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    Index by author — May 01, 2017, 38 (5) | American Journal of Neuroradiology  
    
















    





















    
  
  




    
    

  

      


    

      

  
  
  

    

  

    

  

                
    

      

  

    

  
      
  
  

    


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Index by author
  	
      
May 01, 2017; Volume 38,Issue 5 

  
  
   

  
  



  


  
  



			

		

	
	
 	
	  
  

		
		

			

			  

  
      
  
  

    
  1. Elbe, P.
    1. 
  
  
      
      ADULT BRAIN 
      
  
      
      Open Access
      
  
      Restriction Spectrum Imaging Improves Risk Stratification in Patients with Glioblastoma  
    	
      A.P. Krishnan, R. Karunamuni, K.M. Leyden, T.M. Seibert, R.L. Delfanti, J.M. Kuperman, H. Bartsch, P. Elbe, A. Srikant, A.M. Dale, S. Kesari, D.E. Piccioni, J.A. Hattangadi-Gluth, N. Farid, C.R. McDonald and N.S. White
      
  
    	
      American Journal of Neuroradiology May 2017, 38 (5) 882-889; DOI: https://doi.org/10.3174/ajnr.A5099 
      
  
  
  

      

  2. Elkind, M.S.V.
    1. 
  
  
      
      ADULT BRAIN 
      
  
      
      Open Access
      
  
      Brain Perivascular Spaces as Biomarkers of Vascular Risk: Results from the Northern Manhattan Study  
    	
      J. Gutierrez, M.S.V. Elkind, C. Dong, M. Di Tullio, T. Rundek, R.L. Sacco and C.B. Wright
      
  
    	
      American Journal of Neuroradiology May 2017, 38 (5) 862-867; DOI: https://doi.org/10.3174/ajnr.A5129 
      
  
  
  

      

  3. Englander, Z.K.
    1. 
  
  
      
      EDITOR'S CHOICEADULT BRAIN 
      
  
      
      
  
      A Multiparametric Model for Mapping Cellularity in Glioblastoma Using Radiographically Localized Biopsies  
    	
      P.D. Chang, H.R. Malone, S.G. Bowden, D.S. Chow, B.J.A. Gill, T.H. Ung, J. Samanamud, Z.K. Englander, A.M. Sonabend, S.A. Sheth, G.M. McKhann, M.B. Sisti, L.H. Schwartz, A. Lignelli, J. Grinband, J.N. Bruce and P. Canoll
      
  
    	
      American Journal of Neuroradiology May 2017, 38 (5) 890-898; DOI: https://doi.org/10.3174/ajnr.A5112 
      
  
    	
      Ninety-one localized biopsies were obtained from 36 patients with glioblastoma. Signal intensities corresponding to these samples were derived from T1-postcontrast subtraction, T2-FLAIR, and ADC sequences by using an automated coregistration algorithm. Cell density was calculated for each specimen by using an automated cell-counting algorithm. T2-FLAIR and ADC sequences were inversely correlated with cell density. T1-postcontrast subtraction was directly correlated with cell density. The authors conclude that the model illustrates a quantitative and significant relationship between MR signal and cell density. Applying this relationship over the entire tumor volume allows mapping of the intratumoral heterogeneity for both enhancing core and nonenhancing margins.
      
  
  

      

  


  
  



  
      
  
  

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