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Theme: Demyelinating Diseases - Review

Clinical applications of imaging disease burden in multiple sclerosis: MRI and advanced imaging techniques

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Pages 323-333 | Published online: 09 Jan 2014

References

  • Polman C, Reingold S, Banwell B et al. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann. Neurol.69, 292–302 (2011).
  • Polman C, Reingold S, Edan G et al. Diagnostic criteria for multiple sclerosis: 2005 revisions to the ‘McDonald criteria’. Ann. Neurol.58(6), 840–846 (2005).
  • Sormani MP, Bonzano L, Roccatagliata L et al. Magnetic resonance imaging as a potential surrogate for relapses in multiple sclerosis: a meta-analytic approach. Ann. Neurol.65, 268–275 (2009).
  • Sormani MP, Bonzano L, Roccatagliata L et al. Surrogate endpoints for EDSS worsening in multiple sclerosis: a meta-analytic approach. Neurology75, 302–309 (2010).
  • Cotton F, Weiner HL, Jolesz FA, Guttmann CR. MRI contrast uptake in new lesions in relapsing–remitting MS followed at weekly intervals. Neurology60(4), 640–646 (2003).
  • Río J, Rovira A, Tintoré M et al. Relationship between MRI lesion activity and response to IFN-β in relapsing–remitting multiple sclerosis patients. Mult. Scler.14, 479–484 (2008).
  • Río J, Castilló J, Rovira, A et al. Measures in the first year of therapy predict the response to interferon β in MS. Mult. Scler.15, 848–853 (2009).
  • Prosperini L, Gallo V, Petsas N, Borriello G, Pozzilli C. One-year MRI scan predicts clinical response to interferon β in multiple sclerosis. Eur. J. Neurol.16, 1202–1209 (2009).
  • Fisniku LK, Brex PA, Altmann DR et al. Disability and T2 MRI lesions: a 20-year follow-up of patients with relapse onset of multiple sclerosis. Brain131, 808–817 (2008).
  • Weiner H, Guttmann C, Khoury S et al. Serial magnetic resonance imaging in multiple sclerosis: correlation with attacks, disability and disease stage. J. Neuroimmunol.104, 164–173 (2000).
  • Li DKB, Held U, Petkau J et al. MRI T2 lesion burden in multiple sclerosis: a plateauing relationship with clinical disability. Neurology66, 1384–1389 (2006).
  • Liguori M, Meier D, Hildenbrand P et al. One year activity on subtraction MRI predicts subsequent 4 year activity and progression in multiple sclerosis. J. Neurol. Neurosurg. Psychiatr.82(10), 1125–1131 (2011).
  • Moraal B, Meier D, Poppe P et al. Subtraction MR images in a multiple sclerosis multicenter clinical trial setting. Radiology250(2), 506–514 (2009).
  • Moraal B, van den Elskamp IJ, Knol DL et al. Long-interval T2-weighted subtraction magnetic resonance imaging: a powerful new outcome measure in multiple sclerosis trials. Ann. Neurol.67, 667–675 (2010).
  • Miller DH, Barkhof F, Frank JA, Parker GJ, Thompson AJ. Measurement of atrophy in multiple sclerosis: pathological basis, methodological aspects and clinical relevance. Brain125, 1676–1695 (2002).
  • Calabrese M, Atzori M, Bernardi V et al. Cortical atrophy is relevant in multiple sclerosis at clinical onset. J. Neurol.254(9), 1212–1220 (2007).
  • Henry RG, Shieh M, Okuda D, Evangelista A, Gorno-Tempini ML, Pelletier D. Regional grey matter atrophy in clinically isolated syndromes at presentation. J. Neurol. Neurosurg. Psychiat.79, 1236–1244 (2008).
  • Amato MP, Portaccio E, Goretti B et al. Association of neocortical volume changes with cognitive deterioration in relapsing-remitting multiple sclerosis. Arch. Neurol.64(8), 1157–1161 (2007).
  • Sanfilipo MP, Benedict RH, Sharma J, Weinstock-Guttman B, Bakshi R. The relationship between whole brain volume and disability in multiple sclerosis: a comparison of normalized grey vs white matter with misclassification correction. Neuroimage26(4), 1068–1077 (2005).
  • Mowry EM, Beheshtian A, Waubant E et al. Quality of life in multiple sclerosis is associated with lesion burden and brain volume measures. Neurology72, 1760–1765 (2009).
  • Bermel RA, Bakshi R. The measurement and clinical relevance of brain atrophy in multiple sclerosis. Lancet Neurol.5, 158–170 (2006).
  • Tedeschi G, Lavorgna L, Russo P et al. Brain atrophy and lesion load in a large population of patients with multiple sclerosis. Neurology65, 280–285 (2005).
  • Wegner C, Esiri MM, Chance SA. Neocortical neuronal, synaptic, and glial loss in multiple sclerosis. Neurology67, 960–967 (2005).
  • Minagar A, Toledo EG, Alexander JS, Kelley RE. Pathogenesis of brain and spinal cord atrophy in multiple sclerosis. J. Neuroimaging14(Suppl. 3), 5–10 (2004).
  • Miller DH, Soon D, Fernando KT et al. MRI outcomes in a placebo-controlled trial of natalizumab in relapsing MS. Neurology68, 1390–1401 (2007).
  • Fisher E, Lee JC, Nakamura K, Rudick R. Gray matter atrophy in multiple sclerosis: a longitudinal study. Ann. Neurol.64, 255–265 (2008).
  • Fisniku LK, Chard DT, Jackson JS et al. Gray matter atrophy is related to long-term disability in multiple sclerosis. Ann. Neurol.64, 247–254 (2008).
  • Roosendaal SD, Bendfeldt K, Vrenken H et al. Grey matter volume in a large cohort of MS patients: relation to MRI parameters and disability. Mult. Scler.17, 1098–1106 (2011).
  • Tao G, Datta S, He R et al. Deep grey matter atrophy in multiple sclerosis: a tensor based morphometry. J. Neurol. Sci.282, 39–46 (2009).
  • Calabrese M, Rinaldi F, Mattisi I et al. The predictive value of gray matter atrophy in clinically isolated syndromes. Neurology77, 257–263 (2011).
  • Filippi M, Rocca M. MR imaging of multiple sclerosis. Radiology259(3), 659–681 (2011).
  • Sicotte NL, Kern KC, Giesser BS et al. Regional hippocampal atrophy in multiple sclerosis. Brain131(Pt 4), 1134–1141 (2008).
  • Kiy G, Lehmann P, Hahn HK, Eling P, Kastrup A, Hildebrandt H. Decreased hippocampal volume, indirectly measured, is associated with depressive symptoms and consolidation deficits in multiple sclerosis. Mult. Scler.17(9), 1088–1097 (2011).
  • Pellicano C, Gallo A et al. Relationship of cortical atrophy to fatigue in patients with multiple sclerosis. Arch. Neurol.67(4), 447–453 (2010).
  • Pelletier D, Garrison K, Henry R. Measurement of whole-brain atrophy in multiple sclerosis. J. Neuroimaging14, S11–S19 (2004).
  • Rudick RA, Fisher E, Lee JC, Simon J, Jacobs L. Use of the brain parenchymal fraction to measure whole brain atrophy in relapsing–remitting MS. Neurology53, 1698–1704 (1999).
  • Udupa JK, Wei L, Samarasekera S et al. Multiple sclerosis lesion quantification using fuzzy-connectedness principles. IEEE Trans. Med. Imaging16, 598–609 (1997).
  • Alfano B, Brunetti A, Covelli EM et al. Unsupervised, automated segmentation of the normal brain using a multispectral relaxometric magnetic resonance approach. Magn. Reson. Med.37, 84–93 (1997).
  • Smith SM, Zhang Y, Jenkinson M et al. Accurate, robust and automated longitudinal and cross-sectional brain change analysis. Neuroimage17, 479–489 (2002).
  • Dade LA, Gao FQ, Kovacevic N et al. Semiautomatic brain region extraction: a method of parcellating brain regions from structural magnetic resonance images. Neuroimage22, 1492–1502 (2004).
  • Dale AM, Fischl B, Sereno MI. Cortical surface-based analysis I. Segmentation and surface reconstruction. Neuroimage9, 179–194 (1999).
  • Fischl B, Sereno MI, Dale AM. Cortical surface-based analysis II. Inflation, flattening, and a surface-based coordinate system. Neuroimage9, 195–207 (1999).
  • Filippi M, Agosta F. Magnetization transfer MRI in multiple sclerosis. J. Neuroimaging17, S22–S26 (2007).
  • Schmierer K, Scaravilli F, Altmann DR et al. Magnetization transfer ratio and myelin in postmortem multiple sclerosis brain. Ann. Neurol.56(3), 407–415 (2004).
  • Deloire MSA, Ruet A, Hamel D. MRI predictors of cognitive outcome in early multiple sclerosis. Neurology76, 1161–1167 (2011).
  • Rovaris M, Bozzali M, Rodegher M et al. Brain MRI correlates of magnetization transfer imaging metrics in patients with multiple sclerosis. J. Neurol. Sci.166(1), 58–63 (1999).
  • Rovaris M, Filippi M. Diffusion tensor MRI in multiple sclerosis. J. Neuroimaging17, S27–S30 (2007).
  • Henry RG, Oh J, Nelson SJ, Pelletier D. Directional tensor imaging in relapsing–remitting multiple sclerosis: a possible in vivo signature of wallerian degeneration. J. Magn. Reson. Imaging18, 420–426 (2003).
  • Rovaris M, Gallo A, Valsasina P et al. Short-term accrual of gray matter pathology in patients with progressive multiple sclerosis: an in vivo study using diffusion tensor MRI. Neuroimage24, 1139–1146 (2005).
  • Yu HJ, Christodoulou C, Bhise V et al. Multiple white matter tract abnormalities underlie cognitive impairment in RRMS. Neuroimage doi:10.1016/j.neuroimage.2011.10.053 (2011) (Epub ahead of print).
  • Kern KC, Sarcona J, Montag M et al. Corpus callosal diffusivity predicts motor impairment in relapsing–remitting multiple sclerosis: a TBSS and tractography study. Neuroimage55(3), 1169–1177 (2011).
  • Sigal T, Shmuel M, Mark D, Gil H, Anat A. Diffusion tensor imaging of corpus callosum integrity in multiple sclerosis: correlation with disease variables. J. Neuroimaging22(1), 33–37 (2012).
  • Tian W, Zhu T, Zhong J et al. Progressive decline in fractional anisotropy on serial DTI examinations of the corpus callosum: a putative marker of disease activity and progression in SPMS. Neuroradiology doi:10.1007/s00234-011-0885-8 (2011) (Epub ahead of print).
  • Geurts JJ, Bo L, Pouweis PJ, Castelijns JA, Polman CH, Barkhof F. Cortical lesions in multiple sclerosis: combined postmortem MR imaging and histopathology. AJNR26(3), 572–577 (2005).
  • Seewann A, Vrenken H, Kooi EJ et al. Imaging the tip of the iceberg: visualization of cortical lesions in multiple sclerosis. Mult. Scler.17, 1202 (2011).
  • Calabrese M, De Stefano N, Atzori M et al. Detection of cortical inflammatory lesions by double inversion recovery magnetic resonance imaging in patients with multiple sclerosis. Arch. Neurol.64(10), 1416–1422 (2007).
  • Calabrese M, Rocca MA, Atzori M et al. A 3-year magnetic resonance imaging study of cortical lesions in relapse-onset multiple sclerosis. Ann. Neurol.67(3), 367–383 (2010).
  • Roosendaal SD, Moraal B, Pouwels PJ et al. Accumulation of cortical lesions in MS: relation with cognitive impairment. Mult. Scler.15(6), 708–714 (2009).
  • Geurts JJ, Pouwels PJ, Uitdehaag BM et al. Intracortical lesions in multiple sclerosis: improved detection with 3D double inversion-recovery MR imaging. Radiology236, 254–260 (2005).
  • Bagnato F, Butman JA, Gupta S et al.In vivo detection of cortical plaques by MR imaging in patients with multiple sclerosis. AJNR27(10), 2161–2167 (2006).
  • Kollia K, Maderwald S, Putzki N et al. First clinical study on ultra-high-field MR imaging in patients with multiple sclerosis: comparison of 1.5T and 7T. AJNR30(4), 699–702 (2009).
  • Geurts JJG, Roosendaal SD, Calabrese M et al. Consensus recommendations for MS cortical lesion scoring using double inversion recovery MRI. Neurology76, 418–424 (2011).
  • Ramli N, Rahmat K, Azmi K et al. The past, present and future of imaging in multiple sclerosis. J. Clin. Neurosci.17(4), 422–427 (2010).
  • Haacke EM, Xu Y, Cheng YC, Reichenbach JR. Susceptibility weighted imaging (SWI). Magn. Reson. Med.52(3), 612–618 (2004).
  • Grabner G, Dal-Bianco A, Schernthaner M, Vass K, Lassmann H, Trattnig S. Analysis of multiple sclerosis lesions using a fusion of 3.0 T FLAIR and 7.0 T SWI phase: FLAIR SWI. J. Magn. Reson. Imaging33, 543–549 (2011).
  • Bakshi R, Thompson AJ, Rocca MA et al. MRI in multiple sclerosis: current status and future prospects. Lancet Neurol.7(7), 615–625 (2008).
  • Holland CM, Charil A, Csapo I et al. The relationship between normal cerebral perfusion patterns and white matter lesion distribution in 1,249 patients with multiple sclerosis. J. Neuroimaging doi:10.1111/j.1552-6569.2011.00585.x (2011) (Epub ahead of print).
  • Fisher SK, Novak JE, Agranoff BW. Inositol and higher inositol phosphates in neural tissues: homeostasis, metabolism and functional significance. J. Neurochem.82, 736–754 (2002).
  • Filippi M, Agosta F. Imaging biomarkers in multiple sclerosis. J. Magn. Reson. Imaging31(4), 770–788 (2010).
  • Khan O, Shen Y, Caon C et al. Axonal metabolic recovery and potential neuroprotective effect of glatiramer acetate in relapsing–remitting multiple sclerosis. Mult. Scler.11(6), 646–651 (2005).
  • Neema M, Goldberg-Zimring D, Guss ZD et al. 3 T MRI relaxometry detects T2 prolongation in the cerebral normal-appearing white matter in multiple sclerosis. Neuroimage46(3), 633–641 (2009).
  • Laule C, Vavasour IM, Kolind SH et al. Long T2 water in multiple sclerosis: what else can we learn from multi-echo T2 relaxation? J. Neurol.254(11), 1579–1587 (2007).
  • Owen DR, Piccini P, Matthews PM. Towards molecular imaging of multiple sclerosis. Mult. Scler.17(3), 262–272 (2011).
  • Kiferle L, Politis M, Muraro PA et al. Positron emission tomography imaging in multiple sclerosis-current status and future applications. Eur. J. Neurol.18(2), 226–231 (2011).
  • Oh U, Fujita M, Ikonomidou VN et al. Translocator protein PET imaging for glial activation in multiple sclerosis. J. Neuroimmune Pharmacol.6(3), 354–361 (2011).
  • Henry RG, Shieh M, Amirbekian B, Chung SW, Okuda DT, Pelletier D. Connecting white matter injury to thalamic atrophy in clinically isolated syndromes. J. Neurol. Sci.282(1–2), 61–66 (2009).
  • Zivadinov R, Reder AT, Filippi M et al. Mechanisms of action of disease-modifying agents and brain volume changes in multiple sclerosis. Neurology71(2), 136–144 (2008).
  • Hammond KE, Metcalf M, Carvajal L et al. Quantitative in vivo magnetic resonance imaging of multiple sclerosis at 7 tesla with sensitivity to iron. Ann. Neurol.64, 707–713 (2008).

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