Assessing the state of chronic spinal cord injury using diffusion tensor imaging

Journal of Neurotrauma

Volumn 30, Issue 18, 2013, Pages 1587-1595

  Koskinen, Eerika ^a   Brander, Antti ^b   Hakulinen, Ullamari ^b,c   Luoto, Teemu ^a   Helminen, Mika ^c   Ylinen, Aarne ^d,e   Öhman, Juha ^a,c  

^a TAMPERE UNIVERSITY HOSPITAL   (Finland)

^b PIRKANMAA HOSPITAL DISTRICT   (Finland)

^c TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^d UNIVERSITY OF HELSINKI   (Finland)

^e HELSINKI UNIVERSITY CENTRAL HOSPITAL   (Finland)

Author keywords

assessment tools; DTI; traumatic SCI

Indexed keywords

ADULT; ARTICLE; CERVICAL SPINAL CORD; CERVICAL SPINAL CORD INJURY; CLINICAL ASSESSMENT; CONTROLLED STUDY; DIFFUSION COEFFICIENT; DIFFUSION TENSOR IMAGING; DISEASE CLASSIFICATION; FEMALE; FRACTIONAL ANISOTROPY; FUNCTIONAL INDEPENDENCE MEASURE; HUMAN; MAJOR CLINICAL STUDY; MALE; NERVE DEGENERATION; NEUROIMAGING; NEUROPATHOLOGY; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; WHITE MATTER;

ADOLESCENT; ADULT; ANISOTROPY; CASE-CONTROL STUDIES; CHRONIC DISEASE; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NEUROLOGIC EXAMINATION; NEUROSURGICAL PROCEDURES; RETROSPECTIVE STUDIES; SPINAL CORD; SPINAL CORD INJURIES; TREATMENT OUTCOME; WOUNDS AND INJURIES; YOUNG ADULT;

EID: 84883644245     PISSN: 08977151     EISSN: 15579042     Source Type: Journal    
DOI: 10.1089/neu.2013.2943     Document Type: Article

References (39)

1. Kannus, P., Niemi, S., Palvanen, M., and Parkkari, J. (2000). Continuously increasing number and incidence of fall-induced, fractureassociated, spinal cord injuries in elderly persons. Arch. Intern. Med. 160, 2145-2149. (Pubitemid 30482721)
2. Pickett, G.E., Campos-Benitez, M., Keller, J.L., and Duggal, N. (2006). Epidemiology of traumatic spinal cord injury in Canada. Spine (Phila Pa 1976) 31, 799-805.
3. Waring, W.P.,3rd, Biering-Sorensen, F., Burns, S., Donovan, W., Graves, D., Jha, A., Jones, L., Kirshblum, S., Marino, R., Mulcahey, M.J., Reeves, R., Scelza, W.M., Schmidt-Read, M., and Stein, A. (2010). 2009 Review and Revisions of the International Standards for the Neurological Classification of Spinal Cord Injury. J. Spinal Cord Med. 33, 346-352.
4. Maynard, F.M., Jr, Bracken, M.B., Creasey, G., Ditunno, J.F., Jr, Donovan, W.H., Ducker, T.B., Garber, S.L., Marino, R.J., Stover, S.L., Tator, C.H., Waters, R.L., Wilberger, J.E., and Young, W. (1997). International Standards for Neurological and Functional Classification of Spinal Cord Injury. American Spinal Injury Association. Spinal Cord 35, 266-274. (Pubitemid 27235039)
5. Hall, K.M., Cohen, M.E., Wright, J., Call, M., and Werner, P. (1999). Characteristics of the Functional Independence Measure in traumatic spinal cord injury. Arch. Phys. Med. Rehabil. 80, 1471-1476. (Pubitemid 29526646)
6. Marciello, M.A., Flanders, A.E., Herbison, G.J., Schaefer, D.M., Friedman, D.P., and Lane, J.I. (1993). Magnetic resonance imaging related to neurologic outcome in cervical spinal cord injury. Arch. Phys. Med. Rehabil. 74, 940-946. (Pubitemid 23275103)
7. Flanders, A.E., Spettell, C.M., Tartaglino, L.M., Friedman, D.P., and Herbison, G.J. (1996). Forecasting motor recovery after cervical spinal cord injury: value of MR imaging. Radiology 201, 649-655.
8. Selden, N.R., Quint, D.J., Patel, N., d'Arcy, H.S., and Papadopoulos, S.M. (1999). Emergency magnetic resonance imaging of cervical spinal cord injuries: clinical correlation and prognosis. Neurosurgery 44, 785-793. (Pubitemid 29153572)
9. Miyanji, F., Furlan, J.C., Aarabi, B., Arnold, P.M., and Fehlings, M.G. (2007). Acute cervical traumatic spinal cord injury: MR imaging findings correlated with neurologic outcome-prospective study with 100 consecutive patients. Radiology 243, 820-827. (Pubitemid 46799437)
10. Mulcahey, M.J., Gaughan, J., Betz, R.R., and Johansen, K.J. (2007). The International Standards for Neurological Classification of SpinalCord Injury: reliability of data when applied to children and youths. Spinal Cord 45, 452-459. (Pubitemid 46878141)
11. Mulcahey, M.J., Gaughan, J., Betz, R.R., and Vogel, L.C. (2007). Rater agreement on the ISCSCI motor and sensory scores obtained before and after formal training in testing technique. J. Spinal Cord Med. 30 Suppl 1, S146-149. (Pubitemid 47320264)
12. Beaulieu, C. (2002). The basis of anisotropic water diffusion in the nervous system - a technical review. NMR Biomed. 15, 435-455. (Pubitemid 36054508)
13. Basser, P.J. (1995). Inferring microstructural features and the physiological state of tissues from diffusion-weighted images. NMR Biomed. 8, 333-344.
14. Basser, P.J., and Pierpaoli, C. (1996). Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. J. Magn. Reson. B 111, 209-219. (Pubitemid 126758682)
15. Budzik, J.F., Balbi, V., Le Thuc, V., Duhamel, A., Assaker, R., and Cotten, A. (2011). Diffusion tensor imaging and fibre tracking in cervical spondylotic myelopathy. Eur. Radiol. 21, 426-433.
16. Jones, J.G., Cen, S.Y., Lebel, R.M., Hsieh, P.C., and Law, M. (2013). Diffusion tensor imaging correlates with the clinical assessment of disease severity in cervical spondylotic myelopathy and predicts outcome following surgery. AJNR Am. J. Neuroradiol. 34, 471-478.
17. Oh, J., Zackowski, K., Chen, M., Newsome, S., Saidha, S., Smith, S.A., Diener-West, M., Prince, J., Jones, C.K., Van Zijl, P.C., Calabresi, P.A., and Reich, D.S. (2013). Multiparametric MRI correlates of sensorimotor function in the spinal cord in multiple sclerosis. Mult. Scler. 19, 427-435.
18. Petersen, J.A., Wilm, B.J., von Meyenburg, J., Schubert, M., Seifert, B., Najafi, Y., Dietz, V., and Kollias, S. (2012). Chronic cervical spinal cord injury: DTI correlates with clinical and electrophysiological measures. J. Neurotrauma 29, 1556-1566.
19. Chang, Y., Jung, T.D., Yoo, D.S., and Hyun, J.K. (2010). Diffusion tensor imaging and fiber tractography of patients with cervical spinal cord injury. J. Neurotrauma 27, 2033-2040.
20. Cheran, S., Shanmuganathan, K., Zhuo, J., Mirvis, S.E., Aarabi, B., Alexander, M.T., and Gullapalli, R.P. (2011). Correlation of MR diffusion tensor imaging parameters with ASIA motor scores in hemorrhagic and nonhemorrhagic acute spinal cord injury. J. Neurotrauma 28, 1881-1892.
21. Cohen-Adad, J., El Mendili, M.M., Lehericy, S., Pradat, P.F., Blancho, S., Rossignol, S., and Benali, H. (2011). Demyelination and degeneration in the injured human spinal cord detected with diffusion and magnetization transfer MRI. Neuroimage 55, 1024-1033.
22. DeVivo, M., Biering-Sorensen, F., Charlifue, S., Noonan, V., Post, M., Stripling, T., Wing, P., and Executive Committee for the International SCI Data Sets Committees (2006). International Spinal Cord Injury Core Data Set. Spinal Cord 44, 535-540.
23. Ashley, J. (1990). The International Classification of Diseases: the structure and content of the Tenth Revision. Health Trends 22, 135-137.
24. Widerstrom-Noga, E., Biering-Sorensen, F., Bryce, T., Cardenas, D.D., Finnerup, N. B., Jensen, M.P., Richards, J.S., and Siddall, P.J. (2008). The international spinal cord injury pain basic data set. Spinal Cord 46, 818-823.
25. Ellingson, B.M., Ulmer, J.L., Kurpad, S.N., and Schmit, B.D. (2008). Diffusion tensor MR imaging in chronic spinal cord injury. AJNR Am. J. Neuroradiol. 29, 1976-1982.
26. Beirowski, B., Adalbert, R., Wagner, D., Grumme, D.S., Addicks, K., Ribchester, R.R., and Coleman, M.P. (2005). The progressive nature of Wallerian degeneration in wild-type and slow Wallerian degeneration (WldS) nerves. BMC Neurosci. 6, 6.
27. Pierpaoli, C., Barnett, A., Pajevic, S., Chen, R., Penix, L.R., Virta, A., and Basser, P. (2001). Water diffusion changes in Wallerian degeneration and their dependence on white matter architecture. Neuroimage 13, 1174-1185. (Pubitemid 32553548)
28. Mulcahey, M.J., Samdani, A., Gaughan, J., Barakat, N., Faro, S., Betz, R.R., Finsterbusch, J., and Mohamed, F.B. (2012). Diffusion tensor imaging in pediatric spinal cord injury: preliminary examination of reliability and clinical correlation. Spine (Phila Pa 1976) 37, E797- 803.
29. Boldin, C., Raith, J., Fankhauser, F., Haunschmid, C., Schwantzer, G., and Schweighofer, F. (2006). Predicting neurologic recovery in cervical spinal cord injury with postoperative MR imaging. Spine (Phila Pa 1976) 31, 554-559.
30. Flanders, A.E., Spettell, C.M., Friedman, D.P., Marino, R.J., and Herbison, G.J. (1999). The relationship between the functional abilities of patients with cervical spinal cord injury and the severity of damage revealed by MR imaging. AJNR Am. J. Neuroradiol. 20, 926- 934. (Pubitemid 29536273)
31. Mamata, H., Jolesz, F.A., and Maier, S.E. (2005). Apparent diffusion coefficient and fractional anisotropy in spinal cord: age and cervical spondylosis-related changes. J. Magn. Reson. Imaging 22, 38-43. (Pubitemid 40885126)
32. Hesseltine, S.M., Law, M., Babb, J., Rad, M., Lopez, S., Ge, Y., Johnson, G., and Grossman, R.I. (2006). Diffusion tensor imaging in multiple sclerosis: assessment of regional differences in the axial plane within normal-appearing cervical spinal cord. AJNR Am. J. Neuroradiol. 27, 1189-1193. (Pubitemid 44897623)
33. Cui, J.L., Wen, C.Y., Hu, Y., Li, T.H., and Luk, K.D. (2011). Entropybased analysis for diffusion anisotropy mapping of healthy and myelopathic spinal cord. Neuroimage 54, 2125-2131.
34. Thurnher, M.M., and Bammer, R. (2006). Diffusion-weighted magnetic resonance imaging of the spine and spinal cord. Semin. Roentgenol. 41, 294-311. (Pubitemid 44436331)
35. Cooke, F.J., Blamire, A.M., Manners, D.N., Styles, P., and Rajagopalan, B. (2004). Quantitative proton magnetic resonance spectroscopy of the cervical spinal cord. Magn. Reson. Med. 51, 1122-1128. (Pubitemid 38796996)
36. Shanmuganathan, K., Gullapalli, R.P., Zhuo, J., and Mirvis, S.E. (2008). Diffusion tensor MR imaging in cervical spine trauma. AJNR Am. J. Neuroradiol. 29, 655-659. (Pubitemid 351571541)
37. Cheran, S., Shanmuganathan, K., Zhuo, J., Mirvis, S.E., Aarabi, B.,lexander, M.T., and Gullapalli, R.P. (2011). Correlation of MR diffusion tensor imaging parameters with ASIA motor scores in hemorrhagic and nonhemorrhagic acute spinal cord injury. J. Neurotrauma 28, 1881-1892.
38. Loy, D.N., Kim, J.H., Xie, M., Schmidt, R.E., Trinkaus, K., and Song, S.K. (2007). Diffusion tensor imaging predicts hyperacute spinal cord injury severity. J. Neurotrauma 24, 979-990. (Pubitemid 47015432)
39. Kim, J.H., Loy, D.N., Wang, Q., Budde, M.D., Schmidt, R.E., Trinkaus, K., and Song, S. K. (2010). Diffusion tensor imaging at 3 hours after traumatic spinal cord injury predicts long-term locomotor recovery. J. Neurotrauma 27, 587-598.