Phase white matter signal abnormalities in patients with clinically isolated syndrome and other neurologic disorders

American Journal of Neuroradiology

Volumn 35, Issue 10, 2014, Pages 1916-1923

  Hagemeier, J ^a   Heininen Brown, M ^a   Gabelic, T ^a,b,c   Guttuso, T ^b   Silvestri, N ^b   Lichter, D ^b   Fugoso, L E ^b   Bergsland, N ^a,d   Carl, E ^a   Geurts, J J G ^e   Weinstock Guttman, B ^b   Zivadinov, R ^a,b  

^a UNIVERSITY AT BUFFALO   (United States)

^b UNIVERSITY AT BUFFALO   (United States)

^c KBC Zagreb   (Croatia)

^d IRCCS FONDAZIONE DON CARLO GNOCCHI   (Italy)

^e VU UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; AUTOIMMUNE DISEASE; BRAIN DISEASE; BRAIN SIZE; CONTROLLED STUDY; DEMYELINATING DISEASE; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; DIFFERENTIAL DIAGNOSIS; DISEASE DURATION; EXPANDED DISABILITY STATUS SCALE; FEMALE; FOLLOW UP; GRAY MATTER; HUMAN; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; LATERAL BRAIN VENTRICLE; MAJOR CLINICAL STUDY; MALE; MULTIPLE SCLEROSIS; NEUROIMAGING; NEUROLOGIC DISEASE; NUCLEAR MAGNETIC RESONANCE SCANNER; PREVALENCE; SENSITIVITY AND SPECIFICITY; SUSCEPTIBILITY WEIGHTED IMAGING; WHITE MATTER; WHITE MATTER LESION; WHITE MATTER SIGNAL ABNORMALIY; AGED; DEMYELINATING DISEASES; LEUKOARAIOSIS; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROCEDURES;

ADULT; AGED; DEMYELINATING DISEASES; FEMALE; FOLLOW-UP STUDIES; HUMANS; LEUKOARAIOSIS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MULTIPLE SCLEROSIS; PREVALENCE; SENSITIVITY AND SPECIFICITY; WHITE MATTER;

EID: 84907772569     PISSN: 01956108     EISSN: 1936959X     Source Type: Journal    
DOI: 10.3174/ajnr.A3969     Document Type: Article

References (37)

1. Poloni G, Minagar A, Haacke EM, et al. Recent developments in imaging of multiple sclerosis. Neurologist 2011;17:185-204
2. Filippi M, Rocca MA, De Stefano N, et al. Magnetic resonance techniques in multiple sclerosis: the present and the future. Arch Neurol 2011;68:1514-20
3. Barkhof F. The clinico-radiological paradox in multiple sclerosis revisited. Curr Opin Neurol 2002;15:239-45
4. Barkhof F. MRI in multiple sclerosis: correlation with Expanded Disability Status Scale (EDSS). Mult Scler 1999;5:283-86
5. Miller DH, Barkhof F, Nauta JJ. Gadolinium enhancement increases the sensitivity of MRI in detecting disease activity in multiple sclerosis. Brain 1993;116(pt 5):1077-94
6. Rovaris M, Holtmannspotter M, Rocca MA, et al. Contribution of cervical cord MRI and brain magnetization transfer imaging to the assessment of individual patients with multiple sclerosis: a preliminary study. Mult Scler 2002;8:52-58
7. Polman CH, Reingold SC, Banwell B, et al. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 2011;69:292-302
8. Govoni M, Castellino G, Padovan M, et al. Recent advances and future perspective in neuroimaging in neuropsychiatric systemic lupus erythematosus. Lupus 2004;13:149-58
9. Triulzi F, Scotti G. Differential diagnosis of multiple sclerosis: contribution of magnetic resonance techniques. J Neurol Neurosurg Psychiatry 1998;64(suppl 1):S6-14
10. Zivadinov R, Bergsland N, Stosic M, et al. Use of perfusion-and diffusion-weighted imaging in differential diagnosis of acute and chronic ischemic stroke and multiple sclerosis. Neurol Res 2008;30:816-26
11. Yao B, Bagnato F, Matsuura E, et al. Chronic multiple sclerosis lesions: characterization with high-field-strengthMRimaging. Radiology 2012;262:206-15
12. Hagemeier J, Heininen-Brown M, Poloni GU, et al. Iron deposition in multiple sclerosis lesions measured by susceptibility-weighted imaging filtered phase: a case control study. J Magn Reson Imaging 2012;36:73-83
13. Bian W, Harter K, Hammond-Rosenbluth KE, et al. A serial in vivo 7T magnetic resonance phase imaging study of white matter lesions in multiple sclerosis. Mult Scler 2013;19:69-75
14. Haacke EM, Makki M, Ge Y, et al. Characterizing iron deposition in multiple sclerosis lesions using susceptibility weighted imaging. J Magn Reson Imaging 2009;29:537-44
15. Zivadinov R, Heininen-Brown M, Schirda CV, et al. Abnormal subcortical deep-gray matter susceptibility-weighted imaging filtered phase measurements in patients with multiple sclerosis: a case-control study. Neuroimage 2012;59:331-39
16. Langkammer C, Krebs N, Goessler W, et al. Susceptibility induced gray-white matter MRI contrast in the human brain. Neuroimage 2012;59:1413-19
17. Yablonskiy DA, Luo J, Sukstanskii AL, et al. Biophysical mechanisms of MRI signal frequency contrast in multiple sclerosis. Proc Natl Acad Sci U S A 2012;109:14212-17
18. Schweser F, Deistung A, Lehr BW, et al. Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: an approach to in vivo brain iron metabolism? Neuroimage 2011;54:2789-807
19. Hagemeier J, Geurts JJ, Zivadinov R. Brain iron accumulation in aging and neurodegenerative disorders. Expert Rev Neurother 2012;12:1467-80
20. Wiggermann V, Hernandez Torres E, Vavasour IM, et al. Magnetic resonance frequency shifts during acuteMSlesion formation. Neurology 2013;81:211-18
21. Craelius W, Migdal MW, Luessenhop CP, et al. Iron deposits surrounding multiple sclerosis plaques. Arch Pathol Lab Med 1982;106:397-99
22. Ferguson B, Matyszak MK, Esiri MM, et al. Axonal damage in acute multiple sclerosis lesions. Brain 1997;120(pt 3):393-99
23. Trapp BD, Ransohoff R, Rudick R. Axonal pathology in multiple sclerosis: relationship to neurologic disability. Curr Opin Neurol 1999;12:295-302
24. Grabner G, Dal-Bianco A, Schernthaner M, et al. Analysis of multiple sclerosis lesions using a fusion of 3.0 T FLAIR and 7.0 T SWI phase: FLAIR SWI. J Magn Reson Imaging 2011;33:543-49
25. Nathoo N, Agrawal S, Wu Y, et al. Susceptibility-weighted imaging in the experimental autoimmune encephalomyelitis model of multiple sclerosis indicates elevated deoxyhemoglobin, iron deposition and demyelination. Mult Scler 2013;19:721-31
26. O'Connor K, Weinstock-Guttman B, Carl E, et al. Patterns of dietary and herbal supplement use by multiple sclerosis patients. J Neurol 2012;259:637-44
27. Foster M, Zivadinov R, Weinstock-Guttman B, et al. Associations of moderate alcohol consumption with clinical and MRI measures in multiple sclerosis. J Neuroimmunol 2012;243:61-68
28. Jenkinson M, Smith S. A global optimisation method for robust affine registration of brain images. Med Image Anal 2001;5:143-56
29. Zivadinov R, Rudick RA, De Masi R, et al. Effects of IV methylprednisolone on brain atrophy in relapsing-remitting MS. Neurology 2001;57:1239-47
30. Polman CH, Reingold SC, Edan G, et al. Diagnostic criteria for multiple sclerosis: 2005 revisions to the "McDonald criteria." Ann Neurol 2005;58:840-46
31. Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society Series B (Methodological) 1995;57:289-300
32. Mehta V, Pei W, Yang G, et al. Iron is a sensitive biomarker for inflammation in multiple sclerosis lesions. PLoS One 2013;8:e57573
33. Eissa A, Lebel RM, Korzan JR, et al. Detecting lesions in multiple sclerosis at 4.7 Tesla using phase susceptibility-weighting and T2-weighting. J Magn Reson Imaging 2009;30:737-42
34. Rovaris M, Filippi M. Diffusion tensor MRI in multiple sclerosis. J Neuroimaging 2007;17(suppl 1):27S-30S
35. Richards TL. ProtonMRspectroscopy in multiple sclerosis: value in establishing diagnosis, monitoring progression, and evaluating therapy. AJR Am J Roentgenol 1991;157:1073-78
36. Tan IL, van Schijndel RA, Pouwels PJ, et al. MR venography of multiple sclerosis. AJNR Am J Neuroradiol 2000;21:1039-42
37. Tallantyre EC, Morgan PS, Dixon JE, et al. A comparison of 3T and 7T in the detection of small parenchymal veins within MS lesions. Invest Radiol 2009;44:491-94