15.4 Conclusions
In white matter conditions, high-field MRI does the same as lower field MRI, but does it better. Although this simplified description might be correct, it would not reflect the full range of advantages and exciting possibilities that come with the development of higher field MR systems. MRI has been, and still is, an invaluable tool to study MS in vivo. High-field MRI will certainly further strengthen the role of MRI as the most sensitive paraclinical tool available for early diagnosis of MS. Both conventional and non-conventional MR techniques will take advantage of the use of high-field MR systems to study MS, as well as other white matter diseases.
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References
Arnold DL, Wolinsky JS, Matthews PM, Falini A (1998) The use of magnetic resonance spectroscopy in the evaluation of the natural history of multiple sclerosis. J Neurol Neurosurg Psychiatry 64Suppl 1:S94–101
Au Duong MV, Boulanouar K, Audoin B, et al. (2005) Modulation of effective connectivity inside the working memory network in patients at the earliest stage of multiple sclerosis. Neuroimage 24(2):533–538
Bachmann R, Reilmann R, Kraemer S, et al. (2003) Multiple sclerosis: comparative MR-imaging at 1.5 and 3.0 Tesla [abstract 1465]. Presented at: Radiological Society of North America RSNA 2003 89th Scientific Assembly and Meeting; December 5, 2003; Chicago
Bakshi R, Benedict RH, Bermel RA, et al. (2002) T2 hypointensity in the deep gray matter of patients with multiple sclerosis: a quantitative magnetic resonance imaging study. Arch Neurol 59(1):62–68
Bammer R, Augustin M, Strasser-Fuchs S, et al. (2000) Magnetic resonance diffusion tensor imaging for characterizing diffuse and focal white matter abnormalities in multiple sclerosis. Magn Reson Med 44(4):583–591
Barkhof F (2002) The clinico-radiological paradox in multiple sclerosis revisited. Curr Opin Neurol 15(3):239–245
Castriota-Scanderbeg A, Fasano F, Hagberg G, et al. (2003) Coefficient D(av) is more sensitive than fractional anisotropy in monitoring progression of irreversible tissue damage in focal nonactive multiple sclerosis lesions. AJNR Am J Neuroradiol 24(4):663–670
Charil A, Zijdenbos AP, Taylor J, et al. (2003) Statistical mapping analysis of lesion location and neurological disability in multiple sclerosis: application to 452 patient data sets. Neuroimage 19(3):532–544
Chen W, Ugurbil K (1999) High spatial resolution functional magnetic resonance imaging at very-high-magnetic field. Top Magn Reson Imaging 10(1):63–78
Chiaravalloti N, Hillary F, Ricker J, et al. (2005) Cerebral activation patterns during working memory performance in multiple sclerosis using FMRI. J Clin Exp Neuropsychol 27(1):33–54
Compston A, Coles A (2002) Multiple sclerosis. Lancet 359(9313):1221–1231
Craelius W, Migdal MW, Luessenhop CP, et al. (1982) Iron deposits surrounding multiple sclerosis plaques. Arch Pathol Lab Med 106(8):397–399
Erskine MK, Cook LL, Riddle KE, et al. (2005) Resolution-dependent estimates of multiple sclerosis lesion loads. Can J Neurol Sci 32(2):205–212
Filippi M, Rocca MA (2003) Disturbed function and plasticity in multiple sclerosis as gleaned from functional magnetic resonance imaging. Curr Opin Neurol 16(3):275–282
Filippi M, Rocca MA, Comi G (2003a) The use of quantitative magnetic-resonance-based techniques to monitor the evolution of multiple sclerosis. Lancet Neurol 2(6):337–346
Fog T (1965) The topography of plaques in multiple sclerosis. Acta Neurol Scand 15:1–161
Gallo A, Rovaris M, Riva R, et al. (2005) Diffusion-tensor magnetic resonance imaging detects normal-appearing white matter damage unrelated to short-term disease activity in patients at the earliest clinical stage of multiple sclerosis. Arch Neurol 62(5):803–808
Gonen O, Moriarty DM, Li BS, et al. (2002) Relapsing-remitting multiple sclerosis and whole-brain N-acetylaspartate measurement: evidence for different clinical cohorts initial observations. Radiology 225(1):261–268
Hasan KM, Narayana PA (2005) DTI parameter optimization at 3.0 T: potential application in entire normal human brain mapping and multiple sclerosis research. Medica Mundi 49(1):30–45
Hasan KM, Gupta RK, Santos RM, et al. (2005) Diffusion tensor fractional anisotropy of the normal-appearing seven segments of the corpus callosum in healthy adults and relapsing-remitting multiple sclerosis patients. J Magn Reson Imaging 21(6):735–743
Hattori N, Abe K, Sakoda S, Sawada T (2002) Proton MR spectroscopic study at 3 Tesla on glutamate/glutamine in Alzheimer’s disease. Neuroreport 13(1):183–186
Kaiser LG, Schuff N, Cashdollar N, Weiner MW (2005) Scylloinositol in normal aging human brain: 1H magnetic resonance spectroscopy study at 4 Tesla. NMR Biomed 18(1):51–55
Kangarlu A, Burgess RE, Zhu H, et al. (1999) Cognitive, cardiac, and physiological safety studies in ultra high field magnetic resonance imaging. Magn Reson Imaging 17(10):1407–1416
Kangarlu A, Rammohan KW, Bourekas EC, Chakeres DW (2002) In-vivo microscopic imaging of multiple sclerosis with high field MRI. In: Filippi M, Comi G (eds) New frontiers of MR-based techniques in MS. Springer, Berlin Heidelberg New York
Kangarlu A, Rammohan KW, Bourekas EC, RayChaudhry A (2004) Imaging of cortical lesions in multiple sclerosis. Proceedings of 12th Meeting of the International Society of Magnetic Resonance in Medicine. Kyoto, Japan
Keiper MD, Grossman RI, Hirsch JA, et al. (1998) MR identification of white matter abnormalities in multiple sclerosis: a comparison between 1.5 T and 4 T. AJNR Am J Neuroradiol 19(8):1489–1493
Larsson HB, Thomsen C, Frederiksen J, et al. (1992) In vivo magnetic resonance diffusion measurement in the brain of patients with multiple sclerosis. Magn Reson Imaging 10(1):7–12
Larsson EM, Englund E, Sjobeck M, et al. (2004) MRI with diffusion tensor imaging post-mortem at 3.0 T in a patient with frontotemporal dementia. Dement Geriatr Cogn Disord 17(4):316–319
Le Bihan D, Mangin JF, Poupon C, et al. (2001) Diffusion tensor imaging: concepts and applications. J Magn Reson Imaging 13(4):534–546
Lee M, Reddy H, Johansen-Berg H, et al. (2000) The motor cortex shows adaptive functional changes to brain injury from multiple sclerosis. Ann Neurol 47(5):606–613
Levine SM, Chakrabarty A (2004) The role of iron in the pathogenesis of experimental allergic encephalomyelitis and multiple sclerosis. Ann N Y Acad Sci 1012:252–266
Mason GF, Pan JW, Ponder SL, et al. (1994) Detection of brain glutamate and glutamine in spectroscopic images at 4.1 T. Magn Reson Med 32(1):142–145
McDonald WI, Compston A, Edan G, et al. (2001) Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis. Ann Neurol 50(1):121–127
Miller DH (1996) Guidelines for MRI monitoring of the treatment of multiple sclerosis: recommendations of the US Multiple Sclerosis Society’s task force. Mult Scler 1(6):335–338
Mori S, van Zijl PC (2002) Fiber tracking: principles and strategies — a technical review. NMR Biomed 15(7–8):468–480
Novak P, Novak V, Kangarlu A, et al. (2001) High resolution MRI of the brainstemat 8 T. J Comput Assist Tomogr 25(2):242–246
Oreja-Guevara C, Rovaris M, Iannucci G, et al. (2005) Progressive gray matter damage in patients with relapsing-remitting multiple sclerosis: a longitudinal diffusion tensor magnetic resonance imaging study. Arch Neurol 62(4):578–584
Oz G, Tkac I, Charnas LR, et al. (2005) Assessment of adrenoleukodystrophy lesions by high field MRS in non-sedated pediatric patients. Neurology 64(3):434–441
Pan JW, Hetherington HP, Vaughan JT, et al. (1996) Evaluation of multiple sclerosis by 1H spectroscopic imaging at 4.1 T. Magn Reson Med 36(1):72–77
Pantano P, Iannetti GD, Caramia F, et al. (2002) Cortical motor reorganization after a single clinical attack of multiple sclerosis. Brain 125(7):1607–1615
Pfefferbaum A, Adalsteinsson E, Sullivan EV (2005) Frontal circuitry degradation marks healthy adult aging: Evidence from diffusion tensor imaging. Neuroimage 26(3):891–899
Reddy H, Narayanan S, Woolrich M, et al. (2002) Functional brain reorganization for hand movement in patients with multiple sclerosis: defining distinct effects of injury and disability. Brain 125(12):2646–2657
Robitaille PM, Abduljalil AM, Kangarlu A (2000) Ultra high resolution imaging of the human head at 8 tesla: 2K × 2K for Y2K. J Comput Assist Tomogr 24(1):2–8
Rocca MA, Gallo A, Colombo B, et al. (2004) Pyramidal tract lesions and movement-associated cortical recruitment in patients with MS. Neuroimage 23(1):141–147
Rovaris M, Filippi M (1999) Magnetic resonance techniques to monitor disease evolution and treatment trial outcomes in multiple sclerosis. Curr Opin Neurol 12(3):337–344
Schenck JF, Zimmerman EA (2004) High-field magnetic resonance imaging of brain iron: birth of a biomarker? NMR Biomed 17(7):433–445
Schubert F, Seifert F, Elster C, et al. (2002) Serial 1H-MRS in relapsing-remitting multiple sclerosis: effects of interferon-beta therapy on absolute metabolite concentrations. MAGMA 14(3):213–222
Sicotte NL, Voskuhl RR, Bouvier S, et al. (2003) Comparison of multiple sclerosis lesions at 1.5 and 3.0 Tesla. Invest Radiol 38(7):423–427
Srinivasan R, Sailasuta N, Hurd R, et al. (2005) Evidence of elevated glutamate in multiple sclerosis using magnetic resonance spectroscopy at 3 T. Brain 128(5):1016–1025
Staffen W, Mair A, Zauner H, et al. (2002) Cognitive function and fMRI in patients with multiple sclerosis: evidence for compensatory cortical activation during an attention task. Brain 125(6):1275–1282
Tan IL, van Schijndel RA, Pouwels PJ, et al. (2000) MR venography of multiple sclerosis. AJNR Am J Neuroradiol 21(6):1039–1042
Tjoa CW, Benedict RH, Weinstock-Guttman B, et al. (2005) MRI T2 hypointensity of the dentate nucleus is related to ambulatory impairment in multiple sclerosis. J Neurol Sci 234(1–2):17–24
Valsasina P, Rocca MA, Agosta F, et al. (2005) Mean diffusivity and fractional anisotropy histogram analysis of the cervical cord in MS patients. Neuroimage 26(3):822–828
Vinogradov E, Degenhardt A, Smith D, et al. (2005) High-resolution anatomic, diffusion tensor, and magnetization transfer magnetic resonance imaging of the optic chiasm at 3T. J Magn Reson Imaging 22(2):302–306
Werring DJ, Clark CA, Barker GJ, et al. (1999) Diffusion tensor imaging of lesions and normal-appearing white matter in multiple sclerosis. Neurology 52:1626–1632
Werring DJ, Bullmore ET, Toosy AT, et al. (2000) Recovery from optic neuritis is associated with a change in the distribution of cerebral response to visual stimulation: a functional magnetic resonance imaging study. J Neurol Neurosurg Psychiatry 68(4):441–449
Wolff SD, Balaban RS (1994) Magnetization transfer imaging: practical aspects and clinical applications. Radiology 192(3):593–599
Wylezinska M, Cifelli A, Jezzard P, et al. (2003) Thalamic neurodegeneration in relapsing-remitting multiple sclerosis. Neurology 60(12):1949–1954
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Charil, A., Filippi, M., Falini, A. (2006). High-Field Strength MRI (3.0 T or More) in White Matter Diseases. In: Salvolini, U., Scarabino, T. (eds) High Field Brain MRI. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31776-7_15
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