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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. Liu, Yongkai
    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.
      
  
  

      

  2. Lo, Wei-Ching
    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.
      
  
  

      

  3. Longo, Maria Gabriela Figueiro
    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.
      
  
  

      

  4. Lozupone, Emilio
    1. 
  
  
      
      FELLOWS' JOURNAL CLUBNeurovascular/Stroke Imaging 
      
  
      
      
  
      Hemorrhage Volume Drives Early Brain Injury and Outcome in Poor-Grade Aneurysmal SAH  
    	
      Pietro Panni, Franco Simionato, Roberta Cao, Alessandro Pedicelli, Enrico Marchese, Anselmo Caricato, Andrea Alexandre, Alberto Feletti, Mattia Testa, Paolo Zanatta, Nicola Gitti, Simone Piva, Dikran Mardighian, Vittorio Semeraro, Giordano Nardin, Emilio Lozupone, Giafranco Paiano, Edoardo Picetti, Vito Montanaro, Massimo Petranca, Carlo Bortolotti, Antonino Scibilia, Luigi Cirillo, Raffaele Aspide, Andrea Luigi Lanterna, Alessandro Ambrosi, Pietro Mortini, Maria Luisa Azzolini, Maria Rosa Calvi, Andrea Falini and on behalf of the POGASH Investigators
      
  
    	
      American Journal of Neuroradiology April 2024, 45 (4) 393-399; DOI: https://doi.org/10.3174/ajnr.A8135 
      
  
    	
      Early brain injury (radiologically defined by global cerebral edema) is a major determinant of clinical outcome in poor-grade aneurysmal SAH. In this retrospective study of 400 patients with poor-grade aneurysmal SAH, it was shown that intracerebral hemorrhage volume independently predicted global cerebral edema and long-term outcome, intraventricular hemorrhage volume predicted mortality and long-term outcome, and SAH volume predicted long-term clinical outcome.
      
  
  

      

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