MRI atlas-based measurement of spinal cord injury predicts outcome in acute flaccid myelitis

American Journal of Neuroradiology

Volumn 38, Issue 2, 2017, Pages 410-417

  McCoy, D B ^a   Talbott, J F ^a   Wilson, Michael ^d   Mamlouk, M D ^a   Cohen Adad, J ^b,c   Wilson, Mark ^a   Narvid, J ^a  

^a SAN FRANCISCO GENERAL HOSPITAL   (United States)

^b ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

^c UNIVERSITÉ DE MONTRÉAL   (Canada)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE FLACCID MYELITIS; ADULT; ARTICLE; BRAIN SIZE; CHILD; CLINICAL ARTICLE; CLINICAL OUTCOME; DISABILITY; FEMALE; FIRST CERVICAL VERTEBRA; GRAY MATTER; HUMAN; MALE; MOTOR DYSFUNCTION; MYELITIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTION; PRESCHOOL CHILD; RETROSPECTIVE STUDY; SCHOOL CHILD; SPINAL CORD INJURY; WHITE MATTER; YOUNG ADULT; ANATOMY; BOOK; COMPLICATION; DIAGNOSTIC IMAGING; IMAGE PROCESSING; SPINAL CORD; TREATMENT OUTCOME;

ADULT; ANATOMY, CROSS-SECTIONAL; ATLASES AS TOPIC; CHILD; CHILD, PRESCHOOL; DISABILITY EVALUATION; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MYELITIS; SPINAL CORD; SPINAL CORD INJURIES; TREATMENT OUTCOME; YOUNG ADULT;

EID: 85013484217     PISSN: 01956108     EISSN: 1936959X     Source Type: Journal    
DOI: 10.3174/ajnr.A5044     Document Type: Article

References (29)

1. Pons-Salort M, Parker EP, Grassly NC. The epidemiology of nonpolio enteroviruses: recent advances and outstanding questions. Curr Opin Infect Dis 2015;28:479-87 CrossRef Medline
2. Greninger AL, Naccache SN, 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 CrossRef Medline
3. Messacar K, Schreiner TL, Maloney JA, et al.Acluster 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 CrossRef Medline
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 Medline
5. Maloney JA, Mirsky DM, 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 CrossRef Medline
6. Baruah D, Chandra T, Bajaj M, et al. A simplified algorithm for diagnosis of spinal cord lesions. Curr Probl Diagn Radiol 2015;44: 256-66 CrossRef Medline
7. Fonov VS, Le Troter A, Taso M, et al. Framework for integrated MRI average of the spinal cord white and gray matter: the MNIPoly-AMU template. Neuroimage 2014;102(Pt 2):817-27 CrossRef Medline
8. Cohen-Adad J, De Leener B, 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. Levy S, Benhamou M, Naaman C, et al. White matter atlas of the human spinal cord with estimation of partial volume effect. Neuroimage 2015;119:262-71 CrossRef Medline
10. Ullmann E, Pelletier Paquette JF, Thong WE, et al. Automatic labeling of vertebral levels using a robust template-based approach. Int J Biomed Imaging 2014;2014:719520 CrossRef Medline
11. Yiannakas MC, Mustafa AM, 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 CrossRef Medline
12. Martin AR, De Leener B, Aleksanderek I, et al. A prospective longitudinal study in degenerative cervical myelopathy using quantitative microstructuralMRIwith 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. Okuda DT, Mowry EM, Cree BA, et al. Asymptomatic spinal cord lesions predict disease progression in radiologically isolated syndrome. Neurology 2011;76:686-92 CrossRef Medline
14. Schlaeger R, Papinutto N, Zhu AH, et al. Association between thoracic spinal cord gray matter atrophy and disability in multiple sclerosis. JAMA Neurol 2015;72:897-904 CrossRef Medline
15. Kearney H, Miller DH, Ciccarelli O. Spinal cord MRI in multiple sclerosis-diagnostic, prognostic and clinical value. Nat Rev Neurol 2015;11:327-38 CrossRef Medline
16. Bede P, Bokde AL, Byrne S, et al. Spinal cord markers in ALS: diagnostic and biomarker considerations. Amyotroph Lateral Scler 2012; 13:407-15 CrossRef Medline
17. Mabray MC, Talbott JF, 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 CrossRef Medline
18. Talbott JF, Whetstone WD, 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 CrossRef Medline
19. Dyck PJ, Boes CJ, 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 CrossRef Medline
20. Jenkinson M, Beckmann CF, Behrens TE, et al. FSL. Neuroimage 2012;62:782-90 CrossRef Medline
21. De Leener B, Kadoury S, Cohen-Adad J. Robust, accurate and fast automatic segmentation of the spinal cord. Neuroimage 2014;98: 528-36 CrossRef Medline
22. Schneider CA, Rasband WS, Eliceiri KW. NIH Image to ImageJ: 25 years of image analysis. Nat Methods 2012;9:671-75 CrossRef Medline
23. Martin AR, Aleksanderek I, Cohen-Adad J, et al. Translating stateof-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 CrossRef Medline
24. Evans AC, Janke AL, Collins DL, et al. Brain templates and atlases. Neuroimage 2012;62:911-22 CrossRef Medline
25. Tihan T. Pathologic approach to spinal cord infections. Neuroimaging Clin N Am 2015;25:163-72 CrossRef Medline
26. Jubelt B, Lipton HL. Enterovirus/picornavirus infections. Handb Clin Neurol 2014;123:379-416 CrossRef Medline
27. You JY, Lee JW, Lee E, et al. MR classification system based on axial images for cervical compressive myelopathy. Radiology 2015;276: 553-61 CrossRef Medline
28. Hendrix P, Griessenauer CJ, Cohen-Adad J, et al. Spinal diffusion tensor imaging: a comprehensive review with emphasisonspinal cord anatomy and clinical applications. Clinical Anat 2015;28:88-95 CrossRef Medline
29. De Leener B, Taso M, 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