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    Index by author — January 01, 2019, 40 (1) | American Journal of Neuroradiology  
    
















    





















    
  
  




    
    

  

      


    

      

  
  
  

    

  

    

  

                
    

      

  

    

  
      
  
  

    


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Index by author
  	
      
January 01, 2019; Volume 40,Issue 1 

  
  
   

  
  



  


  
  



			

		

	
	
 	
	  
  

		
		

			

			  

  
      
  
  

    
  1. Faron, A.
    1. 
  
  
      
      EDITOR'S CHOICEAdult Brain 
      
  
      
      
  
      Deep Learning–Based Detection of Intracranial Aneurysms in 3D TOF-MRA  
    	
      T. Sichtermann, A. Faron, R. Sijben, N. Teichert, J. Freiherr and M. Wiesmann
      
  
    	
      American Journal of Neuroradiology January 2019, 40 (1) 25-32; DOI: https://doi.org/10.3174/ajnr.A5911 
      
  
    	
      In a retrospective study, the authors established a system for the detection of intracranial aneurysms from 3D TOF-MRA data. The system is based on an open-source neural network, originally developed for segmentation of anatomic structures in medical images. Eighty-five datasets of patients with a total of 115 intracranial aneurysms were used to train the system and evaluate its performance. Manual annotation of aneurysms based on radiologic reports and critical revision of image data served as the reference standard. The highest overall sensitivity of this system for the detection of intracranial aneurysms was 90% with a sensitivity of 96% for aneurysms with a diameter of 3–7 mm and 100% for aneurysms of >7 mm. The best location-dependent performance was in the posterior circulation.
      
  
  

      

  2. Fisher, J.A.
    1. 
  
  
      
      EDITOR'S CHOICEAdult Brain 
      
  
      
      
  
      Improved White Matter Cerebrovascular Reactivity after Revascularization in Patients with Steno-Occlusive Disease  
    	
      L. McKetton, L. Venkatraghavan, C. Rosen, D.M. Mandell, K. Sam, O. Sobczyk, J. Poublanc, E. Gray, A. Crawley, J. Duffin, J.A. Fisher and D.J. Mikulis
      
  
    	
      American Journal of Neuroradiology January 2019, 40 (1) 45-50; DOI: https://doi.org/10.3174/ajnr.A5912 
      
  
    	
      Thirty-five patients with steno-occlusive disease (Moyamoya disease [n = 24], Moyamoya syndrome [n = 3], atherosclerosis [n = 6], vasculitis [n = 1], and idiopathic stenosis [n = 1]) who underwent unilateral brain revascularization using a direct superficial temporal artery–to-MCA bypass were evaluated. WM cerebrovascular reactivity was measured preoperatively and postoperatively using BOLD MR imaging during iso-oxic hypercapnic changes in end-tidal carbon dioxide. WM cerebrovascular reactivity significantly improved after direct unilateral superficial temporal artery–to-MCA bypass in the revascularized hemisphere in the MCA territory and in the anterior cerebral artery territory.
      
  
  

      

  3. Fisher, P.G.
    1. 
  
  
      
      Pediatrics 
      
  
      
      Open Access
      
  
      MR Imaging–Based Radiomic Signatures of Distinct Molecular Subgroups of Medulloblastoma  
    	
      M. Iv, M. Zhou, K. Shpanskaya, S. Perreault, Z. Wang, E. Tranvinh, B. Lanzman, S. Vajapeyam, N.A. Vitanza, P.G. Fisher, Y.J. Cho, S. Laughlin, V. Ramaswamy, M.D. Taylor, S.H. Cheshier, G.A. Grant, T. Young Poussaint, O. Gevaert and K.W. Yeom
      
  
    	
      American Journal of Neuroradiology January 2019, 40 (1) 154-161; DOI: https://doi.org/10.3174/ajnr.A5899 
      
  
  
  

      

  4. Flanders, A.E.
    1. 
  
  
      
      Practice Perspectives 
      
  
      
      
  
      The ASNR-ACR-RSNA Common Data Elements Project: What Will It Do for the House of Neuroradiology?  
    	
      A.E. Flanders and J.E. Jordan
      
  
    	
      American Journal of Neuroradiology January 2019, 40 (1) 14-18; DOI: https://doi.org/10.3174/ajnr.A5780 
      
  
  
  

      

  5. Fletcher, G.P.
    1. 
  
  
      
      Head & Neck 
      
  
      
      
  
      Parapharyngeal Space Venous Malformation: An Imaging Mimic of Pleomorphic Adenoma  
    	
      C.M. Tomblinson, G.P. Fletcher, T.K. Lidner, C.P. Wood, S.M. Weindling and J.M. Hoxworth
      
  
    	
      American Journal of Neuroradiology January 2019, 40 (1) 150-153; DOI: https://doi.org/10.3174/ajnr.A5859 
      
  
  
  

      

  6. Franca, M.C.
    1. 
  
  
      
      Pediatrics 
      
  
      
      
  
      “Ears of the Lynx” MRI Sign Is Associated with SPG11 and SPG15 Hereditary Spastic Paraplegia  
    	
      B. Pascual, S.T. de Bot, M.R. Daniels, M.C. França, C. Toro, M. Riverol, P. Hedera, M.T. Bassi, N. Bresolin, B.P. van de Warrenburg, B. Kremer, J. Nicolai, P. Charles, J. Xu, S. Singh, N.J. Patronas, S.H. Fung, M.D. Gregory and J.C. Masdeu
      
  
    	
      American Journal of Neuroradiology January 2019, 40 (1) 199-203; DOI: https://doi.org/10.3174/ajnr.A5935 
      
  
  
  

      

  7. Freiherr, J.
    1. 
  
  
      
      EDITOR'S CHOICEAdult Brain 
      
  
      
      
  
      Deep Learning–Based Detection of Intracranial Aneurysms in 3D TOF-MRA  
    	
      T. Sichtermann, A. Faron, R. Sijben, N. Teichert, J. Freiherr and M. Wiesmann
      
  
    	
      American Journal of Neuroradiology January 2019, 40 (1) 25-32; DOI: https://doi.org/10.3174/ajnr.A5911 
      
  
    	
      In a retrospective study, the authors established a system for the detection of intracranial aneurysms from 3D TOF-MRA data. The system is based on an open-source neural network, originally developed for segmentation of anatomic structures in medical images. Eighty-five datasets of patients with a total of 115 intracranial aneurysms were used to train the system and evaluate its performance. Manual annotation of aneurysms based on radiologic reports and critical revision of image data served as the reference standard. The highest overall sensitivity of this system for the detection of intracranial aneurysms was 90% with a sensitivity of 96% for aneurysms with a diameter of 3–7 mm and 100% for aneurysms of >7 mm. The best location-dependent performance was in the posterior circulation.
      
  
  

      

  8. Fung, S.H.
    1. 
  
  
      
      Pediatrics 
      
  
      
      
  
      “Ears of the Lynx” MRI Sign Is Associated with SPG11 and SPG15 Hereditary Spastic Paraplegia  
    	
      B. Pascual, S.T. de Bot, M.R. Daniels, M.C. França, C. Toro, M. Riverol, P. Hedera, M.T. Bassi, N. Bresolin, B.P. van de Warrenburg, B. Kremer, J. Nicolai, P. Charles, J. Xu, S. Singh, N.J. Patronas, S.H. Fung, M.D. Gregory and J.C. Masdeu
      
  
    	
      American Journal of Neuroradiology January 2019, 40 (1) 199-203; DOI: https://doi.org/10.3174/ajnr.A5935 
      
  
  
  

      

  


  
  



  
      
  
  

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