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Research ArticleAdult Brain
Open Access

Combining Quantitative Susceptibility Mapping with Automatic Zero Reference (QSM0) and Myelin Water Fraction Imaging to Quantify Iron-Related Myelin Damage in Chronic Active MS Lesions

Y. Yao, T.D. Nguyen, S. Pandya, Y. Zhang, S. Hurtado Rúa, I. Kovanlikaya, A. Kuceyeski, Z. Liu, Y. Wang and S.A. Gauthier
American Journal of Neuroradiology February 2018, 39 (2) 303-310; DOI: https://doi.org/10.3174/ajnr.A5482
Y. Yao
aFrom the Department of Radiology (Y.Y., Y.Z.), Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
bDepartments of Radiology (Y.Y., T.D.N., S.P., I.K., A.K., Z.L., Y.W.)
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T.D. Nguyen
bDepartments of Radiology (Y.Y., T.D.N., S.P., I.K., A.K., Z.L., Y.W.)
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S. Pandya
bDepartments of Radiology (Y.Y., T.D.N., S.P., I.K., A.K., Z.L., Y.W.)
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Y. Zhang
aFrom the Department of Radiology (Y.Y., Y.Z.), Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
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S. Hurtado Rúa
dDepartment of Mathematics (S.H.R.), Cleveland State University, Cleveland, Ohio
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I. Kovanlikaya
bDepartments of Radiology (Y.Y., T.D.N., S.P., I.K., A.K., Z.L., Y.W.)
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A. Kuceyeski
bDepartments of Radiology (Y.Y., T.D.N., S.P., I.K., A.K., Z.L., Y.W.)
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Z. Liu
bDepartments of Radiology (Y.Y., T.D.N., S.P., I.K., A.K., Z.L., Y.W.)
eDepartment of Biomedical Engineering (Z.L., Y.W.), Cornell University, Ithaca, New York.
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Y. Wang
bDepartments of Radiology (Y.Y., T.D.N., S.P., I.K., A.K., Z.L., Y.W.)
eDepartment of Biomedical Engineering (Z.L., Y.W.), Cornell University, Ithaca, New York.
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S.A. Gauthier
cNeurology (S.A.G.), Weill Cornell Medicine, New York, New York
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References

  1. 1.↵
    1. Bagnato F,
    2. Hametner S,
    3. Yao B, et al
    . Tracking iron in multiple sclerosis: a combined imaging and histopathological study at 7 Tesla. Brain 2011;134:3602–15 doi:10.1093/brain/awr278 pmid:22171355
    CrossRefPubMed
  2. 2.↵
    1. Stephenson E,
    2. Nathoo N,
    3. Mahjoub Y, et al
    . Iron in multiple sclerosis: roles in neurodegeneration and repair. Nat Rev Neurol 2014;10:459–68 doi:10.1038/nrneurol.2014.118 pmid:25002107
    CrossRefPubMed
  3. 3.↵
    1. Dal-Bianco A,
    2. Grabner G,
    3. Kronnerwetter C, et al
    . Slow expansion of multiple sclerosis iron rim lesions: pathology and 7 T magnetic resonance imaging. Acta Neuropathol 2017;133:25–42 doi:10.1007/s00401-016-1636-z pmid:27796537
    CrossRefPubMed
  4. 4.↵
    1. Absinta M,
    2. Sati P,
    3. Schindler M, et al
    . Persistent 7-Tesla phase rim predicts poor outcome in new multiple sclerosis patient lesions. J Clin Invest 2016;126:2597–609 doi:10.1172/JCI86198 pmid:27270171
    CrossRefPubMed
  5. 5.↵
    1. Cairo G,
    2. Recalcati S,
    3. Mantovani A, et al
    . Iron trafficking and metabolism in macrophages: contribution to the polarized phenotype. Trends Immunol 2011;32:241–47 doi:10.1016/j.it.2011.03.007 pmid:21514223
    CrossRefPubMedWeb of Science
  6. 6.↵
    1. Langkammer C,
    2. Schweser F,
    3. Krebs N, et al
    . Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study. Neuroimage 2012;62:1593–99 doi:10.1016/j.neuroimage.2012.05.049 pmid:22634862
    CrossRefPubMed
  7. 7.↵
    1. Hammond KE,
    2. Metcalf M,
    3. Carvajal L, et al
    . Quantitative in vivo magnetic resonance imaging of multiple sclerosis at 7 Tesla with sensitivity to iron. Ann Neurol 2008;64:707–13 doi:10.1002/ana.21582 pmid:19107998
    CrossRefPubMedWeb of Science
  8. 8.↵
    1. Yao B,
    2. Ikonomidou VN,
    3. Cantor FK, et al
    . Heterogeneity of multiple sclerosis white matter lesions detected with T2*-weighted imaging at 7.0 Tesla. J Neuroimaging 2015;25:799–806 doi:10.1111/jon.12193 pmid:25657078
    CrossRefPubMed
  9. 9.↵
    1. Mehta V,
    2. Pei W,
    3. Yang G, et al
    . Iron is a sensitive biomarker for inflammation in multiple sclerosis lesions. PLoS One 2013;8:e57573 doi:10.1371/journal.pone.0057573 pmid:23516409
    CrossRefPubMed
  10. 10.↵
    1. Haacke EM,
    2. Makki M,
    3. Ge Y, et al
    . Characterizing iron deposition in multiple sclerosis lesions using susceptibility weighted imaging. J Magn Reson Imaging 2009;29:537–44 doi:10.1002/jmri.21676 pmid:19243035
    CrossRefPubMed
  11. 11.↵
    1. Langkammer C,
    2. Krebs N,
    3. Goessler W, et al
    . Quantitative MR imaging of brain iron: a postmortem validation study. Radiology 2010;257:455–62 doi:10.1148/radiol.10100495 pmid:20843991
    CrossRefPubMedWeb of Science
  12. 12.↵
    1. Li J,
    2. Chang S,
    3. Liu T, et al
    . Reducing the object orientation dependence of susceptibility effects in gradient echo MRI through quantitative susceptibility mapping. Magn Reson Med 2012;68:1563–69 doi:10.1002/mrm.24135 pmid:22851199
    CrossRefPubMed
  13. 13.↵
    1. Hopp K,
    2. Popescu BF,
    3. McCrea RP, et al
    . Brain iron detected by SWI high pass filtered phase calibrated with synchrotron X-ray fluorescence. J Magn Reson Imaging 2010;31:1346–54 doi:10.1002/jmri.22201 pmid:20512886
    CrossRefPubMed
  14. 14.↵
    1. Wiggermann V,
    2. Hametner S,
    3. Hernandez-Torres E, et al
    . Susceptibility-sensitive MRI of multiple sclerosis lesions and the impact of normal-appearing white matter changes. NMR Biomed 2017;30 doi:10.1002/nbm.3727 pmid:28470768
    CrossRefPubMed
  15. 15.↵
    1. Eskreis-Winkler S,
    2. Deh K,
    3. Gupta A, et al
    . Multiple sclerosis lesion geometry in quantitative susceptibility mapping (QSM) and phase imaging. J Magn Reson Imaging 2015;42:224–29 doi:10.1002/jmri.24745 pmid:25174493
    CrossRefPubMed
  16. 16.↵
    1. Wang Y,
    2. Liu T
    . Quantitative susceptibility mapping (QSM): decoding MRI data for a tissue magnetic biomarker. Magn Reson Med 2015;73:82–101 doi:10.1002/mrm.25358 pmid:25044035
    CrossRefPubMed
  17. 17.↵
    1. Wisnieff C,
    2. Ramanan S,
    3. Olesik J, et al
    . Quantitative susceptibility mapping (QSM) of white matter multiple sclerosis lesions: interpreting positive susceptibility and the presence of iron. Magn Reson Med 2015;74:564–70 doi:10.1002/mrm.25420 pmid:25137340
    CrossRefPubMed
  18. 18.↵
    1. Stuber C,
    2. Pitt D,
    3. Wang Y
    . Iron in multiple sclerosis and its noninvasive imaging with quantitative susceptibility mapping. Int J Mol Sci 2016;17:E100 doi:10.3390/ijms17010100 pmid:26784172
    CrossRefPubMed
  19. 19.↵
    1. Deistung A,
    2. Schäfer A,
    3. Schweser F, et al
    . Toward in vivo histology: a comparison of quantitative susceptibility mapping (QSM) with magnitude-, phase-, and R2*-imaging at ultra-high magnetic field strength. Neuroimage 2013;65:299–314 doi:10.1016/j.neuroimage.2012.09.055 pmid:23036448
    CrossRefPubMed
  20. 20.↵
    1. Langkammer C,
    2. Liu T,
    3. Khalil M, et al
    . Quantitative susceptibility mapping in multiple sclerosis. Radiology 2013;267:551–59 doi:10.1148/radiol.12120707 pmid:23315661
    CrossRefPubMedWeb of Science
  21. 21.↵
    1. Zhang Y,
    2. Gauthier SA,
    3. Gupta A, et al
    . Quantitative susceptibility mapping and R2* measured changes during white matter lesion development in multiple sclerosis: myelin breakdown, myelin debris degradation and removal, and iron accumulation. AJNR Am J Neuroradiol 2016;37:1629–35 doi:10.3174/ajnr.A4825 pmid:27256856
    Abstract/FREE Full Text
  22. 22.↵
    1. Li X,
    2. Harrison DM,
    3. Liu H, et al
    . Magnetic susceptibility contrast variations in multiple sclerosis lesions. J Magn Reson Imaging 2016;43:463–73 doi:10.1002/jmri.24976 pmid:26073973
    CrossRefPubMed
  23. 23.↵
    1. Harrison DM,
    2. Li X,
    3. Liu H, et al
    . Lesion heterogeneity on high-field susceptibility MRI is associated with multiple sclerosis severity. AJNR Am J Neuroradiol 2016;37:1447–53 doi:10.3174/ajnr.A4726 pmid:26939635
    Abstract/FREE Full Text
  24. 24.↵
    1. Nguyen TD,
    2. Wisnieff C,
    3. Cooper MA, et al
    . T2 prep three-dimensional spiral imaging with efficient whole brain coverage for myelin water quantification at 1.5 Tesla. Magn Reson Med 2012;67:614–21 doi:10.1002/mrm.24128 pmid:22344579
    CrossRefPubMed
  25. 25.↵
    1. Nguyen TD,
    2. Deh K,
    3. Monohan E, et al
    . Feasibility and reproducibility of whole brain myelin water mapping in 4 minutes using fast acquisition with spiral trajectory and adiabatic T2prep (FAST-T2) at 3T. Magn Reson Med 2016;76:456–65 doi:10.1002/mrm.25877 pmid:26331978
    CrossRefPubMed
  26. 26.↵
    1. Laule C,
    2. Kozlowski P,
    3. Leung E, et al
    . Myelin water imaging of multiple sclerosis at 7 T: correlations with histopathology. Neuroimage 2008;40:1575–80 doi:10.1016/j.neuroimage.2007.12.008 pmid:18321730
    CrossRefPubMedWeb of Science
  27. 27.↵
    1. McCreary CR,
    2. Bjarnason TA,
    3. Skihar V, et al
    . Multiexponential T2 and magnetization transfer MRI of demyelination and remyelination in murine spinal cord. Neuroimage 2009;45:1173–82 doi:10.1016/j.neuroimage.2008.12.071 pmid:19349232
    CrossRefPubMedWeb of Science
  28. 28.↵
    1. Vargas WS,
    2. Monohan E,
    3. Pandya S, et al
    . Measuring longitudinal myelin water fraction in new multiple sclerosis lesions. Neuroimage Clin 2015;9:369–75 doi:10.1016/j.nicl.2015.09.003 pmid:26594620
    CrossRefPubMed
  29. 29.↵
    1. de Rochefort L,
    2. Liu T,
    3. Kressler B, et al
    . Quantitative susceptibility map reconstruction from MR phase data using Bayesian regularization: validation and application to brain imaging. Magn Reson Med 2010;63:194–206 doi:10.1002/mrm.22187 pmid:19953507
    CrossRefPubMed
  30. 30.↵
    1. Liu J,
    2. Liu T,
    3. de Rochefort L, et al
    . Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map. Neuroimage 2012;59:2560–68 doi:10.1016/j.neuroimage.2011.08.082 pmid:21925276
    CrossRefPubMed
  31. 31.↵
    1. Jenkinson M,
    2. Bannister P,
    3. Brady M, et al
    . Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuromage 2002;17:825–41 doi:10.1006/nimg.2002.1132 pmid:12377157
    CrossRefPubMed
  32. 32.↵
    1. Chen W,
    2. Gauthier SA,
    3. Gupta A, et al
    . Quantitative susceptibility mapping of multiple sclerosis lesions at various ages. Radiology 2014;271:183–92 doi:10.1148/radiol.13130353 pmid:24475808
    CrossRefPubMed
  33. 33.↵
    1. Zhang Y,
    2. Gauthier SA,
    3. Gupta A, et al
    . Longitudinal change in magnetic susceptibility of new enhanced multiple sclerosis (MS) lesions measured on serial quantitative susceptibility mapping (QSM). J Magn Reson Imaging 2016;44:426–32 doi:10.1002/jmri.25144 pmid:26800367
    CrossRefPubMed
  34. 34.↵
    1. Kuhlmann T,
    2. Ludwin S,
    3. Prat A, et al
    . An updated histological classification system for multiple sclerosis lesions. Acta Neuropathol 2017;133:13–24 doi:10.1007/s00401-016-1653-y pmid:27988845
    CrossRefPubMed
  35. 35.↵
    1. Wiggermann V,
    2. Hernández Torres E,
    3. Vavasour IM, et al
    . Magnetic resonance frequency shifts during acute MS lesion formation. Neurology 2013;81:211–18 doi:10.1212/WNL.0b013e31829bfd63 pmid:23761621
    Abstract/FREE Full Text
  36. 36.↵
    1. Haider L
    . Inflammation, iron, energy failure, and oxidative stress in the pathogenesis of multiple sclerosis. Oxid Med Cell Longev 2015;2015:725370 doi:10.1155/2015/725370 pmid:26106458
    CrossRefPubMed
  37. 37.↵
    1. Haider L,
    2. Fischer MT,
    3. Frischer JM, et al
    . Oxidative damage in multiple sclerosis lesions. Brain 2011;134:1914–24 doi:10.1093/brain/awr128 pmid:21653539
    CrossRefPubMedWeb of Science
  38. 38.↵
    1. Prineas JW,
    2. Kwon EE,
    3. Cho ES, et al
    . Immunopathology of secondary-progressive multiple sclerosis. Ann Neurol 2001;50:646–57 doi:10.1002/ana.1255 pmid:11706971
    CrossRefPubMedWeb of Science
  39. 39.↵
    1. Cronin MJ,
    2. Wharton S,
    3. Al-Radaideh A, et al
    . A comparison of phase imaging and quantitative susceptibility mapping in the imaging of multiple sclerosis lesions at ultrahigh field. MAGMA 2016;29:543–57 doi:10.1007/s10334-016-0560-5 pmid:27112155
    CrossRefPubMed
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American Journal of Neuroradiology: 39 (2)
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Y. Yao, T.D. Nguyen, S. Pandya, Y. Zhang, S. Hurtado Rúa, I. Kovanlikaya, A. Kuceyeski, Z. Liu, Y. Wang, S.A. Gauthier
Combining Quantitative Susceptibility Mapping with Automatic Zero Reference (QSM0) and Myelin Water Fraction Imaging to Quantify Iron-Related Myelin Damage in Chronic Active MS Lesions
American Journal of Neuroradiology Feb 2018, 39 (2) 303-310; DOI: 10.3174/ajnr.A5482

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Combining Quantitative Susceptibility Mapping with Automatic Zero Reference (QSM0) and Myelin Water Fraction Imaging to Quantify Iron-Related Myelin Damage in Chronic Active MS Lesions
Y. Yao, T.D. Nguyen, S. Pandya, Y. Zhang, S. Hurtado Rúa, I. Kovanlikaya, A. Kuceyeski, Z. Liu, Y. Wang, S.A. Gauthier
American Journal of Neuroradiology Feb 2018, 39 (2) 303-310; DOI: 10.3174/ajnr.A5482
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