Rapid myelin water imaging for the assessment of cervical spinal cord myelin damage.
Adult
Cervical Cord
/ diagnostic imaging
Diffusion Tensor Imaging
/ methods
Feasibility Studies
Female
Humans
Male
Middle Aged
Motor Neuron Disease
/ diagnostic imaging
Multiple Sclerosis
/ diagnostic imaging
Myelin Sheath
/ pathology
Neuromyelitis Optica
/ diagnostic imaging
Sensitivity and Specificity
Diffusion tensor imaging
Mri
Myelin water imaging
Quantitative T(1)
Spinal cord
Journal
NeuroImage. Clinical
ISSN: 2213-1582
Titre abrégé: Neuroimage Clin
Pays: Netherlands
ID NLM: 101597070
Informations de publication
Date de publication:
2019
2019
Historique:
received:
27
03
2019
revised:
08
06
2019
accepted:
11
06
2019
pubmed:
6
7
2019
medline:
26
6
2020
entrez:
6
7
2019
Statut:
ppublish
Résumé
Rapid myelin water imaging (MWI) using a combined gradient and spin echo (GRASE) sequence can produce myelin specific metrics for the human brain. Spinal cord MWI could be similarly useful, but technical challenges have hindered routine application. GRASE rapid MWI was recently successfully implemented for imaging of healthy cervical spinal cord and may complement other advanced imaging methods, such as diffusion tensor imaging (DTI) and quantitative T To demonstrate the feasibility of cervical cord GRASE rapid MWI in multiple sclerosis (MS), primary lateral sclerosis (PLS) and neuromyelitis optica spectrum disorder (NMO), with comparison to DTI and qT GRASE MWI, DTI and qT PLS subjects had low myelin water fraction (MWF) in the lateral funiculi compared to HC. RRMS subject MWF was heterogeneous within the cord. The PPMS subject showed no trends in ROI results but had a region of low MWF Z score corresponding to a focal lesion. The NMO subject with a longitudinally extensive transverse myelitis lesion had low values for whole cord mean MWF of 12.8% compared to 24.3% (standard deviation 2.2%) for HC. The NMO subject without lesions also had low MWF compared to HC. DTI and qT GRASE is sufficiently sensitive to detect decreased myelin within MS spinal cord plaques, NMO lesions, and PLS diffuse spinal cord injury. Decreased MWF in PLS is consistent with demyelination secondary to motor neuron degeneration. GRASE MWI is a feasible method for rapid assessment of myelin content in the cervical spinal cord and provides complementary information to that of DTI and qT
Sections du résumé
BACKGROUND
Rapid myelin water imaging (MWI) using a combined gradient and spin echo (GRASE) sequence can produce myelin specific metrics for the human brain. Spinal cord MWI could be similarly useful, but technical challenges have hindered routine application. GRASE rapid MWI was recently successfully implemented for imaging of healthy cervical spinal cord and may complement other advanced imaging methods, such as diffusion tensor imaging (DTI) and quantitative T
OBJECTIVE
To demonstrate the feasibility of cervical cord GRASE rapid MWI in multiple sclerosis (MS), primary lateral sclerosis (PLS) and neuromyelitis optica spectrum disorder (NMO), with comparison to DTI and qT
METHODS
GRASE MWI, DTI and qT
RESULTS
PLS subjects had low myelin water fraction (MWF) in the lateral funiculi compared to HC. RRMS subject MWF was heterogeneous within the cord. The PPMS subject showed no trends in ROI results but had a region of low MWF Z score corresponding to a focal lesion. The NMO subject with a longitudinally extensive transverse myelitis lesion had low values for whole cord mean MWF of 12.8% compared to 24.3% (standard deviation 2.2%) for HC. The NMO subject without lesions also had low MWF compared to HC. DTI and qT
CONCLUSION
GRASE is sufficiently sensitive to detect decreased myelin within MS spinal cord plaques, NMO lesions, and PLS diffuse spinal cord injury. Decreased MWF in PLS is consistent with demyelination secondary to motor neuron degeneration. GRASE MWI is a feasible method for rapid assessment of myelin content in the cervical spinal cord and provides complementary information to that of DTI and qT
Identifiants
pubmed: 31276928
pii: S2213-1582(19)30246-3
doi: 10.1016/j.nicl.2019.101896
pmc: PMC6611998
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
101896Informations de copyright
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.
Références
Eur J Neurol. 2017 Apr;24(4):652-658
pubmed: 28233435
Neuroimage. 2012 Mar;60(1):263-70
pubmed: 22155325
Neuroimage. 2012 Oct 15;63(1):533-9
pubmed: 22776448
Neuroimage Clin. 2015 Oct 03;9:574-80
pubmed: 26594633
J Neurotrauma. 2008 Jun;25(6):653-76
pubmed: 18578635
Neuroimage Clin. 2015 Sep 12;9:369-75
pubmed: 26594620
Neuroimage. 2018 Jan 15;165:170-179
pubmed: 29061527
Neurology. 1999 Sep 22;53(5):1107-14
pubmed: 10496275
Neuroimage. 2014 Jan 1;84:1070-81
pubmed: 23685159
Eur Radiol. 2009 Oct;19(10):2535-43
pubmed: 19415287
J Comput Assist Tomogr. 2006 Mar-Apr;30(2):304-6
pubmed: 16628052
Magn Reson Med. 2012 Jun;67(6):1803-14
pubmed: 22012743
Neuroimage Clin. 2015 Dec 04;10:192-238
pubmed: 26862478
Brain. 1992 Apr;115 ( Pt 2):495-520
pubmed: 1606479
Magn Reson Imaging. 2006 May;24(4):515-25
pubmed: 16677958
Magn Reson Med. 2009 Apr;61(4):883-92
pubmed: 19191283
J Neurol. 2004 Mar;251(3):284-93
pubmed: 15015007
Magn Reson Med. 1997 Jan;37(1):34-43
pubmed: 8978630
Brain. 1998 Apr;121 ( Pt 4):687-97
pubmed: 9577394
Amyotroph Lateral Scler Frontotemporal Degener. 2013 Dec;14(7-8):562-73
pubmed: 23678852
Magn Reson Med. 1994 Jun;31(6):673-7
pubmed: 8057820
Nat Rev Neurol. 2015 Jun;11(6):327-38
pubmed: 26009002
Magn Reson Imaging. 2014 Jun;32(5):457-63
pubmed: 24636569
J Neurol Neurosurg Psychiatry. 2009 Jan;80(1):53-5
pubmed: 18931009
Mult Scler. 2012 Sep;18(9):1259-68
pubmed: 22354742
Ann Neurol. 2014 Nov;76(5):643-57
pubmed: 25223628
Magn Reson Med. 2016 Mar;75(3):1341-5
pubmed: 25920491
Neural Regen Res. 2018 Mar;13(3):425-426
pubmed: 29623925
Magn Reson Med. 2017 Oct;78(4):1482-1487
pubmed: 28940333
Neurology. 1983 Nov;33(11):1444-52
pubmed: 6685237
Mult Scler. 2016 Oct;22(12):1616-1620
pubmed: 26920375
Mult Scler. 2016 Jan;22(1):43-50
pubmed: 25948623
Acad Radiol. 2014 May;21(5):590-6
pubmed: 24703471
Neurology. 2017 Aug 8;89(6):602-610
pubmed: 28701500
Neuroimage. 2018 Mar;168:437-451
pubmed: 28684332
Magn Reson Med. 2011 Feb;65(2):551-6
pubmed: 20882672
Neuroimage. 2011 Jan 15;54(2):1083-90
pubmed: 20832480
J Dev Behav Pediatr. 2010 May;31(4):346-56
pubmed: 20453582
Mult Scler. 2006 Dec;12(6):747-53
pubmed: 17263002
J Neurol. 2008 Feb;255(2):163-70
pubmed: 18231705
PLoS One. 2016 Mar 18;11(3):e0151496
pubmed: 26990645
J Neuroimaging. 2007 Apr;17(2):156-63
pubmed: 17441837
Neuroimage. 2010 Nov 1;53(2):576-83
pubmed: 20600964
Neuroimage Clin. 2018 Mar 15;18:762-769
pubmed: 29785360
Neurobiol Aging. 2015 Jun;36(6):2107-21
pubmed: 25840837
Neuroimage. 2017 Jan 15;145(Pt A):24-43
pubmed: 27720818
J Neuroradiol. 2012 Dec;39(5):295-300
pubmed: 22172647
J Magn Reson Imaging. 2011 Jun;33(6):1312-20
pubmed: 21590999
J Magn Reson Imaging. 2015 Mar;41(3):700-7
pubmed: 24578324
Eur J Radiol. 2012 Oct;81(10):2697-701
pubmed: 22192780
J Magn Reson Imaging. 2007 Oct;26(4):1106-11
pubmed: 17896356
Mult Scler. 2010 Jun;16(6):670-7
pubmed: 20558500
Neuroimage Clin. 2017 Jun 16;16:17-22
pubmed: 28725551
Neuroimage. 2019 Jan 1;184:901-915
pubmed: 30300751
Neuroimage. 2008 May 1;40(4):1575-80
pubmed: 18321730
Klin Neuroradiol. 2009 Jun;19(2):129-34
pubmed: 19636503