Spatial distribution of multiple sclerosis lesions in the cervical spinal cord.
Adult
Brain
/ pathology
Cervical Cord
/ diagnostic imaging
Disability Evaluation
Disease Progression
Female
Gray Matter
/ pathology
Humans
Magnetic Resonance Imaging
/ methods
Male
Middle Aged
Multiple Sclerosis
/ diagnostic imaging
Multiple Sclerosis, Chronic Progressive
/ pathology
Multiple Sclerosis, Relapsing-Remitting
/ pathology
Spatial Analysis
Spinal Cord
/ pathology
Spinal Cord Diseases
White Matter
/ pathology
MRI
lesions
multicentre
multiple sclerosis
spinal cord
Journal
Brain : a journal of neurology
ISSN: 1460-2156
Titre abrégé: Brain
Pays: England
ID NLM: 0372537
Informations de publication
Date de publication:
01 03 2019
01 03 2019
Historique:
received:
26
05
2018
revised:
25
10
2018
accepted:
20
11
2018
pubmed:
5
2
2019
medline:
7
1
2020
entrez:
5
2
2019
Statut:
ppublish
Résumé
Spinal cord lesions detected on MRI hold important diagnostic and prognostic value for multiple sclerosis. Previous attempts to correlate lesion burden with clinical status have had limited success, however, suggesting that lesion location may be a contributor. Our aim was to explore the spatial distribution of multiple sclerosis lesions in the cervical spinal cord, with respect to clinical status. We included 642 suspected or confirmed multiple sclerosis patients (31 clinically isolated syndrome, and 416 relapsing-remitting, 84 secondary progressive, and 73 primary progressive multiple sclerosis) from 13 clinical sites. Cervical spine lesions were manually delineated on T2- and T2*-weighted axial and sagittal MRI scans acquired at 3 or 7 T. With an automatic publicly-available analysis pipeline we produced voxelwise lesion frequency maps to identify predilection sites in various patient groups characterized by clinical subtype, Expanded Disability Status Scale score and disease duration. We also measured absolute and normalized lesion volumes in several regions of interest using an atlas-based approach, and evaluated differences within and between groups. The lateral funiculi were more frequently affected by lesions in progressive subtypes than in relapsing in voxelwise analysis (P < 0.001), which was further confirmed by absolute and normalized lesion volumes (P < 0.01). The central cord area was more often affected by lesions in primary progressive than relapse-remitting patients (P < 0.001). Between white and grey matter, the absolute lesion volume in the white matter was greater than in the grey matter in all phenotypes (P < 0.001); however when normalizing by each region, normalized lesion volumes were comparable between white and grey matter in primary progressive patients. Lesions appearing in the lateral funiculi and central cord area were significantly correlated with Expanded Disability Status Scale score (P < 0.001). High lesion frequencies were observed in patients with a more aggressive disease course, rather than long disease duration. Lesions located in the lateral funiculi and central cord area of the cervical spine may influence clinical status in multiple sclerosis. This work shows the added value of cervical spine lesions, and provides an avenue for evaluating the distribution of spinal cord lesions in various patient groups.
Identifiants
pubmed: 30715195
pii: 5304670
doi: 10.1093/brain/awy352
pmc: PMC6391605
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, N.I.H., Intramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
633-646Subventions
Organisme : CIHR
ID : FDN-143263
Pays : Canada
Organisme : NINDS NIH HHS
ID : R21 NS087465
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY023240
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS078322
Pays : United States
Informations de copyright
© The Author(s) (2019). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For permissions, please email: journals.permissions@oup.com.
Références
Arch Neurol. 2007 Sep;64(9):1302-5
pubmed: 17846269
Radiology. 2018 Jul;288(1):234-244
pubmed: 29664341
Neuroimage. 2004;23 Suppl 1:S208-19
pubmed: 15501092
Neurology. 2005 Apr 12;64(7):1144-51
pubmed: 15824338
Neuroimage. 2017 Jan 15;145(Pt A):24-43
pubmed: 27720818
AJNR Am J Neuroradiol. 2018 Jan;39(1):184-192
pubmed: 29122760
Mult Scler. 2009 Feb;15(2):180-8
pubmed: 18845658
Neuroimage. 2018 Jan 15;165:170-179
pubmed: 29061527
Brain Pathol. 2006 Jul;16(3):202-8
pubmed: 16911477
J Neurol Neurosurg Psychiatry. 2013 Jan;84(1):35-41
pubmed: 23064100
J Neurol Neurosurg Psychiatry. 2000 Dec;69(6):723-7
pubmed: 11080222
J Neurol Sci. 2009 Apr 15;279(1-2):99-105
pubmed: 19178916
Neuroimage. 2009 Jan 1;44(1):83-98
pubmed: 18501637
Spinal Cord. 2015 Jul;53(7):520-5
pubmed: 25582716
Mult Scler. 2017 Apr;23(5):665-674
pubmed: 27481210
J Neurol Neurosurg Psychiatry. 2009 Feb;80(2):182-7
pubmed: 18829630
AJNR Am J Neuroradiol. 2012 Dec;33(11):2195-200
pubmed: 22678848
Neuroimage. 2014 Jan 1;84:1070-81
pubmed: 23685159
Radiology. 1995 Jun;195(3):725-32
pubmed: 7754002
Ther Adv Neurol Disord. 2017 Jun;10(6):247-261
pubmed: 28607577
Mult Scler. 2018 Mar;24(3):301-312
pubmed: 28301287
Neurology. 1999 Aug 11;53(3):448-56
pubmed: 10449103
AJNR Am J Neuroradiol. 2013 Nov-Dec;34(11):2215-22
pubmed: 23764721
Mult Scler. 2016 Mar;22(3):320-8
pubmed: 26209591
Neurology. 2013 Jan 1;80(1):69-75
pubmed: 23243070
Mult Scler Relat Disord. 2013 Apr;2(2):103-8
pubmed: 25877631
Brain. 1998 Apr;121 ( Pt 4):687-97
pubmed: 9577394
Nat Rev Neurol. 2015 Jun;11(6):327-38
pubmed: 26009002
Neurology. 2015 Jan 27;84(4):367-73
pubmed: 25540312
Neuropathol Appl Neurobiol. 1978 Mar-Apr;4(2):151-62
pubmed: 683462
Nat Rev Neurol. 2016 Dec;12(12):714-722
pubmed: 27834394
Neurol Neurochir Pol. 2007 May-Jun;41(3):229-33
pubmed: 17629816
Brain. 2001 Jan;124(Pt 1):154-66
pubmed: 11133795
J Neurol. 2017 Feb;264(2):341-349
pubmed: 27909801
Neuroimage. 2018 Nov 15;182:251-258
pubmed: 29373838
Neurology. 1983 Nov;33(11):1444-52
pubmed: 6685237
Mult Scler. 1999 Aug;5(4):244-50
pubmed: 10467383
Arch Neurol. 2002 Sep;59(9):1406-12
pubmed: 12223026
Mult Scler. 2016 Jun;22(7):910-20
pubmed: 26432854
Mult Scler. 2012 Nov;18(11):1560-9
pubmed: 22539086
Neurology. 1993 Dec;43(12):2632-7
pubmed: 8255468
Neuroimage. 2012 Aug 15;62(2):782-90
pubmed: 21979382
Nat Rev Neurol. 2016 Jun;12(6):358-68
pubmed: 27125632
Neurology. 2009 Sep 22;73(12):941-8
pubmed: 19641168
Neuroimage. 2014 Sep;98:528-36
pubmed: 24780696
Lancet Neurol. 2015 Apr;14(4):443-54
pubmed: 25748099
Neuroimage. 2015 Oct 1;119:262-71
pubmed: 26099457
Med Image Anal. 2018 Feb;44:215-227
pubmed: 29288983
Brain. 2009 May;132(Pt 5):1200-9
pubmed: 19297508
AJNR Am J Neuroradiol. 2018 Mar;39(3):459-466
pubmed: 29439120
J Neuroimaging. 2007 Apr;17 Suppl 1:3S-9S
pubmed: 17425727
Brain. 2016 May;139(Pt 5):1472-81
pubmed: 26956422
Neuroimage. 2006 Jul 1;31(3):1116-28
pubmed: 16545965
Radiology. 2013 Nov;269(2):542-52
pubmed: 23737540
Neurology. 2000 Jan 11;54(1):207-13
pubmed: 10636149
Lancet Neurol. 2003 Sep;2(9):555-62
pubmed: 12941578
Neuroimage. 2019 Jan 1;184:901-915
pubmed: 30300751
Magn Reson Med. 2014 Dec;72(6):1629-36
pubmed: 24390654
Brain. 2004 May;127(Pt 5):1009-18
pubmed: 15047586
Sci Rep. 2018 Sep 12;8(1):13650
pubmed: 30209345