A clinically feasible 7-Tesla protocol for the identification of cortical lesions in Multiple Sclerosis.
Gray matter
Magnetic resonance imaging
Multiple sclerosis
Journal
European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774
Informations de publication
Date de publication:
Aug 2020
Aug 2020
Historique:
received:
09
01
2020
accepted:
11
03
2020
revised:
25
02
2020
pubmed:
27
3
2020
medline:
15
12
2020
entrez:
27
3
2020
Statut:
ppublish
Résumé
The aim of this study was to evaluate the capability of sequences acquired on a 7-T MRI scanner, within times and anatomical coverage appropriate for clinical studies, to identify cortical lesions (CLs) in patients with Multiple Sclerosis (MS). Furthermore, we aimed to confirm the clinical significance of CL, testing the correlations between gray matter (GM) lesions and clinical scores. A 7-T MRI protocol included 3D-T1-weighted and T2*-weighted sequences. Images were evaluated independently by three readers of different experience, and the number of CLs was recorded. Between-rater concordance was assessed calculating the intraclass correlation coefficient (ICC). Lin's concordance correlation coefficient was used to compare CL detection between sequences, while partial correlations and multivariable regression models were used to study the relationship between CL and clinical data. Forty MS patients (M/F, 17/23; 44.7 ± 12.6 years) were enrolled in this study, and CLs were identified in 35/40 subjects (87.5%). CL detection rate on 3D-T1-weighted images was significantly correlated with the detection rate on T2*-weighted images (r = 0.99; p < 0.001), with high concordance between readers (ICC ≥ 0.995). CLs were significantly correlated with both motor and cognitive scores (all with p ≤ 0.04). CL can be identified over the whole brain at 7-T in MS using a 3D-T1-weighted volume, acquired in a clinically feasible time and with comparable performance to that achievable using the T2*-weighted sequence. Based on the central role of CL in the development of clinical disability, we suggest that 3D-T1-weighted volume may play a role in the evaluation of CL in MS undergoing MRI on ultra-high-field scanners. • Cortical lesions can be identified in a clinically feasible time with a 7-T protocol, which includes a 3D-T1-weighted volume. • Cortical lesions correlated significantly with both motor and cognitive disability in MS patients. • Given their correlation with clinical disability, evaluation of a cortical lesion on a 7-T clinical protocol could help in the management of MS patients.
Identifiants
pubmed: 32211962
doi: 10.1007/s00330-020-06803-y
pii: 10.1007/s00330-020-06803-y
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
4586-4594Subventions
Organisme : Teva Pharmaceutical Industries
ID : CNS-2014-221
Références
Inglese M, Petracca M (2018) MRI in multiple sclerosis: clinical and research update. Curr Opin Neurol 31:249–255
doi: 10.1097/WCO.0000000000000559
Brownell B, Hughes JT (1962) The distribution of plaques in the cerebrum in multiple sclerosis. J Neurol Neurosurg Psychiatry 25:315–320
doi: 10.1136/jnnp.25.4.315
Bo L, Vedeler CA, Nyland HI, Trapp BD, Mork SJ (2003) Subpial demyelination in the cerebral cortex of multiple sclerosis patients. J Neuropathol Exp Neurol 62:723–732
doi: 10.1093/jnen/62.7.723
Kidd D, Barkhof F, McConnell R, Algra PR, Allen IV, Revesz T (1999) Cortical lesions in multiple sclerosis. Brain 122(Pt 1):17–26
doi: 10.1093/brain/122.1.17
Pirko I, Lucchinetti CF, Sriram S, Bakshi R (2007) Gray matter involvement in multiple sclerosis. Neurology 68:634–642
doi: 10.1212/01.wnl.0000250267.85698.7a
Calabrese M, Filippi M, Gallo P (2010) Cortical lesions in multiple sclerosis. Nat Rev Neurol 6:438–444
doi: 10.1038/nrneurol.2010.93
Inglese M, Fleysher L, Oesingmann N, Petracca M (2018) Clinical applications of ultra-high field magnetic resonance imaging in multiple sclerosis. Expert Rev Neurother 18:221–230
doi: 10.1080/14737175.2018.1433033
Maranzano J, Dadar M, Rudko DA et al (2019) Comparison of multiple sclerosis cortical lesion types detected by multicontrast 3T and 7T MRI. AJNR Am J Neuroradiol 40:1162–1169
doi: 10.3174/ajnr.A6099
Beck ES, Sati P, Sethi V et al (2018) Improved visualization of cortical lesions in multiple sclerosis using 7T MP2RAGE. AJNR Am J Neuroradiol 39:459–466
doi: 10.3174/ajnr.A5534
Cohen-Adad J, Benner T, Greve D et al (2011) In vivo evidence of disseminated subpial T2* signal changes in multiple sclerosis at 7 T: a surface-based analysis. Neuroimage 57:55–62
doi: 10.1016/j.neuroimage.2011.04.009
Datta R, Sethi V, Ly S et al (2017) 7T MRI visualization of cortical lesions in adolescents and young adults with pediatric-onset multiple sclerosis. J Neuroimaging 27:447–452
doi: 10.1111/jon.12465
Mainero C, Benner T, Radding A et al (2009) In vivo imaging of cortical pathology in multiple sclerosis using ultra-high field MRI. Neurology 73:941–948
doi: 10.1212/WNL.0b013e3181b64bf7
Mainero C, Louapre C, Govindarajan ST et al (2015) A gradient in cortical pathology in multiple sclerosis by in vivo quantitative 7 T imaging. Brain 138:932–945
doi: 10.1093/brain/awv011
Treaba CA, Granberg TE, Sormani MP et al (2019) Longitudinal characterization of cortical lesion development and evolution in multiple sclerosis with 7.0-T MRI. Radiology 291:740–749
doi: 10.1148/radiol.2019181719
US Food and Drug Administration (2017) FDA clears first 7T magnetic resonance imaging device. Available via https://www.fda.gov/news-events/press-announcements/fda-clears-first-7t-magnetic-resonance-imaging-device
Polman CH, Reingold SC, Banwell B et al (2011) Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 69:292–302
doi: 10.1002/ana.22366
Lublin FD, Reingold SC, Cohen JA et al (2014) Defining the clinical course of multiple sclerosis: the 2013 revisions. Neurology 83:278–286
doi: 10.1212/WNL.0000000000000560
Benedict RH, Amato MP, Boringa J et al (2012) Brief international cognitive assessment for MS (BICAMS): international standards for validation. BMC Neurol 12:55
doi: 10.1186/1471-2377-12-55
Jenkinson M, Bannister P, Brady M, Smith S (2002) Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 17:825–841
doi: 10.1006/nimg.2002.1132
Geurts JJ, Bo L, Pouwels PJ, Castelijns JA, Polman CH, Barkhof F (2005) Cortical lesions in multiple sclerosis: combined postmortem MR imaging and histopathology. AJNR Am J Neuroradiol 26:572–577
pubmed: 15760868
Peterson JW, Bo L, Mork S, Chang A, Trapp BD (2001) Transected neurites, apoptotic neurons, and reduced inflammation in cortical multiple sclerosis lesions. Ann Neurol 50:389–400
doi: 10.1002/ana.1123
Harrison DM, Roy S, Oh J et al (2015) Association of cortical lesion burden on 7-T magnetic resonance imaging with cognition and disability in multiple sclerosis. JAMA Neurol 72:1004–1012
doi: 10.1001/jamaneurol.2015.1241
Jonkman LE, Fleysher L, Steenwijk MD et al (2016) Ultra-high field MTR and qR2* differentiates subpial cortical lesions from normal-appearing gray matter in multiple sclerosis. Mult Scler 22:1306–1314
doi: 10.1177/1352458515620499
Jonkman LE, Klaver R, Fleysher L, Inglese M, Geurts JJ (2015) Ultra-high-field MRI visualization of cortical multiple sclerosis lesions with T2 and T2*: a postmortem MRI and histopathology study. AJNR Am J Neuroradiol 36:2062–2067
doi: 10.3174/ajnr.A4418
Kollia K, Maderwald S, Putzki N et al (2009) First clinical study on ultra-high-field MR imaging in patients with multiple sclerosis: comparison of 1.5T and 7T. AJNR Am J Neuroradiol 30:699–702
doi: 10.3174/ajnr.A1434
Nielsen AS, Kinkel RP, Madigan N, Tinelli E, Benner T, Mainero C (2013) Contribution of cortical lesion subtypes at 7T MRI to physical and cognitive performance in MS. Neurology 81:641–649
doi: 10.1212/WNL.0b013e3182a08ce8
Pitt D, Boster A, Pei W et al (2010) Imaging cortical lesions in multiple sclerosis with ultra-high-field magnetic resonance imaging. Arch Neurol 67:812–818
doi: 10.1001/archneurol.2010.148
Kilsdonk ID, Jonkman LE, Klaver R et al (2016) Increased cortical grey matter lesion detection in multiple sclerosis with 7 T MRI: a post-mortem verification study. Brain 139:1472–1481
doi: 10.1093/brain/aww037
Calabrese M, Agosta F, Rinaldi F et al (2009) Cortical lesions and atrophy associated with cognitive impairment in relapsing-remitting multiple sclerosis. Arch Neurol 66:1144–1150
doi: 10.1001/archneurol.2009.174
Calabrese M, Rocca MA, Atzori M et al (2010) A 3-year magnetic resonance imaging study of cortical lesions in relapse-onset multiple sclerosis. Ann Neurol 67:376–383
pubmed: 20373349
Curti E, Graziuso S, Tsantes E, Crisi G, Granella F (2018) Correlation between cortical lesions and cognitive impairment in multiple sclerosis. Brain Behav 8:e00955
doi: 10.1002/brb3.955
Damasceno A, Damasceno BP, Cendes F (2014) The clinical impact of cerebellar grey matter pathology in multiple sclerosis. PLoS One 9(5):e96193
van de Pavert SHP, Muhlert N, Sethi V et al (2016) DIR-visible grey matter lesions and atrophy in multiple sclerosis: partners in crime? J Neurol Neurosurg Psychiatry 87:461–467
Nielsen AS, Kinkel RP, Tinelli E, Benner T, Cohen-Adad J, Mainero C (2012) Focal cortical lesion detection in multiple sclerosis: 3 tesla DIR versus 7 tesla FLASH-T2. J Magn Reson Imaging 35:537–542
doi: 10.1002/jmri.22847