Diffusion tensor imaging of post mortem multiple sclerosis brain

NeuroImage

Volumn 35, Issue 2, 2007, Pages 467-477

  Schmierer, Klaus ^a   Wheeler Kingshott, Claudia A M ^a   Boulby, Phil A ^a   Scaravilli, Francesco ^a   Altmann, Daniel R ^b   Barker, Gareth J ^c   Tofts, Paul S ^a   Miller, David H ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

^c KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ANISOTROPY; ARTICLE; BRAIN SLICE; CADAVER; CLINICAL ARTICLE; CONTROLLED STUDY; CORRELATION FUNCTION; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DIFFUSION TENSOR IMAGING; DIFFUSION WEIGHTED IMAGING; FEMALE; GLIOSIS; HUMAN; HUMAN TISSUE; IN VIVO STUDY; MALE; MULTIPLE SCLEROSIS; MYELIN SHEATH; PRIORITY JOURNAL; STATISTICAL SIGNIFICANCE; WHITE MATTER;

ADULT; AGED; AGED, 80 AND OVER; BRAIN; CADAVER; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; HUMANS; MALE; MIDDLE AGED; MULTIPLE SCLEROSIS; RETROSPECTIVE STUDIES;

EID: 33947113428     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2006.12.010     Document Type: Article

References (68)

1. Baltagi H. Econometric Analysis of Panel Data (1995), John Wiley and Sons, New York
2. Bammer R., Skare S., Newbould R., Liu C., Thijs V., Ropele S., Clayton D.B., Krueger G., Moseley M.E., and Glover G.H. Foundations of advanced magnetic resonance imaging. NeuroRx 2 (2005) 167-196
3. Barkhof F., Brück W., de Groot C.J., Bergers E., Hülshof S., Geurts J.J.G., Polman C.H., and van der Valk P. Remyelinated lesions in multiple sclerosis: magnetic resonance image appearance. Arch. Neurol. 60 (2003) 1073-1081
4. Barnes D., Munro P.M., Youl B.D., Prineas J.W., and McDonald W.I. The longstanding MS lesion. A quantitative MRI and electron microscopic study. Brain 114 (1991) 1271-1280
5. Basser P.J., Mattiello J., and LeBihan D. Estimation of the effective self-diffusion tensor from the NMR spin echo. J. Magn. Reson., Ser. B 103 (1994) 247-254
6. 2 MRI lesions. Neurology 59 (2002) 1766-1771
7. Bö L., Geurts J.J.G., Ravid R., and Barkhof F. Magnetic resonance imaging as a tool to examine the neuropathology of multiple sclerosis. Neuropathol. Appl. Neurobiol. 30 (2004) 106-117
8. Brex P.A., Ciccarelli O., O'Riordan J.I., Sailer M., Thompson A.J., and Miller D.H. A longitudinal study of abnormalities on MRI and disability from multiple sclerosis. N. Engl. J. Med. 346 (2002) 158-164
9. Broom K.A., Anthony D.C., Blamire A.M., Waters S., Styles P., Perry V.H., and Sibson N.R. MRI reveals that early changes in cerebral blood volume precede blood-brain barrier breakdown and overt pathology in MS-like lesions in rat brain. J. Cereb. Blood Flow Metab. 25 (2005) 204-216
10. Brück W., Bitsch A., Kolenda H., Brück Y., Stiefel M., and Lassmann H. Inflammatory central nervous system demyelination: correlation of magnetic resonance imaging findings with lesion pathology. Ann. Neurol. 42 (1997) 783-793
11. Brück W., Kuhlmann T., and Stadelmann C. Remyelination in multiple sclerosis. J. Neurol. Sci. 206 (2003) 181-185
12. Carpenter J.R., and Bithall J.F. Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians. Stat. Med. 19 (2000) 1141-1164
13. Ciccarelli O., Behrens T.E., Altmann D.R., Orrell R.W., Howard R.S., Johansen-Berg H., Miller D.H., Matthews P.M., and Thompson A.J. Probabilistic diffusion tractography: a potential tool to assess the rate of disease progression in amyotrophic lateral sclerosis. Brain 129 (2006) 1859-1871
14. Filippi M., Rocca M.A., and Comi G. The use of quantitative magnetic-resonance-based techniques to monitor the evolution of multiple sclerosis. Lancet Neurol. 2 (2003) 337-346
15. Fox R., Holtman R., Lee J.C., Tkach J., Phillips M., and Fisher E. Diffusion tensor measurements in post-mortem brain [abstract]. Mult. Scler. 11 Suppl. 1 (2005) 139-140
16. Gass A., Niendorf T., and Hirsch J.G. Acute and chronic changes of the apparent diffusion coefficient in neurological disorders-Biophysical mechanisms and possible underlying histopathology. J. Neurol. Sci. 186 Suppl. 1 (2001) S15-S23
17. Ge Y., Law M., and Grossman R.I. Applications of diffusion tensor MR imaging in multiple sclerosis. Ann. N. Y. Acad. Sci. 1064 (2005) 202-219
18. Gentleman S.M., McKenzie J.E., Royston M.C., McIntosh T.K., and Graham D.I. A comparison of manual and semi-automated methods in the assessment of axonal injury. Neuropathol. Appl. Neurobiol. 25 (1999) 41-47
19. Geurts J.J.G., Pouwels P.J., Uitdehaag B.M., Polman C.H., Barkhof F., and Castelijns J.A. Intracortical lesions in multiple sclerosis: improved detection with 3D double inversion-recovery MR imaging. Radiology 236 (2005) 254-260
20. Hart B.A., Bauer J., Muller H.J., Melchers B., Nicolay K., Brok H., Bontrop R.E., Lassmann H., and Massacesi L. Histopathological characterization of magnetic resonance imaging-detectable brain white matter lesions in a primate model of multiple sclerosis: a correlative study in the experimental autoimmune encephalomyelitis model in common marmosets (Callithrix jacchus). Am. J. Pathol. 153 (1998) 649-663
21. Hawkins C.P., Munro P.M., Mackenzie F., Kesselring J., Tofts P.S., Du Boulay E.P., Landon D.N., and McDonald W.I. Duration and selectivity of blood-brain barrier breakdown in chronic relapsing experimental allergic encephalomyelitis studied by gadolinium-DTPA and protein markers. Brain 113 (1990) 365-378
22. Hesseltine S.M., Law M., Babb J., Rad M., Lopez S., Ge Y., Johnson G., and Grossman R.I. Diffusion tensor imaging in multiple sclerosis: assessment of regional differences in the axial plane within normal-appearing cervical spinal cord. Am. J. Neuroradiol. 27 (2006) 1189-1193
23. Horsfield M.A., and Jones D.K. Applications of diffusion-weighted and diffusion tensor MRI to white matter diseases-A review. NMR Biomed. 15 (2002) 570-577
24. Huber P.J. The behavior of maximum likelihood estimates under non-standard conditions. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability. 1st ed. (1967), University of California Press, Berkeley, CA 221-233
25. Jones D.K., Horsfield M.A., and Simmons A. Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging. Magn. Reson. Med. 42 (1999) 515-525
26. Kappos L., Moeri D., Radue E.W., Schoetzau A., Schweikert K., Barkhof F., Miller D., Guttmann C.R., Weiner H.L., Gasperini C., and Filippi M. Predictive value of gadolinium-enhanced magnetic resonance imaging for relapse rate and changes in disability or impairment in multiple sclerosis: a meta-analysis. Gadolinium MRI Meta-analysis Group. Lancet 353 (1999) 964-969
27. Katz D., Taubenberger J.K., Cannella B., McFarlin D.E., Raine C.S., and McFarland H.F. Correlation between magnetic resonance imaging findings and lesion development in chronic, active multiple sclerosis. Ann. Neurol. 34 (1993) 661-669
28. Kim J.H., Budde M.D., Liang H.F., Klein R.S., Russell J.H., Cross A.H., and Song S.K. Detecting axon damage in spinal cord from a mouse model of multiple sclerosis. Neurobiol. Dis. 21 (2006) 626-632
29. Kurtzke J.F. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 33 (1983) 1444-1452
30. Larsson H.B., Thomsen C., Frederiksen J., Stubgaard M., and Henriksen O. In vivo magnetic resonance diffusion measurement in the brain of patients with multiple sclerosis. Magn. Reson. Imaging 10 (1992) 7-12
31. Le B.D., Turner R., Douek P., and Patronas N. Diffusion MR imaging: clinical applications. Am. J. Roentgenol. 159 (1992) 591-599
32. Le Bihan D., Mangin J.F., Poupon C., Clark C.A., Pappata S., Molko N., and Chabriat H. Diffusion tensor imaging: concepts and applications. J. Magn. Reson. Imaging 13 (2001) 534-546
33. Lee V.M., Burdett N.G., Carpenter T.A., Herrod N.J., James M.F., and Hall L.D. Magnetic resonance imaging of the common marmoset head. ATLA 26 (1998) 343-356
34. Lin X., Tench C.R., Morgan P.S., Niepel G., and Constantinescu C.S. 'Importance sampling' in MS: use of diffusion tensor tractography to quantify pathology related to specific impairment. J. Neurol. Sci. 237 (2005) 13-19
35. Lublin F.D., and Reingold S.C. Defining the clinical course of multiple sclerosis: results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis. Neurology 46 (1996) 907-911
36. McDonald W.I., Compston A., Edan G., Goodkin D., Hartung H.P., Lublin F.D., McFarland H.F., Paty D.W., Polman C.H., Reingold S.C., Sandberg-Wollheim M., Sibley W., Thompson A., van den Noort S., Weinshenker B.Y., and Wolinsky J.S. Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the Diagnosis of Multiple Sclerosis. Ann. Neurol. 50 (2001) 121-127
37. Mize R.R., Holdefer R.N., and Nabors L.B. Quantitative immunocytochemistry using an image analyzer: I. Hardware evaluation, image processing, and data analysis. J. Neurosci. Methods 26 (1988) 1-23
38. Moore G.RW. MRI-clinical correlations: more than inflammation alone-what can MRI contribute to improve the understanding of pathological processes in MS?. J. Neurol. Sci. 206 (2003) 175-179
39. 2 component in formalin-fixed multiple sclerosis brain. Neurology 55 (2000) 1506-1510
40. Moseley M.E., Sevick R., Wendland M.F., White D.L., Mintorovitch J., Asgari H.S., and Kucharczyk J. Ultrafast magnetic resonance imaging: diffusion and perfusion. Can. Assoc. Radiol. J. 42 (1991) 31-38
41. Mottershead J.P., Schmierer K., Clemence M., Thornton J.S., Scaravilli F., Barker G.J., Tofts P.S., Newcombe J., Cuzner M.L., Ordidge R.J., McDonald W.I., and Miller D.H. High field MRI correlates of myelin content and axonal density in multiple sclerosis-A post-mortem study of the spinal cord. J. Neurol. 250 (2003) 1293-1301
42. Newcombe J., Hawkins C.P., Henderson C.L., Patel H.A., Woodroofe M.N., Hayes G.M., Cuzner M.L., MacManus D., du Boulay E.P., and McDonald W.I. Histopathology of multiple sclerosis lesions detected by magnetic resonance imaging in unfixed postmortem central nervous system tissue. Brain 114 (1991) 1013-1023
43. Plummer D.L. Dispimage: a display and analysis tool for medical images. Rev. Neuroradiol. 5 (1992) 489-495
44. Polman C.H., Reingold S.C., Edan G., Filippi M., Hartung H.P., Kappos L., Lublin F.D., Metz L.M., McFarland H.F., O'Connor P.W., Sandberg-Wollheim M., Thompson A.J., Weinshenker B.G., and Wolinsky J.S. Diagnostic criteria for multiple sclerosis: 2005 revisions to the "McDonald Criteria". Ann. Neurol. 58 (2005) 840-846
45. Prineas J.W., McDonald W.I., and Franklin R.J.M. Demyelinating diseases. In: Graham D.I., and Lantos P.C. (Eds). Greenfield's Neuropathology. 7th ed. (2002), Arnold, London 471-550
46. Richards T.L., Alvord Jr. E.C., He Y., Petersen K., Peterson J., Cosgrove S., Heide A.C., Marro K., and Rose L.M. Experimental allergic encephalomyelitis in non-human primates: diffusion imaging of acute and chronic brain lesions. Mult. Scler. 1 (1995) 109-117
47. Rovaris M., Gass A., Bammer R., Hickman S.J., Ciccarelli O., Miller D.H., and Filippi M. Diffusion MRI in multiple sclerosis. Neurology 65 (2005) 1526-1532
48. Roychowdhury S., Maldjian J.A., and Grossman R.I. Multiple sclerosis: comparison of trace apparent diffusion coefficients with MR enhancement pattern of lesions. Am. J. Neuroradiol. 21 (2000) 869-874
49. Schmierer K., Scaravilli F., Barker G.J., MacManus D.G., and Miller D.H. Stereotactic co-registration of magnetic resonance imaging and histopathology in post-mortem multiple sclerosis brain. Neuropathol. Appl. Neurobiol. 29 (2003) 596-601
50. Schmierer K., Scaravilli F., Altmann D.R., Barker G.J., and Miller D.H. Magnetization transfer ratio and myelin in postmortem multiple sclerosis brain. Ann. Neurol. 56 (2004) 407-415
51. Schmierer K., Scaravilli F., Boulby P., Wheeler-Kingshott C.A.M., and Miller H. Pathological correlates of diffusion tensor imaging (DTI) in post mortem MS brain [abstract]. Mult. Scler. 10 Suppl. 2 (2004) 229
52. Smith K., McDonald W.I., Miller D.H., and Lassmann H. The pathophysiology of multiple sclerosis. 4th ed. In: Compston A., Confavreux C., Lassmann H., McDonald W.I., Miller D.H., Noseworthy J., Smith K., and Wekerle H. (Eds) (2006), Churchill Livingstone Elsevier, Philadelphia 601-660
53. Song S.K., Sun S.W., Ramsbottom M.J., Chang C., Russell J., and Cross A.H. Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water. NeuroImage 17 (2002) 1429-1436
54. Song S.K., Sun S.W., Ju W.K., Lin S.J., Cross A.H., and Neufeld A.H. Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia. NeuroImage 20 (2003) 1714-1722
55. Song S.K., Yoshino J., Le T.Q., Lin S.J., Sun S.W., Cross A.H., and Armstrong R.C. Demyelination increases radial diffusivity in corpus callosum of mouse brain. NeuroImage 26 (2005) 132-140
56. Sun S.W., Neil J.J., and Song S.K. Relative indices of water diffusion anisotropy are equivalent in live and formalin-fixed mouse brains. Magn. Reson. Med. 50 (2003) 743-748
57. Sun S.W., Liang H.F., Trinkaus K., Cross A.H., Armstrong R.C., and Song S.K. Noninvasive detection of cuprizone induced axonal damage and demyelination in the mouse corpus callosum. Magn. Reson. Med. 55 (2006) 302-308
58. Symms M., Jäger H.R., Schmierer K., and Yousry T.A. A review of structural magnetic resonance neuroimaging. J. Neurol., Neurosurg. Psychiatry 75 (2004) 1235-1244
59. In: Tofts P.S. (Ed). Quantitative MRI of the Brain. Measuring Changes Caused by Disease (2003), John Wiley and Sons Ltd., Chichester, West Sussex, England
60. Trapp B.D., Peterson J., Ransohoff R.M., Rudick R., Mork S., and Bö L. Axonal transection in the lesions of multiple sclerosis. N. Engl. J. Med. 338 (1998) 278-285
61. van der Valk P., and de Groot C.J. Staging of multiple sclerosis (MS) lesions: pathology of the time frame of MS. Neuropathol. Appl. Neurobiol. 26 (2000) 2-10
62. van Waesberghe J.H., Kamphorst W., de Groot C.J., van Walderveen M.A., Castelijns J.A., Ravid R., Nijeholt G.J., van der Valk P., Polman C.H., Thompson A.J., and Barkhof F. Axonal loss in multiple sclerosis lesions: magnetic resonance imaging insights into substrates of disability. Ann. Neurol. 46 (1999) 747-754
63. 1-weighted spin-echo MRI in multiple sclerosis. Neurology 50 (1998) 1282-1288
64. Verhoye M.R., Gravenmade E.J., Raman E.R., van Reempts J., and van der Linden A. In vivo noninvasive determination of abnormal water diffusion in the rat brain studied in an animal model for multiple sclerosis by diffusion-weighted NMR imaging. Magn. Reson. Imaging 14 (1996) 521-532
65. Werring D.J., Clark C.A., Barker G.J., Thompson A.J., and Miller D.H. Diffusion tensor imaging of lesions and normal-appearing white matter in multiple sclerosis. Neurology 52 (1999) 1626-1632
66. Wheeler-Kingshott C.A.M., Thomas D.L., Lythgoe M.F., Guilfoyle D., Williams S.R., and Doran S.J. Burst excitation for quantitative diffusion imaging with multiple b-values. Magn. Reson. Med. 44 (2000) 737-745
67. Wheeler-Kingshott C.A.M., Barker G.J., Steens S.C.A., and van Buchem M.A. D: the Diffusion of water. In: Tofts P.S. (Ed). Quantitative MRI of the Brain. Measuring Changes Caused by Disease. 1st ed. (2003), John Wiley and Sons, Chichester 203-256
68. Wheeler-Kingshott C.A.M., Schmierer K., Ciccarelli O., Boulby P., Parker G.J.M., and Miller D.H. Diffusion tensor imaging of post-mortem brain (fresh and fixed) on a clinical scanner [abstract]. Proc. Int. Soc. Magn. Reson. Med. 13 (2003) 422