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    Index by author — February 01, 2024, 45 (2) | American Journal of Neuroradiology  
    
















    





















    
  
  




    
    

  

      


    

      

  
  
  

    

  

    

  

                
    

      

  

    

  
      
  
  

    


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Index by author
  	
      
February 01, 2024; Volume 45,Issue 2 

  
  
   

  
  



  


  
  



			

		

	
	
 	
	  
  

		
		

			

			  

  
      
  
  

    
  1. Takahashi, Satoru
    1. 
  
  
      
      LETTER 
      
  
      
      
  
      Setting the Bar: The Japanese College of Radiology’s Perspective on Safeguarding Quality in the Interpretation of Cross-Sectional Studies per Day  
    	
      Satoru Takahashi, Kei Yamada and Board members of Japanese College of Radiology
      
  
    	
      American Journal of Neuroradiology February 2024, 45 (2) E2; DOI: https://doi.org/10.3174/ajnr.A8037 
      
  
  
  

      

  2. Tanabe, J.
    1. 
  
  
      
      Neuroimaging Physics/Functional Neuroimaging/CT and MRI Technology 
      
  
      
      
  
      Recommended Resting-State fMRI Acquisition and Preprocessing Steps for Preoperative Mapping of Language and Motor and Visual Areas in Adult and Pediatric Patients with Brain Tumors and Epilepsy  
    	
      V.A. Kumar, J. Lee, H.-L. Liu, J.W. Allen, C.G. Filippi, A.I. Holodny, K. Hsu, R. Jain, M.P. McAndrews, K.K. Peck, G. Shah, J.S. Shimony, S. Singh, M. Zeineh, J. Tanabe, B. Vachha, A. Vossough, K. Welker, C. Whitlow, M. Wintermark, G. Zaharchuk and H.I. Sair
      
  
    	
      American Journal of Neuroradiology February 2024, 45 (2) 139-148; DOI: https://doi.org/10.3174/ajnr.A8067 
      
  
  
  

      

  3. Tang, Hubert
    1. 
  
  
      
      EDITOR'S CHOICEArtificial Intelligence 
      
  
      
      Open Access
      
  
      AI-Assisted Summarization of Radiologic Reports: Evaluating GPT3davinci, BARTcnn, LongT5booksum, LEDbooksum, LEDlegal, and LEDclinical  
    	
      Aichi Chien, Hubert Tang, Bhavita Jagessar, Kai-wei Chang, Nanyun Peng, Kambiz Nael and Noriko Salamon
      
  
    	
      American Journal of Neuroradiology February 2024, 45 (2) 244-248; DOI: https://doi.org/10.3174/ajnr.A8102 
      
  
    	
      This study quantitatively evaluated the performance of natural language processing models using real, longitudinal brain aneurysm imaging reports to objectively understand the strength and weakness of these new technologies.
      
  
  

      

  4. Taylor, Terrie E.
    1. 
  
  
      
      Pediatric Neuroimaging 
      
  
      
      
  
      MRI-Based Brain Volume Scoring in Cerebral Malaria Is Externally Valid and Applicable to Lower-Resolution Images  
    	
      Manu S. Goyal, Lorenna Vidal, Karen Chetcuti, Cowles Chilingulo, Khalid Ibrahim, Jeffrey Zhang, Dylan S. Small, Karl B. Seydel, Nicole O’Brien, Terrie E. Taylor and Douglas G. Postels
      
  
    	
      American Journal of Neuroradiology February 2024, 45 (2) 205-210; DOI: https://doi.org/10.3174/ajnr.A8098 
      
  
  
  

      

  5. Telesca, Donatello
    1. 
  
  
      
      EDITOR'S CHOICEBrain Tumor Imaging 
      
  
      
      
  
      Quantification of T2-FLAIR Mismatch in Nonenhancing Diffuse Gliomas Using Digital Subtraction  
    	
      Nicholas S. Cho, Francesco Sanvito, Viên Lam Le, Sonoko Oshima, Ashley Teraishi, Jingwen Yao, Donatello Telesca, Catalina Raymond, Whitney B. Pope, Phioanh L. Nghiemphu, Albert Lai, Timothy F. Cloughesy, Noriko Salamon and Benjamin M. Ellingson
      
  
    	
      American Journal of Neuroradiology February 2024, 45 (2) 188-197; DOI: https://doi.org/10.3174/ajnr.A8094 
      
  
    	
      The T2-FLAIR mismatch sign on MR imaging, usually determined by visual assessment, is a highly specific imaging biomarker of IDH-mutant astrocytomas. The authors of this study quantified the degree of T2-FLAIR mismatch in nonenhancing diffuse gliomas. Thresholds of ≥42% T2-FLAIR mismatch volume classified IDH-mutant astrocytoma with a specificity/sensitivity of 100%/19.6% (TCIA) and 100%/31.6% (institutional). They also found that grades 3–4 compared with grade 2 IDH-mutant astrocytomas (P<.05) had a higher percentage T2-FLAIR mismatch volume.
      
  
  

      

  6. Teraishi, Ashley
    1. 
  
  
      
      EDITOR'S CHOICEBrain Tumor Imaging 
      
  
      
      
  
      Quantification of T2-FLAIR Mismatch in Nonenhancing Diffuse Gliomas Using Digital Subtraction  
    	
      Nicholas S. Cho, Francesco Sanvito, Viên Lam Le, Sonoko Oshima, Ashley Teraishi, Jingwen Yao, Donatello Telesca, Catalina Raymond, Whitney B. Pope, Phioanh L. Nghiemphu, Albert Lai, Timothy F. Cloughesy, Noriko Salamon and Benjamin M. Ellingson
      
  
    	
      American Journal of Neuroradiology February 2024, 45 (2) 188-197; DOI: https://doi.org/10.3174/ajnr.A8094 
      
  
    	
      The T2-FLAIR mismatch sign on MR imaging, usually determined by visual assessment, is a highly specific imaging biomarker of IDH-mutant astrocytomas. The authors of this study quantified the degree of T2-FLAIR mismatch in nonenhancing diffuse gliomas. Thresholds of ≥42% T2-FLAIR mismatch volume classified IDH-mutant astrocytoma with a specificity/sensitivity of 100%/19.6% (TCIA) and 100%/31.6% (institutional). They also found that grades 3–4 compared with grade 2 IDH-mutant astrocytomas (P<.05) had a higher percentage T2-FLAIR mismatch volume.
      
  
  

      

  7. Torres, Carlos
    1. 
  
  
      
      Editorial 
      
  
      
      
  
      Striking a Balance: Global Perspectives on Neuroradiology Workload and Quality of Service  
    	
      Max Wintermark, Kei Yamada, Tchoyoson Lim, Roy Riascos, Carlos Torres and Tarek Yousry
      
  
    	
      American Journal of Neuroradiology February 2024, 45 (2) 127; DOI: https://doi.org/10.3174/ajnr.A8125 
      
  
  
  

      

  


  
  



  
      
  
  

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