The role of magnetic resonance imaging in the study of multiple sclerosis: Diagnosis,prognosis and understanding disease pathophysiology

Acta Neurologica Belgica

Volumn 111, Issue 2, 2011, Pages 89-98

  Filippi, Massimo ^a   Rocca, Maria A ^a  

^a VITA SALUTE SAN RAFFAELE UNIVERSITY   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN DAMAGE; DIFFERENTIAL DIAGNOSIS; HUMAN; MULTIPLE SCLEROSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PROGNOSIS; REVIEW; SPINAL CORD LESION;

EID: 79959404087     PISSN: 03009009     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (88)

1. Ormerod iE.,Miller DH.,McDonald,Wi., et al Therole of NMR imaging in the assessment of multiple sclerosis and isolated neurological lesions A quanti-tative study Brain 1987;110 (pt 6):1579-1616.
2. Filippi M, Gawne-cain Ml, Gasperini c et al Effectof training and different measurement strategies on the reproducibility of brain MRi lesion load measure-ments in multiple sclerosis Neurology 1998;50:238-244.
3. Barkhof F, Filippi M, van Waesberghe JH et al im-proving interobserver variation in reporting gadolin- ium-enhanced MRi lesions in multiple sclerosis Neurology 1997;49:1682-1688.
4. Bot Jc, Barkhof F Spinal-cord MRi in multiple scle-rosis: conventional and nonconventional MR tech- niques Neuroimaging clin N Am 2009;19:81-99.
5. Miller DH, Newton MR, van der poel Jc et al Mag-netic resonance imaging of the optic nerve in optic neuritis Neurology 1988;38:175-179.
6. Gass A, Moseley iF, Barker GJ et al lesion discrim-ination in optic neuritis using high-resolution fat-sup-pressed fast spin-echo MRi Neuroradiology 1996;38:317-321.
7. Jackson A, Sheppard S, laitt RD et al optic neuritis:MR imaging with combined fat- and water-suppres- sion techniques Radiology 1998;206:57-63.
8. Glisson cc, Galetta Sl Nonconventional optic nerveimaging in multiple sclerosis Neuroimaging clin N Am 2009;19:71-79.
9. Davies MB, Williams R, Haq N et al MRi of opticnerve and postchiasmal visual pathways and visual evoked potentials in secondary progressive multiple sclerosis Neuroradiology 1998;40:765-770.
10. Rocca MA, Hickman SJ,.et al imaging theoptic nerve in multiple sclerosis Mult Scler 2005;11:537-541.
11. McDonald Wi, compston A, Edan G et al Recom-mended diagnostic criteria for multiple sclerosis: guidelines from the international panel on the diag-nosis of multiple sclerosis Ann Neurol 2001;50:121-127.
12. Charil A, yousry TA, Rovaris M et al MRi and thediagnosis of multiple sclerosis: expanding the concept of "no better explanation" lancet Neurol.2006;5:841-852.
13. Miller DH, Weinshenker BG, Filippi M et al Differ-ential diagnosis of suspected multiple sclerosis: a consensus approach Mult Scler 2008;14:1157-1174.
14. Polman cH, Reingold Sc, Edan G et al Diagnosticcriteria for multiple sclerosis: 2005 revisions to the "McDonald criteria" Ann Neurol 2005;58:840-846.
15. Swanton JK, Fernando K, Dalton cM,et al Modification of MRi criteria for multiple sclerosis ipatients with clinically isolated syndromes J Neurol Neurosurg psychiatry 2006.,77:830-833.
16. Swanton JK, Rovira A, Tintore M,et al MRi criteriafor multiple sclerosis in patients presenting with clinically isolated syndromes: a multicentre retro-spective study lancet Neurol 2007;6:677-686.
17. Rovira A, Swanton J, Tintore M.,et al.A single, earlymagnetic resonance imaging study in the diagnosis of multiple sclerosis Arch Neurol 2009;66:587-592.
18. Montalban X, Tintore M,Swanton J et al MRicriteria for MS in patients with clinically isolated syndromes Neurology 2010;74:427-434.
19. Polman c, Reingold Sc, Banwell B.et al Diagnostic 35.criteria for multiple sclerosis: 2010 revision to the "McDonald criteria" Ann Neurol 2011,69:292-302.
20. Geurts JJ, pouwels pJ, Uitdehaag BM., et al.intra -cortical lesions in multiple sclerosis: improved detection with 3D double inversion-recovery MR imaging.Radiology.2005;236:254-260.
21. Calabrese M, De Stefano N, Atzori M.Detec-tion of cortical inflammatory lesions by double inver.sion recovery magnetic resonance imaging in patients with multiple sclerosis Arch Neurol 2007;64:1416-1422.
22. Filippi M, Rocca MA, calabrese M., et al intra -cortical lesions: relevance for new diagnostic criteriafor multiple sclerosis Neurology 2010;75:1988-1994.
23. Wingerchuk DM, lennon VA, pittock SJ., et al Revised diagnostic criteria for neuromyelitis optica Neurology 2006;66:1485-1489.
24. Filippi M, Horsfield MA, Morrissey SP., et al Quantitative brain MRi lesion load predicts the course of clinically isolated syndromes suggestive of multiple sclerosis Neurology 1994;44:635-641.
25. Brex, PA., Ciccarelli, O., Riordan, JI., et al.A longitu-dinal study of abnormalities on MRi and disability from multiple sclerosis N Engl J Med 2002;346: 158-164.
26. Fisniku IK,. et al Disabilityand T2 MRi lesions: a 20-year follow-up of patients with relapse onset of multiple sclerosis. Brain 43.2008;131:808-817.
27. Minneboo A, Barkhof F, polman CH,et al.infraten-torial lesions predict long-term disability in patients 44.with initial findings suggestive of multiple sclerosis Arch Neurol 2004;61:217-221.
28. Barkhof F, Filippi M, Miller DH et al comparisonof MRi criteria at first presentation to predict conver- 45.sion to clinically definite multiple sclerosis Brain 1997;120 (pt 11):2059-2069.
29. Tintore M Rovira A, Rio J et al Baseline MRi pre-dicts future attacks and disability in clinically isolated syndromes Neurology 2006;67:968-972.
30. Swanton JK, Fernando KT, Dalton CM, et al Early 46.MRi in optic neuritis: the risk for disability Neurol-ogy 2009;72:542-550.
31. Filippi M, Agosta F Magnetization transfer MRI in predictors of clinicalmultiple sclerosis J Neuroimaging 2007;17 Suppl 1: 22-26.
32. Rocca MA, Mastronardo G,.long-term changes of magnetization transfer-derived measures from patients with relapsing-remitting and secondary progressive multiple sclerosis AJNR Am J Neuroradiol 1999;20:821-827.
33. Vellinga MM,Engberink RD, Seewann A, et al pluriformity of inflammation in multiple sclerosis shown by ultra-small iron oxide particle enhance- ment Brain 2008;131:800-807.
34. Ge Y, Zohrabian VM, Grossman RI Seven-Tesla magnetic resonance imaging: new vision of micro - vascular abnormalities in multiple sclerosis Arch Neurol 2008;65:812-816.
35. Hammond KE, Metcalf M, carvajal l et al Quanti- tative in vivo magnetic resonance imaging of multiple sclerosis at 7 Tesla with sensitivity to iron Ann Neurol 2008;64:707-713.
36. Tallantyre EC., Brookes MJ., Dixon JE, et al Demonstrating the perivascular distribution of MS lesions in vivo with 7-Tesla MRi Neurology.2008;70:2076-2078.
37. Filippi M, Rocca MA., conventional MRi in multiple sclerosis J Neuroimaging 2007;17 Suppl 1:3-9.
38. Clabrese M, Filippi M, Rovaris M., et al Evidence for relative cortical sparing in benign multiple sclerosis: a longitudinal magnetic resonance imaging study Mult Scler 2009;15:36-41.
39. Calabrese M, Rocca MA, Atzori M., et al.cortical lesions in primary progressive multiple sclerosis: a 2-year longitudinal MR study Neurology 2009;72: 1330-1336.
40. Calabrese M, Rocca M, Atzori M., et al.A three-year MRi study of cortical lesions in relapse-onset multiple sclerosis Ann Neurol 2010;67:376-383.
41. Calabrese M, Agosta F, Rinaldi F., et al cortical lesions and atrophy associated with cognitive impair- ment in relapsing-remitting multiple sclerosis Arch Neurol 2009;66:1144-1150.
42. Roosendaal SD, Moraal B., pouwels pJ, et al Accumulation of cortical lesions in MS: relation with cognitive impairment < Mult Scler 2009;15:708-714.
43. Kidd D., Barkhof F, Mcconnell R, et al cortical lesions in multiple sclerosis Brain 1999;122 (pt 1): 17-26.
44. Pouwels PJ, Kuijer Jp, Mugler Jp, et al.Human grey matter: feasibility of single-slab 3D double inversion-recovery high-spatial-resolution MR imaging Radiology 2006;241:873-879.
45. Nelson F, poonawalla AH, Hou p, et al improved identification of intracortical lesions in multiple scle- rosis with phase-sensitive inversion recovery in com- bination with fast double inversion recovery MR imaging AJNR Am J Neuroradiol 2007;28:1645- 1649.
46. Nelson F, poonawalla A, Hou p, et al 3D MpRAGE improves classification of cortical lesions in multiple sclerosis Mult Scler 2008;14:1214-1219.
47. Filippi M., Rocca MA., Martino G., et al Magnetiza- tion transfer changes in the normal appearing white matter precede the appearance of enhancing lesions in patients with multiple sclerosis Ann Neurol.1998;43:809-814.
48. Rocca MA, cercignani M, iannucci G., et al Weeklydiffusion-weighted imaging of normal-appearing white matter in MS Neurology 2000;55:882-884.
49. Narayana pA, Doyle TJ, lai D, Wolinsky JS., Serialproton magnetic resonance spectroscopic imaging, contrast-enhanced magnetic resonance imaging, and quantitative lesion volumetry in multiple sclerosis.Ann Neurol 1998;43:56-71.
50. Filippi M, Agosta F, imaging biomarkers in multiplesclerosis J Magn Reson imaging 2010;31:770-788.
51. Filippi M, Tortorella c, Rovaris M., et al changes inthe normal appearing brain tissue and cognitive impairment in multiple sclerosis J Neurol Neurosurg psychiatry 2000;68:157-161.
52. Rovaris M, Agosta F, Sormani Mp., et al conven-tional and magnetization transfer MRi predictors of clinical multiple sclerosis evolution: a medium-term follow-up study Brain 2003;126:2323-2332.
53. Rovaris M, Agosta F, pagani E, Filippi M., Diffusiontensor imaging Neuroimaging clin N Am 2009; 19:37-43.
54. Absinta M, Rocca MA, Moiola l., et al Brain macro-and microscopic damage in patients with paediatric MS J Neurol Neurosurg psychiatry 2010.
55. De Stefano N, Narayanan S, Matthews pM., et al invivo evidence for axonal dysfunction remote from focal cerebral demyelination of the type seen in multiple sclerosis Brain 1999;122 (pt 10):1933-1939.
56. Fu l, Matthews pM, De Stefano N., et al imagingaxonal damage of normal-appearing white matter in multiple sclerosis Brain 1998;121 (pt 1):103-113.
57. Amato Mp.,portaccio E., Stromillo Ml.,et al.cognitive assessment and quantitative magnetic resonance metrics can help to identify benign multiple sclerosis Neurology 2008;71:632-638.
58. Agosta F, Rovaris M, pagani E., et al Magnetizationtransfer MRi metrics predict the accumulation of disability 8 years later in patients with multiplesclerosis Brain 2006;129:2620-2627.
59. Rovaris M, Judica E, Gallo A., et al Grey matterdamage predicts the evolution of primary progressive multiple sclerosis at 5 years Brain 2006;129:2628-2634.
60. Valsasina p, Benedetti B, Rovaris M., et al Evidencefor progressive grey matter loss in patients with re-lapsing-remitting MS Neurology 2005;65:1126-1128.
61. Rovaris M, Bozzali M, iannucci G., et al.Assessmentof normal-appearing white and grey matter in patients with primary progressive multiple sclerosis: a diffusion-tensor magnetic resonance imaging study.Arch Neurol 2002;59:1406-1412.
62. Oeja-Guevara c, Rovaris M, iannucci G., et al.progressive grey matter damage in patients with relapsing-remitting multiple sclerosis: a longitudinal diffusion tensor magnetic resonance imaging study.Arch Neurol 2005;62:578-584.
63. Rovaris M, Gallo A, Valsasina p, et al Short-termaccrual of grey matter pathology in patients with progressive multiple sclerosis: an in vivo study using diffusion tensor MRi Neuroimage 2005;24:1139-1146.
64. Ceccarelli A, Rocca MA, pagani E., et al The topo-graphical distribution of tissue injury in benign MS: a 3T multiparametric MRi study Neuroimage 2008; 39:1499-1509.
65. Dineen RA, Vilisaar J, Hlinka J., et al Disconnectionas a mechanism for cognitive dysfunction in multiple sclerosis Brain 2009;132:239-249.
66. Roosendaal SD, Geurts JJ, Vrenken H et al RegionalDTi differences in multiple sclerosis patients Neuro - image 2009;44:1397-1403.
67. Pagani E, Filippi M, Rocca MA, Horsfield MA Amethod for obtaining tract-specific diffusion tensor MRi measurements in the presence of disease: appli- cation to patients with clinically isolated syndromessuggestive of multiple sclerosis Neuroimage 2005; 26:258-265.
68. Ceccarelli A, Rocca MA, pagani E., et al A voxel-based morphometry study of grey matter loss in MS patients with different clinical phenotypes Neuro - image 2008;42:315-322.
69. Henry RG, Shieh M, okuda DT. etal.,Regional greymatter atrophy in clinically isolated syndromes at presentation J Neurol Neurosurg psychiatry 2008; 79:1236-1244.
70. Bendfeldt K, Kuster p, Traud S, et al Association ofregional grey matter volume loss and progression of white matter lesions in multiple sclerosis - A longitu- dinal voxel-based morphometry study Neuroimage.2009;45:60-67.
71. Mesaros S, Rovaris M, pagani E et al A magneticresonance imaging voxel-based morphometry studyof regional grey matter atrophy in patients with benignmultiple sclerosis Arch Neurol 2008;65:1223-1230.
72. Riccitelli G, Rocca MA, pagani E., et al cognitiveimpairment in multiple sclerosis is associated to different patterns of grey matter atrophy according to clinical phenotype Hum Brain Mapp 2011;(inpress) [Epub ahead of print 25 August 2010; doi: 10.1002/hbm.21125].
73. Mesaros S, Rocca MA, Absinta M., et al Evidence ofthalamic grey matter loss in pediatric multiple scle- rosis Neurology 2008;70:1107-1112.
74. Khaleeli Z, cercignani M, Audoin B., et al localizedgrey matter damage in early primary progressive multiple sclerosis contributes to disability Neuro - image 2007;37:253-261.
75. Ceccarelli A, Rocca MA, Valsasina p., et al A multi-parametric evaluation of regional brain damage in patients with primary progressive multiple sclerosis Hum Brain Mapp 2009;30:3009-3019.
76. Bodini B, Khaleeli Z, cercignani M, et al Exploringthe relationship between white matter and grey matter damage in early primary progressive multiple sclero- sis: an in vivo study with TBSS and VBM HumBrain Mapp 2009;30:2852-2861.
77. Agosta F, Absinta M., Sormani Mp., et al in vivoassessment of cervical cord damage in MS patients: a longitudinal diffusion tensor MRi study Brain 2007;130:2211-2219.
78. Zackowski KM, Smith SA, Reich DS., et al Sensori- motor dysfunction in multiple sclerosis and column-in the spinal cord Brain 2009 132:1200-1209.
79. Cccarelli 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.
80. Filippi M, Rocca MA Functional MR imaging in multiple sclerosis Neuroimaging clin N Am 2009; 19:59-70.
81. Rocca MA, colombo B, Falini A., et al cortical adaptation in patients with MS: a cross-sectional functional MRi study of disease phenotypes lancet Neurol 2005;4:618-626.
82. Rocca MA, Absinta M, Ghezzi A et al is a preserved functional reserve a mechanism limiting clinical impairment in pediatric MS patients? Hum Brain Mapp 2009;30:2844-2851.
83. Rocca MA, ceccarelli A, Rodegher M, et al preserved brain adaptive properties in patients with benign multiple sclerosis Neurology 2010;74:142-149.
84. Mezzapesa DM, Rocca MA, Rodegher M, et al.Functional cortical changes of the sensorimotor net- work are associated with clinical recovery in multiple sclerosis Hum Brain Mapp 2008:562-573.
85. Rocca MA, pagani E, Absinta M., et al Altered func- tional and structural connectivities in patients with MS: a 3-T study Neurology 2007;69:2136-2145.
86. Rocca MA, Valsasina p, ceccarelli A et al Structural and functional MRi correlates of Stroop control in benign MS Hum Brain Mapp 2009;30:276-290
87. Rocca MA, Valsasina p., Absinta M., et al Default- mode network dysfunction and cognitive impairment in progressive MS Neurology 2010;74:1252-1259.
88. Agosta F, Valsasina p., Absinta M., et al primary progressive multiple sclerosis: tactile-associated functional MR activity in the cervical spinal cord Radiology 2009;253:209-215.