본문 바로가기
KERD
논문KCI 등재

Paramagnetic Rims in Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorder: A Quantitative Susceptibility Mapping Study with 3-T MRI

1

조회

0

다운로드

0

인용

0

참고문헌

키워드

초록

Background and Purpose: Iron retained by activated microglia and macrophages in multiple sclerosis (MS) lesions may serve as a marker of innate immune system activation. Among several magnetic resonance imaging (MRI) methods, there has been recent interest in using quantitative susceptibility mapping (QSM) as a potential tool for assessing iron levels in the human brain. This study examined QSM findings in MS and neuromyelitis optica spectrum disorder (NMOSD) lesions obtained with 3-T MRI to assess imaging characteristics related to paramagnetic rims around brain lesions in MS and NMOSD. Methods: This study included 32 MS and 21 seropositive NMOSD patients. MRI images were obtained using two 3-T MRI devices (Ingenia, Philips Healthcare; and Magnetom Verio, Siemens Healthineers) during routine diagnosis and treatment procedures. Multi and single echo gradient echo magnitude and phase images were obtained for QSM reconstruction. QSM images were used to characterize the detected lesions, and the findings were compared between MS and NMOSD. Results: Totals of 71 and 35 MRI scans were performed during the study period in MS and NMOSD patients, respectively. In QSM images, paramagnetic rims were found in 26 (81.2%) MS patients and 1 (4.8%) NMOSD patient. Eight of the 22 MS patients and only 1 of the 10 NMOSD patients who underwent follow-up MRI showed new paramagnetic rims. The paramagnetic rim lesions appeared after enhancement or in new T2-weighted lesions without enhancement. Conclusions: Paramagnetic rims might be a characteristic MRI finding for MS, and therefore they have potential as an imaging marker for differentially diagnosing MS from NMOSD using 3-T MRI.

Abstract

Background and Purpose: Iron retained by activated microglia and macrophages in multiple sclerosis (MS) lesions may serve as a marker of innate immune system activation. Among several magnetic resonance imaging (MRI) methods, there has been recent interest in using quantitative susceptibility mapping (QSM) as a potential tool for assessing iron levels in the human brain. This study examined QSM findings in MS and neuromyelitis optica spectrum disorder (NMOSD) lesions obtained with 3-T MRI to assess imaging characteristics related to paramagnetic rims around brain lesions in MS and NMOSD. Methods: This study included 32 MS and 21 seropositive NMOSD patients. MRI images were obtained using two 3-T MRI devices (Ingenia, Philips Healthcare; and Magnetom Verio, Siemens Healthineers) during routine diagnosis and treatment procedures. Multi and single echo gradient echo magnitude and phase images were obtained for QSM reconstruction. QSM images were used to characterize the detected lesions, and the findings were compared between MS and NMOSD. Results: Totals of 71 and 35 MRI scans were performed during the study period in MS and NMOSD patients, respectively. In QSM images, paramagnetic rims were found in 26 (81.2%) MS patients and 1 (4.8%) NMOSD patient. Eight of the 22 MS patients and only 1 of the 10 NMOSD patients who underwent follow-up MRI showed new paramagnetic rims. The paramagnetic rim lesions appeared after enhancement or in new T2-weighted lesions without enhancement. Conclusions: Paramagnetic rims might be a characteristic MRI finding for MS, and therefore they have potential as an imaging marker for differentially diagnosing MS from NMOSD using 3-T MRI.

참고문헌 (42)

  1. Nylander A, "Multiple sclerosis", J Clin Invest, 122, pp.1180~1188 (2012)
  2. Kim W, "Characteristic brain magnetic resonance imaging abnormalities in central nervous system aquaporin-4 autoimmunity", Mult Scler, 16, pp.1229~1236 (2010)
  3. 김우준, "New Insights into Neuromyelitis Optica", Journal of Clinical Neurology, 7(3), pp.115~127 (2011), 대한신경과학회
  4. Thompson AJ, "Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria", Lancet Neurol, 17, pp.162~173 (2018)
  5. Wingerchuk DM, "International consensus diagnostic criteria for neuromyelitis optica spectrum disorders", Neurology, 85, pp.177~189 (2015)
  6. Al-Radaideh AM, "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, pp.896~903 (2013)
  7. Bagnato F, "Tracking iron in multiple sclerosis : a combined imaging and histopathological study at 7 Tesla", Brain, 134, pp.3602~3615 (2011)
  8. Hametner S, "Iron and neurodegeneration in the multiple sclerosis brain", Ann Neurol, 74, pp.848~861 (2013)
  9. Mehta V, "Iron is a sensitive biomarker for inflammation in multiple sclerosis lesions", PLoS One, 8, pp.e57573~ (2013)
  10. Wisnieff C, "Quantitative susceptibility mapping (QSM) of white matter multiple sclerosis lesions: interpreting positive susceptibility and the presence of iron", Magn Reson Med, 74, pp.564~570 (2015)
  11. Williams R, "Pathogenic implications of iron accumulation in multiple sclerosis", J Neurochem, 120, pp.7~25 (2012)
  12. Langkammer C, "Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study", Neuroimage, 62, pp.1593~1599 (2012)
  13. Wang Y, "Quantitative susceptibility mapping (QSM): decoding MRI data for a tissue magnetic biomarker", Magn Reson Med, 73, pp.82~101 (2015)
  14. Liu C, "Susceptibilityweighted imaging and quantitative susceptibility mapping in the brain", J Magn Reson Imaging, 42, pp.23~41 (2015)
  15. Chawla S, "Iron and non-iron-related characteristics of multiple sclerosis and neuromyelitis optica lesions at 7T MRI", AJNR Am J Neuroradiol, 37, pp.1223~1230 (2016)
  16. Zhang Y, "Magnetic susceptibility from quantitative susceptibility mapping can differentiate new enhancing from nonenhancing multiple sclerosis lesions without gadolinium injection", AJNR Am J Neuroradiol, 37, pp.1794~1799 (2016)
  17. Harrison DM, "Lesion heterogeneity on high-field susceptibility MRI is associated with multiple sclerosis severity", AJNR Am J Neuroradiol, 37, pp.1447~1453 (2016)
  18. Chen W, "Quantitative susceptibility mapping of multiple sclerosis lesions at various ages", Radiology, 271, pp.183~192 (2014)
  19. Gho SM, "Susceptibility map-weighted imaging(SMWI)for neuroimaging", Magn Reson Med, 72, pp.337~346 (2014)
  20. Dal-Bianco A, "Slow expansion of multiple sclerosis iron rim lesions : pathology and 7 T magnetic resonance imaging", Acta Neuropathol, 133, pp.25~42 (2017)
  21. Absinta M, "Identification of chronic active multiple sclerosis lesions on 3T MRI", AJNR Am J Neuroradiol, 39, pp.1233~1238 (2018)
  22. Absinta M, "Association of chronic active multiple sclerosis lesions with disability in vivo", JAMA Neurol, 76, pp.1474~1483 (2019)
  23. Zhang S, "Quantitative susceptibility mapping of time-dependent susceptibility changes in multiple sclerosis lesions", AJNR Am J Neuroradiol, 40, pp.987~993 (2019)
  24. Absinta M, "Advanced MRI and staging of multiple sclerosis lesions", Nat Rev Neurol, 12, pp.358~368 (2016)
  25. Traboulsee A, "Revised recommendations of the consortium of MS centers task force for a standardized MRI protocol and clinical guidelines for the diagnosis and follow-up of multiple sclerosis", AJNR Am J Neuroradiol, 37, pp.394~401 (2016)
  26. Schofield MA, "Fast phase unwrapping algorithm for interferometric applications", Opt Lett, 28, pp.1194~1196 (2003)
  27. Li W, "Integrated laplacian-based phase unwrapping and background phase removal for quantitative susceptibility mapping", NMR Biomed, 27, pp.219~227 (2014)
  28. Smith SM, "Fast robust automated brain extraction", Hum Brain Mapp, 17, pp.143~155 (2002)
  29. Li W, "A method for estimating and removing streaking artifacts in quantitative susceptibility mapping", Neuroimage, 108, pp.111~122 (2015)
  30. Haacke EM, "Quantitative susceptibility mapping : current status and future directions", Magn Reson Imaging, 33, pp.1~25 (2015)
  31. Kim HJ, "MRI characteristics of neuromyelitis optica spectrum disorder : an international update", Neurology, 84, pp.1165~1173 (2015)
  32. Brück W, "Neuromyelitis optica lesions may inform multiple sclerosis heterogeneity debate", Ann Neurol, 72, pp.385~394 (2012)
  33. Sinnecker T, "MRI phase changes in multiple sclerosis vs neuromyelitis optica lesions at 7T", Neurol Neuroimmunol Neuroinflamm, 3, pp.e259~ (2016)
  34. Chawla S, "Longitudinal study of multiple sclerosis lesions using ultra-high field(7T)multiparametric MR imaging", PLoS One, 13, pp.e0202918~ (2018)
  35. Bozin I, "Magnetic resonance phase alterations in multiple sclerosis patients with short and long disease duration", PLoS One, 10, pp.e0128386~ (2015)
  36. Deh K, "Magnetic susceptibility increases as diamagnetic molecules breakdown : myelin digestion during multiple sclerosis lesion formation contributes to increase on QSM", J Magn Reson Imaging, 48, pp.1281~1287 (2018)
  37. Kuhlmann T, "An updated histological classification system for multiple sclerosis lesions", Acta Neuropathol, 133, pp.13~24 (2017)
  38. Zhang Y, "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, 37, pp.1629~1635 (2016)
  39. Lucchinetti C, "Heterogeneity of multiple sclerosis lesions : implications for the pathogenesis of demyelination", Ann Neurol, 47, pp.707~717 (2000)
  40. Wiggermann V, "Susceptibility-sensitive MRI of multiple sclerosis lesions and the impact of normal-appearing white matter changes", NMR Biomed, 30, pp.e3727~ (2017)
  41. Lee J, "Separating positive and negative susceptibility sources in QSM", Proceedings of the ISMRM 25th Annual Meeting & Exhibition (2017), International Society for Magnetic Resonance in Medicine
  42. Chen JJ, "MRI differential diagnosis of suspected multiple sclerosis", Clin Radiol, 71, pp.815~827 (2016)

관련 논문AI추천

이 간행물의 다른 논문 (33건)