling and DSC Perfusion Metrics Improve Agreement in Neuroradiologists’ Clinical Interpretations of Posttreatment High-Grade Glioma Surveillance MR Imaging—An Institutional Experience  
    	
      Ghiam Yamin, Eric Tranvinh, Bryan A. Lanzman, Elizabeth Tong, Syed S. Hashmi, Chirag B. Patel and Michael Iv
      
  
    	
      American Journal of Neuroradiology April 2024, 45 (4) 453-460; DOI: https://doi.org/10.3174/ajnr.A8190 
      
  
  
  

      

  6. Heit, Jeremy J.
    1. 
  
  
      
      EDITOR'S CHOICENeurovascular/Stroke Imaging 
      
  
      
      
  
      A Clinical and Imaging Fused Deep Learning Model Matches Expert Clinician Prediction of 90-Day Stroke Outcomes  
    	
      Yongkai Liu, Preya Shah, Yannan Yu, Jai Horsey, Jiahong Ouyang, Bin Jiang, Guang Yang, Jeremy J. Heit, Margy E. McCullough-Hicks, Stephen M. Hugdal, Max Wintermark, Patrik Michel, David S. Liebeskind, Maarten G. Lansberg, Gregory W. Albers and Greg Zaharchuk
      
  
    	
      American Journal of Neuroradiology April 2024, 45 (4) 406-411; DOI: https://doi.org/10.3174/ajnr.A8140 
      
  
    	
      The authors in this study used a deep learning-based predictive model (DLPD) that incorporated DWI and clinical data from the acute period to predict 90-day mRS outcomes and compared its predictions with those made by physicians. The results showed that the clinical and imaging fused deep learning model is noninferior to expert physicians in predicting specific mRS outcomes and unfavorable prognoses.
      
  
  

      

  7. Hendrikse, J.
    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 
      
  
  
  

      

  8. Holay, Q.
    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 
      
  
  
  

      

  9. Horsey, Jai
    1. 
  
  
      
      EDITOR'S CHOICENeurovascular/Stroke Imaging 
      
  
      
      
  
      A Clinical and Imaging Fused Deep Learning Model Matches Expert Clinician Prediction of 90-Day Stroke Outcomes  
    	
      Yongkai Liu, Preya Shah, Yannan Yu, Jai Horsey, Jiahong Ouyang, Bin Jiang, Guang Yang, Jeremy J. Heit, Margy E. McCullough-Hicks, Stephen M. Hugdal, Max Wintermark, Patrik Michel, David S. Liebeskind, Maarten G. Lansberg, Gregory W. Albers and Greg Zaharchuk
      
  
    	
      American Journal of Neuroradiology April 2024, 45 (4) 406-411; DOI: https://doi.org/10.3174/ajnr.A8140 
      
  
    	
      The authors in this study used a deep learning-based predictive model (DLPD) that incorporated DWI and clinical data from the acute period to predict 90-day mRS outcomes and compared its predictions with those made by physicians. The results showed that the clinical and imaging fused deep learning model is noninferior to expert physicians in predicting specific mRS outcomes and unfavorable prognoses.
      
  
  

      

  10. Hosseini, Zahra
    1. 
  
  
      
      EDITOR'S CHOICEEmergency Neuroradiology 
      
  
      
      
  
      Clinical Evaluation of a 2-Minute Ultrafast Brain MR Protocol for Evaluation of Acute Pathology in the Emergency and Inpatient Settings  
    	
      Min Lang, Bryan Clifford, Wei-Ching Lo, Brooks P. Applewhite, Azadeh Tabari, Augusto Lio M. Goncalves Filho, Zahra Hosseini, Maria Gabriela Figueiro Longo, Stephen F. Cauley, Kawin Setsompop, Berkin Bilgic, Thorsten Feiweier, Michael H. Lev, Pamela W. Schaefer, Otto Rapalino, Susie Y. Huang and John Conklin
      
  
    	
      American Journal of Neuroradiology April 2024, 45 (4) 379-385; DOI: https://doi.org/10.3174/ajnr.A8143 
      
  
    	
      Ultrafast MR imaging (2.1 minutes) reconstructed with machine-learning assisted framework demonstrated significant reduction in motion artifacts and 98.5% agreement with the reference MR protocol (10 minutes) on the main clinical diagnosis, though there were greater image noise and geometric distortion on the ultrafast protocol.
      
  
  

      

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