1naresh
Array
(
    [urn:ac.highwire.org:guest:identity] => Array
        (
            [runtime-id] => urn:ac.highwire.org:guest:identity
            [type] => guest
            [service-id] => ajnr-ac.highwire.org
            [access-type] => Controlled
            [privilege] => Array
                (
                    [urn:ac.highwire.org:guest:privilege] => Array
                        (
                            [runtime-id] => urn:ac.highwire.org:guest:privilege
                            [type] => privilege-set
                            [privilege-set] => GUEST
                        )

                )

            [credentials] => Array
                (
                    [method] => guest
                )

        )

)
1naresh
Array
(
    [urn:ac.highwire.org:guest:identity] => Array
        (
            [runtime-id] => urn:ac.highwire.org:guest:identity
            [type] => guest
            [service-id] => ajnr-ac.highwire.org
            [access-type] => Controlled
            [privilege] => Array
                (
                    [urn:ac.highwire.org:guest:privilege] => Array
                        (
                            [runtime-id] => urn:ac.highwire.org:guest:privilege
                            [type] => privilege-set
                            [privilege-set] => GUEST
                        )

                )

            [credentials] => Array
                (
                    [method] => guest
                )

        )

)
1naresh
Array
(
    [urn:ac.highwire.org:guest:identity] => Array
        (
            [runtime-id] => urn:ac.highwire.org:guest:identity
            [type] => guest
            [service-id] => ajnr-ac.highwire.org
            [access-type] => Controlled
            [privilege] => Array
                (
                    [urn:ac.highwire.org:guest:privilege] => Array
                        (
                            [runtime-id] => urn:ac.highwire.org:guest:privilege
                            [type] => privilege-set
                            [privilege-set] => GUEST
                        )

                )

            [credentials] => Array
                (
                    [method] => guest
                )

        )

)
1naresh
Array
(
    [urn:ac.highwire.org:guest:identity] => Array
        (
            [runtime-id] => urn:ac.highwire.org:guest:identity
            [type] => guest
            [service-id] => ajnr-ac.highwire.org
            [access-type] => Controlled
            [privilege] => Array
                (
                    [urn:ac.highwire.org:guest:privilege] => Array
                        (
                            [runtime-id] => urn:ac.highwire.org:guest:privilege
                            [type] => privilege-set
                            [privilege-set] => GUEST
                        )

                )

            [credentials] => Array
                (
                    [method] => guest
                )

        )

)
1naresh
Array
(
    [urn:ac.highwire.org:guest:identity] => Array
        (
            [runtime-id] => urn:ac.highwire.org:guest:identity
            [type] => guest
            [service-id] => ajnr-ac.highwire.org
            [access-type] => FreeToRead
            [privilege] => Array
                (
                    [urn:ac.highwire.org:guest:privilege] => Array
                        (
                            [runtime-id] => urn:ac.highwire.org:guest:privilege
                            [type] => privilege-set
                            [privilege-set] => GUEST
                        )

                )

            [credentials] => Array
                (
                    [method] => guest
                )

        )

)


  
    



































































































    CT Cervical Spine Fracture Detection Using a Convolutional Neural Network | American Journal of Neuroradiology  
    



















    































    
  
  




    
    

  

      


    

      

  
  
  

    

  

    

  

                
    

      

  

    

  
      
  
  

    


Advertisement



  



  


  
  



  



    

  


  


  


  
  
  
  
  
  

  	      



          


    
      

    
  
    
        
    

  

    
                        

  

                
    

      

	  

		
		

			

			  

  
      
  
  

    

  
  
      
Research ArticleSpine

  
      

  
      
CT Cervical Spine Fracture Detection Using a Convolutional Neural Network
  
    	
J.E. Small, P. Osler, A.B. Paul and M. Kunst

  
    	
American Journal of Neuroradiology July 2021,  42 (7) 1341-1347; DOI: https://doi.org/10.3174/ajnr.A7094 

  
  
  



  


  
  



			

		

	
	
 	
	  
  

		
		

			

			  

  
      
  
  

    
  


  
  



  
      
  
  

    

  

    

  
      
  
  

    
References
  1. 1.↵
    1. Adams  M, 
    2. Chen  W, 
    3. Holcdorf  D, et al
    . Computer vs human: Deep learning versus perceptual training for the detection of neck of femur fractures. J Med Imaging Radiat Oncol 2019;63:27–32 doi:10.1111/1754-9485.12828 pmid:30407743
    CrossRefPubMed
  2. 2.
    1. Urakawa  T, 
    2. Tanaka  Y, 
    3. Goto  S, et al
    . Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network. Skeletal Radiol 2019;48:239–44 doi:10.1007/s00256-018-3016-3 pmid:29955910
    CrossRefPubMed
  3. 3.↵
    1. Cheng  CT, 
    2. Ho  TY, 
    3. Lee  TY, et al
    . Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs. Eur Radiol 2019;29:5469–77 doi:10.1007/s00330-019-06167-y pmid:30937588
    CrossRefPubMed
  4. 4.↵
    1. Chung  SW, 
    2. Han  SS, 
    3. Lee  JW, et al
    . Automated detection and classification of the proximal humerus fracture by using deep learning algorithm. Acta Orthop 2018;89:468–73 doi:10.1080/17453674.2018.1453714 pmid:29577791
    CrossRefPubMed
  5. 5.↵
    1. Gan  K, 
    2. Xu  D, 
    3. Lin  Y, et al
    . Artificial intelligence detection of distal radius fractures: a comparison between the convolutional neural network and professional assessments. Acta Orthop 2019;90:394–400 doi:10.1080/17453674.2019.1600125 pmid:30942136
    CrossRefPubMed
  6. 6.↵
    1. Kim  DH, 
    2. MacKinnon  T
    . Artificial intelligence in fracture detection: transfer learning from deep convolutional neural networks. Clin Radiol 2018;73:439–45 doi:10.1016/j.crad.2017.11.015 pmid:29269036
    CrossRefPubMed
  7. 7.↵
    1. Lindsey  R, 
    2. Daluiski  A, 
    3. Chopra  S, et al
    . Deep neural network improves fracture detection by clinicians. Proc Natl Acad Sci U S A 2018;115:11591–96 doi:10.1073/pnas.1806905115 pmid:30348771
    Abstract/FREE Full Text
  8. 8.↵
    1. Olczak  J, 
    2. Fahlberg  N, 
    3. Maki  A, et al
    . Artificial intelligence for analyzing orthopedic trauma radiographs. Acta Orthop 2017;88:581–86 doi:10.1080/17453674.2017.1344459 pmid:28681679
    CrossRefPubMed
  9. 9.↵
    1. Derkatch  S, 
    2. Kirby  C, 
    3. Kimelman  D, et al
    . Identification of vertebral fractures by convolutional neural networks to predict nonvertebral and hip fractures: a registry-based cohort study of dual x-ray absorptiometry. Radiology 2019;293:405–11 doi:10.1148/radiol.2019190201 pmid:31526255
    CrossRefPubMed
  10. 10.↵
    1. Pranata  YD, 
    2. Wang  KC, 
    3. Wang  JC, et al
    . Deep learning and SURF for automated classification and detection of calcaneus fractures in CT images. Comput Methods Programs Biomed 2019;171:27–37 doi:10.1016/j.cmpb.2019.02.006 pmid:30902248
    CrossRefPubMed
  11. 11.↵
    1. Burns  JE, 
    2. Yao  J, 
    3. Summers  RM
    . Vertebral body compression fractures and bone density: automated detection and classification on CT images. Radiology 2017;284:788–97 doi:10.1148/radiol.2017162100 pmid:28301777
    CrossRefPubMed
  12. 12.↵
    1. Tomita  N, 
    2. Cheung  YY, 
    3. Hassanpour  S
    . Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans. Comput Biol Med 2018;98:8–15 doi:10.1016/j.compbiomed.2018.05.011 pmid:29758455
    CrossRefPubMed
  13. 13.↵
    1. Muehlematter  UJ, 
    2. Mannil  M, 
    3. Becker  AS, et al
    . Vertebral body insufficiency fractures: detection of vertebrae at risk on standard CT images using texture analysis and machine learning. Eur Radiol 2019;29:2207–17 doi:10.1007/s00330-018-5846-8 pmid:30519934
    CrossRefPubMed
  14. 14.↵
    1. Milby  AH, 
    2. Halpern  CH, 
    3. Guo  W, et al
    . Prevalence of cervical spinal injury in trauma. Neurosurg Focus 2008;25:E10 doi:10.3171/FOC.2008.25.11.E10 pmid:18980470
    CrossRefPubMed
  15. 15.↵
    1. Minja  FJ, 
    2. Mehta  KY, 
    3. Mian  AY
    . Current challenges in the use of computed tomography and MR imaging in suspected cervical spine trauma. Neuroimaging Clin N Am 2018;28:483–93 doi:10.1016/j.nic.2018.03.009 pmid:30007757
    CrossRefPubMed
  16. 16.↵
    1. Inaba  K, 
    2. Byerly  S, 
    3. Bush  LD, et al
    . Cervical spinal clearance: a prospective Western Trauma Association multi-institutional trial. J Trauma Acute Care Surg 2016;81:1122–30 doi:10.1097/TA.0000000000001194 pmid:27438681
    CrossRefPubMed
  17. 17.↵
    1. Poonnoose  PM, 
    2. Ravichandran  G, 
    3. McClelland  MR
    . Missed and mismanaged injuries of the spinal cord. J Trauma 2002;53:314–20 doi:10.1097/00005373-200208000-00021 pmid:12169940
    CrossRefPubMedWeb of Science
  18. 18.↵
    1. Izzo  R, 
    2. Popolizio  T, 
    3. Balzano  RF, et al
    . Imaging of cervical spine traumas. Eur J Radiol 2019;117:75–88 doi:10.1016/j.ejrad.2019.05.007 pmid:31307656
    CrossRefPubMed
  19. 19.↵
    1. Khanpara  S, 
    2. Ruiz-Pardo  D, 
    3. Spence  SC, et al
    . Incidence of cervical spine fractures on CT: a study in a large level I trauma center. Emerg Radiol 2020;27:1–8 doi:10.1007/s10140-019-01717-9 pmid:31463806
    CrossRefPubMed
  20. 20.↵
    1. Alessandrino  F, 
    2. Bono  CM, 
    3. Potter  CA, et al
    . Spectrum of diagnostic errors in cervical spine trauma imaging and their clinical significance. Emerg Radiol 2019;26:409–16 doi:10.1007/s10140-019-01685-0 pmid:30929146
    CrossRefPubMed
  21. 21.↵
    1. Bernstein  MP, 
    2. Young  MG, 
    3. Baxter  AB
    . Imaging of spine trauma. Radiol Clin North Am 2019;57:767–85 doi:10.1016/j.rcl.2019.02.007 pmid:31076031
    CrossRefPubMed
  


  
  



  




  


  
  



  
      
  
  

    
  


  
  



  
      
  
  

     Back to top  


  
  



			

		

		
		

			

			  

  
        
In this issue

    
  
  

    
  


  
  



  
      
  
  

    

  

    

  
      
  
  

    


Advertisement



  



  


  
  



  



  


  
  



  
      
  
  

    

	  
  

		

          

            

  
      
  
  

     Print  


  
  



  
      
  
  

     Download PDF  


  
  



  
      
  
  

    
 Email Article
  


  
  



  
      
  
  

    
 Citation Tools
  


  
  



          

        

        
        

          

            



  
      
  
  

    

  

    

  
      
  
  

    

  
  
  
  
      
CT Cervical Spine Fracture Detection Using a Convolutional Neural Network
  
    	
J.E. Small, P. Osler, A.B. Paul, M. Kunst

  
    	
American Journal of Neuroradiology Jul 2021, 42 (7) 1341-1347; DOI: 10.3174/ajnr.A7094 

  
  
  



  


  
  



  
      
  
  

    

  
    
  
  
    
  
  
    
  


  


  
  



  
      
  
  

    
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  


  
  



  



  


  
  



  
      
  
  

    
  


  
  



          

        

	
 	
	
	


  


  
  



  
      
  
  

    
              Purchase  


  
  



  
        
Jump to section

    
  
  

    
  


  
  



  
      
  
  

    
  


  
  



			

		

	
	
 	
	
	


    

  



  

                
    

      

  

    

  
      
  
  

    


Advertisement