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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. Taylor, M.D.
    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 
      
  
  
  

      

  2. Tedeschi, E.
    1. 
  
  
      
      EDITOR'S CHOICEAdult Brain 
      
  
      
      Open Access
      
  
      Determinants of Deep Gray Matter Atrophy in Multiple Sclerosis: A Multimodal MRI Study  
    	
      G. Pontillo, S. Cocozza, R. Lanzillo, C. Russo, M.D. Stasi, C. Paolella, E.A. Vola, C. Criscuolo, P. Borrelli, G. Palma, E. Tedeschi, V.B. Morra, A. Elefante and A. Brunetti
      
  
    	
      American Journal of Neuroradiology January 2019, 40 (1) 99-106; DOI: https://doi.org/10.3174/ajnr.A5915 
      
  
    	
      Seventy-seven patients with MS and 44 healthy controls were enrolled in this cross-sectional study. MR imaging investigation included volumetric, diffusion tensor imaging, perfusion weighted imaging, and Quantitative Susceptibility Mapping analyses. Deep gray matter structures were automatically segmented to obtain volumes and mean values for each MR imaging metric in the thalamus, caudate, putamen, and globus pallidus. Patients with MS showed a multifaceted involvement of the thalamus and basal ganglia, with significant atrophy of all deep gray matter structures. In the relapsing-remitting MS group, WM lesion burden proved to be the main contributor to volume loss for all deep gray matter structures.
      
  
  

      

  3. Teichert, N.
    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.
      
  
  

      

  4. Teuho, J.
    1. 
  
  
      
      Adult Brain 
      
  
      
      Open Access
      
  
      Brain β-Amyloid and Atrophy in Individuals at Increased Risk of Cognitive Decline  
    	
      I.K. Martikainen, N. Kemppainen, J. Johansson, J. Teuho, S. Helin, Y. Liu, S. Helisalmi, H. Soininen, R. Parkkola, T. Ngandu, M. Kivipelto and J.O. Rinne
      
  
    	
      American Journal of Neuroradiology January 2019, 40 (1) 80-85; DOI: https://doi.org/10.3174/ajnr.A5891 
      
  
  
  

      

  5. Tian, X.
    1. 
  
  
      
      LETTER 
      
  
      
      
  
      Reply:  
    	
      C. Zhu, X. Tian, A.J. Degnan, J. Lu and Q. Liu
      
  
    	
      American Journal of Neuroradiology January 2019, 40 (1) E2; DOI: https://doi.org/10.3174/ajnr.A5895 
      
  
  
  

      

  6. Tiziano Di Carlo, D.
    1. 
  
  
      
      Interventional 
      
  
      
      
  
      Y-Stent-Assisted Coiling of Wide-Neck Bifurcation Intracranial Aneurysms: A Meta-Analysis  
    	
      F. Cagnazzo, N. Limbucci, S. Nappini, L. Renieri, A. Rosi, A. Laiso, D. Tiziano di Carlo, P. Perrini and S. Mangiafico
      
  
    	
      American Journal of Neuroradiology January 2019, 40 (1) 122-128; DOI: https://doi.org/10.3174/ajnr.A5900 
      
  
  
  

      

  7. Tomblinson, C.M.
    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 
      
  
  
  

      

  8. Toquet, C.
    1. 
  
  
      
      FELLOWS' JOURNAL CLUBAdult Brain 
      
  
      
      
  
      MRI Quantitative T2* Mapping to Predict Dominant Composition of In Vitro Thrombus  
    	
      R. Bourcier, R. Pautre, M. Mirza, C. Castets, J. Darcourt, J. Labreuche, L. Detraz, H. Desal, J.-M. Serfaty and C. Toquet
      
  
    	
      American Journal of Neuroradiology January 2019, 40 (1) 59-64; DOI: https://doi.org/10.3174/ajnr.A5938 
      
  
    	
      Thirty-five thrombus analogs of different compositions were scanned with an MR imaging quantitative T2* mapping sequence. Two radiologists, blinded to thrombus composition, measured the thrombus-T2* relaxation time twice, at an interval of 2 weeks. Quantitative histologic evaluations of red blood cell content were performed. Inter- and intraobserver reproducibility of the thrombus-T2* relaxation time was assessed by calculating intraclass correlation coefficients. MR imaging quantitative T2* mapping can reliably identify the thrombus red blood cell content in vitro. This fast, easy-to-use sequence could be implemented in routine practice.
      
  
  

      

  9. Toro, 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 
      
  
  
  

      

  10. Tranvinh, E.
    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 
      
  
  
  

      

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