Diagnostic value of gadolinium contrast administration for spinal cord magnetic resonance imaging in multiple sclerosis patients and correlative markers of lesion enhancement

1. Wattjes, MP, Ciccarelli, O, Reich, DS, et al. 2021 MAGNIMS–CMSC–NAIMS consensus recommendations on the use of MRI in patients with multiple sclerosis. The Lancet Neurology 2021; 20: 653–670.
Google Scholar | Crossref | Medline2. Filippi, M, Rocca, MA, Ciccarelli, O, et al. MRI Criteria for the diagnosis of multiple sclerosis: MAGNIMS consensus guidelines. The Lancet Neurology 2016; 15: 292–303.
Google Scholar | Crossref | Medline | ISI3. Noseworthy, JH, Lucchinetti, C, Rodriguez, M, et al. Multiple sclerosis. N Engl J Med 2000; 343: 938–952.
Google Scholar | Crossref | Medline | ISI4. Kearney H, AD, Samson, RS, Yiannakas, MC, et al. Cervical cord lesion load is associated with disability independently from atrophy in MS. Neurology 2014; 84(4): 367–373.
Google Scholar | Crossref | Medline5. Lukas C, SM, Bellenberg, B, Hahn, HK, et al. Relevance of spinal cord abnormalities to clinical disability in multiple sclerosis: MR imaging findings in a large cohort of patients. Radiology 2013; 269(2): 542–552.
Google Scholar | Crossref | Medline6. Bonacchi, R, Pagani, E, Meani, A, et al. Clinical relevance of multiparametric MRI assessment of cervical cord damage in multiple sclerosis. Radiology 2020; 296: 605–615.
Google Scholar | Crossref | Medline7. Leguy, S, Combes, B, Bannier, E, et al. Prognostic value of spinal cord MRI in multiple sclerosis patients. Rev Neurol (Paris) 2020; 177(5): 571–581.
Google Scholar | Crossref | Medline8. Tsagkas, C, Magon, S, Gaetano, L, et al. Spinal cord volume loss: a marker of disease progression in multiple sclerosis. Neurology 2018; 91: e349–e358.
Google Scholar | Crossref | Medline9. Thompson, AJ, Banwell, BL, Barkhof, F, et al. Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol 2018; 17: 162–173.
Google Scholar | Crossref | Medline | ISI10. Kanda, T, Ishii, K, Kawaguchi, H, et al. High signal intensity in the dentate nucleus and globus pallidus on unenhanced T1-weighted MR images: relationship with increasing cumulative dose of a gadolinium-based contrast material. Radiology 2014; 270: 834–841.
Google Scholar | Crossref | Medline | ISI11. Weberling, LD, Kieslich, PJ, Kickingereder, P, et al. Increased signal intensity in the dentate nucleus on unenhanced T1-weighted images after gadobenate dimeglumine administration. Invest Radiol 2015; 50: 743–748.
Google Scholar | Crossref | Medline | ISI12. Hoggard, N, Roditi, GH. T1 hyperintensity on brain imaging subsequent to gadolinium-based contrast agent administration: what do we know about intracranial gadolinium deposition? Br J Radiol 2017; 90: 20160590.
Google Scholar | Crossref | Medline13. Rasschaert, M, Weller, RO, Schroeder, JA, et al. Retention of gadolinium in brain parenchyma: pathways for speciation, access, and distribution. A critical review. J Magn Reson Imaging 2020; 52: 1293–1305.
Google Scholar | Crossref | Medline14. El-Khatib, AH, Radbruch, H, Trog, S, et al. Gadolinium in human brain sections and colocalization with other elements. Neurol Neuroimmunol Neuroinflamm 2019; 6: e515.
Google Scholar | Crossref | Medline15. Karimian-Jazi, K, Wildemann, B, Diem, R, et al. Gd contrast administration is dispensable in patients with MS without new T2 lesions on follow-up MRI. Neurol Neuroimmunol Neuroinflamm 2018; 5: e480.
Google Scholar | Crossref | Medline16. Eichinger, P, Schon, S, Pongratz, V, et al. Accuracy of unenhanced MRI in the detection of new brain lesions in multiple sclerosis. Radiology 2019; 291: 429–435.
Google Scholar | Crossref | Medline17. Breckwoldt, MO, Gradl, J, Hahnel, S, et al. Increasing the sensitivity of MRI for the detection of multiple sclerosis lesions by long axial coverage of the spinal cord: a prospective study in 119 patients. J Neurol 2017; 264: 341–349.
Google Scholar | Crossref | Medline18. Chen, Y, Haacke, EM, Bernitsas, E. Imaging of the spinal cord in multiple sclerosis: past, present, future. Brain Sci 2020; 10(11): 857.
Google Scholar | Crossref19. Eden, D, Gros, C, Badji, A, et al. Spatial distribution of multiple sclerosis lesions in the cervical spinal cord. Brain 2019; 142: 633–646.
Google Scholar | Crossref | Medline20. Saslow, L, Li, DKB, Halper, J, et al. An international standardized magnetic resonance imaging protocol for diagnosis and follow-up of patients with multiple sclerosis. Int J MS Care 2020; 22: 226–232.
Google Scholar | Crossref | Medline21. Lohrke, J, Frisk, AL, Frenzel, T, et al. Histology and gadolinium distribution in the rodent brain after the administration of cumulative high doses of linear and macrocyclic gadolinium-based contrast agents. Invest Radiol 2017; 52: 324–333.
Google Scholar | Crossref | Medline22. Rudie, JD, Mattay, RR, Schindler, M, et al. An initiative to reduce unnecessary gadolinium-based contrast in multiple sclerosis patients. J Am Coll Radiol 2019; 16: 1158–1164.
Google Scholar | Crossref | Medline23. Mattay, RR, Davtyan, K, Bilello, M, et al. Do All patients with multiple sclerosis benefit from the Use of contrast on serial follow-Up MR imaging? A retrospective analysis. AJNR Am J Neuroradiol 2018; 39: 2001–2006.
Google Scholar | Crossref | Medline24. Sadigh, G, Saindane, AM, Waldman, AD, et al. Comparison of unenhanced and gadolinium-enhanced imaging in multiple sclerosis: is contrast needed for routine follow-Up MRI? AJNR Am J Neuroradiol 2019; 40: 1476–1480.
Google Scholar | Medline25. Bagnato, F . Gadolinium should always be used to assess disease activity in MS - commentary. Mult Scler 2020; 26: 769–770.
Google Scholar | SAGE Journals | ISI26. Granziera, C, Reich, DS. Gadolinium should always be used to assess disease activity in MS – Yes. Multiple Sclerosis Journal 2020; 26: 765–766.
Google Scholar | SAGE Journals | ISI27. Rovira, A, Wattjes, MP. Gadolinium should always be used to assess disease activity in MS - No. Mult Scler 2020; 26: 767–769.
Google Scholar | SAGE Journals | ISI28. Rio, J, Auger, C, Rovira, A. MR Imaging in monitoring and predicting treatment response in multiple sclerosis. Neuroimaging Clin N Am 2017; 27: 277–287.
Google Scholar | Crossref | Medline29. Brisset, JC, Kremer, S, Hannoun, S, et al. New OFSEP recommendations for MRI assessment of multiple sclerosis patients: special consideration for gadolinium deposition and frequent acquisitions. J Neuroradiol 2020; 47: 250–258.
Google Scholar | Crossref | Medline30. Lycklama, G, Thompson, A, Filippi, M, et al. Spinal-cord MRI in multiple sclerosis. The Lancet Neurology 2003; 2: 555–562.
Google Scholar | Crossref | Medline | ISI31. Wattjes, MP, Rovira, A, Miller, D, et al. Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis–establishing disease prognosis and monitoring patients. Nat Rev Neurol 2015; 11: 597–606.
Google Scholar | Crossref | Medline | ISI32. Thorpe, JW, Kidd, D, Moseley, IF, et al. Serial gadolinium-enhanced MRI of the brain and spinal cord in early relapsing-remitting multiple sclerosis. Neurology 1996; 46: 373–378.
Google Scholar | Crossref | Medline | ISI33. Stankiewicz, JM, Neema, M, Alsop, DC, et al. Spinal cord lesions and clinical status in multiple sclerosis: a 1.5 T and 3 T MRI study. J Neurol Sci 2009; 279: 99–105.
Google Scholar | Crossref | Medline | ISI34. Hagens, MHJ, Burggraaff, J, Kilsdonk, ID, et al. Three-Tesla MRI does not improve the diagnosis of multiple sclerosis: a multicenter study. Neurology 2018; 91: e249–e257.
Google Scholar | Crossref | Medline

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