In Vivo 7T MR Quantitative Susceptibility Mapping Reveals Opposite Susceptibility Contrast Between Cortical and White Matter Lesions in Multiple Sclerosis

Overview

Journal AJNR Am J Neuroradiol

Specialty Neurology

Date 2016 Jun 11

PMID 27282860

Citations 19

Authors

W Bian

E Tranvinh

T Tourdias

M Han

T Liu

Y Wang

B Rutt

M M Zeineh

Affiliations

Soon will be listed here.

Abstract

Background And Purpose: Magnetic susceptibility measured with quantitative susceptibility mapping has been proposed as a biomarker for demyelination and inflammation in patients with MS, but investigations have mostly been on white matter lesions. A detailed characterization of cortical lesions has not been performed. The purpose of this study was to evaluate magnetic susceptibility in both cortical and WM lesions in MS by using quantitative susceptibility mapping.

Materials And Methods: Fourteen patients with MS were scanned on a 7T MR imaging scanner with T1-, T2-, and T2*-weighted sequences. The T2*-weighted sequence was used to perform quantitative susceptibility mapping and generate tissue susceptibility maps. The susceptibility contrast of a lesion was quantified as the relative susceptibility between the lesion and its adjacent normal-appearing parenchyma. The susceptibility difference between cortical and WM lesions was assessed by using a test.

Results: The mean relative susceptibility was significantly negative for cortical lesions ( < 10) but positive for WM lesions ( < 10). A similar pattern was also observed in the cortical ( = .054) and WM portions ( = .043) of mixed lesions.

Conclusions: The negative susceptibility in cortical lesions suggests that iron loss dominates the susceptibility contrast in cortical lesions. The opposite susceptibility contrast between cortical and WM lesions may reflect both their structural (degree of myelination) and pathologic (degree of inflammation) differences, in which the latter may lead to a faster release of iron in cortical lesions.

Citing Articles

Quantifying Remyelination Using χ-Separation in White Matter and Cortical Multiple Sclerosis Lesions.

Muller J, Lu P, Cagol A, Ruberte E, Shin H, Ocampo-Pineda M Neurology. 2024; 103(6):e209604.

PMID: 39213476 PMC: 11362958. DOI: 10.1212/WNL.0000000000209604.

U-fiber diffusion kurtosis and susceptibility characteristics in relapsing-remitting multiple sclerosis may be related to cognitive deficits and neurodegeneration.

Luo D, Peng Y, Zhu Q, Zheng Q, Luo Q, Han Y Eur Radiol. 2023; 34(3):1422-1433.

PMID: 37658142 DOI: 10.1007/s00330-023-10114-3.

Regional cortical thinning, demyelination and iron loss in cerebral small vessel disease.

Li H, Jacob M, Cai M, Duering M, Chamberland M, Norris D Brain. 2023; 146(11):4659-4673.

PMID: 37366338 PMC: 10629800. DOI: 10.1093/brain/awad220.

Whole-Cerebrum distortion-free three-dimensional pseudo-continuous arterial spin labeling at 7T.

Zhao C, Shao X, Shou Q, Ma S, Gokyar S, Graf C Neuroimage. 2023; 277:120251.

PMID: 37364741 PMC: 10528743. DOI: 10.1016/j.neuroimage.2023.120251.

Whole-Cerebrum distortion-free three-dimensional pseudo-Continuous Arterial Spin Labeling at 7T.

Zhao C, Shao X, Shou Q, Ma S, Gokyar S, Graf C medRxiv. 2023; .

PMID: 37163115 PMC: 10168494. DOI: 10.1101/2023.04.24.23289051.

References

Pitt D, Boster A, Pei W, Wohleb E, Jasne A, Zachariah C . Imaging cortical lesions in multiple sclerosis with ultra-high-field magnetic resonance imaging. Arch Neurol. 2010; 67(7):812-8. DOI: 10.1001/archneurol.2010.148. View

Haacke E, Cheng N, House M, Liu Q, Neelavalli J, Ogg R . Imaging iron stores in the brain using magnetic resonance imaging. Magn Reson Imaging. 2005; 23(1):1-25. DOI: 10.1016/j.mri.2004.10.001. View

Bian W, Harter K, Hammond-Rosenbluth K, Lupo J, Xu D, Kelley D . A serial in vivo 7T magnetic resonance phase imaging study of white matter lesions in multiple sclerosis. Mult Scler. 2012; 19(1):69-75. DOI: 10.1177/1352458512447870. View

Mehta V, Pei W, Yang G, Li S, Swamy E, Boster A . Iron is a sensitive biomarker for inflammation in multiple sclerosis lesions. PLoS One. 2013; 8(3):e57573. PMC: 3597727. DOI: 10.1371/journal.pone.0057573. View

Mainero C, Louapre C, Govindarajan S, Gianni C, Nielsen A, Cohen-Adad J . A gradient in cortical pathology in multiple sclerosis by in vivo quantitative 7 T imaging. Brain. 2015; 138(Pt 4):932-45. PMC: 4677339. DOI: 10.1093/brain/awv011. View

Smith S, Jenkinson M, Woolrich M, Beckmann C, Behrens T, Johansen-Berg H . Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage. 2004; 23 Suppl 1:S208-19. DOI: 10.1016/j.neuroimage.2004.07.051. View

McDonald W, Compston A, Edan G, Goodkin D, Hartung H, Lublin F . Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis. Ann Neurol. 2001; 50(1):121-7. DOI: 10.1002/ana.1032. View

Saranathan M, Tourdias T, Bayram E, Ghanouni P, Rutt B . Optimization of white-matter-nulled magnetization prepared rapid gradient echo (MP-RAGE) imaging. Magn Reson Med. 2014; 73(5):1786-94. PMC: 4247820. DOI: 10.1002/mrm.25298. View

Li X, Harrison D, Liu H, Jones C, Oh J, Calabresi P . Magnetic susceptibility contrast variations in multiple sclerosis lesions. J Magn Reson Imaging. 2015; 43(2):463-73. PMC: 4678033. DOI: 10.1002/jmri.24976. View

10.

Peterson J, Bo L, Mork S, Chang A, Trapp B . Transected neurites, apoptotic neurons, and reduced inflammation in cortical multiple sclerosis lesions. Ann Neurol. 2001; 50(3):389-400. DOI: 10.1002/ana.1123. View

11.

Langkammer C, Krebs N, Goessler W, Scheurer E, Yen K, Fazekas F . Susceptibility induced gray-white matter MRI contrast in the human brain. Neuroimage. 2011; 59(2):1413-9. PMC: 3236994. DOI: 10.1016/j.neuroimage.2011.08.045. View

12.

Liu C, Li W, Tong K, Yeom K, Kuzminski S . Susceptibility-weighted imaging and quantitative susceptibility mapping in the brain. J Magn Reson Imaging. 2014; 42(1):23-41. PMC: 4406874. DOI: 10.1002/jmri.24768. View

13.

Chen W, Gauthier S, Gupta A, Comunale J, Liu T, Wang S . Quantitative susceptibility mapping of multiple sclerosis lesions at various ages. Radiology. 2014; 271(1):183-92. PMC: 4263629. DOI: 10.1148/radiol.13130353. View

14.

Chari D . Remyelination in multiple sclerosis. Int Rev Neurobiol. 2007; 79:589-620. PMC: 7112255. DOI: 10.1016/S0074-7742(07)79026-8. View

15.

Yao B, Hametner S, van Gelderen P, Merkle H, Chen C, Lassmann H . 7 Tesla magnetic resonance imaging to detect cortical pathology in multiple sclerosis. PLoS One. 2014; 9(10):e108863. PMC: 4193749. DOI: 10.1371/journal.pone.0108863. View

16.

Calabrese M, Filippi M, Gallo P . Cortical lesions in multiple sclerosis. Nat Rev Neurol. 2010; 6(8):438-44. DOI: 10.1038/nrneurol.2010.93. View

17.

Harrison D, Roy S, Oh J, Izbudak I, Pham D, Courtney S . Association of Cortical Lesion Burden on 7-T Magnetic Resonance Imaging With Cognition and Disability in Multiple Sclerosis. JAMA Neurol. 2015; 72(9):1004-12. PMC: 4620027. DOI: 10.1001/jamaneurol.2015.1241. View

18.

Liu J, Liu T, de Rochefort L, Ledoux J, Khalidov I, Chen W . Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map. Neuroimage. 2011; 59(3):2560-8. PMC: 3254812. DOI: 10.1016/j.neuroimage.2011.08.082. View

19.

Bagnato F, Hametner S, Yao B, van Gelderen P, Merkle H, Cantor F . Tracking iron in multiple sclerosis: a combined imaging and histopathological study at 7 Tesla. Brain. 2011; 134(Pt 12):3602-15. PMC: 3235560. DOI: 10.1093/brain/awr278. View

20.

Fukunaga M, Li T, van Gelderen P, de Zwart J, Shmueli K, Yao B . Layer-specific variation of iron content in cerebral cortex as a source of MRI contrast. Proc Natl Acad Sci U S A. 2010; 107(8):3834-9. PMC: 2840419. DOI: 10.1073/pnas.0911177107. View