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    MRI Atlas-Based Measurement of Spinal Cord Injury Predicts Outcome in Acute Flaccid Myelitis | American Journal of Neuroradiology  
    



















    































    
  
  




    
    

  

      


    

      

  
  
  

    

  

    

  

                
    

      

  

    

  
      
  
  

    


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Research ArticleSPINE

  
      
Open Access

  
      
MRI Atlas-Based Measurement of Spinal Cord Injury Predicts Outcome in Acute Flaccid Myelitis
  
    	
D.B. McCoy, J.F. Talbott, Michael Wilson, M.D. Mamlouk, J. Cohen-Adad, Mark Wilson and J. Narvid

  
    	
American Journal of Neuroradiology February 2017,  38 (2) 410-417; DOI: https://doi.org/10.3174/ajnr.A5044 

  
  
  



  


  
  



			

		

	
	
 	
	  
  

		
		

			

			  

  
      
  
  

    
  


  
  



  
      
  
  

    

  

    

  
      
  
  

    
References
  1. 1.↵
    1. 

    2. Pons-Salort  M, 
    3. Parker  EP, 
    4. Grassly  NC
    . The epidemiology of non-polio enteroviruses: recent advances and outstanding questions. Curr Opin Infect Dis 2015;28:479–87 doi:10.1097/QCO.0000000000000187 pmid:26203854
    CrossRefPubMed
  2. 2.↵
    1. 

    2. Greninger  AL, 
    3. Naccache  SN, 
    4. Messacar  K, et al
    . A novel outbreak enterovirus D68 strain associated with acute flaccid myelitis cases in the USA (2012–14): a retrospective cohort study. Lancet Infect Dis 2015;15:671–82 doi:10.1016/S1473-3099(15)70093-9 pmid:25837569
    CrossRefPubMed
  3. 3.↵
    1. 

    2. Messacar  K, 
    3. Schreiner  TL, 
    4. Maloney  JA, et al
    . A cluster of acute flaccid paralysis and cranial nerve dysfunction temporally associated with an outbreak of enterovirus D68 in children in Colorado, USA. Lancet 2015;385:1662–71 doi:10.1016/S0140-6736(14)62457-0 pmid:25638662
    CrossRefPubMed
  4. 4.↵
    Division of Viral Diseases, National Centers for Immunization and Respiratory Diseases, CDC; Division of Vector-Borne Diseases, Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, CDC; Children's Hospital Colorado; Council of State and Territorial Epidemiologists. Notes from the field: acute flaccid myelitis among persons aged ≤21 years—United States, August 1-November 13, 2014. MMWR Morb Mortal Wkly Rep 2015:63:1243–44 pmid:25577990
    PubMed
  5. 5.↵
    1. 

    2. Maloney  JA, 
    3. Mirsky  DM, 
    4. Messacar  K, et al
    . MRI findings in children with acute flaccid paralysis and cranial nerve dysfunction occurring during the 2014 enterovirus D68 outbreak. AJNR Am J Neuroradiol 2015;36:245–50 doi:10.3174/ajnr.A4188 pmid:25414005
    Abstract/FREE Full Text
  6. 6.↵
    1. 

    2. Baruah  D, 
    3. Chandra  T, 
    4. Bajaj  M, et al
    . A simplified algorithm for diagnosis of spinal cord lesions. Curr Probl Diagn Radiol 2015;44:256–66 doi:10.1067/j.cpradiol.2014.12.004 pmid:25801464
    CrossRefPubMed
  7. 7.↵
    1. 

    2. Fonov  VS, 
    3. Le Troter  A, 
    4. Taso  M, et al
    . Framework for integrated MRI average of the spinal cord white and gray matter: the MNI-Poly-AMU template. Neuroimage 2014;102(Pt 2):817–27 doi:10.1016/j.neuroimage.2014.08.057 pmid:25204864
    CrossRefPubMed
  8. 8.↵
    1. 

    2. Cohen-Adad  J, 
    3. De Leener  B, 
    4. Benhamou  M, et al
    . Spinal Cord Toolbox: an open-source framework for processing spinal cord MRI data. In: Proceedings of the 20th Annual Meeting of Organization for Human Brain Mapping, Hamburg, Germany. June 8–14, 2014
  9. 9.↵
    1. 

    2. Lévy  S, 
    3. Benhamou  M, 
    4. Naaman  C, et al
    . White matter atlas of the human spinal cord with estimation of partial volume effect. Neuroimage 2015;119:262–71 doi:10.1016/j.neuroimage.2015.06.040 pmid:26099457
    CrossRefPubMed
  10. 10.↵
    1. 

    2. Ullmann  E, 
    3. Pelletier Paquette  JF, 
    4. Thong  WE, et al
    . Automatic labeling of vertebral levels using a robust template-based approach. Int J Biomed Imaging 2014;2014:719520 doi:10.1155/2014/719520 pmid:25132843
    CrossRefPubMed
  11. 11.↵
    1. 

    2. Yiannakas  MC, 
    3. Mustafa  AM, 
    4. De Leener  B, et al
    . Fully automated segmentation of the cervical cord from T1-weighted MRI using PropSeg: application to multiple sclerosis. Neuroimage Clin 2016;10:71–77 doi:10.1016/j.nicl.2015.11.001 pmid:26793433
    CrossRefPubMed
  12. 12.↵
    1. 

    2. Martin  AR, 
    3. De Leener  B, 
    4. Aleksanderek  I, et al
    . A prospective longitudinal study in degenerative cervical myelopathy using quantitative microstructural MRI with tract-specific metrics. In: Proceedings of the 24th Annual Meeting of International Society for Magnetic Resonance in Medicine, Suntec City, Singapore. May 7–13, 2016
  13. 13.↵
    1. 

    2. Okuda  DT, 
    3. Mowry  EM, 
    4. Cree  BA, et al
    . Asymptomatic spinal cord lesions predict disease progression in radiologically isolated syndrome. Neurology 2011;76:686–92 doi:10.1212/WNL.0b013e31820d8b1d pmid:21270417
    Abstract/FREE Full Text
  14. 14.↵
    1. 

    2. Schlaeger  R, 
    3. Papinutto  N, 
    4. Zhu  AH, et al
    . Association between thoracic spinal cord gray matter atrophy and disability in multiple sclerosis. JAMA Neurol 2015;72:897–904 doi:10.1001/jamaneurol.2015.0993 pmid:26053119
    CrossRefPubMed
  15. 15.↵
    1. 

    2. Kearney  H, 
    3. Miller  DH, 
    4. Ciccarelli  O
    . Spinal cord MRI in multiple sclerosis–diagnostic, prognostic and clinical value. Nat Rev Neurol 2015;11:327–38 doi:10.1038/nrneurol.2015.80 pmid:26009002
    CrossRefPubMed
  16. 16.↵
    1. 

    2. Bede  P, 
    3. Bokde  AL, 
    4. Byrne  S, et al
    . Spinal cord markers in ALS: diagnostic and biomarker considerations. Amyotroph Lateral Scler 2012;13:407–15 doi:10.3109/17482968.2011.649760 pmid:22329869
    CrossRefPubMed
  17. 17.↵
    1. 

    2. Mabray  MC, 
    3. Talbott  JF, 
    4. Whetstone  WD, et al
    . Multidimensional analysis of magnetic resonance imaging predicts early impairment in thoracic and thoracolumbar spinal cord injury. J Neurotrauma 2016;33:954–62 doi:10.1089/neu.2015.4093 pmid:26414451
    CrossRefPubMed
  18. 18.↵
    1. 

    2. Talbott  JF, 
    3. Whetstone  WD, 
    4. Readdy  WJ, et al
    . The Brain and Spinal Injury Center score: a novel, simple, and reproducible method for assessing the severity of acute cervical spinal cord injury with axial T2-weighted MRI findings. J Neurosurg Spine 2015;23:495–504 doi:10.3171/2015.1.SPINE141033 pmid:26161519
    CrossRefPubMed
  19. 19.↵
    1. 

    2. Dyck  PJ, 
    3. Boes  CJ, 
    4. Mulder  D, et al
    . History of standard scoring, notation, and summation of neuromuscular signs. A current survey and recommendation. J Peripher Nerv Syst 2005;10:158–73 doi:10.1111/j.1085-9489.2005.0010206.x pmid:15958127
    CrossRefPubMedWeb of Science
  20. 20.↵
    1. 

    2. Jenkinson  M, 
    3. Beckmann  CF, 
    4. Behrens  TE, et al
    . FSL. Neuroimage 2012;62:782–90 doi:10.1016/j.neuroimage.2011.09.015 pmid:21979382
    CrossRefPubMedWeb of Science
  21. 21.↵
    1. 

    2. De Leener  B, 
    3. Kadoury  S, 
    4. Cohen-Adad  J
    . Robust, accurate and fast automatic segmentation of the spinal cord. Neuroimage 2014;98:528–36 doi:10.1016/j.neuroimage.2014.04.051 pmid:24780696
    CrossRefPubMed
  22. 22.↵
    1. 

    2. Schneider  CA, 
    3. Rasband  WS, 
    4. Eliceiri  KW
    . NIH Image to ImageJ: 25 years of image analysis. Nat Methods 2012;9:671–75 doi:10.1038/nmeth.2089 pmid:22930834
    CrossRefPubMedWeb of Science
  23. 23.↵
    1. 

    2. Martin  AR, 
    3. Aleksanderek  I, 
    4. Cohen-Adad  J, et al
    . Translating state-of-the-art spinal cord MRI techniques to clinical use: a systematic review of clinical studies utilizing DTI, MT, MWF, MRS, and fMRI. Neuroimage Clin 2016;10:192–238 doi:10.1016/j.nicl.2015.11.019 pmid:26862478
    CrossRefPubMed
  24. 24.↵
    1. 

    2. Evans  AC, 
    3. Janke  AL, 
    4. Collins  DL, et al
    . Brain templates and atlases. Neuroimage 2012;62:911–22 doi:10.1016/j.neuroimage.2012.01.024 pmid:22248580
    CrossRefPubMedWeb of Science
  25. 25.↵
    1. 

    2. Tihan  T
    . Pathologic approach to spinal cord infections. Neuroimaging Clin N Am 2015;25:163–72 doi:10.1016/j.nic.2015.01.010 pmid:25952171
    CrossRefPubMed
  26. 26.↵
    1. 

    2. Jubelt  B, 
    3. Lipton  HL
    . Enterovirus/picornavirus infections. Handb Clin Neurol 2014;123:379–416 doi:10.1016/B978-0-444-53488-0.00018-3 pmid:25015496
    CrossRefPubMed
  27. 27.↵
    1. 

    2. You  JY, 
    3. Lee  JW, 
    4. Lee  E, et al
    . MR classification system based on axial images for cervical compressive myelopathy. Radiology 2015;276:553–61 doi:10.1148/radiol.2015142384 pmid:25906184
    CrossRefPubMed
  28. 28.↵
    1. 

    2. Hendrix  P, 
    3. Griessenauer  CJ, 
    4. Cohen-Adad  J, et al
    . Spinal diffusion tensor imaging: a comprehensive review with emphasis on spinal cord anatomy and clinical applications. Clinical Anat 2015;28:88–95 doi:10.1002/ca.22349 pmid:24497009
    CrossRefPubMed
  29. 29.↵
    1. 

    2. De Leener  B, 
    3. Taso  M, 
    4. Fonov  V, et al
    . Fully-integrated T1, T2, T2*, white and gray matter atlases of the spinal cord. In: Proceedings of the 24th Annual Meeting of International Society for Magnetic Resonance in Medicine, Suntec City, Singapore. May 7–13, 2016
  


  
  



  




  


  
  



  
      
  
  

    
  


  
  



  
      
  
  

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MRI Atlas-Based Measurement of Spinal Cord Injury Predicts Outcome in Acute Flaccid Myelitis
  
    	
D.B. McCoy, J.F. Talbott, Michael Wilson, M.D. Mamlouk, J. Cohen-Adad, Mark Wilson, J. Narvid

  
    	
 American Journal of Neuroradiology Feb 2017, 38 (2) 410-417; DOI: 10.3174/ajnr.A5044 

  
  
  



  


  
  



  
      
  
  

    

  
    
  
  
    
  
  
    
  


  


  
  



  
      
  
  

    
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