Recovery after spinal cord relapse in multiple sclerosis is predicted by radial diffusivity

Multiple Sclerosis

Volumn 16, Issue 10, 2010, Pages 1193-1202

  Freund, Patrick ^a   Wheeler Kingshott, Claudia ^a   Jackson, Jonathan ^a   Miller, David ^a   Thompson, Alan ^a   Ciccarelli, Olga ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Disability; multiple sclerosis; recovery; repair; spinal cord

Indexed keywords

ADULT; ARTICLE; CERVICAL SPINAL CORD; CLINICAL ARTICLE; CONTROLLED STUDY; CONVALESCENCE; DIFFUSION TENSOR IMAGING; EXERCISE TEST; EXPANDED DISABILITY STATUS SCALE; FEMALE; FOLLOW UP; HUMAN; MALE; MULTIPLE SCLEROSIS; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; RELAPSE; REMYELINIZATION; SPINAL CORD DISEASE;

ADULT; ANISOTROPY; COHORT STUDIES; DIFFUSION MAGNETIC RESONANCE IMAGING; DISABILITY EVALUATION; ECHO-PLANAR IMAGING; FEMALE; FOLLOW-UP STUDIES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LONGITUDINAL STUDIES; MAGNETIC RESONANCE IMAGING; MALE; MULTIPLE SCLEROSIS; PREDICTIVE VALUE OF TESTS; PYRAMIDAL TRACTS; RECURRENCE; SPINAL CORD; WALKING;

EID: 77957583285     PISSN: 13524585     EISSN: None     Source Type: Journal    
DOI: 10.1177/1352458510376180     Document Type: Article

References (37)

1. Compston A. and Coles A. Multiple sclerosis. Lancet 2002 ; 359: 1221-1231.
2. Basser PJ and Pierpaoli C. Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. J Magn Reson B 1996 ; 111: 209-219.
3. Ou X., Sun SW, Liang HF, Song SK and Gochberg DF. The MT pool size ratio and the DTI radial diffusivity may reflect the myelination in shiverer and control mice. NMR Biomed 2009 ; 22: 480-487.
4. Song SK, Sun SW, Ramsbottom MJ, Chang C., Russell J. and Cross AH Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water. Neuroimage 2002 ; 17: 1429-1436.
5. Song SK, Yoshino J., Le TQ, et al. Demyelination increases radial diffusivity in corpus callosum of mouse brain. Neuroimage 2005 ; 26: 132-140.
6. Zhang J., Jones M., DeBoy CA, et al. Diffusion tensor magnetic resonance imaging of Wallerian degeneration in rat spinal cord after dorsal root axotomy. J Neurosci 2009 ; 29: 3160-3171.
7. Le Bihan D., Mangin JF, Poupon C., et al. Diffusion tensor imaging: concepts and applications. J Magn Reson Imaging 2001 ; 13: 534-546.
8. Kim JH, Budde MD, Liang HF, et al. Detecting axon damage in spinal cord from a mouse model of multiple sclerosis. Neurobiol Dis 2006 ; 21: 626-632.
9. Budde MD, Xie M., Cross AH and Song SK Axial diffusivity is the primary correlate of axonal injury in the experimental autoimmune encephalomyelitis spinal cord: a quantitative pixelwise analysis. J Neurosci 2009 ; 29: 2805-2813.
10. Ciccarelli O., Wheeler-Kingshott CA, McLean MA, et al. Spinal cord spectroscopy and diffusion-based tractography to assess acute disability in multiple sclerosis. Brain 2007 ; 130: 2220-2231.
11. Naismith RT, Xu J., Tutlam NT, et al. Disability in optic neuritis correlates with diffusion tensor-derived directional diffusivities. Neurology 2009 ; 72: 589-594.
12. McDonald WI, Compston A., Edan G., et al. Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis. Ann Neurol 2001 ; 50: 121-127.
13. Kurtzke JF Rating neurologic impairment in multiple sclerosis: an Expanded Disability Status Scale (EDSS). Neurology 1983 ; 33: 1444-1452.
14. Goodkin DE, Hertsgaard D. and Seminary J. Upper extremity function in multiple sclerosis: improving assessment sensitivity with box-and-block and nine-hole peg tests. Arch Phys Med Rehabil 1988 ; 69: 850-854.
15. Cutter GR, Baier ML, Rudick RA, et al. Development of a multiple sclerosis functional composite as a clinical trial outcome measure. Brain 1999 ; 122: 871-882.
16. Hobart JC, Riazi A., Lamping DL, Fitzpatrick R. and Thompson AJ Measuring the impact of MS on walking ability: the 12-Item MS Walking Scale (MSWS-12). Neurology 2003 ; 60: 31-36.
17. Fischer JS, Jak AJ, Kniker JE, Rudick RA and Cutter G. Administration and scoring manual for the multiple sclerosis functional composite meaure (MSFC). New York: Demos, 1999.
18. Dowell NG, Jenkins TM, Ciccarelli O., Miller DH and Wheeler-Kingshott CA Contiguous-slice zonally oblique multislice (CO-ZOOM) diffusion tensor imaging: examples of in vivo spinal cord and optic nerve applications. J Magn Reson Imaging 2009 ; 29: 454-460.
19. Cook PA, Boulby PA, Symms MR and Alexander DC Optimal acquisition order of diffusion-weighted measurements on a sphere. Proc Int Soc Mag Reson Med 2005 ; 13: 1303, Abstract.
20. Losseff NA, Webb SL, O'Riordan JI, et al. Spinal cord atrophy and disability in multiple sclerosis. A new reproducible and sensitive MRI method with potential to monitor disease progression. Brain 1996 ; 119: 701-708.
21. Parker GJ, Schnabel JA, Symms MR, Werring DJ and Barker GJ Nonlinear smoothing for reduction of systematic and random errors in diffusion tensor imaging. J Magn Reson Imaging 2000 ; 11: 702-710.
22. Chang LC, Jones DK and Pierpaoli C. RESTORE: robust estimation of tensors by outlier rejection. Magn Reson Med 2005 ; 53: 1088-1095.
23. Cook PA, Bai Y., Nedjati-Gilani S., et al. Camino: Open-Cource Diffusion-MRI Reconstruction and Processing. Proc Int Soc Mag Reson Med 2006 ; 14: 2759, Abstract.
24. Ciccarelli O., Altmann DR, McLean MA, et al. Spinal cord repair in MS: Does mitochondrial metabolism play a role? Neurology 2010 ; 74: 721-727.
25. Sun SW, Liang HF, Trinkaus K., Cross AH, Armstrong RC and Song SK Noninvasive detection of cuprizone induced axonal damage and demyelination in the mouse corpus callosum 2. Magn Reson Med 2006 ; 55: 302-308.
26. Kozlowski P., Raj D., Liu J., Lam C., Yung AC and Tetzlaff W. Characterizing white matter damage in rat spinal cord with quantitative MRI and histology. J Neurotrauma 2008 ; 25: 653-676.
27. Feng S., Hong Y., Zhou Z., et al. Monitoring of acute axonal injury in the swine spinal cord with EAE by diffusion tensor imaging. J Magn Reson Imaging 2009 ; 30: 277-285.
28. DeBoy CA, Zhang J., Dike S., et al. High resolution diffusion tensor imaging of axonal damage in focal inflammatory and demyelinating lesions in rat spinal cord. Brain 2007 ; 130: 2199-2210.
29. Miller DH, Barkhof F., Frank JA, Parker GJ and Thompson AJ Measurement of atrophy in multiple sclerosis: pathological basis, methodological aspects and clinical relevance. Brain 2002 ; 125: 1676-1695.
30. Franklin RJ and Ffrench-Constant C. Remyelination in the CNS: from biology to therapy. Nat Rev Neurosci 2008 ; 9: 839-855.
31. Cader S., Johansen-Berg H., Wylezinska M., et al. Discordant white matter N-acetylasparate and diffusion MRI measures suggest that chronic metabolic dysfunction contributes to axonal pathology in multiple sclerosis. Neuroimage 2007 ; 36: 19-27.
32. Wheeler-Kingshott CA and Cercignani M. About ĝ€?ĝ€? axial and ĝ€?ĝ€?radial diffusivities. Magn Reson Med 2009 ; 61: 1255-1260.
33. Ciccarelli O., Catani M., Johansen-Berg H., Clark C. and Thompson A. Diffusion-based tractography in neurological disorders: concepts, applications, and future developments. Lancet Neurol 2008 ; 7: 715-727.
34. Wahl M., Li YO, Ng J., et al. Microstructural correlations of white matter tracts in the human brain. Neuroimage 2010 ; 51: 531-541.
35. DeLuca GC, Ebers GC and Esiri MM Axonal loss in multiple sclerosis: a pathological survey of the corticospinal and sensory tracts. Brain 2004 ; 127: 1009-1018.
36. Roosendaal SD, Geurts JJ, Vrenken H., et al. Regional DTI differences in multiple sclerosis patients. Neuroimage 2009 ; 44: 1397-1403.
37. Chang LC, Koay CG, Pierpaoli C. and Basser PJ Variance of estimated DTI-derived parameters via first-order perturbation methods. Magn Reson Med 2007 ; 57: 141-149.