Ultrahochfeld-MRT im Kontext neurologischer Erkrankungen
- 697 Downloads
- 2 Citations
Zusammenfassung
Die Ultrahochfeldmagnetresonanztomographie (UHF-MRT) rückt zunehmend in den Fokus des medizinischen Forschungsinteresses. Sie ermöglicht dank des exzellenten Signal-Rausch-Verhältnisses (SRV) bei Feldstärken ab 7 Tesla (T) eine Bildgebung mit hoher räumlicher Auflösung und verbesserten Kontrastmechanismen in vivo. Im Kontext neuroimmunologischer Erkrankungen wie der Multiplen Sklerose (MS), der Neuromyelitis optica (NMO) und des Susac-Syndroms ermöglicht die UHF-MRT eine detaillierte Einsicht in pathologische Prozesse z. B. hinsichtlich der Läsionsmorphologie und Venendichte. Des Weiteren können UHF-MRT-Biomarker wie die Sichtbarkeit einer zentralen Vene zunehmend zur differenzialdiagnostischen Unterscheidung dieser Krankheitsentitäten herangezogen werden. Bei vaskulären Erkrankungen zeichnet sich die UHF-MRT durch eine exzellente Darstellung normaler Gefäße, pathologischer Gefäßveränderungen und der Infarktmorphologie aus. Darüber hinaus können mithilfe der UHF-MRT im Bereich neurodegenerativer Erkrankungen neue diagnostische Marker definiert werden. Beispiele hierfür sind die Alterationen in der hippokampalen Formation bei Morbus Alzheimer und der Substantia nigra bei der Parkinson-Erkrankung. Bisherige Studien weisen jedoch Schwächen auf, wie geringe Fallzahlen, Selektionsbias oder verstärkte Neigung zu Bildartefakten. Ferner berücksichtigt das Studiendesgin vieler veröffentlichter Studien nicht die zunehmende klinische Bedeutung der Bildgebung bei einer Feldstärke von 3 T. Die Herausforderung der nahen Zukunft besteht darin, den bislang erzielten Erkenntnisgewinn, z. B. im Rahmen der Translation der Ergebnisse auf die 3-T-MRT, in der klinischen Routine zu etablieren. Langfristig ist die UHF-MRT als ein „high-end“-Diagnostikum bei sehr gezielten Fragestellungen denkbar, wenngleich diese neue Technologie aktuell nur einigen wenigen Forschungszentren zur Verfügung steht.
Das Potenzial der UHF-MRT in der modernen Diagnostik muss durch zukünftige Studien näher untersucht und ggf. für die moderne Medizin nutzbar gemacht werden.
Schlüsselwörter
Ultrahochfeld MRT 7 Tesla Multiple Sklerose Neurodegenerative Erkrankungen SchlaganfallAbkürzungsverzeichnis
- 3D TOF
3-D time-of-flight
- ALS
amyotrophe Lateralsklerose
- AQP4-AK
Aquaporin-4-Antikörper
- CCSVI
chronische zerebrospinale venöse Insuffizienz
- CIS
klinisch isoliertes Syndrom (clinically isolated syndrome)
- DIR
double inversion recovery
- DSA
digitale Subtraktionsangiographie
- EDSS
Expanded Disability Status Scale
- FLAIR
fluid attenuated inversion recovery
- HF
Hochfeld
- KL
kortikale Läsionen
- KM
Kontrastmittel
- LSA
lentikulostriatale Arterien
- MPG
Medizinproduktegesetz
- MPRAGE
magnetization prepared rapid gradient echo
- MRA
Magnetresonanzangiographie
- MRT
Magnetresonanztomographie
- MS
Multiple Sklerose
- NMO
Neuromyelitis optica
- NMOSD
Neuromyelitis-optica-Erkrankungsspektrum (neuromyelitis optica spectrum disorder)
- SAR
spezifische Absorptionsrate
- SRV
Signal-Rausch-Verhältnis
- T
Tesla
- UHF
Ultrahochfeld
- WML
Läsionen der weißen Hirnsubstanz (white matter lesions)
- ZNS
Zentralnervensystem
Ultrahigh field MRI in context of neurological diseases
Summary
Ultrahigh field magnetic resonance imaging (UHF-MRI) has recently gained substantial scientific interest. At field strengths of 7 Tesla (T) and higher UHF-MRI provides unprecedented spatial resolution due to an increased signal-to-noise ratio (SNR). The UHF-MRI method has been successfully applied in various neurological disorders. In neuroinflammatory diseases UHF-MRI has already provided a detailed insight into individual pathological disease processes and elucidated differential diagnoses of several disease entities, e.g. multiple sclerosis (MS), neuromyelitis optica (NMO) and Susac’s syndrome. The excellent depiction of normal blood vessels, vessel abnormalities and infarct morphology by UHF-MRI can be utilized in vascular diseases. Detailed imaging of the hippocampus in Alzheimer’s disease and the substantia nigra in Parkinson’s disease as well as sensitivity to iron depositions could be valuable in neurodegenerative diseases. Current UHF-MRI studies still suffer from small sample sizes, selection bias or propensity to image artefacts. In addition, the increasing clinical relevance of 3T-MRI has not been sufficiently appreciated in previous studies. Although UHF-MRI is only available at a small number of medical research centers it could provide a high-end diagnostic tool for healthcare optimization in the foreseeable future. The potential of UHF-MRI still has to be carefully validated by profound prospective research to define its place in future medicine.
Keywords
Ultrahigh field MRI 7 Tesla Multiple sclerosis Stroke Neurodegenerative diseaseNotes
Einhaltung ethischer Richtlinien
Interessenkonflikt. J. Wuerfel ist Mitglied eines Beratungsgremiums für Novartis Pharma GmbH und erhielt in der Vergangenheit Reiseunterstützungen von Bayer Vital GmbH, Novartis Pharma GmbH und Genzyme GmbH. T. Sinnecker erhielt innerhalb der letzten 2 Jahre eine Reiseunterstützung von Bayer. T. Niendorf ist Geschäftsführer der MRI.TOOLS GmbH. J. Dörr erhält finanzielle Unterstützung von Forschungsprojekten durch Novartis Pharma GmbH und Bayer Vital GmbH, Vortragshonorare von Novartis Pharma GmbH, Bayer Vital GmbH, Teva GmbH und Genzyme GmbH, Reisekostenunterstützung durch Novartis Pharma GmbH, Merck-Serono GmbH, Teva GmbH. F. Paul erhielt Honorare für Vorträge, Reisekostenunterstützung und finanzielle Unterstützung von Forschungsprojekten durch Teva/Sanofi-Aventis, Bayer Schering, Merck Serono, Biogen Idec, Novartis, Unterstützung von Forschungsprojekten und Reisekostenvergütung durch die Guthy-Jackson Charitable Foundation und durch das Bundesministerium für Bildung und Forschung (BMBF – Kompetenznetz Multiple Sklerose). J. Kuchling, I. Bozin, V.I. Madai und J. Sobesky: keine Angaben. Alle im vorliegenden Manuskript beschriebenen Untersuchungen am Menschen wurden mit Zustimmung der zuständigen Ethik-Kommission, im Einklang mit nationalem Recht sowie gemäß der Deklaration von Helsinki von 1975 (in der aktuellen, überarbeiteten Fassung) durchgeführt. Von allen beteiligten Patienten liegt eine Einverständniserklärung vor.
Literatur
- 1.Absinta M, Sati P, Gaitan MI et al (2013) Seven-tesla phase imaging of acute multiple sclerosis lesions: a new window into the inflammatory process. Ann Neurol. doi:10.1002/ana.23959Google Scholar
- 2.Al-Radaideh AM, Wharton SJ, Lim SY et al (2012) Increased iron accumulation occurs in the earliest stages of demyelinating disease: an ultra-high field susceptibility mapping study in clinically isolated syndrome. Mult Scler 19:896–903PubMedGoogle Scholar
- 3.Atkinson IC, Renteria L, Burd H et al (2007) Safety of human MRI at static fields above the FDA 8 T guideline: sodium imaging at 9.4 T does not affect vital signs or cognitive ability. J Magn Reson Imaging 26:1222–1227PubMedGoogle Scholar
- 4.Bagnato F, Salman Z, Kane R et al (2010) T1 cortical hypointensities and their association with cognitive disability in multiple sclerosis. Mult Scler 16:1203–1212PubMedGoogle Scholar
- 5.Baracchini C, Valdueza JM, Del Sette M et al (2012) CCSVI and MS: a statement from the European Society of neurosonology and cerebral hemodynamics. J Neurol 259:2585–2589PubMedGoogle Scholar
- 6.Barnett MH, Prineas JW, Buckland ME et al (2012) Massive astrocyte destruction in neuromyelitis optica despite natalizumab therapy. Mult Scler 18:108–112PubMedGoogle Scholar
- 7.Bermel RA, Bakshi R (2006) The measurement and clinical relevance of brain atrophy in multiple sclerosis. Lancet Neurol 5:158–170PubMedGoogle Scholar
- 8.Bian W, Harter K, Hammond-Rosenbluth KE et al (2012) A serial in vivo 7 T magnetic resonance phase imaging study of white matter lesions in multiple sclerosis. Mult Scler 19:69–75PubMedGoogle Scholar
- 9.Bichuetti DB, Oliveira EM, Souza NA et al (2009) Neuromyelitis optica in Brazil: a study on clinical and prognostic factors. Mult Scler 15:613–619PubMedGoogle Scholar
- 10.Bo L, Vedeler CA, Nyland H et al (2003) Intracortical multiple sclerosis lesions are not associated with increased lymphocyte infiltration. Mult Scler 9:323–331PubMedGoogle Scholar
- 11.Bo L, Vedeler CA, Nyland HI et al (2003) Subpial demyelination in the cerebral cortex of multiple sclerosis patients. J Neuropathol Exp Neurol 62:723–732PubMedGoogle Scholar
- 12.Brundel M, Heringa SM, De Bresser J et al (2012) High prevalence of cerebral microbleeds at 7 Tesla MRI in patients with early Alzheimer’s disease. J Alzheimers Dis 31:259–263PubMedGoogle Scholar
- 13.Calabrese M, Filippi M, Gallo P (2010) Cortical lesions in multiple sclerosis. Nat Rev Neurol 6:438–444PubMedGoogle Scholar
- 14.Chakeres DW, Bornstein R, Kangarlu A (2003) Randomized comparison of cognitive function in humans at 0 and 8 Tesla. J Magn Reson Imaging 18:342–345PubMedGoogle Scholar
- 15.Chang KH, Lyu RK, Chen CM et al (2013) Distinct features between longitudinally extensive transverse myelitis presenting with and without anti-Aquaporin 4 antibodies. Mult Scler 19:299–307PubMedGoogle Scholar
- 16.Cho ZH, Lee YB, Kang CK et al (2012) Microvascular imaging of asymptomatic MCA steno-occlusive patients using ultra-high-field 7 T MRI. J Neurol 260:144–150PubMedGoogle Scholar
- 17.Cho ZH, Oh SH, Kim JM et al (2011) Direct visualization of Parkinson’s disease by in vivo human brain imaging using 7.0 T magnetic resonance imaging. Mov Disord 26:713–718PubMedGoogle Scholar
- 18.Cohen-Adad J, Benner T, Greve D et al (2011) In vivo evidence of disseminated subpial T2* signal changes in multiple sclerosis at 7 T: a surface-based analysis. Neuroimage 57:55–62PubMedGoogle Scholar
- 19.Conijn MM, Geerlings MI, Biessels GJ et al (2011) Cerebral microbleeds on MR imaging: comparison between 1.5 and 7 T. AJNR Am J Neuroradiol 32:1043–1049PubMedGoogle Scholar
- 20.De Graaf WL, Kilsdonk ID, Lopez-Soriano A et al (2012) Clinical application of multi-contrast 7-T MR imaging in multiple sclerosis: increased lesion detection compared to 3 T confined to grey matter. Eur Radiol 23:528–540Google Scholar
- 21.Dixon JE, Simpson A, Mistry N et al (2011) Optimisation of T2*-weighted MRI for the detection of small veins in multiple sclerosis at 3 T and 7 T. Eur J Radiol 82:719–727PubMedGoogle Scholar
- 22.Doepp F, Paul F, Valdueza JM et al (2010) No cerebrocervical venous congestion in patients with multiple sclerosis. Ann Neurol 68:173–183PubMedGoogle Scholar
- 23.Doepp F, Wurfel JT, Pfueller CF et al (2011) Venous drainage in multiple sclerosis: a combined MRI and ultrasound study. Neurology 77:1745–1751PubMedGoogle Scholar
- 24.Dörr J, Jarius S, Wildemann B et al (2011) Susac syndrome: an interdisciplinary challenge. Nervenarzt 82:1250–1263PubMedGoogle Scholar
- 25.Dörr J, Krautwald S, Wildemann B et al (2013) Characteristics of Susac syndrome: a review of all reported cases. Nat Rev Neurol 9:307–316PubMedGoogle Scholar
- 26.Dörr J, Radbruch H, Bock M et al (2009) Encephalopathy, visual disturbance and hearing loss-recognizing the symptoms of Susac syndrome. Nat Rev Neurol 5:683–688PubMedGoogle Scholar
- 27.Dörr J, Wernecke KD, Bock M et al (2011) Association of retinal and macular damage with brain atrophy in multiple sclerosis. PLoS One 6:e18132PubMedCentralPubMedGoogle Scholar
- 28.Duyn JH, Van Gelderen P, Li TQ et al (2007) High-field MRI of brain cortical substructure based on signal phase. Proc Natl Acad Sci U S A 104:11796–11801PubMedCentralPubMedGoogle Scholar
- 29.Filippi M, Evangelou N, Kangarlu A et al (2013) Ultra-high-field MR imaging in multiple sclerosis. J Neurol Neurosurg Psychiatry 0:1–7. doi:10.1136/jnnp-2013-305246. 1305246Google Scholar
- 30.Ge Y, Zohrabian VM, Grossman RI (2008) Seven-Tesla magnetic resonance imaging: new vision of microvascular abnormalities in multiple sclerosis. Arch Neurol 65:812–816PubMedCentralPubMedGoogle Scholar
- 31.Geurts JJ, Pouwels PJ, Uitdehaag BM et al (2005) Intracortical lesions in multiple sclerosis: improved detection with 3D double inversion-recovery MR imaging. Radiology 236:254–260PubMedGoogle Scholar
- 32.Ghezzi A, Annovazzi P, Amato M et al (2013) Adverse events after endovascular treatment of chronic cerebro-spinal venous insufficiency (CCSVI) in patients with multiple sclerosis. Mult Scler 19:961–963PubMedGoogle Scholar
- 33.Granieri L, Marnetto F, Valentino P et al (2012) Evaluation of a multiparametric immunofluorescence assay for standardization of neuromyelitis optica serology. PLoS One 7:e38896PubMedCentralPubMedGoogle Scholar
- 34.Haacke EM, Brown RW, Thompson MR et al (1999) Magnetic resonance imaging: physical principles and sequence design. Wiley, United States of America, p 378Google Scholar
- 35.Hammond KE, Lupo JM, Xu D et al (2008) Development of a robust method for generating 7.0 T multichannel phase images of the brain with application to normal volunteers and patients with neurological diseases. Neuroimage 39:1682–1692PubMedCentralPubMedGoogle Scholar
- 36.Hammond KE, Metcalf M, Carvajal L et al (2008) Quantitative in vivo magnetic resonance imaging of multiple sclerosis at 7 Tesla with sensitivity to iron. Ann Neurol 64:707–713PubMedGoogle Scholar
- 37.Holland GN, Moore WS, Hawkes RC (1980) Nuclear magnetic resonance tomography of the brain. J Comput Assist Tomogr 4:1–3PubMedGoogle Scholar
- 38.Jacob A, Hutchinson M, Elsone L et al (2012) Does natalizumab therapy worsen neuromyelitis optica? Neurology 79:1065–1066PubMedGoogle Scholar
- 39.Jarernsook B, Siritho S, Prayoonwiwat N (2012) Efficacy and safety of beta-interferon in Thai patients with demyelinating diseases. Mult Scler 19:585–592PubMedGoogle Scholar
- 40.Jarius S, Franciotta D, Paul F et al (2012) Testing for antibodies to human aquaporin-4 by ELISA: sensitivity, specificity, and direct comparison with immunohistochemistry. J Neurol Sci 320:32–37PubMedGoogle Scholar
- 41.Jarius S, Neumayer B, Wandinger KP et al (2009) Anti-endothelial serum antibodies in a patient with Susac’s syndrome. J Neurol Sci 285:259–261PubMedGoogle Scholar
- 42.Jarius S, Paul F, Franciotta D et al (2008) Mechanisms of disease: aquaporin-4 antibodies in neuromyelitis optica. Nat Clin Pract Neurol 4:202–214PubMedGoogle Scholar
- 43.Jarius S, Ruprecht K, Wildemann B et al (2012) Contrasting disease patterns in seropositive and seronegative neuromyelitis optica: a multicentre study of 175 patients. J Neuroinflammation 9:14PubMedCentralPubMedGoogle Scholar
- 44.Kalincik T, Vaneckova M, Tyblova M et al (2012) Volumetric MRI markers and predictors of disease activity in early multiple sclerosis: a longitudinal cohort study. PLoS One 7:e50101PubMedCentralPubMedGoogle Scholar
- 45.Kang CK, Park CA, Lee H et al (2009) Hypertension correlates with lenticulostriate arteries visualized by 7 T magnetic resonance angiography. Hypertension 54:1050–1056PubMedGoogle Scholar
- 46.Kang CK, Park CA, Park CW et al (2010) Lenticulostriate arteries in chronic stroke patients visualised by 7 T magnetic resonance angiography. Int J Stroke 5:374–380PubMedGoogle Scholar
- 47.Kang CK, Park CW, Han JY et al (2009) Imaging and analysis of lenticulostriate arteries using 7.0-Tesla magnetic resonance angiography. Magn Reson Med 61:136–144PubMedGoogle Scholar
- 48.Keevil SF (2012) Physics and medicine: a historical perspective. Lancet 379:1517–1524PubMedGoogle Scholar
- 49.Kerchner GA (2011) Ultra-high field 7 T MRI: a new tool for studying Alzheimer’s disease. J Alzheimers Dis 26(Suppl 3):91–95PubMedGoogle Scholar
- 50.Kerchner GA, Deutsch GK, Zeineh M et al (2012) Hippocampal CA1 apical neuropil atrophy and memory performance in Alzheimer’s disease. Neuroimage 63:194–202PubMedCentralPubMedGoogle Scholar
- 51.Kerchner GA, Hess CP, Hammond-Rosenbluth KE et al (2010) Hippocampal CA1 apical neuropil atrophy in mild Alzheimer disease visualized with 7-T MRI. Neurology 75:1381–1387PubMedCentralPubMedGoogle Scholar
- 52.Kilsdonk ID, De Graaf WL, Lopez Soriano A et al (2012) Multicontrast MR imaging at 7 T in multiple sclerosis: highest lesion detection in cortical gray matter with 3D-FLAIR. AJNR Am J Neuroradiol 34:791–796PubMedGoogle Scholar
- 53.Kim SH, Kim W, Li XF et al (2012) Does interferon beta treatment exacerbate neuromyelitis optica spectrum disorder? Mult Scler 18:1480–1483PubMedGoogle Scholar
- 54.Kister I, Herbert J, Zhou Y et al (2013) Ultrahigh-field MR (7 T) imaging of brain lesions in neuromyelitis optica. Mult Scler Int 2013:398259PubMedCentralPubMedGoogle Scholar
- 55.Kleffner I, Duning T, Lohmann H et al (2012) A brief review of Susac syndrome. J Neurol Sci 322:35–40PubMedGoogle Scholar
- 56.Kleiter I, Hellwig K, Berthele A et al (2012) Failure of natalizumab to prevent relapses in neuromyelitis optica. Arch Neurol 69:239–245PubMedGoogle Scholar
- 57.Kollia K, Maderwald S, Putzki N et al (2009) First clinical study on ultra-high-field MR imaging in patients with multiple sclerosis: comparison of 1.5 T and 7 T. AJNR Am J Neuroradiol 30:699–702PubMedGoogle Scholar
- 58.Korteweg T, Tintore M, Uitdehaag BM et al (2009) A search for new MRI criteria for dissemination in space in subjects with a clinically isolated syndrome. Eur Radiol 19:2244–2248PubMedCentralPubMedGoogle Scholar
- 59.Kutzelnigg A, Lucchinetti CF, Stadelmann C et al (2005) Cortical demyelination and diffuse white matter injury in multiple sclerosis. Brain 128:2705–2712PubMedGoogle Scholar
- 60.Kwan JY, Jeong SY, Van Gelderen P et al (2012) Iron accumulation in deep cortical layers accounts for MRI signal abnormalities in ALS: correlating 7 Tesla MRI and pathology. PLoS One 7:e35241PubMedCentralPubMedGoogle Scholar
- 61.Kwon DH, Kim JM, Oh SH et al (2012) Seven-Tesla magnetic resonance images of the substantia nigra in Parkinson disease. Ann Neurol 71:267–277PubMedGoogle Scholar
- 62.Leone MA, Raymkulova O, Naldi P et al (2013) Chronic cerebrospinal venous insufficiency is not associated with multiple sclerosis and its severity: a blind-verified study. PLoS One 8:e56031PubMedCentralPubMedGoogle Scholar
- 63.Lim BC, Hwang H, Kim KJ et al (2011) Relapsing demyelinating CNS disease in a Korean pediatric population: multiple sclerosis versus neuromyelitis optica. Mult Scler 17:67–73PubMedGoogle Scholar
- 64.Lu Z, Zhang B, Qiu W et al (2011) Comparative brain stem lesions on MRI of acute disseminated encephalomyelitis, neuromyelitis optica, and multiple sclerosis. PLoS One 6:e22766PubMedCentralPubMedGoogle Scholar
- 65.Lukas C, Minneboo A, De Groot V et al (2010) Early central atrophy rate predicts 5 year clinical outcome in multiple sclerosis. J Neurol Neurosurg Psychiatry 81:1351–1356PubMedGoogle Scholar
- 66.Madai VI, Von Samson-Himmelstjerna FC, Bauer M et al (2012) Ultrahigh-field MRI in human ischemic stroke – a 7 Tesla study. PLoS One 7:e37631PubMedCentralPubMedGoogle Scholar
- 67.Mader S, Lutterotti A, Di Pauli F et al (2010) Patterns of antibody binding to aquaporin-4 isoforms in neuromyelitis optica. PLoS One 5:e10455PubMedCentralPubMedGoogle Scholar
- 68.Maderwald S, Ladd SC, Gizewski ER et al (2008) To TOF or not to TOF: strategies for non-contrast-enhanced intracranial MRA at 7 T. MAGMA 21:159–167PubMedGoogle Scholar
- 69.Magliozzi R, Howell O, Vora A et al (2007) Meningeal B-cell follicles in secondary progressive multiple sclerosis associate with early onset of disease and severe cortical pathology. Brain 130:1089–1104PubMedGoogle Scholar
- 70.Mainero C, Benner T, Radding A et al (2009) In vivo imaging of cortical pathology in multiple sclerosis using ultra-high field MRI. Neurology 73:941–948PubMedCentralPubMedGoogle Scholar
- 71.Matsushita T, Isobe N, Piao H et al (2010) Reappraisal of brain MRI features in patients with multiple sclerosis and neuromyelitis optica according to anti-aquaporin-4 antibody status. J Neurol Sci 291:37–43PubMedGoogle Scholar
- 72.Metcalf M, Xu D, Okuda DT et al (2010) High-resolution phased-array MRI of the human brain at 7 tesla: initial experience in multiple sclerosis patients. J Neuroimaging 20:141–147PubMedCentralPubMedGoogle Scholar
- 73.Min JH, Kim BJ, Lee KH (2012) Development of extensive brain lesions following fingolimod (FTY720) treatment in a patient with neuromyelitis optica spectrum disorder. Mult Scler 18:113–115PubMedGoogle Scholar
- 74.Mistry N, Dixon J, Tallantyre E et al (2013) Central veins in brain lesions visualized with high-field magnetic resonance imaging: a pathologically specific diagnostic biomarker for inflammatory demyelination in the brain. JAMA Neurol 70:623–628PubMedGoogle Scholar
- 75.Mistry N, Tallantyre EC, Dixon JE et al (2011) Focal multiple sclerosis lesions abound in ‚normal appearing white matter’. Mult Scler 17:1313–1323PubMedGoogle Scholar
- 76.Moller HE, Von Cramon DY (2008) Survey of risks related to static magnetic fields in ultra high field MRI. Rofo 180:293–301PubMedGoogle Scholar
- 77.Mönninghoff C, Ladd ME, Forsting M (2013) 7-Tesla-MRT in der Neuroradiologie – Möglichkeiten und Perspektiven. Nervenheilkunde 32:485–492Google Scholar
- 78.Moser E, Stahlberg F, Ladd ME et al (2012) 7-T MR – from research to clinical applications? NMR Biomed 25:695–716PubMedGoogle Scholar
- 79.Nelson F, Datta S, Garcia N et al (2011) Intracortical lesions by 3 T magnetic resonance imaging and correlation with cognitive impairment in multiple sclerosis. Mult Scler 17:1122–1129PubMedCentralPubMedGoogle Scholar
- 80.Novak V, Abduljalil A, Kangarlu A et al (2001) Intracranial ossifications and microangiopathy at 8 Tesla MRI. Magn Reson Imaging 19:1133–1137PubMedGoogle Scholar
- 81.Novak V, Abduljalil AM, Novak P et al (2005) High-resolution ultrahigh-field MRI of stroke. Magn Reson Imaging 23:539–548PubMedCentralPubMedGoogle Scholar
- 82.Novak V, Kangarlu A, Abduljalil A et al (2001) Ultra high field MRI at 8 Tesla of subacute hemorrhagic stroke. J Comput Assist Tomogr 25:431–435PubMedGoogle Scholar
- 83.Palace J, Leite MI, Nairne A et al (2010) Interferon Beta treatment in neuromyelitis optica: increase in relapses and aquaporin 4 antibody titers. Arch Neurol 67:1016–1017PubMedGoogle Scholar
- 84.Paul F (2013) Hope for a rare disease: eculizumab in neuromyelitis optica. Lancet Neurol 12:529–531PubMedGoogle Scholar
- 85.Paul F, Jarius S, Aktas O et al (2007) Antibody to aquaporin 4 in the diagnosis of neuromyelitis optica. PLoS Med 4:e133PubMedCentralPubMedGoogle Scholar
- 86.Paul F, Wattjes MP (2013) Chronic cerebrospinal venous insufficiency in multiple sclerosis: the final curtain. Lancet. doi:10.1016/S0140-6736(13)61912-1Google Scholar
- 87.Pittock SJ, Lennon VA, Krecke K et al (2006) Brain abnormalities in neuromyelitis optica. Arch Neurol 63:390–396PubMedGoogle Scholar
- 88.Pittock SJ, Lennon VA, Mckeon A et al (2013) Eculizumab in AQP4-IgG-positive relapsing neuromyelitis optica spectrum disorders: an open-label pilot study. Lancet Neurol 12:554–562PubMedGoogle Scholar
- 89.Popescu BF, Parisi JE, Cabrera-Gomez JA et al (2010) Absence of cortical demyelination in neuromyelitis optica. Neurology 75:2103–2109PubMedCentralPubMedGoogle Scholar
- 90.Ratelade J, Bennett JL, Verkman AS (2011) Intravenous neuromyelitis optica autoantibody in mice targets aquaporin-4 in peripheral organs and area postrema. PLoS One 6:e27412PubMedCentralPubMedGoogle Scholar
- 91.Rennebohm RM, Egan RA, Susac JO (2008) Treatment of Susac’s syndrome. Curr Treat Options Neurol 10:67–74PubMedGoogle Scholar
- 92.Rinaldi F, Calabrese M, Grossi P et al (2010) Cortical lesions and cognitive impairment in multiple sclerosis. Neurol Sci 31:S235–S237PubMedGoogle Scholar
- 93.Rolak LA, Fleming JO (2007) The differential diagnosis of multiple sclerosis. Neurologist 13:57–72PubMedGoogle Scholar
- 94.Sati P, George IC, Shea CD et al (2012) FLAIR*: a combined MR contrast technique for visualizing white matter lesions and parenchymal veins. Radiology 265:926–932PubMedCentralPubMedGoogle Scholar
- 95.Sbardella E, Tomassini V, Stromillo ML et al (2011) Pronounced focal and diffuse brain damage predicts short-term disease evolution in patients with clinically isolated syndrome suggestive of multiple sclerosis. Mult Scler 17:1432–1440PubMedGoogle Scholar
- 96.Shiee N, Bazin PL, Zackowski KM et al (2012) Revisiting brain atrophy and its relationship to disability in multiple sclerosis. PLoS One 7:e37049PubMedCentralPubMedGoogle Scholar
- 97.Shimizu J, Hatanaka Y, Hasegawa M et al (2010) IFNbeta-1b may severely exacerbate Japanese optic-spinal MS in neuromyelitis optica spectrum. Neurology 75:1423–1427PubMedGoogle Scholar
- 98.Sinnecker T, Bozin I, Dörr J et al (2012) Periventricular venous density in multiple sclerosis is inversely associated with T2 lesion count: a 7 Tesla MRI study. Mult Scler 19:316–325PubMedGoogle Scholar
- 99.Sinnecker T, Dörr J, Pfueller CF et al (2012) Distinct lesion morphology at 7-T MRI differentiates neuromyelitis optica from multiple sclerosis. Neurology 79:708–714PubMedGoogle Scholar
- 100.Sinnecker T, Mittelstaedt P, Dörr J et al (2012) Multiple sclerosis lesions and irreversible brain tissue damage: a comparative ultrahigh-field strength magnetic resonance imaging study. Arch Neurol 69:739–745PubMedGoogle Scholar
- 101.Sobesky J (2012) New insights into vascular pathology by ultrahigh-field magnetic resonance imaging. J Cereb Blood Flow Metab 33:321PubMedCentralPubMedGoogle Scholar
- 102.Sormani M, Stromillo ML, Battaglini M et al (2012) Modelling the distribution of cortical lesions in multiple sclerosis. Mult Scler 18:229–231PubMedGoogle Scholar
- 103.Susac JO, Hardman JM, Selhorst JB (1979) Microangiopathy of the brain and retina. Neurology 29:313–316PubMedGoogle Scholar
- 104.Tallantyre EC, Brookes MJ, Dixon JE et al (2008) Demonstrating the perivascular distribution of MS lesions in vivo with 7-Tesla MRI. Neurology 70:2076–2078PubMedGoogle Scholar
- 105.Tallantyre EC, Dixon JE, Donaldson I et al (2011) Ultra-high-field imaging distinguishes MS lesions from asymptomatic white matter lesions. Neurology 76:534–539PubMedCentralPubMedGoogle Scholar
- 106.Tallantyre EC, Morgan PS, Dixon JE et al (2009) A comparison of 3 T and 7 T in the detection of small parenchymal veins within MS lesions. Invest Radiol 44:491–494PubMedGoogle Scholar
- 107.Tallantyre EC, Morgan PS, Dixon JE et al (2010) 3 Tesla and 7 Tesla MRI of multiple sclerosis cortical lesions. J Magn Reson Imaging 32:971–977PubMedGoogle Scholar
- 108.Tardif CL, Bedell BJ, Eskildsen SF et al (2012) Quantitative magnetic resonance imaging of cortical multiple sclerosis pathology. Mult Scler Int 2012:742018PubMedCentralPubMedGoogle Scholar
- 109.Theysohn JM, Maderwald S, Kraff O et al (2008) Subjective acceptance of 7 Tesla MRI for human imaging. MAGMA 21:63–72PubMedGoogle Scholar
- 110.Traboulsee AL, Knox KB, Machan L et al (2013) Prevalence of extracranial venous narrowing on catheter venography in people with multiple sclerosis, their siblings, and unrelated healthy controls: a blinded, case-control study. Lancet. DOI 10.1016/S0140-6736(13)61747-XGoogle Scholar
- 111.Trebst C, Berthele A, Jarius S et al (2011) Diagnosis and treatment of neuromyelitis optica. Consensus recommendations of the Neuromyelitis Optica Study Group. Nervenarzt 82:768–777PubMedGoogle Scholar
- 112.Umutlu L, Theysohn N, Maderwald S et al (2013) 7 Tesla MPRAGE imaging of the intracranial arterial vasculature: nonenhanced versus contrast-enhanced. Acad Radiol 20:628–634PubMedGoogle Scholar
- 113.Uzawa A, Mori M, Hayakawa S et al (2010) Different responses to interferon beta-1b treatment in patients with neuromyelitis optica and multiple sclerosis. Eur J Neurol 17:672–676PubMedGoogle Scholar
- 114.Valdueza JM, Doepp F, Schreiber SJ et al (2013) What went wrong? The flawed concept of cerebrospinal venous insufficiency. J Cereb Blood Flow Metab 33:657–668PubMedCentralPubMedGoogle Scholar
- 115.Van Den Berg PJ, Van Den Berg GB, Westerhuis LW et al (2013) Occurrence of CCSVI in patients with MS and its relationship with iron metabolism and varicose veins. Eur J Neurol 20:519–526Google Scholar
- 116.Van Der Kolk AG, Hendrikse J, Brundel M et al (2013) Multi-sequence whole-brain intracranial vessel wall imaging at 7.0 tesla. Eur Radiol 23:2996–3004Google Scholar
- 117.Van Der Kolk AG, Zwanenburg JJ, Brundel M et al (2011) Intracranial vessel wall imaging at 7.0-T MRI. Stroke 42:2478–2484Google Scholar
- 118.Van Veluw SJ, Zwanenburg JJ, Engelen-Lee J et al (2012) In vivo detection of cerebral cortical microinfarcts with high-resolution 7 T MRI. J Cereb Blood Flow Metab 33:322–329Google Scholar
- 119.Warabi Y, Matsumoto Y, Hayashi H (2007) Interferon beta-1b exacerbates multiple sclerosis with severe optic nerve and spinal cord demyelination. J Neurol Sci 252:57–61PubMedGoogle Scholar
- 120.Wildemann B, Jarius S, Paul F (2013) Neuromyelitis optica. Nervenarzt 84:436–441PubMedGoogle Scholar
- 121.Wingerchuk DM, Lennon VA, Pittock SJ et al (2006) Revised diagnostic criteria for neuromyelitis optica. Neurology 66:1485–1489PubMedGoogle Scholar
- 122.Wingerchuk DM, Pittock SJ, Lucchinetti CF et al (2007) A secondary progressive clinical course is uncommon in neuromyelitis optica. Neurology 68:603–605PubMedGoogle Scholar
- 123.Wuerfel J, Sinnecker T, Ringelstein EB et al (2012) Lesion morphology at 7 Tesla MRI differentiates Susac syndrome from multiple sclerosis. Mult Scler 18:1592–1599PubMedGoogle Scholar
- 124.Yablonskiy DA, Luo J, Sukstanskii AL et al (2012) Biophysical mechanisms of MRI signal frequency contrast in multiple sclerosis. Proc Natl Acad Sci U S A 109:14212–14217PubMedCentralPubMedGoogle Scholar
- 125.Yao B, Li TQ, Gelderen P et al (2009) Susceptibility contrast in high field MRI of human brain as a function of tissue iron content. Neuroimage 44:1259–1266PubMedCentralPubMedGoogle Scholar
- 126.Zimmermann H, Freing A, Kaufhold F et al (2012) Optic neuritis interferes with optical coherence tomography and magnetic resonance imaging correlations. Mult Scler 19:443–450PubMedGoogle Scholar
- 127.Zivadinov R, Tekwe C, Bergsland N et al (2013) Bimonthly evolution of cortical atrophy in early relapsing-remitting multiple sclerosis over 2 years: a longitudinal study. Mult Scler Int 2013:231345PubMedCentralPubMedGoogle Scholar
- 128.Zwanenburg JJ, Hendrikse J, Takahara T et al (2008) MR angiography of the cerebral perforating arteries with magnetization prepared anatomical reference at 7 T: comparison with time-of-flight. J Magn Reson Imaging 28:1519–1526PubMedGoogle Scholar