We assessed the presence and extent of cortical abnormalities in patients with relapsing remitting and progressive multiple sclerosis by using surface-based quantitative susceptibility mapping and T1 relaxometry analysis. Our results showed that QSM and T1 maps acquired at 3T MRI are sensitive to cortical damage in MS patients and reveal more extensive areas of alterations in progressive than in relapsing-remitting MS. Changes in cortical QSM and T1 suggest chronic demyelination and possibly iron accumulation.
This work was funded by the Swiss National Funds PZ00P3_154508, PZ00P3_131914 and PP00P3_176984.
Intramural Research Program of NINDS (USA)
References
[1] Lucchinetti C, Brück W, Parisi J, Scheithauer B, Rodriguez M, Lassmann H. Heterogeneity of multiple sclerosis lesions: implications for the pathogenesis of demyelination. Ann Neurol 2000; 47:707-717.
[2] Noseworthy JH, Lucchinetti C, Rodriguez M, Weinshenker BG. Multiple sclerosis. N Engl J Med 2000; 343:938-952.
[3] Lucchinetti CF, Bruck W, Rodriguez M, Lassmann H. Distinct patterns of multiple sclerosis pathology indicates heterogeneity on pathogenesis. Brain Pathol 1996; 6:259-274.
[4] Kutzelnigg A, Lucchinetti CF, Stadelmann C, Brück W, Rauschka H, Bergmann M, et al. Cortical demyelination and diffuse white matter injury in multiple sclerosis. Brain. 2005 Nov;128(Pt 11):2705–12.
[5] Calabrese M, Magliozzi R, Ciccarelli O, Geurts JJG, Reynolds R, Martin R. Exploring the origins of grey matter damage in multiple sclerosis. Nat Rev Neurosci. 2015 Mar;16(3):147–58.
[6] Calabrese M, Filippi M, Gallo P. Cortical lesions in multiple sclerosis. Nat Rev Neurol. 2010 Aug;6(8):438–44.
[7] Bagnato F, Hametner S, Yao B, van Gelderen P, Merkle H, Cantor FK, et al. Tracking iron in multiple sclerosis: a combined imaging and histopathological study at 7 Tesla. Brain. 2011 Dec;134(Pt 12):3602–15.
[8] Walsh AJ, Lebel RM, Eissa A, Blevins G, Catz I, Lu J-Q, et al. Multiple sclerosis: validation of MR imaging for quantification and detection of iron. Radiology. 2013 May;267(2):531–42.
[9] Yablonskiy DA, Luo J, Sukstanskii AL, Iyer A, Cross AH. Biophysical mechanisms of MRI signal frequency contrast in multiple sclerosis. Proc Natl Acad Sci USA. 2012 Aug 28;109(35):14212–7.
[10] Chen W, Gauthier SA, Gupta A, Comunale J, Liu T, Wang S, et al. Quantitative Susceptibility Mapping of Multiple Sclerosis Lesions at Various Ages. Radiology [Internet]. 2014 Apr [cited 2019 Nov 6];271(1):183–92. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4263629/
[11] Deoni SCL. Quantitative relaxometry of the brain. Top Magn Reson Imaging. 2010 Apr;21(2):101–13. [12] Bonnier G, Fischi-Gomez E, Roche A, Hilbert T, Kober T, Krueger G, et al. Personalized pathology maps to quantify diffuse and focal brain damage. Neuroimage Clin. 2019;21:101607.
[13] Piredda GF, Hilbert T, Granziera C, Bonnier G, Meuli R, Molinari F, et al. Quantitative brain relaxation atlases for personalized detection and characterization of brain pathology. Magn Reson Med. 2020 Jan;83(1):337–51.
[14] Lublin FD, Reingold SC, Cohen JA, Cutter GR, Sørensen PS, Thompson AJ, et al. Defining the clinical course of multiple sclerosis: the 2013 revisions. Neurology. 2014 Jul 15;83(3):278–86.
[15] Spincemaille P, Liu Z, Zhang S, Kovanlikaya I, Ippoliti M, Makowski M, et al. Clinical Integration of Automated Processing for Brain Quantitative Susceptibility Mapping: Multi-Site Reproducibility and Single-Site Robustness. Journal of Neuroimaging [Internet]. 2019 [cited 2019 Nov 6];29(6):689–98. Available from: https://onlinelibrary.wiley.com/doi/abs/10.1111/jon.12658
[16] Mainero C, Louapre C, Govindarajan ST, Giannì C, Nielsen AS, Cohen-Adad J, et al. A gradient in cortical pathology in multiple sclerosis by in vivo quantitative 7 T imaging. Brain. 2015 Apr;138(Pt 4):932–45.
[17] Zhang Y, Gauthier SA, Gupta A, Chen W, Comunale J, Chiang GC-Y, et al. QSM and R2* measured changes during white matter lesion development in multiple sclerosis: myelin breaking down, myelin debris degradation and removal, and iron accumulation. AJNR Am J Neuroradiol [Internet]. 2016 Sep [cited 2019 Nov 6];37(9):1629–35. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5018433/
[18] Herranz E, Giannì C, Louapre C, Treaba CA, Govindarajan ST, Ouellette R, et al. Neuroinflammatory component of gray matter pathology in multiple sclerosis. Ann Neurol. 2016 Nov;80(5):776–90.