1
|
Morozumi T, Preziosa P, Meani A, Pessina G, Pagani E, Azzimonti M, Filippi M, Rocca MA. Brain and cervical spinal cord MRI correlates of sensorimotor impairment in patients with multiple sclerosis. Mult Scler 2024; 30:1004-1015. [PMID: 38912804 DOI: 10.1177/13524585241260145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/25/2024]
Abstract
BACKGROUND Cervical spinal cord (cSC) lesions and atrophy contribute to disability in multiple sclerosis (MS), but associations with specific sensorimotor dysfunction require further exploration. OBJECTIVE To investigate the associations of brain and cSC magnetic resonance imaging (MRI) measures with sensorimotor impairment in MS. METHODS One hundred fifty-one MS patients and 69 healthy controls underwent 3T MRI and clinical assessments including Expanded Disability Status Scale (EDSS), 9-hole peg test (9-HPT), finger tapping test (FTT), timed 25-foot walk test (T25FWT), and vibration detection threshold (VDT). Random forest ranked brain (T2-hyperintense lesion volume (T2-LV) and normalized deep gray matter (GM), cortical and white matter (WM) volumes) and cSC (T2-LV and total, GM, and WM cross-sectional areas (CSAs) at C2/C3 level) MRI measures relevance in explaining EDSS milestones (EDSS ⩾3.0, ⩾4.0, and ⩾6.0), VDT, pyramidal and sensory functional systems (P-FS and S-FS ⩾2), and motor tests impairment. RESULTS Various combinations of brain and cSC MRI measures explained EDSS milestones (area under the curve (AUC) =0.879-0.900), VDT (R2 = 0.194), and impaired P-FS (AUC = 0.820), S-FS (AUC = 0.795), 9-HPT (AUC = 0.793), FTT (AUC = 0.740), and T25FWT (AUC = 0.825). cSC GM CSA was the most informative feature for all outcomes, except 9-HPT. CONCLUSION cSC MRI measures, especially GM CSA, explain EDSS and sensorimotor dysfunction better than brain measures in MS.
Collapse
Affiliation(s)
- Tetsu Morozumi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy/Vita-Salute San Raffaele University, Milan, Italy
| | - Alessandro Meani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Giorgia Pessina
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Elisabetta Pagani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Matteo Azzimonti
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy/Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy/Vita-Salute San Raffaele University, Milan, Italy
| |
Collapse
|
2
|
Kreiter D, Postma AA, Hupperts R, Gerlach O. Hallmarks of spinal cord pathology in multiple sclerosis. J Neurol Sci 2024; 456:122846. [PMID: 38142540 DOI: 10.1016/j.jns.2023.122846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 12/13/2023] [Indexed: 12/26/2023]
Abstract
A disparity exists between spinal cord and brain involvement in multiple sclerosis (MS), each independently contributing to disability. Underlying differences between brain and cord are not just anatomical in nature (volume, white/grey matter organization, vascularization), but also in barrier functions (differences in function and composition of the blood-spinal cord barrier compared to blood-brain barrier) and possibly in repair mechanisms. Also, immunological phenotypes seem to influence localization of inflammatory activity. Whereas the brain has gained a lot of attention in MS research, the spinal cord lags behind. Advanced imaging techniques and biomarkers are improving and providing us with tools to uncover the mechanisms of spinal cord pathology in MS. In the present review, we elaborate on the underlying anatomical and physiological factors driving differences between brain and cord involvement in MS and review current literature on pathophysiology of spinal cord involvement in MS and the observed differences to brain involvement.
Collapse
Affiliation(s)
- Daniel Kreiter
- Academic MS Center Zuyd, Department of Neurology, Zuyderland MC, Sittard-Geleen, the Netherlands; School for Mental Health and Neuroscience, Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands.
| | - Alida A Postma
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Raymond Hupperts
- Academic MS Center Zuyd, Department of Neurology, Zuyderland MC, Sittard-Geleen, the Netherlands; School for Mental Health and Neuroscience, Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Oliver Gerlach
- Academic MS Center Zuyd, Department of Neurology, Zuyderland MC, Sittard-Geleen, the Netherlands; School for Mental Health and Neuroscience, Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| |
Collapse
|
3
|
Bian B, Zhou B, Shao Z, Zhu X, Jie Y, Li D. Feasibility of diffusion kurtosis imaging in evaluating cervical spinal cord injury in multiple sclerosis. Medicine (Baltimore) 2023; 102:e34205. [PMID: 37478237 PMCID: PMC10662919 DOI: 10.1097/md.0000000000034205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 06/14/2023] [Indexed: 07/23/2023] Open
Abstract
This research aimed to assess gray matter (GM), white matter (WM), lesions of multiple sclerosis (MS) and the therapeutic effect using diffusion kurtosis imaging (DKI). From January 2018 to October 2019, 78 subjects (48 of MS and 30 of health) perform routine MR scan and DKI of cervical spinal cord. The MS patients were divided into 2 groups according to the presence or absence of T2 hyperintensity. DKI-metrics were measured in the lesions, normal-appearing GM and WM. Significant differences were detected in DKI metrics between MS and healthy (P < .05) and between patients with cervical spinal cord T2-hyperintense and without T2-hyperintense (P < .001). Compared to healthy, GM-mean kurtosis (MK), GM-radial kurtosis, and WM-fractional anisotropy, WM-axial diffusion were statistically reduced in patients without T2-hyperintense (P < .05). Significant differences were observed in DKI metrics between patients with T2-hyperintense after therapy (P < .05), as well as GM-MK and WM-fractional anisotropy, WM-axial diffusion in patients without T2-hyperintense (P < .05); Expanded Disability Status Scale was correlated with MK values, as well as Expanded Disability Status Scale scores and MK values after therapy. Our results indicate that DKI-metrics can detect and quantitatively evaluate the changes in cervical spinal cord micropathological structure.
Collapse
Affiliation(s)
- BingYang Bian
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - BoXu Zhou
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - ZhiQing Shao
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - XiaoNa Zhu
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - YiGe Jie
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - Dan Li
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| |
Collapse
|
4
|
Mahmud SZ, Denney TS, Bashir A. Feasibility of spinal cord imaging at 7 T using rosette trajectory with magnetization transfer preparation and compressed sensing. Sci Rep 2023; 13:8777. [PMID: 37258697 DOI: 10.1038/s41598-023-35853-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 05/24/2023] [Indexed: 06/02/2023] Open
Abstract
MRI is a valuable diagnostic tool to investigate spinal cord (SC) pathology. SC MRI can benefit from the increased signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) at ultra-high fields such as 7 T. However, SC MRI acquisitions with routine Cartesian readouts are prone to image artifacts caused by physiological motion. MRI acquisition techniques with non-Cartesian readouts such as rosette can help reduce motion artifacts. The purpose of this study was to demonstrate the feasibility of high-resolution SC imaging using rosette trajectory with magnetization transfer preparation (MT-prep) and compressed sensing (CS) at 7 T. Five healthy volunteers participated in the study. Images acquired with rosette readouts demonstrated reduced motion artifacts compared to the standard Cartesian readouts. The combination of multi-echo rosette-readout images improved the CNR by approximately 50% between the gray matter (GM) and white matter (WM) compared to single-echo images. MT-prep images showed excellent contrast between the GM and WM with magnetization transfer ratio (MTR) and cerebrospinal fluid normalized MT signal (MTCSF) = 0.12 ± 0.017 and 0.74 ± 0.013, respectively, for the GM; and 0.18 ± 0.011 and 0.58 ± 0.009, respectively, for the WM. Under-sampled acquisition using rosette readout with CS reconstruction demonstrated up to 6 times faster scans with comparable image quality as the fully-sampled acquisition.
Collapse
Affiliation(s)
- Sultan Z Mahmud
- Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA
- Auburn University MRI Research Center, Auburn University, Auburn, AL, USA
| | - Thomas S Denney
- Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA
- Auburn University MRI Research Center, Auburn University, Auburn, AL, USA
| | - Adil Bashir
- Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA.
- Auburn University MRI Research Center, Auburn University, Auburn, AL, USA.
| |
Collapse
|
5
|
Neurofilament light chains in serum as biomarkers of axonal damage in early MS lesions: a histological-serological correlative study. J Neurol 2023; 270:1416-1429. [PMID: 36372867 PMCID: PMC9971126 DOI: 10.1007/s00415-022-11468-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 10/29/2022] [Accepted: 10/31/2022] [Indexed: 11/15/2022]
Abstract
Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease associated with axonal injury, and neurofilament light chains in serum (sNfL) are considered a biomarker for this damage. We aimed to investigate the relationship between sNfL and the axonal damage in early MS lesions in a special cohort of biopsied patients. sNfL from 106 biopsied patients with 26 follow-up samples were analyzed using single-molecule array (SiMoA) technology. Findings were correlated with clinical parameters and histological findings of acute axonal damage (APP-positive spheroids) and axonal loss in different lesion stages. A median of 59 pg/ml sNfL was found (range 8-3101 pg/ml). sNfL levels correlated with APP-positive spheroids in early active demyelinating lesions that represent the earliest lesion stages (p < 0.01). A significant negative correlation between sNfL levels in follow-up blood samples and axonal density in normal-appearing white matter was also observed (p = 0.02). sNfL levels correlated with the Expanded Disability Status Score at biopsy (p < 0.01, r = 0.49) and at last clinical follow-up (p < 0.01, r = 0.66). In conclusion, sNfL likely represent a compound measure of recent and ongoing neuroaxonal damage. We found that sNfL in biopsied MS patients correlate with acute axonal damage in the earliest MS lesion stages. Determination of sNfL levels thus allows insight into brain pathology and underlines the relevance of relapse-associated lesional pathology. Axonal loss in normal-appearing white matter contributes to sNfL levels independent of relapses. Since sNfL levels correlate with clinical disability, they may predict the future disability of patients and help with individual treatment decisions.
Collapse
|
6
|
Combes AJ, Clarke MA, O'Grady KP, Schilling KG, Smith SA. Advanced spinal cord MRI in multiple sclerosis: Current techniques and future directions. Neuroimage Clin 2022; 36:103244. [PMID: 36306717 PMCID: PMC9668663 DOI: 10.1016/j.nicl.2022.103244] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 09/02/2022] [Accepted: 10/19/2022] [Indexed: 11/11/2022]
Abstract
Spinal cord magnetic resonance imaging (MRI) has a central role in multiple sclerosis (MS) clinical practice for diagnosis and disease monitoring. Advanced MRI sequences capable of visualizing and quantifying tissue macro- and microstructure and reflecting different pathological disease processes have been used in MS research; however, the spinal cord remains under-explored, partly due to technical obstacles inherent to imaging this structure. We propose that the study of the spinal cord merits equal ambition in overcoming technical challenges, and that there is much information to be exploited to make valuable contributions to our understanding of MS. We present a narrative review on the latest progress in advanced spinal cord MRI in MS, covering in the first part structural, functional, metabolic and vascular imaging methods. We focus on recent studies of MS and those making significant technical steps, noting the challenges that remain to be addressed and what stands to be gained from such advances. Throughout we also refer to other works that presend more in-depth review on specific themes. In the second part, we present several topics that, in our view, hold particular potential. The need for better imaging of gray matter is discussed. We stress the importance of developing imaging beyond the cervical spinal cord, and explore the use of ultra-high field MRI. Finally, some recommendations are given for future research, from study design to newer developments in analysis, and the need for harmonization of sequences and methods within the field. This review is aimed at researchers and clinicians with an interest in gaining an overview of the current state of advanced MRI research in this field and what is primed to be the future of spinal cord imaging in MS research.
Collapse
Affiliation(s)
- Anna J.E. Combes
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States,Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232, United States,Corresponding author at: 1161 21st Ave S, MCN AA1105, Nashville, TN 37232, USA.
| | - Margareta A. Clarke
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States
| | - Kristin P. O'Grady
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States,Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232, United States,Department of Biomedical Engineering, Vanderbilt University, 2301 Vanderbilt Place, PMB 351826, Nashville, TN 37235-1826, United States
| | - Kurt G. Schilling
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States,Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232, United States
| | - Seth A. Smith
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States,Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232, United States,Department of Biomedical Engineering, Vanderbilt University, 2301 Vanderbilt Place, PMB 351826, Nashville, TN 37235-1826, United States
| |
Collapse
|
7
|
Clarkson BDS, Grund E, David K, Johnson RK, Howe CL. ISGylation is induced in neurons by demyelination driving ISG15-dependent microglial activation. J Neuroinflammation 2022; 19:258. [PMID: 36261842 PMCID: PMC9583544 DOI: 10.1186/s12974-022-02618-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 10/07/2022] [Indexed: 11/22/2022] Open
Abstract
The causes of grey matter pathology and diffuse neuron injury in MS remain incompletely understood. Axonal stress signals arising from white matter lesions has been suggested to play a role in initiating this diffuse grey matter pathology. Therefore, to identify the most upstream transcriptional responses in neurons arising from demyelinated axons, we analyzed the transcriptome of actively translating neuronal transcripts in mouse models of demyelinating disease. Among the most upregulated genes, we identified transcripts associated with the ISGylation pathway. ISGylation refers to the covalent attachment of the ubiquitin-like molecule interferon stimulated gene (ISG) 15 to lysine residues on substrates targeted by E1 ISG15-activating enzyme, E2 ISG15-conjugating enzymes and E3 ISG15-protein ligases. We further confirmed that ISG15 expression is increased in MS cortical and deep gray matter. Upon investigating the functional impact of neuronal ISG15 upregulation, we noted that ISG15 expression was associated changes in neuronal extracellular vesicle protein and miRNA cargo. Specifically, extracellular vesicle-associated miRNAs were skewed toward increased frequency of proinflammatory and neurotoxic miRNAs and decreased frequency of anti-inflammatory and neuroprotective miRNAs. Furthermore, we found that ISG15 directly activated microglia in a CD11b-dependent manner and that microglial activation was potentiated by treatment with EVs from neurons expressing ISG15. Further study of the role of ISG15 and ISGylation in neurons in MS and neurodegenerative diseases is warranted.
Collapse
Affiliation(s)
- Benjamin D. S. Clarkson
- grid.66875.3a0000 0004 0459 167XDepartment of Neurology, Mayo Clinic, Rochester, MN 55905 USA ,grid.66875.3a0000 0004 0459 167XDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Guggenheim 1521C, 200 First Street SW, Rochester, MN 55905 USA
| | - Ethan Grund
- grid.66875.3a0000 0004 0459 167XDepartment of Neurology, Mayo Clinic, Rochester, MN 55905 USA ,grid.66875.3a0000 0004 0459 167XMayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic Alix School of Medicine and Mayo Clinic Medical Scientist Training Program, MN 55905 Rochester, USA
| | - Kenneth David
- grid.418935.20000 0004 0436 053XConcordia College, Moorhead, MN USA
| | - Renee K. Johnson
- grid.66875.3a0000 0004 0459 167XDepartment of Neurology, Mayo Clinic, Rochester, MN 55905 USA
| | - Charles L. Howe
- grid.66875.3a0000 0004 0459 167XDepartment of Neurology, Mayo Clinic, Rochester, MN 55905 USA ,grid.66875.3a0000 0004 0459 167XDivision of Experimental Neurology, Mayo Clinic, Rochester, MN 55905 USA ,grid.66875.3a0000 0004 0459 167XCenter for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, MN 55905 USA
| |
Collapse
|
8
|
Scalabrino G. Newly Identified Deficiencies in the Multiple Sclerosis Central Nervous System and Their Impact on the Remyelination Failure. Biomedicines 2022; 10:biomedicines10040815. [PMID: 35453565 PMCID: PMC9026986 DOI: 10.3390/biomedicines10040815] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 03/18/2022] [Accepted: 03/21/2022] [Indexed: 12/14/2022] Open
Abstract
The pathogenesis of multiple sclerosis (MS) remains enigmatic and controversial. Myelin sheaths in the central nervous system (CNS) insulate axons and allow saltatory nerve conduction. MS brings about the destruction of myelin sheaths and the myelin-producing oligodendrocytes (ODCs). The conundrum of remyelination failure is, therefore, crucial in MS. In this review, the roles of epidermal growth factor (EGF), normal prions, and cobalamin in CNS myelinogenesis are briefly summarized. Thereafter, some findings of other authors and ourselves on MS and MS-like models are recapitulated, because they have shown that: (a) EGF is significantly decreased in the CNS of living or deceased MS patients; (b) its repeated administration to mice in various MS-models prevents demyelination and inflammatory reaction; (c) as was the case for EGF, normal prion levels are decreased in the MS CNS, with a strong correspondence between liquid and tissue levels; and (d) MS cobalamin levels are increased in the cerebrospinal fluid, but decreased in the spinal cord. In fact, no remyelination can occur in MS if these molecules (essential for any form of CNS myelination) are lacking. Lastly, other non-immunological MS abnormalities are reviewed. Together, these results have led to a critical reassessment of MS pathogenesis, partly because EGF has little or no role in immunology.
Collapse
Affiliation(s)
- Giuseppe Scalabrino
- Department of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy
| |
Collapse
|
9
|
Simultaneous assessment of regional distributions of atrophy across the neuraxis in MS patients. Neuroimage Clin 2022; 34:102985. [PMID: 35316667 PMCID: PMC8938332 DOI: 10.1016/j.nicl.2022.102985] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 03/05/2022] [Accepted: 03/07/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND The ability to assess brain and cord atrophy simultaneously would improve the efficiency of MRI to track disease evolution. OBJECTIVE To test a promising tool to simultaneously map the regional distribution of atrophy in multiple sclerosis (MS) patients across the brain and cord. METHODS Voxel-based morphometry combined with a statistical parametric mapping probabilistic brain-spinal cord (SPM-BSC) template was applied to standard T1-weighted magnetic resonance imaging (MRI) scans covering the brain and cervical cord from 37 MS patients and 20 healthy controls (HC). We also measured the cord area at C2-C3 with a semi-automatic segmentation method using (i) the same T1-weighted acquisitions used for the new voxel-based analysis and (ii) dedicated spinal cord phase sensitive inversion recovery (PSIR) acquisitions. Cervical cord findings derived from the three approaches were compared to each other and the goodness to fit to clinical scores was assessed by regression analyses. RESULTS The SPM-BSC approach revealed a severity-dependent pattern of atrophy across the cervical cord and thalamus in MS patients when compared to HCs. The magnitude of cord atrophy was confirmed by the semi-automatic extraction approach at C2-C3 using both standard brain T1-weighted and advanced cord dedicated acquisitions. Associations between atrophy of cord and thalamus with disability and cognition were demonstrated. CONCLUSION Atrophy in the brain and cervical cord of MS patients can be identified simultaneously and rapidly at the voxel-level. The SPM-BSC approach yields similar results as available standard processing tools with the added advantage of performing the analysis simultaneously and faster.
Collapse
|
10
|
Neurophysiological outcomes following mesenchymal stem cell therapy in multiple sclerosis. Clin Neurophysiol 2022; 136:69-81. [DOI: 10.1016/j.clinph.2022.01.125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 12/22/2021] [Accepted: 01/05/2022] [Indexed: 11/18/2022]
|
11
|
Pardo G, Coates S, Okuda DT. Outcome measures assisting treatment optimization in multiple sclerosis. J Neurol 2021; 269:1282-1297. [PMID: 34338857 PMCID: PMC8857110 DOI: 10.1007/s00415-021-10674-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 06/14/2021] [Accepted: 06/16/2021] [Indexed: 11/30/2022]
Abstract
Objective To review instruments used to assess disease stability or progression in persons with multiple sclerosis (pwMS) that can guide clinicians in optimizing therapy. Methods A non-systematic review of scientific literature was undertaken to explore modalities of monitoring symptoms and the disease evolution of MS. Results Multiple outcome measures, or tools, have been developed for use in MS research as well as for the clinical management of pwMS. Beginning with the Expanded Disability Status Scale, introduced in 1983, clinicians and researchers have developed monitoring modalities to assess all aspects of MS and the neurological impairment it causes. Conclusions Much progress has been made in recent decades for the management of MS and for the evaluation of disease progression. New technology, such as wearable sensors, will provide new opportunities to better understand changes in function, dexterity, and cognition. Essential work over the decades since EDSS was introduced continues to improve our ability to treat this debilitating disease.
Collapse
Affiliation(s)
- Gabriel Pardo
- OMRF Multiple Sclerosis Center of Excellence, Oklahoma Medical Research Foundation, 820 NE 15th Street, Oklahoma City, OK, 73104, USA.
| | | | - Darin T Okuda
- Department of Neurology, University of Texas Southwestern, Dallas, TX, USA
| |
Collapse
|
12
|
Granziera C, Wuerfel J, Barkhof F, Calabrese M, De Stefano N, Enzinger C, Evangelou N, Filippi M, Geurts JJG, Reich DS, Rocca MA, Ropele S, Rovira À, Sati P, Toosy AT, Vrenken H, Gandini Wheeler-Kingshott CAM, Kappos L. Quantitative magnetic resonance imaging towards clinical application in multiple sclerosis. Brain 2021; 144:1296-1311. [PMID: 33970206 PMCID: PMC8219362 DOI: 10.1093/brain/awab029] [Citation(s) in RCA: 68] [Impact Index Per Article: 22.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 10/25/2020] [Accepted: 11/16/2020] [Indexed: 12/11/2022] Open
Abstract
Quantitative MRI provides biophysical measures of the microstructural integrity of the CNS, which can be compared across CNS regions, patients, and centres. In patients with multiple sclerosis, quantitative MRI techniques such as relaxometry, myelin imaging, magnetization transfer, diffusion MRI, quantitative susceptibility mapping, and perfusion MRI, complement conventional MRI techniques by providing insight into disease mechanisms. These include: (i) presence and extent of diffuse damage in CNS tissue outside lesions (normal-appearing tissue); (ii) heterogeneity of damage and repair in focal lesions; and (iii) specific damage to CNS tissue components. This review summarizes recent technical advances in quantitative MRI, existing pathological validation of quantitative MRI techniques, and emerging applications of quantitative MRI to patients with multiple sclerosis in both research and clinical settings. The current level of clinical maturity of each quantitative MRI technique, especially regarding its integration into clinical routine, is discussed. We aim to provide a better understanding of how quantitative MRI may help clinical practice by improving stratification of patients with multiple sclerosis, and assessment of disease progression, and evaluation of treatment response.
Collapse
Affiliation(s)
- Cristina Granziera
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center, Basel, Switzerland
- Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, multiple sclerosis Center Amsterdam, Amsterdam University Medical Center, Amsterdam, The Netherlands
- UCL Institutes of Healthcare Engineering and Neurology, London, UK
| | - Massimiliano Calabrese
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Nicola De Stefano
- Neurology, Department of Medicine, Surgery and Neuroscience, University of Siena, Italy
| | - Christian Enzinger
- Department of Neurology and Division of Neuroradiology, Medical University of Graz, Graz, Austria
| | - Nikos Evangelou
- Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, and Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Jeroen J G Geurts
- Department of Anatomy and Neurosciences, multiple sclerosis Center Amsterdam, Neuroscience Amsterdam, Amsterdam University Medical Centers, location VUmc, Amsterdam, The Netherlands
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD, USA
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, and Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Stefan Ropele
- Neuroimaging Research Unit, Department of Neurology, Medical University of Graz, Graz, Austria
| | - Àlex Rovira
- Section of Neuroradiology (Department of Radiology), Vall d'Hebron University Hospital and Research Institute, Barcelona, Spain
| | - Pascal Sati
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD, USA
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Ahmed T Toosy
- Queen Square multiple sclerosis Centre, Department of Neuroinflammation, Queen Square Institute of Neurology, University College London, London, UK
| | - Hugo Vrenken
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, multiple sclerosis Center Amsterdam, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Claudia A M Gandini Wheeler-Kingshott
- Queen Square multiple sclerosis Centre, Department of Neuroinflammation, Queen Square Institute of Neurology, University College London, London, UK
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
- Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| |
Collapse
|
13
|
Fuchs TA, Dwyer MG, Jakimovski D, Bergsland N, Ramasamy DP, Weinstock-Guttman B, Hb Benedict R, Zivadinov R. Quantifying disease pathology and predicting disease progression in multiple sclerosis with only clinical routine T2-FLAIR MRI. NEUROIMAGE-CLINICAL 2021; 31:102705. [PMID: 34091352 PMCID: PMC8182301 DOI: 10.1016/j.nicl.2021.102705] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 05/12/2021] [Accepted: 05/19/2021] [Indexed: 12/17/2022]
Abstract
We explored five brain pathology measures from clinical-quality T2-FLAIR MRI in MS. These included LVV, thalamus volume, MOV, SCLV and network efficiency. T2-FLAIR measures predicted a majority of the variance in research-quality MRI. T2-FLAIR measures correlated with neurologic disability and cognitive function. T2-FLAIR measures predicted disability progression over five-years. T2-FLAIR measures can be used in legacy clinical datasets.
Background Although quantitative measures from research-quality MRI provide a means to study multiple sclerosis (MS) pathology in vivo, these metrics are often unavailable in legacy clinical datasets. Objective To determine how well an automatically-generated quantitative snapshot of brain pathology, measured only on clinical routine T2-FLAIR MRI, can substitute for more conventional measures on research MRI in terms of capturing multi-factorial disease pathology and providing similar clinical relevance. Methods MRI with both research-quality sequences and conventional clinical T2-FLAIR was acquired for 172 MS patients at baseline, and neurologic disability was assessed at baseline and five-years later. Five measures (thalamus volume, lateral ventricle volume, medulla oblongata volume, lesion volume, and network efficiency) for quantifying disparate aspects of neuropathology from low-resolution T2-FLAIR were applied to predict standard research-quality MRI measures. They were compared in regard to association with future neurologic disability and disease progression over five years. Results The combination of the five T2-FLAIR measures explained most of the variance in standard research-quality MRI. T2-FLAIR measures were associated with neurologic disability and cognitive function five-years later (R2 = 0.279, p < 0.001; R2 = 0.382, p < 0.001), similar to standard research-quality MRI (R2 = 0.279, p < 0.001; R2 = 0.366, p < 0.001). They also similarly predicted disability progression over five years (%-correctly-classified = 69.8, p = 0.034), compared to standard research-quality MRI (%-correctly-classified = 72.4%, p = 0.022) in relapsing-remitting MS. Conclusion A set of five T2-FLAIR-only measures can substitute for standard research-quality MRI, especially in relapsing-remitting MS. When only clinical T2-FLAIR is available, it can be used to obtain substantially more quantitative information about brain pathology and disability than is currently standard practice.
Collapse
Affiliation(s)
- Tom A Fuchs
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Deepa P Ramasamy
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Ralph Hb Benedict
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
| |
Collapse
|
14
|
A matter of atrophy: differential impact of brain and spine damage on disability worsening in multiple sclerosis. J Neurol 2021; 268:4698-4706. [PMID: 33942160 PMCID: PMC8563557 DOI: 10.1007/s00415-021-10576-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 04/20/2021] [Accepted: 04/21/2021] [Indexed: 11/29/2022]
Abstract
As atrophy represents the most relevant driver of progression in multiple sclerosis (MS), we investigated the impact of different patterns of brain and spinal cord atrophy on disability worsening in MS. We acquired clinical and MRI data from 90 patients with relapsing–remitting MS and 24 healthy controls (HC). Clinical progression at follow-up (mean 3.7 years) was defined according to the Expanded Disability Status Scale-Plus. Brain and spinal cord volumes were computed on MRI brain scans. After normalizing each participants’ brain and spine volume to the mean of the HC, z-score cut-offs were applied to separate pathologically atrophic from normal brain and spine volumes (accepting a 2.5% error probability). Accordingly, MS patients were classified into four groups (Group I: no brain or spinal cord atrophy N = 40, Group II: brain atrophy/no spinal cord atrophy N = 11, Group III: no brain atrophy/ spinal cord atrophy N = 32, Group IV: both brain and spinal cord atrophy N = 7). All patients’ groups showed significantly lower brain volume than HC (p < 0.0001). Group III and IV showed lower spine volume than HC (p < 0.0001 for both). Higher brain lesion load was identified in Group II (p = 0.049) and Group IV (p = 0.023) vs Group I, and in Group IV (p = 0.048) vs Group III. Spinal cord atrophy (OR = 3.75, p = 0.018) and brain + spinal cord atrophy (OR = 5.71, p = 0.046) were significant predictors of disability progression. The presence of concomitant brain and spinal cord atrophy is the strongest correlate of progression over time. Isolated spinal cord atrophy exerts a similar effect, confirming the leading role of spinal cord atrophy in the determination of motor disability.
Collapse
|
15
|
Jeong K, Shah LM, Lee YJ, Thapa B, Sapkota N, Bisson E, Carlson NG, Jeong EK, Rose JW. High-b diffusivity of MS lesions in cervical spinal cord using ultrahigh-b DWI (UHb-DWI). Neuroimage Clin 2021; 30:102610. [PMID: 33752076 PMCID: PMC7985401 DOI: 10.1016/j.nicl.2021.102610] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 02/11/2021] [Accepted: 02/18/2021] [Indexed: 12/27/2022]
Abstract
PURPOSE The purpose of this study was to investigate UHb-rDWI signal in white matter tracts of the cervical spinal cord (CSC) and compare quantitative values between healthy control WM with both MS NAWM and MS WM lesions. METHODS UHb-rDWI experiments were performed on (a) 7 MS patients with recently active or chronic lesions in CSC and on (b) 7 healthy control of similar age range and gender distribution to MS subjects. All MRI data were acquired using clinical 3T MRI system. Axial high-b diffusion images were acquired using 2D single-shot DW stimulated EPI with reduced FOV and a CSC-dedicated 8 channel array coil. High-b diffusion coefficient DH was estimated by fitting the signal-b curve to a double or single-exponential function. RESULTS The high-b diffusivity DH values were measured as (0.767 ± 0.297) × 10-3 mm2/s in the posterior column lesions, averaged over 6 MS patients, and 0.587 × 10-3 mm2/s in the corticospinal tract for another patient. The averaged DH values of the 7 healthy volunteers from the posterior and lateral column were (0.0312 ± 0.0306) × 10-3 and (0.0505 ± 0.0205) × 10-3 mm2/s, respectively. UHb-rDWI signal-b curves of the MS patients revealed to noticeably behave differently to that of the healthy controls. The patient signal-b curves decayed with greater high-b decay constants to reach lower signal intensities relative to signal-b curves of the healthy controls. CONCLUSION UHb-DWI of the CSC reveals a marked difference in signal-b-curves and DH values in MS lesions compared to NAWM and healthy control WM. Based on physical principles, we interpret these altered observations of quantitative diffusion values to be indicative of demyelination. Further studies in animal models will be required to fully interpret UHb-DWI quantitative diffusion values during demyelination and remyelination.
Collapse
Affiliation(s)
- Kyle Jeong
- Utah Center for Advanced Imaging Research, University of Utah, Utah, USA
| | - Lubdha M Shah
- Department of Radiology and Imaging Sciences, University of Utah, Utah, USA
| | - You-Jung Lee
- Utah Center for Advanced Imaging Research, University of Utah, Utah, USA
| | - Bijaya Thapa
- Utah Center for Advanced Imaging Research, University of Utah, Utah, USA
| | - Nabraj Sapkota
- Utah Center for Advanced Imaging Research, University of Utah, Utah, USA
| | - Erica Bisson
- Department of Neurosurgery, University of Utah, Utah, USA
| | - Noel G Carlson
- Neuroimmunology and Neurovirology Division, Department of Neurology, University of Utah, Utah, USA; GRECC, VA Salt Lake City Health Care System, Utah, USA; Department of Neurobiology, University of Utah, Utah, USA
| | - E K Jeong
- Utah Center for Advanced Imaging Research, University of Utah, Utah, USA; Department of Radiology and Imaging Sciences, University of Utah, Utah, USA
| | - John W Rose
- Neuroimmunology and Neurovirology Division, Department of Neurology, University of Utah, Utah, USA; Neurology Service, VA Salt Lake City Health Care System, Utah, USA.
| |
Collapse
|
16
|
Ouellette R, Treaba CA, Granberg T, Herranz E, Barletta V, Mehndiratta A, De Leener B, Tauhid S, Yousuf F, Dupont SM, Klawiter EC, Sloane JA, Bakshi R, Cohen-Adad J, Mainero C. 7 T imaging reveals a gradient in spinal cord lesion distribution in multiple sclerosis. Brain 2021; 143:2973-2987. [PMID: 32935834 DOI: 10.1093/brain/awaa249] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 06/03/2020] [Accepted: 06/29/2020] [Indexed: 12/11/2022] Open
Abstract
We used 7 T MRI to: (i) characterize the grey and white matter pathology in the cervical spinal cord of patients with early relapsing-remitting and secondary progressive multiple sclerosis; (ii) assess the spinal cord lesion spatial distribution and the hypothesis of an outside-in pathological process possibly driven by CSF-mediated immune cytotoxic factors; and (iii) evaluate the association of spinal cord pathology with brain burden and its contribution to neurological disability. We prospectively recruited 20 relapsing-remitting, 15 secondary progressive multiple sclerosis participants and 11 age-matched healthy control subjects to undergo 7 T imaging of the cervical spinal cord and brain as well as conventional 3 T brain acquisition. Cervical spinal cord imaging at 7 T was used to segment grey and white matter, including lesions therein. Brain imaging at 7 T was used to segment cortical and white matter lesions and 3 T imaging for cortical thickness estimation. Cervical spinal cord lesions were mapped voxel-wise as a function of distance from the inner central canal CSF pool to the outer subpial surface. Similarly, brain white matter lesions were mapped voxel-wise as a function of distance from the ventricular system. Subjects with relapsing-remitting multiple sclerosis showed a greater predominance of spinal cord lesions nearer the outer subpial surface compared to secondary progressive cases. Inversely, secondary progressive participants presented with more centrally located lesions. Within the brain, there was a strong gradient of lesion formation nearest the ventricular system that was most evident in participants with secondary progressive multiple sclerosis. Lesion fractions within the spinal cord grey and white matter were related to the lesion fraction in cerebral white matter. Cortical thinning was the primary determinant of the Expanded Disability Status Scale, white matter lesion fractions in the spinal cord and brain of the 9-Hole Peg Test and cortical thickness and spinal cord grey matter cross-sectional area of the Timed 25-Foot Walk. Spinal cord lesions were localized nearest the subpial surfaces for those with relapsing-remitting and the central canal CSF surface in progressive disease, possibly implying CSF-mediated pathogenic mechanisms in lesion development that may differ between multiple sclerosis subtypes. These findings show that spinal cord lesions involve both grey and white matter from the early multiple sclerosis stages and occur mostly independent from brain pathology. Despite the prevalence of cervical spinal cord lesions and atrophy, brain pathology seems more strongly related to physical disability as measured by the Expanded Disability Status Scale.
Collapse
Affiliation(s)
- Russell Ouellette
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Constantina A Treaba
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Tobias Granberg
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Department of Radiology, Karolinska University Hospital, Stockholm, Sweden.,Harvard Medical School, Boston, MA, USA
| | - Elena Herranz
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Valeria Barletta
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Ambica Mehndiratta
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - Benjamin De Leener
- Department of Computer Engineering and Software Engineering, Polytechnique Montreal, Montreal, QC, Canada
| | - Shahamat Tauhid
- Harvard Medical School, Boston, MA, USA.,Brigham and Women's Hospital, Boston, MA, USA
| | - Fawad Yousuf
- Harvard Medical School, Boston, MA, USA.,Brigham and Women's Hospital, Boston, MA, USA
| | - Sarah M Dupont
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
| | - Eric C Klawiter
- Harvard Medical School, Boston, MA, USA.,Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Jacob A Sloane
- Harvard Medical School, Boston, MA, USA.,Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Rohit Bakshi
- Harvard Medical School, Boston, MA, USA.,Brigham and Women's Hospital, Boston, MA, USA
| | - Julien Cohen-Adad
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
| | - Caterina Mainero
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Boston, MA, USA
| |
Collapse
|
17
|
Imaging of the Spinal Cord in Multiple Sclerosis: Past, Present, Future. Brain Sci 2020; 10:brainsci10110857. [PMID: 33202821 PMCID: PMC7696997 DOI: 10.3390/brainsci10110857] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 10/30/2020] [Accepted: 11/11/2020] [Indexed: 11/17/2022] Open
Abstract
Spinal cord imaging in multiple sclerosis (MS) plays a significant role in diagnosing and tracking disease progression. The spinal cord is one of four key areas of the central nervous system where documenting the dissemination in space in the McDonald criteria for diagnosing MS. Spinal cord lesion load and the severity of cord atrophy are believed to be more relevant to disability than white matter lesions in the brain in different phenotypes of MS. Axonal loss contributes to spinal cord atrophy in MS and its degree correlates with disease severity and prognosis. Therefore, measures of axonal loss are often reliable biomarkers for monitoring disease progression. With recent technical advances, more and more qualitative and quantitative MRI techniques have been investigated in an attempt to provide objective and reliable diagnostic and monitoring biomarkers in MS. In this article, we discuss the role of spinal cord imaging in the diagnosis and prognosis of MS and, additionally, we review various techniques that may improve our understanding of the disease.
Collapse
|
18
|
Rasoanandrianina H, Demortière S, Trabelsi A, Ranjeva JP, Girard O, Duhamel G, Guye M, Pelletier J, Audoin B, Callot V. Sensitivity of the Inhomogeneous Magnetization Transfer Imaging Technique to Spinal Cord Damage in Multiple Sclerosis. AJNR Am J Neuroradiol 2020; 41:929-937. [PMID: 32414903 DOI: 10.3174/ajnr.a6554] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 03/12/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND PURPOSE The inhomogeneous magnetization transfer technique has demonstrated high specificity for myelin, and has shown sensitivity to multiple sclerosis-related impairment in brain tissue. Our aim was to investigate its sensitivity to spinal cord impairment in MS relative to more established MR imaging techniques (volumetry, magnetization transfer, DTI). MATERIALS AND METHODS Anatomic images covering the cervical spinal cord from the C1 to C6 levels and DTI, magnetization transfer/inhomogeneous magnetization transfer images at the C2/C5 levels were acquired in 19 patients with MS and 19 paired healthy controls. Anatomic images were segmented in spinal cord GM and WM, both manually and using the AMU40 atlases. MS lesions were manually delineated. MR metrics were analyzed within normal-appearing and lesion regions in anterolateral and posterolateral WM and compared using Wilcoxon rank tests and z scores. Correlations between MR metrics and clinical scores in patients with MS were evaluated using the Spearman rank correlation. RESULTS AMU40-based C1-to-C6 GM/WM automatic segmentations in patients with MS were evaluated relative to manual delineation. Mean Dice coefficients were 0.75/0.89, respectively. All MR metrics (WM/GM cross-sectional areas, normal-appearing and lesion diffusivities, and magnetization transfer/inhomogeneous magnetization transfer ratios) were observed altered in patients compared with controls (P < .05). Additionally, the absolute inhomogeneous magnetization transfer ratio z scores were significantly higher than those of the other MR metrics (P < .0001), suggesting a higher inhomogeneous magnetization transfer sensitivity toward spinal cord impairment in MS. Significant correlations with the Expanded Disability Status Scale (ρ = -0.73/P = .02, ρ = -0.81/P = .004) and the total Medical Research Council scale (ρ = 0.80/P = .009, ρ = -0.74/P = .02) were observed for inhomogeneous magnetization transfer and magnetization transfer ratio z scores, respectively, in normal-appearing WM regions, while weaker and nonsignificant correlations were obtained for DTI metrics. CONCLUSIONS With inhomogeneous magnetization transfer being highly sensitive to spinal cord damage in MS compared with conventional magnetization transfer and DTI, it could generate great clinical interest for longitudinal follow-up and potential remyelinating clinical trials. In line with other advanced myelin techniques with which it could be compared, it opens perspectives for multicentric investigations.
Collapse
Affiliation(s)
- H Rasoanandrianina
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France.,Laboratoire de Biomécanique Appliquée, Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Reseaux, Aix-Marseille Université; iLab-Spine International Associated Laboratory (H.R., J.P.R., V.C.), Marseille-Montreal, France-Canada
| | - S Demortière
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France.,Department of Neurology (S.D., J.P., B.A.), Centre Hospitalier Universitaire Timone, Assistance Publique-Hopitaux de Marseille, Marseille, France
| | - A Trabelsi
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France
| | - J P Ranjeva
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France.,Laboratoire de Biomécanique Appliquée, Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Reseaux, Aix-Marseille Université; iLab-Spine International Associated Laboratory (H.R., J.P.R., V.C.), Marseille-Montreal, France-Canada
| | - O Girard
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France
| | - G Duhamel
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France
| | - M Guye
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France
| | - J Pelletier
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France.,Department of Neurology (S.D., J.P., B.A.), Centre Hospitalier Universitaire Timone, Assistance Publique-Hopitaux de Marseille, Marseille, France
| | - B Audoin
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France.,Department of Neurology (S.D., J.P., B.A.), Centre Hospitalier Universitaire Timone, Assistance Publique-Hopitaux de Marseille, Marseille, France
| | - V Callot
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France .,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France.,Laboratoire de Biomécanique Appliquée, Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Reseaux, Aix-Marseille Université; iLab-Spine International Associated Laboratory (H.R., J.P.R., V.C.), Marseille-Montreal, France-Canada
| |
Collapse
|
19
|
Collorone S, Cawley N, Grussu F, Prados F, Tona F, Calvi A, Kanber B, Schneider T, Kipp L, Zhang H, Alexander DC, Thompson AJ, Toosy A, Wheeler-Kingshott CAG, Ciccarelli O. Reduced neurite density in the brain and cervical spinal cord in relapsing-remitting multiple sclerosis: A NODDI study. Mult Scler 2020; 26:1647-1657. [PMID: 31682198 DOI: 10.1177/1352458519885107] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Multiple sclerosis (MS) affects both brain and spinal cord. However, studies of the neuraxis with advanced magnetic resonance imaging (MRI) are rare because of long acquisition times. We investigated neurodegeneration in MS brain and cervical spinal cord using neurite orientation dispersion and density imaging (NODDI). OBJECTIVE The aim of this study was to investigate possible alterations, and their clinical relevance, in neurite morphology along the brain and cervical spinal cord of relapsing-remitting MS (RRMS) patients. METHODS In total, 28 RRMS patients and 20 healthy controls (HCs) underwent brain and spinal cord NODDI at 3T. Physical and cognitive disability was assessed. Individual maps of orientation dispersion index (ODI) and neurite density index (NDI) in brain and spinal cord were obtained. We examined differences in NODDI measures between groups and the relationships between NODDI metrics and clinical scores using linear regression models adjusted for age, sex and brain tissue volumes or cord cross-sectional area (CSA). RESULTS Patients showed lower NDI in the brain normal-appearing white matter (WM) and spinal cord WM than HCs. In patients, a lower NDI in the spinal cord WM was associated with higher disability. CONCLUSION Reduced neurite density occurs in the neuraxis but, especially when affecting the spinal cord, it may represent a mechanism of disability in MS.
Collapse
Affiliation(s)
- Sara Collorone
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, UK
| | - Niamh Cawley
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, UK
| | - Francesco Grussu
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, UK/Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, UK
| | - Ferran Prados
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, UK/Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, UK
| | - Francesca Tona
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, UK
| | - Alberto Calvi
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, UK/Department of Pathophysiology and Transplantation, Neurodegenerative Disease Unit, La Fondazione IRCCS Ospedale Maggiore Policlinico Mangiagalli e Regina Elena, University of Milan, Milan, Italy
| | - Baris Kanber
- Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, UK
| | - Torben Schneider
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, UK/Philips UK, Guildford, UK
| | - Lucas Kipp
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, UK/Stanford MS Center, Department of Neurology & Neurological Sciences, Stanford University, Palo Alto, CA, USA
| | - Hui Zhang
- Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, UK
| | - Daniel C Alexander
- Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, UK
| | - Alan J Thompson
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, UK
| | - Ahmed Toosy
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, UK
| | - Claudia Am Gandini Wheeler-Kingshott
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, UK/Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy/Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| | - Olga Ciccarelli
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, UK/National Institute for Health Research University College London Hospitals Biomedical Research Centre, London, UK
| |
Collapse
|
20
|
Leguy S, Combès B, Bannier E, Kerbrat A. Prognostic value of spinal cord MRI in multiple sclerosis patients. Rev Neurol (Paris) 2020; 177:571-581. [PMID: 33069379 DOI: 10.1016/j.neurol.2020.08.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 08/04/2020] [Accepted: 08/05/2020] [Indexed: 11/19/2022]
Abstract
Multiple sclerosis [MS] is a common inflammatory, demyelinating and neurodegenerative disease of the central nervous system that affects both the brain and the spinal cord. In clinical practice, spinal cord MRI is performed far less frequently than brain MRI, mainly owing to technical limitations and time constraints. However, improvements of acquisition techniques, combined with a strong diagnosis and prognostic value, suggest an increasing use of spinal cord MRI in the near future. This review summarizes the current data from the literature on the prognostic value of spinal cord MRI in MS patients in the early and later stages of their disease. Both conventional and quantitative MRI techniques are discussed. The prognostic value of spinal cord lesions is clearly established at the onset of disease, underlining the interest of spinal cord conventional MRI at this stage. However, studies are currently lacking to affirm the prognostic role of spinal cord lesions later in the disease, and therefore the added value of regular follow-up with spinal cord MRI in addition to brain MRI. Besides, spinal cord atrophy, as measured by the loss of cervical spinal cord area, is also associated with disability progression, independently of other clinical and MRI factors including spinal cord lesions. Although potentially interesting, this measurement is not currently performed as a routine clinical procedure. Finally, other measures extracted from quantitative MRI have been established as valuable for a better understanding of the physiopathology of MS, but still remain a field of research.
Collapse
Affiliation(s)
- S Leguy
- CHU de Rennes, Neurology department, 2, Rue Henri-le-Guilloux, 35000 Rennes, France; University Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1228, Rennes, France
| | - B Combès
- University Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1228, Rennes, France
| | - E Bannier
- University Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1228, Rennes, France; CHU de Rennes, Radiology department, Rennes, France
| | - A Kerbrat
- CHU de Rennes, Neurology department, 2, Rue Henri-le-Guilloux, 35000 Rennes, France; University Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1228, Rennes, France.
| |
Collapse
|
21
|
Spinal cord atrophy in a primary progressive multiple sclerosis trial: Improved sample size using GBSI. NEUROIMAGE-CLINICAL 2020; 28:102418. [PMID: 32961403 PMCID: PMC7509079 DOI: 10.1016/j.nicl.2020.102418] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Revised: 08/29/2020] [Accepted: 09/03/2020] [Indexed: 01/18/2023]
Abstract
The GBSI provided clinically meaningful measurements of spinal cord atrophy, with low sample size. Deriving spinal cord atrophy from brain MRI using the GBSI is easier than spinal cord MRI. Spinal cord atrophy on GBSI could be used as a secondary outcome measure.
Background We aimed to evaluate the implications for clinical trial design of the generalised boundary-shift integral (GBSI) for spinal cord atrophy measurement. Methods We included 220 primary-progressive multiple sclerosis patients from a phase 2 clinical trial, with baseline and week-48 3DT1-weighted MRI of the brain and spinal cord (1 × 1 × 1 mm3), acquired separately. We obtained segmentation-based cross-sectional spinal cord area (CSA) at C1-2 (from both brain and spinal cord MRI) and C2-5 levels (from spinal cord MRI) using DeepSeg, and, then, we computed corresponding GBSI. Results Depending on the spinal cord segment, we included 67.4–98.1% patients for CSA measurements, and 66.9–84.2% for GBSI. Spinal cord atrophy measurements obtained with GBSI had lower measurement variability, than corresponding CSA. Looking at the image noise floor, the lowest median standard deviation of the MRI signal within the cerebrospinal fluid surrounding the spinal cord was found on brain MRI at the C1-2 level. Spinal cord atrophy derived from brain MRI was related to the corresponding measures from dedicated spinal cord MRI, more strongly for GBSI than CSA. Spinal cord atrophy measurements using GBSI, but not CSA, were associated with upper and lower limb motor progression. Discussion Notwithstanding the reduced measurement variability, the clinical correlates, and the possibility of using brain acquisitions, spinal cord atrophy using GBSI should remain a secondary outcome measure in MS studies, until further advancements increase the quality of acquisition and reliability of processing.
Collapse
|
22
|
Geldschläger O, Bosch D, Avdievich NI, Henning A. Ultrahigh-resolution quantitative spinal cord MRI at 9.4T. Magn Reson Med 2020; 85:1013-1027. [PMID: 32789980 DOI: 10.1002/mrm.28455] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 07/06/2020] [Accepted: 07/10/2020] [Indexed: 11/08/2022]
Abstract
PURPOSE To present the results of the first human spinal cord in vivo MRI scans at 9.4T. METHODS A human brain coil was used to image the human spinal cord at 9.4T. All anatomical images were acquired with a T2 *-weighted gradient-echo sequence. A comparison of the influence of four different B0 shimming routines on the image quality was performed. Intrinsic signal-to-noise-ratio maps were determined using a pseudo-multiple replica approach. Measurements with different echo times were compared and processed to one multiecho data image combination image. Based on the multiecho acquisitions, T2 *-relaxation time maps were calculated. Algorithmic spinal cord detection and gray matter/white matter segmentation were tested. RESULTS An echo time between 9 and 13.8 ms compromised best between gray matter/white matter contrast and image quality. A maximum in-plane resolution of 0.15 × 0.15 mm2 was achieved for anatomical images. These images offered excellent image quality and made small structures of the spinal cord visible. The scanner vendor implemented B0 shimming routine performed best during this work. Intrinsic signal-to-noise-ratio values of between 6600 and 8060 at the upper cervical spinal cord were achieved. Detection and segmentation worked reliably. An average T2 *-time of 24.88 ms ± 6.68 ms for gray matter and 19.37 ms ± 8.66 ms for white matter was calculated. CONCLUSION The proposed human brain coil can be used to image the spinal cord. The maximum in-plane resolution in this work was higher compared with the 7T results from the literature. The 9.4T acquisitions made the small structures of the spinal cord clearly visible.
Collapse
Affiliation(s)
- Ole Geldschläger
- High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | - Dario Bosch
- High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.,Biomedical Magnetic Resonance, University Hospital Tübingen, Tübingen, Germany
| | - Nikolai I Avdievich
- High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | - Anke Henning
- High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.,Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| |
Collapse
|
23
|
Bonacchi R, Pagani E, Meani A, Cacciaguerra L, Preziosa P, De Meo E, Filippi M, Rocca MA. Clinical Relevance of Multiparametric MRI Assessment of Cervical Cord Damage in Multiple Sclerosis. Radiology 2020; 296:605-615. [PMID: 32573387 DOI: 10.1148/radiol.2020200430] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Background In multiple sclerosis (MS), knowledge about how spinal cord abnormalities translate into clinical manifestations is incomplete. Comprehensive, multiparametric MRI studies are useful in this perspective, but studies for the spinal cord are lacking. Purpose To identify MRI features of cervical spinal cord damage that could help predict disability and disease course in MS by using a comprehensive, multiparametric MRI approach. Materials and Methods In this retrospective hypothesis-driven analysis of longitudinally acquired data between June 2017 and April 2019, 120 patients with MS (58 with relapsing-remitting MS [RRMS] and 62 with progressive MS [PMS]) and 30 age- and sex-matched healthy control participants underwent 3.0-T MRI of the brain and cervical spinal cord. Cervical spinal cord MRI was performed with three-dimensional (3D) T1-weighted, T2-weighted, and diffusion-weighted imaging; sagittal two-dimensional (2D) short inversion time inversion-recovery imaging; and axial 2D phase-sensitive inversion-recovery imaging at the C2-C3 level. Brain MRI was performed with 3D T1-weighted, fluid-attenuated inversion-recovery and T2-weighted sequences. Associations between MRI variables and disability were explored with age-, sex- and phenotype-adjusted linear models. Results In patients with MS, multivariable analysis identified phenotype, cervical spinal cord gray matter (GM) cross-sectional area (CSA), lateral funiculi fractional anisotropy (FA), and brain GM volume as independent predictors of Expanded Disability Status Scale (EDSS) score (R2 = 0.86). The independent predictors of EDSS score in RRMS were lateral funiculi FA, normalized brain volume, and cervical spinal cord GM T2 lesion volume (R2 = 0.51). The independent predictors of EDSS score in PMS were cervical spinal cord GM CSA and brain GM volume (R2 = 0.44). Logistic regression analysis identified cervical spinal cord GM CSA and T2 lesion volume as independent predictors of phenotype (area under the receiver operating characteristic curve = 0.95). An optimal cervical spinal cord GM CSA cut-off value of 11.1 mm2 was found to enable accurate differentiation of patients with PMS, having values below the threshold, from those with RRMS (sensitivity = 90% [56 of 62], specificity = 91% [53 of 58]). Conclusion Cervical spinal cord MRI involvement has a central role in explaining disability in multiple sclerosis (MS): Lesion-induced damage in the lateral funiculi and gray matter (GM) in relapsing-remitting MS and GM atrophy in patients with progressive MS are the most relevant variables. Cervical spinal cord GM atrophy is an accurate predictor of progressive phenotype. Cervical spinal cord GM lesions may subsequently cause GM atrophy, which may contribute to evolution to PMS. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Zivadinov and Bergsland in this issue.
Collapse
Affiliation(s)
- Raffaello Bonacchi
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (R.B., E.P., A.M., L.C., P.P., E.D.M., M.F., M.A.R.), Neurology Unit (R.B., L.C., P.P., E.D.M., M.F., M.A.R.), and Neurophysiology Unit (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy; and Vita-Salute San Raffaele University, Milan, Italy (R.B., L.C., E.D.M., M.F.)
| | - Elisabetta Pagani
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (R.B., E.P., A.M., L.C., P.P., E.D.M., M.F., M.A.R.), Neurology Unit (R.B., L.C., P.P., E.D.M., M.F., M.A.R.), and Neurophysiology Unit (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy; and Vita-Salute San Raffaele University, Milan, Italy (R.B., L.C., E.D.M., M.F.)
| | - Alessandro Meani
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (R.B., E.P., A.M., L.C., P.P., E.D.M., M.F., M.A.R.), Neurology Unit (R.B., L.C., P.P., E.D.M., M.F., M.A.R.), and Neurophysiology Unit (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy; and Vita-Salute San Raffaele University, Milan, Italy (R.B., L.C., E.D.M., M.F.)
| | - Laura Cacciaguerra
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (R.B., E.P., A.M., L.C., P.P., E.D.M., M.F., M.A.R.), Neurology Unit (R.B., L.C., P.P., E.D.M., M.F., M.A.R.), and Neurophysiology Unit (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy; and Vita-Salute San Raffaele University, Milan, Italy (R.B., L.C., E.D.M., M.F.)
| | - Paolo Preziosa
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (R.B., E.P., A.M., L.C., P.P., E.D.M., M.F., M.A.R.), Neurology Unit (R.B., L.C., P.P., E.D.M., M.F., M.A.R.), and Neurophysiology Unit (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy; and Vita-Salute San Raffaele University, Milan, Italy (R.B., L.C., E.D.M., M.F.)
| | - Ermelinda De Meo
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (R.B., E.P., A.M., L.C., P.P., E.D.M., M.F., M.A.R.), Neurology Unit (R.B., L.C., P.P., E.D.M., M.F., M.A.R.), and Neurophysiology Unit (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy; and Vita-Salute San Raffaele University, Milan, Italy (R.B., L.C., E.D.M., M.F.)
| | - Massimo Filippi
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (R.B., E.P., A.M., L.C., P.P., E.D.M., M.F., M.A.R.), Neurology Unit (R.B., L.C., P.P., E.D.M., M.F., M.A.R.), and Neurophysiology Unit (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy; and Vita-Salute San Raffaele University, Milan, Italy (R.B., L.C., E.D.M., M.F.)
| | - Maria A Rocca
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (R.B., E.P., A.M., L.C., P.P., E.D.M., M.F., M.A.R.), Neurology Unit (R.B., L.C., P.P., E.D.M., M.F., M.A.R.), and Neurophysiology Unit (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy; and Vita-Salute San Raffaele University, Milan, Italy (R.B., L.C., E.D.M., M.F.)
| |
Collapse
|
24
|
Weigel M, Haas T, Wendebourg MJ, Schlaeger R, Bieri O. Imaging of the thoracic spinal cord using radially sampled averaged magnetization inversion recovery acquisitions. J Neurosci Methods 2020; 343:108825. [PMID: 32580062 DOI: 10.1016/j.jneumeth.2020.108825] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 06/18/2020] [Accepted: 06/19/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Spinal cord (SC) gray and white matter atrophy quantification by advanced morphometric MRI can help to better characterize the course of neurodegenerative diseases in vivo, such as e.g. lower motor neuron disorders. Imaging the lower thoracic cord - containing those motor neurons that control leg function - could be particularly informative, however, is challenging due to tissue composition, physiological motion and large field of views. NEW METHOD An "averaged magnetization inversion recovery acquisitions" (AMIRA) approach with a radial k-space acquisition scheme was developed. The method is designed for morphometric SC imaging with a focus on the thoracic SC. RESULTS In a typical setting, radial AMIRA acquires transverse slices with a high 0.50 × 0.50mm2 in-plane resolution and a pronounced positive contrast between thoracic gray and white matter, within typically 2:39 min. Additional proof-of-concept measurements in patients demonstrate that such contrast and resolving capability is indeed necessary to assess potential atrophy of the anterior horns. COMPARISON WITH EXISTING METHOD(S) Radial AMIRA utilizes two benefits of radial MRI techniques: being generally less prone to motion effects and that fold over artifacts can manifest less intrusively. These benefits are united with the original AMIRA approach which allows the contrast to be 'tuned' and improved based on the combination of five simultaneously acquired images of different tissue contrast. CONCLUSIONS Radial AMIRA is a promising approach for in vivo SC gray and white matter atrophy visualization and quantification in lower motor neuron diseases and other autoimmune or genetic diseases involving the entire (not only cervical) spinal cord.
Collapse
Affiliation(s)
- Matthias Weigel
- Division of Radiological Physics, Department of Radiology, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland; Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland; Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland.
| | - Tanja Haas
- Division of Radiological Physics, Department of Radiology, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Maria Janina Wendebourg
- Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland; Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Regina Schlaeger
- Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland; Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Oliver Bieri
- Division of Radiological Physics, Department of Radiology, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland; Department of Biomedical Engineering, University of Basel, Gewerbestrasse 14, 4123 Allschwil, Switzerland
| |
Collapse
|
25
|
Smith BC, Sinyuk M, Jenkins JE, Psenicka MW, Williams JL. The impact of regional astrocyte interferon-γ signaling during chronic autoimmunity: a novel role for the immunoproteasome. J Neuroinflammation 2020; 17:184. [PMID: 32532298 PMCID: PMC7291495 DOI: 10.1186/s12974-020-01861-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 05/29/2020] [Indexed: 12/23/2022] Open
Abstract
Background In early autoimmune neuroinflammation, interferon (IFN)γ and its upregulation of the immunoproteasome (iP) is pathologic. However, during chronic multiple sclerosis (MS), IFNγ has protective properties. Although dysregulation of the iP has been implicated in neurodegeneration, its function remains to be fully elucidated. Here, we demonstrate that IFNγ signaling in regional astrocytes induces the iP and promotes protection of the CNS during chronic autoimmunity. Methods In a multiple sclerosis (MS) brain, we evaluated mRNA expression and labeled postmortem MS brainstem and spinal cord for iP subunits and indicators of oxidative stress. Primary regional human astrocytes were analyzed for iP regulation and function by quantitative reverse transcription-polymerase chain reaction (qRT-PCR), Western blot, OxyBlot, and reactive oxygen species and caspase activity detection assays. Following immunization with myelin oligodendrocyte glycoprotein (MOG)35-55, the role of IFNγ signaling and the iP during chronic experimental autoimmune encephalomyelitis (EAE) were assessed using pharmacologic inhibition of the iP and genetic interruption of IFNγ signaling specifically in astrocytes. Central nervous system (CNS) tissues were analyzed by immunohistochemistry (IHC) and immunofluorescence, and cell-specific colocalization was quantified. Results In MS tissue, iP expression was enhanced in the spinal cord compared to brainstem lesions, which correlated with a decrease in oxidative stress. In vitro, IFNγ stimulation enhanced iP expression, reduced reactive oxygen species burden, and decreased oxidatively damaged and poly-ubiquitinated protein accumulation preferentially in human spinal cord astrocytes, which was abrogated with the use of the iP inhibitor, ONX 0914. During the chronic phase of an MS animal model, EAE, ONX 0914 treatment exacerbated the disease and led to increased oxidative stress and poly-ubiquitinated protein buildup. Finally, mice with astrocyte-specific loss of the IFNγ receptor exhibited worsened chronic EAE associated with reduced iP expression, enhanced lesion size and oxidative stress, and poly-ubiquitinated protein accumulation in astrocytes. Conclusions Taken together, our data reveal a protective role for IFNγ in chronic neuroinflammation and identify a novel function of the iP in astrocytes during CNS autoimmunity.
Collapse
Affiliation(s)
- Brandon C Smith
- Department of Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.,Department of Biological, Geological, and Environmental Sciences, Cleveland State University, Cleveland, OH, USA
| | - Maksim Sinyuk
- Department of Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Julius E Jenkins
- Department of Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Morgan W Psenicka
- Department of Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Jessica L Williams
- Department of Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA. .,Brain Health Research Institute, Kent State University, Kent, OH, USA.
| |
Collapse
|
26
|
Solanky BS, Prados F, Tur C, Yiannakas MC, Kanber B, Cawley N, Brownlee W, Ourselin S, Golay X, Ciccarelli O, Gandini Wheeler-Kingshott CAM. Sodium in the Relapsing-Remitting Multiple Sclerosis Spinal Cord: Increased Concentrations and Associations With Microstructural Tissue Anisotropy. J Magn Reson Imaging 2020; 52:1429-1438. [PMID: 32476227 DOI: 10.1002/jmri.27201] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Revised: 05/05/2020] [Accepted: 05/06/2020] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Associations between brain total sodium concentration, disability, and disease progression have recently been reported in multiple sclerosis. However, such measures in spinal cord have not been reported. PURPOSE To measure total sodium concentration (TSC) alterations in the cervical spinal cord of people with relapsing-remitting multiple sclerosis (RRMS) and a control cohort using sodium MR spectroscopy (MRS). STUDY TYPE Retrospective cohort. SUBJECTS Nineteen people with RRMS and 21 healthy controls. FIELD STRENGTH/SEQUENCE 3 T sodium MRS, diffusion tensor imaging, and 3D gradient echo. ASSESSMENT Quantification of total sodium concentration in the cervical cord using a reference phantom. Measures of spinal cord cross-sectional area, fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity from 1 H MRI. Clinical assessments of 9-Hole Peg Test, 25-Foot Timed walk test, Paced Auditory Serial Addition Test with 3-second intervals, grip strength, vibration sensitivity, and posturography were performed on the RRMS cohort as well as reporting lesions in the C2/3 area. STATISTICAL TESTS Multiple linear regression models were run between sodium and clinical scores, cross-sectional area, and diffusion metrics to establish any correlations. RESULTS A significant increase in spinal cord total sodium concentration was found in people with RRMS relative to healthy controls (57.6 ± 18 mmol and 38.0 ± 8.6 mmol, respectively, P < 0.001). Increased TSC correlated with reduced fractional anisotropy (P = 0.034) and clinically with decreased mediolateral stability assessed with posturography (P = 0.045). DATA CONCLUSION Total sodium concentration in the cervical spinal cord is elevated in RRMS. This alteration is associated with reduced fractional anisotropy, which may be due to changes in tissue microstructure and, hence, in the integrity of spinal cord tissue. LEVEL OF EVIDENCE 1 TECHNICAL EFFICACY STAGE: 2.
Collapse
Affiliation(s)
- Bhavana S Solanky
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Ferran Prados
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,Translational Imaging Group, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Carmen Tur
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Marios C Yiannakas
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Baris Kanber
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,Translational Imaging Group, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Niamh Cawley
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Wallace Brownlee
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Sebastien Ourselin
- Translational Imaging Group, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Xavier Golay
- Brain Repair and Rehabilitation, Queen Square Institute of Neurology, University College London, London, UK
| | - Olga Ciccarelli
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Claudia A M Gandini Wheeler-Kingshott
- NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy.,Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| |
Collapse
|
27
|
Davis LA, Alenazy MS, Almuklass AM, Feeney DF, Vieira T, Botter A, Enoka RM. Force control during submaximal isometric contractions is associated with walking performance in persons with multiple sclerosis. J Neurophysiol 2020; 123:2191-2200. [PMID: 32347151 DOI: 10.1152/jn.00085.2020] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
Individuals with multiple sclerosis (MS) experience progressive declines in movement capabilities, especially walking performance. The purpose of our study was to compare the amount of variance in walking performance that could be explained by the functional capabilities of lower leg muscles in persons with MS and a sex- and age-matched control group. Participants performed two walking tests (6-min walk and 25-ft walk), strength tests for the plantar flexor and dorsiflexor muscles, and steady submaximal (10% and 20% maximum) isometric contractions. High-density electromyography (EMG) was recorded during the steady contractions, and the signals were decomposed to identify the discharge times of concurrently active motor units. There were significant differences between the two groups in the force fluctuations during the steady contractions (force steadiness), the strength of the plantar flexor and dorsiflexor muscles, and the discharge characteristics during the steady contractions. Performance on the two walking tests by the MS group was moderately associated with force steadiness of the plantar flexor and dorsiflexor muscles; worse force steadiness was associated with poorer walking performance. In contrast, the performance of the control group was associated with muscle strength (25-ft test) and force steadiness of the dorsiflexors and variance in common input of motor units to the plantar flexors (6-min test). These findings indicate that a reduction in the ability to maintain a steady force during submaximal isometric contractions is moderately associated with walking performance of persons with MS.NEW & NOTEWORTHY The variance in walking endurance and walking speed was associated with force control of the lower leg muscles during submaximal isometric contractions in individuals with multiple sclerosis (MS). In contrast, the fast walking speed of a sex- and age-matched control group was associated with the strength of lower leg muscles. These findings indicate that moderate declines in the walking performance of persons with MS are more associated with impairments in force control rather than decreases in muscle strength.
Collapse
Affiliation(s)
- Leah A Davis
- Department of Integrative Physiology University of Colorado, Boulder, Colorado
| | - Mohammed S Alenazy
- Department of Integrative Physiology University of Colorado, Boulder, Colorado
| | - Awad M Almuklass
- Department of Integrative Physiology University of Colorado, Boulder, Colorado
| | - Daniel F Feeney
- Department of Integrative Physiology University of Colorado, Boulder, Colorado
| | - Taian Vieira
- Department of Integrative Physiology University of Colorado, Boulder, Colorado
| | - Alberto Botter
- Department of Integrative Physiology University of Colorado, Boulder, Colorado
| | - Roger M Enoka
- Department of Integrative Physiology University of Colorado, Boulder, Colorado
| |
Collapse
|
28
|
Rocca MA, Preziosa P, Filippi M. What role should spinal cord MRI take in the future of multiple sclerosis surveillance? Expert Rev Neurother 2020; 20:783-797. [PMID: 32133874 DOI: 10.1080/14737175.2020.1739524] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
INTRODUCTION In multiple sclerosis (MS), inflammatory, demyelinating, and neurodegenerative phenomena affect the spinal cord, with detrimental effects on patients' clinical disability. Although spinal cord imaging may be challenging, improvements in MRI technologies have contributed to better evaluate spinal cord involvement in MS. AREAS COVERED This review summarizes the current state-of-art of the application of conventional and advanced MRI techniques to evaluate spinal cord damage in MS. Typical features of spinal cord lesions, their role in the diagnostic work-up of suspected MS, their predictive role for subsequent disease course and clinical worsening, and their utility to define treatment response are discussed. The role of spinal cord atrophy and of other advanced MRI techniques to better evaluate the associations between spinal cord abnormalities and the accumulation of clinical disability are also evaluated. Finally, how spinal cord assessment could evolve in the future to improve monitoring of disease progression and treatment effects is examined. EXPERT OPINION Spinal cord MRI provides relevant additional information to brain MRI in understanding MS pathophysiology, in allowing an earlier and more accurate diagnosis of MS, and in identifying MS patients at higher risk to develop more severe disability. A future role in monitoring the effects of treatments is also foreseen.
Collapse
Affiliation(s)
- Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurophysiology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Vita-Salute San Raffaele University , Milan, Italy
| |
Collapse
|
29
|
Song X, Li D, Qiu Z, Su S, Wu Y, Wang J, Liu Z, Dong H. Correlation between EDSS scores and cervical spinal cord atrophy at 3T MRI in multiple sclerosis: A systematic review and meta-analysis. Mult Scler Relat Disord 2019; 37:101426. [PMID: 32172997 DOI: 10.1016/j.msard.2019.101426] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 08/28/2019] [Accepted: 09/30/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND Cervical spinal cord atrophy (CSCA), which partly reflects the axonal loss in the spinal cord, is increasingly recognized as a valuable predictor of disease outcome. However, inconsistent results have been reported regarding the correlation of CSCA and clinical disability in multiple sclerosis (MS). The aim of this meta-analysis was to synthesize the available data obtained from 3.0-Tesla (3T) MRI scanners and to explore the relationship between CSCA and scores on the Expanded Disability Status Scale (EDSS). METHODS We searched PubMed, Embase, and Web of Science for articles published from the database inception to February 1, 2019. The quality of the articles was assessed according to a quality evaluation checklist which was created based on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines. We conducted a meta-analysis of the correlation between EDSS scores and CSCA at 3T MRI in MS. RESULTS Twenty-two eligible studies involving 1933 participants were incorporated into our meta-analysis. Our results demonstrated that CSCA was negatively and moderately correlated with EDSS scores (rs = -0.42, 95% CI: -0.51 to -0.32; p < 0.0001). Subgroup analyses revealed a weaker correlation in the group of relapsing-remitting multiple sclerosis (RRMS) and clinically isolated syndrome (CIS) (rs = -0.19, 95% CI: -0.31 to -0.07; p = 0.0029). CONCLUSIONS The correlation between CSCA and EDSS scores was significant but moderate. We encourage more studies using reliable and consistent methods to explore whether CSCA is suitable as a predictor for MS progression.
Collapse
Affiliation(s)
- Xiaodong Song
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China
| | - Dawei Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China
| | - Zhandong Qiu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China
| | - Shengyao Su
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China
| | - Yan Wu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China
| | - Jingsi Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China
| | - Zheng Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China.
| | - Huiqing Dong
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China.
| |
Collapse
|
30
|
Papinutto N, Asteggiano C, Bischof A, Gundel TJ, Caverzasi E, Stern WA, Bastianello S, Hauser SL, Henry RG. Intersubject Variability and Normalization Strategies for Spinal Cord Total Cross-Sectional and Gray Matter Areas. J Neuroimaging 2019; 30:110-118. [PMID: 31571307 DOI: 10.1111/jon.12666] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 09/02/2019] [Accepted: 09/16/2019] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND AND PURPOSE The quantification of spinal cord (SC) atrophy by MRI has assumed an important role in assessment of neuroinflammatory/neurodegenerative diseases and traumatic SC injury. Recent technical advances make possible the quantification of gray matter (GM) and white matter tissues in clinical settings. However, the goal of a reliable diagnostic, prognostic or predictive marker is still elusive, in part due to large intersubject variability of SC areas. Here, we investigated the sources of this variability and explored effective strategies to reduce it. METHODS One hundred twenty-nine healthy subjects (mean age: 41.0 ± 15.9) underwent MRI on a Siemens 3T Skyra scanner. Two-dimensional PSIR at the C2-C3 vertebral level and a sagittal 1 mm3 3D T1-weighted brain acquisition extended to the upper cervical cord were acquired. Total cross-sectional area and GM area were measured at C2-C3, as well as measures of the vertebra, spinal canal and the skull. Correlations between the different metrics were explored using Pearson product-moment coefficients. The most promising metrics were used to normalize cord areas using multiple regression analyses. RESULTS The most effective normalization metrics were the V-scale (from SienaX) and the product of the C2-C3 spinal canal diameters. Normalization methods based on these metrics reduced the intersubject variability of cord areas of up to 17.74%. The measured cord areas had a statistically significant sex difference, while the effect of age was moderate. CONCLUSIONS The present work explored in a large cohort of healthy subjects the source of intersubject variability of SC areas and proposes effective normalization methods for its reduction.
Collapse
Affiliation(s)
- Nico Papinutto
- Department of Neurology, University of California, San Francisco, CA
| | - Carlo Asteggiano
- Department of Neurology, University of California, San Francisco, CA.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Antje Bischof
- Department of Neurology, University of California, San Francisco, CA
| | - Tristan J Gundel
- Department of Neurology, University of California, San Francisco, CA
| | - Eduardo Caverzasi
- Department of Neurology, University of California, San Francisco, CA.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - William A Stern
- Department of Neurology, University of California, San Francisco, CA
| | - Stefano Bastianello
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Stephen L Hauser
- Department of Neurology, University of California, San Francisco, CA
| | - Roland G Henry
- Department of Neurology, University of California, San Francisco, CA
| |
Collapse
|
31
|
Bargiela D, Chinnery PF. Mitochondria in neuroinflammation – Multiple sclerosis (MS), leber hereditary optic neuropathy (LHON) and LHON-MS. Neurosci Lett 2019; 710:132932. [DOI: 10.1016/j.neulet.2017.06.051] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Accepted: 06/27/2017] [Indexed: 01/12/2023]
|
32
|
Moccia M, Prados F, Filippi M, Rocca MA, Valsasina P, Brownlee WJ, Zecca C, Gallo A, Rovira A, Gass A, Palace J, Lukas C, Vrenken H, Ourselin S, Gandini Wheeler‐Kingshott CAM, Ciccarelli O, Barkhof F. Longitudinal spinal cord atrophy in multiple sclerosis using the generalized boundary shift integral. Ann Neurol 2019; 86:704-713. [DOI: 10.1002/ana.25571] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 07/29/2019] [Accepted: 08/01/2019] [Indexed: 11/10/2022]
Affiliation(s)
- Marcello Moccia
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain SciencesUniversity College London London United Kingdom
- Multiple Sclerosis Clinical Care and Research Center, Department of NeurosciencesFederico II University Naples Italy
| | - Ferran Prados
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain SciencesUniversity College London London United Kingdom
- Centre for Medical Image Computing, Department of Medical Physics and BioengineeringUniversity College London London United Kingdom
- National Institute for Health ResearchUniversity College London Hospitals Biomedical Research Centre London United Kingdom
- Open University of Catalonia Barcelona Spain
| | - Massimo Filippi
- Division of Neuroscience, San Raffaele Scientific Institute, Vita‐Salute San Raffaele UniversityNeuroimaging Research Unit, Institute of Experimental Neurology Milan Italy
- Department of NeurologySan Raffaele Scientific Institute Milan Italy
| | - Maria A. Rocca
- Division of Neuroscience, San Raffaele Scientific Institute, Vita‐Salute San Raffaele UniversityNeuroimaging Research Unit, Institute of Experimental Neurology Milan Italy
- Department of NeurologySan Raffaele Scientific Institute Milan Italy
| | - Paola Valsasina
- Division of Neuroscience, San Raffaele Scientific Institute, Vita‐Salute San Raffaele UniversityNeuroimaging Research Unit, Institute of Experimental Neurology Milan Italy
| | - Wallace J. Brownlee
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain SciencesUniversity College London London United Kingdom
| | - Chiara Zecca
- Neurocenter of Southern SwitzerlandLugano Regional Hospital Lugano Switzerland
| | - Antonio Gallo
- 3T‐MRI Research Center, Department of Advanced Medical and Surgical SciencesUniversity of Campania Luigi Vanvitelli Naples Italy
| | - Alex Rovira
- Section of Neuroradiology, Department of RadiologyVall d'Hebron University Hospital, Autonomous University of Barcelona Barcelona Spain
| | - Achim Gass
- Department of NeurologyUniversitätsmedizin Mannheim, University of Heidelberg Mannheim Germany
| | - Jacqueline Palace
- Nuffield Department of Clinical NeurosciencesJohn Radcliffe Hospital Oxford United Kingdom
| | | | - Hugo Vrenken
- Department of Radiology and Nuclear MedicineVU University Medical Center Amsterdam the Netherlands
| | - Sebastien Ourselin
- Department of Imaging and Biomedical EngineeringKing's College London London United Kingdom
| | - Claudia A. M. Gandini Wheeler‐Kingshott
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain SciencesUniversity College London London United Kingdom
- Department of Brain and Behavioral SciencesUniversity of Pavia Pavia Italy
- Brain MRI 3T Research Center, Mondino FoundationScientific Institute for Research and Health Care Pavia Italy
| | - Olga Ciccarelli
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain SciencesUniversity College London London United Kingdom
- National Institute for Health ResearchUniversity College London Hospitals Biomedical Research Centre London United Kingdom
| | - Frederik Barkhof
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain SciencesUniversity College London London United Kingdom
- Centre for Medical Image Computing, Department of Medical Physics and BioengineeringUniversity College London London United Kingdom
- National Institute for Health ResearchUniversity College London Hospitals Biomedical Research Centre London United Kingdom
- Department of Radiology and Nuclear MedicineVU University Medical Center Amsterdam the Netherlands
| | | |
Collapse
|
33
|
Juliano AF, Policeni B, Agarwal V, Burns J, Bykowski J, Harvey HB, Hoang JK, Hunt CH, Kennedy TA, Moonis G, Pannell JS, Parsons MS, Powers WJ, Rosenow JM, Schroeder JW, Slavin K, Whitehead MT, Corey AS. ACR Appropriateness Criteria® Ataxia. J Am Coll Radiol 2019; 16:S44-S56. [PMID: 31054758 DOI: 10.1016/j.jacr.2019.02.021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 02/08/2019] [Indexed: 01/14/2023]
|
34
|
Moccia M, Ruggieri S, Ianniello A, Toosy A, Pozzilli C, Ciccarelli O. Advances in spinal cord imaging in multiple sclerosis. Ther Adv Neurol Disord 2019; 12:1756286419840593. [PMID: 31040881 PMCID: PMC6477770 DOI: 10.1177/1756286419840593] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 03/03/2019] [Indexed: 11/18/2022] Open
Abstract
The spinal cord is frequently affected in multiple sclerosis (MS), causing motor, sensory and autonomic dysfunction. A number of pathological abnormalities, including demyelination and neuroaxonal loss, occur in the MS spinal cord and are studied in vivo with magnetic resonance imaging (MRI). The aim of this review is to summarise and discuss recent advances in spinal cord MRI. Advances in conventional spinal cord MRI include improved identification of MS lesions, recommended spinal cord MRI protocols, enhanced recognition of MRI lesion characteristics that allow MS to be distinguished from other myelopathies, evidence for the role of spinal cord lesions in predicting prognosis and monitoring disease course, and novel post-processing methods to obtain lesion probability maps. The rate of spinal cord atrophy is greater than that of brain atrophy (-1.78% versus -0.5% per year), and reflects neuroaxonal loss in an eloquent site of the central nervous system, suggesting that it can become an important outcome measure in clinical trials, especially in progressive MS. Recent developments allow the calculation of spinal cord atrophy from brain volumetric scans and evaluation of its progression over time with registration-based techniques. Fully automated analysis methods, including segmentation of grey matter and intramedullary lesions, will facilitate the use of spinal cord atrophy in trial designs and observational studies. Advances in quantitative imaging techniques to evaluate neuroaxonal integrity, myelin content, metabolic changes, and functional connectivity, have provided new insights into the mechanisms of damage in MS. Future directions of research and the possible impact of 7T scanners on spinal cord imaging will be discussed.
Collapse
Affiliation(s)
- Marcello Moccia
- Queen Square MS Centre, NMR Research Unit, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neurosciences, Federico II University of Naples, via Sergio Pansini, 5, Edificio 17 - piano terra, Napoli, 80131 Naples, Italy
| | - Serena Ruggieri
- Department of Human Neuroscience, Sapienza University of Rome, Italy
| | - Antonio Ianniello
- Department of Human Neuroscience, Sapienza University of Rome, Italy
| | - Ahmed Toosy
- Queen Square MS Centre, NMR Research Unit, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Carlo Pozzilli
- Department of Human Neuroscience, Sapienza University of Rome, Italy
| | - Olga Ciccarelli
- Queen Square MS Centre, NMR Research Unit, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- National Institute for Health Research, University College London Hospitals Biomedical Research Centre, London, UK
| |
Collapse
|
35
|
Golub D, Williams F, Wong T, Iyengar N, Jolley H, Sabadiah S, Rhee D, Gold-von Simson G. A Longitudinally Extensive Spinal Cord Lesion Restricted to Gray Matter in an Adolescent Male. Front Neurol 2019; 10:270. [PMID: 30949125 PMCID: PMC6435483 DOI: 10.3389/fneur.2019.00270] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Accepted: 02/28/2019] [Indexed: 01/19/2023] Open
Abstract
Longitudinally extensive spinal cord lesions (LECL) restricted to gray matter are poorly understood as are their neurodevelopmental repercussions in children. We herein report the critical case of a 13-year-old male presenting with progressive quadriparesis found to have cervical LECL restricted to the anterior horns. Challenged with a rare diagnostic dilemma, the clinical team systematically worked through potential vascular, genetic, infectious, rheumatologic, and paraneoplastic diagnoses before assigning a working diagnosis of acute inflammatory myelopathy. Nuanced consideration of and workup for both potential ischemic causes (arterial dissection, fibrocartilaginous embolism, vascular malformation) and specific inflammatory conditions including Transverse Myelitis, Neuromyelitis Optica Spectrum Disorders (NMOSD), Multiple Sclerosis (MS), Acute Disseminated Encephalomyelitis (ADEM), and Acute Flaccid Myelitis (AFM) is explained in the context of a comprehensive systematic review of the literature on previous reports of gray matter-restricted longitudinally extensive cord lesions in children. Treatment strategy was ultimately based on additional literature review of treatment-refractory acute inflammatory neurological syndromes in children. A combination of high-dose steroids and plasmapheresis was employed with significant improvement in functional outcome, suggesting a potential benefit of combination immune-modulatory treatment in these patients. This case furthermore highlights quality clinical reasoning with respect to the elusive nature of diagnosis, nuances in neuroimaging, and multifocal treatment strategies in pediatric LECL.
Collapse
Affiliation(s)
- Danielle Golub
- New York University School of Medicine, New York, NY, United States
| | - Faith Williams
- School of Medicine, Washington University School of Medicine, Saint Louis, MO, United States
| | - Taylor Wong
- New York University School of Medicine, New York, NY, United States
| | - Nishanth Iyengar
- New York University School of Medicine, New York, NY, United States
| | - Hannah Jolley
- Department of Pediatrics, New York University School of Medicine, New York, NY, United States
| | - Sakinah Sabadiah
- Department of Neurology, New York University School of Medicine, New York, NY, United States
| | - David Rhee
- Department of Pediatrics, New York University School of Medicine, New York, NY, United States
| | - Gabrielle Gold-von Simson
- Department of Pediatrics, New York University School of Medicine, New York, NY, United States.,Health and Hospitals, Clinical Translational Science Institute, New York University, New York, NY, United States
| |
Collapse
|
36
|
Casserly C, Seyman EE, Alcaide-Leon P, Guenette M, Lyons C, Sankar S, Svendrovski A, Baral S, Oh J. Spinal Cord Atrophy in Multiple Sclerosis: A Systematic Review and Meta-Analysis. J Neuroimaging 2018; 28:556-586. [PMID: 30102003 DOI: 10.1111/jon.12553] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Revised: 07/12/2018] [Accepted: 07/16/2018] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND AND PURPOSE Spinal cord atrophy (SCA) is an important emerging outcome measure in multiple sclerosis (MS); however, there is limited consensus on the magnitude and rate of atrophy. The objective of this study was to synthesize the available data on measures of SCA in MS. METHODS Using published guidelines, relevant literature databases were searched between 1977 and 2017 for case-control or cohort studies reporting a quantitative measure of SCA in MS patients. Random-effects models pooled cross-sectional measures and longitudinal rates of SCA in MS and healthy controls (HCs). Student's t-test assessed differences between pooled measures in patient subgroups. Heterogeneity was assessed using DerSimonian and Laird's Q-test and the I 2 -index. RESULTS A total of 1,465 studies were retrieved including 94 that met inclusion and exclusion criteria. Pooled estimates of mean cervical spinal cord (SC) cross-sectional area (CSA) in all MS patients, relapsing-remitting MS (RRMS), all progressive MS, secondary progressive MS (SPMS), primary-progressive MS (PPMS), and HC were: 73.07 mm2 (95% CI [71.52-74.62]), 78.88 mm2 (95% CI [76.92-80.85]), 69.72 mm2 (95% CI [67.96-71.48]), 68.55 mm2 (95% CI [65.43-71.66]), 70.98 mm2 (95% CI [68.78-73.19]), and 80.87 mm2 (95% C I [78.70-83.04]), respectively. Pooled SC-CSA was greater in HC versus MS (P < .001) and RRMS versus progressive MS (P < .001). SCA showed moderate correlations with global disability in cross-sectional studies (r-value with disability score range [-.75 to -.22]). In longitudinal studies, the pooled annual rate of SCA was 1.78%/year (95%CI [1.28-2.27]). CONCLUSIONS The SC is atrophied in MS. The magnitude of SCA is greater in progressive versus relapsing forms and correlates with clinical disability. The pooled estimate of annual rate of SCA is greater than reported rates of brain atrophy in MS. These results demonstrate that SCA is highly relevant as an imaging outcome in MS clinical trials.
Collapse
Affiliation(s)
- Courtney Casserly
- Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.,Department of Neurology, London Health Sciences Centre, Western University, London, Ontario, Canada
| | - Estelle E Seyman
- Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Paula Alcaide-Leon
- Division of Neuroradiology, Department of Medical Imaging, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Melanie Guenette
- Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Carrie Lyons
- Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Stephanie Sankar
- Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Anton Svendrovski
- Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Stefan Baral
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD
| | - Jiwon Oh
- Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.,Department of Neurology, Johns Hopkins University, Baltimore, MD
| |
Collapse
|
37
|
Abstract
Spinal cord (SC) MRI in multiple sclerosis (MS) has significant usefulness in clinical and investigational settings. Conventional MRI of the SC is used in clinical practice, because it has both diagnostic and prognostic value. A number of advanced, quantitative SC MRI measures that assess the structural and functional integrity of the SC have been evaluated in investigational settings. These techniques have collectively demonstrated usefulness in providing insight into microstructural and functional changes relevant to disability in MS. With further development, these techniques may be useful in clinical trial settings as biomarkers of neurodegeneration and protection, and in day-to-day clinical practice.
Collapse
Affiliation(s)
- Alexandra Muccilli
- Division of Neurology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, M5B 1W8, Canada; Division of Neurology, Centre Hospitalier de L'Université de Montréal, Université de Montréal, 1058 Saint-Denis Street, Montreal, Quebec H2X 3J4, Canada
| | - Estelle Seyman
- Division of Neurology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, M5B 1W8, Canada
| | - Jiwon Oh
- Division of Neurology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, M5B 1W8, Canada; Department of Neurology, Johns Hopkins University, Baltimore, MD, USA.
| |
Collapse
|
38
|
Tsagkas C, Magon S, Gaetano L, Pezold S, Naegelin Y, Amann M, Stippich C, Cattin P, Wuerfel J, Bieri O, Sprenger T, Kappos L, Parmar K. Spinal cord volume loss: A marker of disease progression in multiple sclerosis. Neurology 2018; 91:e349-e358. [PMID: 29950437 DOI: 10.1212/wnl.0000000000005853] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Accepted: 04/19/2018] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Cross-sectional studies have shown that spinal cord volume (SCV) loss is related to disease severity in multiple sclerosis (MS). However, long-term data are lacking. Our aim was to evaluate SCV loss as a biomarker of disease progression in comparison to other MRI measurements in a large cohort of patients with relapse-onset MS with 6-year follow-up. METHODS The upper cervical SCV, the total brain volume, and the brain T2 lesion volume were measured annually in 231 patients with MS (180 relapsing-remitting [RRMS] and 51 secondary progressive [SPMS]) over 6 years on 3-dimensional, T1-weighted, magnetization-prepared rapid-acquisition gradient echo images. Expanded Disability Status Scale (EDSS) score and relapses were recorded at every follow-up. RESULTS Patients with SPMS had lower baseline SCV (p < 0.01) but no accelerated SCV loss compared to those with RRMS. Clinical relapses were found to predict SCV loss over time (p < 0.05) in RRMS. Furthermore, SCV loss, but not total brain volume and T2 lesion volume, was a strong predictor of EDSS score worsening over time (p < 0.05). The mean annual rate of SCV loss was the strongest MRI predictor for the mean annual EDSS score change of both RRMS and SPMS separately, while correlating stronger in SPMS. Every 1% increase of the annual SCV loss rate was associated with an extra 28% risk increase of disease progression in the following year in both groups. CONCLUSION SCV loss over time relates to the number of clinical relapses in RRMS, but overall does not differ between RRMS and SPMS. SCV proved to be a strong predictor of physical disability and disease progression, indicating that SCV may be a suitable marker for monitoring disease activity and severity.
Collapse
Affiliation(s)
- Charidimos Tsagkas
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Stefano Magon
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Laura Gaetano
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Simon Pezold
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Yvonne Naegelin
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Michael Amann
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Christoph Stippich
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Philippe Cattin
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Jens Wuerfel
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Oliver Bieri
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Till Sprenger
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Ludwig Kappos
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Katrin Parmar
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany.
| |
Collapse
|
39
|
Petrova N, Carassiti D, Altmann DR, Baker D, Schmierer K. Axonal loss in the multiple sclerosis spinal cord revisited. Brain Pathol 2018; 28:334-348. [PMID: 28401686 PMCID: PMC8028682 DOI: 10.1111/bpa.12516] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Accepted: 04/05/2017] [Indexed: 01/06/2023] Open
Abstract
Preventing chronic disease deterioration is an unmet need in people with multiple sclerosis, where axonal loss is considered a key substrate of disability. Clinically, chronic multiple sclerosis often presents as progressive myelopathy. Spinal cord cross-sectional area (CSA) assessed using MRI predicts increasing disability and has, by inference, been proposed as an indirect index of axonal degeneration. However, the association between CSA and axonal loss, and their correlation with demyelination, have never been systematically investigated using human post mortem tissue. We extensively sampled spinal cords of seven women and six men with multiple sclerosis (mean disease duration= 29 years) and five healthy controls to quantify axonal density and its association with demyelination and CSA. 396 tissue blocks were embedded in paraffin and immuno-stained for myelin basic protein and phosphorylated neurofilaments. Measurements included total CSA, areas of (i) lateral cortico-spinal tracts, (ii) gray matter, (iii) white matter, (iv) demyelination, and the number of axons within the lateral cortico-spinal tracts. Linear mixed models were used to analyze relationships. In multiple sclerosis CSA reduction at cervical, thoracic and lumbar levels ranged between 19 and 24% with white (19-24%) and gray (17-21%) matter atrophy contributing equally across levels. Axonal density in multiple sclerosis was lower by 57-62% across all levels and affected all fibers regardless of diameter. Demyelination affected 24-48% of the gray matter, most extensively at the thoracic level, and 11-13% of the white matter, with no significant differences across levels. Disease duration was associated with reduced axonal density, however not with any area index. Significant association was detected between focal demyelination and decreased axonal density. In conclusion, over nearly 30 years multiple sclerosis reduces axonal density by 60% throughout the spinal cord. Spinal cord cross sectional area, reduced by about 20%, appears to be a poor predictor of axonal density.
Collapse
Affiliation(s)
- Natalia Petrova
- Blizard Institute (Neuroscience), Barts and the London School of Medicine & DentistryQueen Mary University of LondonLondonUK
| | - Daniele Carassiti
- Blizard Institute (Neuroscience), Barts and the London School of Medicine & DentistryQueen Mary University of LondonLondonUK
| | | | - David Baker
- Blizard Institute (Neuroscience), Barts and the London School of Medicine & DentistryQueen Mary University of LondonLondonUK
| | - Klaus Schmierer
- Blizard Institute (Neuroscience), Barts and the London School of Medicine & DentistryQueen Mary University of LondonLondonUK
- Neurosciences Clinical Academic Groupthe Royal London Hospital, Barts Health NHS TrustLondonUK
| |
Collapse
|
40
|
Restoration of motor function after operative reconstruction of the acutely transected spinal cord in the canine model. Surgery 2017; 163:976-983. [PMID: 29223327 DOI: 10.1016/j.surg.2017.10.015] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Revised: 09/20/2017] [Accepted: 10/11/2017] [Indexed: 11/22/2022]
Abstract
BACKGROUND Cephalosomatic anastomosis or what has been called a "head transplantation" requires full reconnection of the respective transected ends of the spinal cords. The GEMINI spinal cord fusion protocol has been developed for this reason. Here, we report the first randomized, controlled study of the GEMINI protocol in large animals. METHODS We conducted a randomized, controlled study of a complete transection of the spinal cord at the level of T10 in dogs at Harbin Medical University, Harbin, China. These dogs were followed for up to 8 weeks postoperatively by assessments of recovery of motor function, somato-sensory evoked potentials, and diffusion tensor imaging using magnetic resonance imaging. RESULTS A total of 12 dogs were subjected to operative exposure of the dorsal aspect of the spinal cord after laminectomy and longitudinal durotomy followed by a very sharp, controlled, full-thickness, complete transection of the spinal cord at T10. The fusogen, polyethylene glycol, was applied topically to the site of the spinal cord transection in 7 of 12 dogs; 0.9% NaCl saline was applied to the site of transection in the remaining 5 control dogs. Dogs were selected randomly to receive polyethylene glycol or saline. All polyethylene glycol-treated dogs reacquired a substantial amount of motor function versus none in controls over these first 2 months as assessed on the 20-point (0-19), canine, Basso-Beattie-Bresnahan rating scale (P<.006). Somatosensory evoked potentials confirmed restoration of electrical conduction cranially across the site of spinal cord transection which improved over time. Diffusion tensor imaging, a magnetic resonance permutation that assesses the integrity of nerve fibers and cells, showed restitution of the transected spinal cord with polyethylene glycol treatment (at-injury level difference: P<.02). CONCLUSION A sharply and fully transected spinal cord at the level of T10 can be reconstructed with restoration of many aspects of electrical continuity in large animals following the GEMINI spinal cord fusion protocol, with objective evidence of motor recovery and of electrical continuity across the site of transection, opening the way to the first cephalosomatic anastomosis. (Surgery 2017;160:XXX-XXX.).
Collapse
|
41
|
Moccia M, de Stefano N, Barkhof F. Imaging outcome measures for progressive multiple sclerosis trials. Mult Scler 2017; 23:1614-1626. [PMID: 29041865 PMCID: PMC5650056 DOI: 10.1177/1352458517729456] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Accepted: 07/28/2017] [Indexed: 11/16/2022]
Abstract
Imaging markers that are reliable, reproducible and sensitive to neurodegenerative changes in progressive multiple sclerosis (MS) can enhance the development of new medications with a neuroprotective mode-of-action. Accordingly, in recent years, a considerable number of imaging biomarkers have been included in phase 2 and 3 clinical trials in primary and secondary progressive MS. Brain lesion count and volume are markers of inflammation and demyelination and are important outcomes even in progressive MS trials. Brain and, more recently, spinal cord atrophy are gaining relevance, considering their strong association with disability accrual; ongoing improvements in analysis methods will enhance their applicability in clinical trials, especially for cord atrophy. Advanced magnetic resonance imaging (MRI) techniques (e.g. magnetization transfer ratio (MTR), diffusion tensor imaging (DTI), spectroscopy) have been included in few trials so far and hold promise for the future, as they can reflect specific pathological changes targeted by neuroprotective treatments. Positron emission tomography (PET) and optical coherence tomography have yet to be included. Applications, limitations and future perspectives of these techniques in clinical trials in progressive MS are discussed, with emphasis on measurement sensitivity, reliability and sample size calculation.
Collapse
Affiliation(s)
- Marcello Moccia
- NMR Research Unit, Queen Square MS Centre, UCL Institute of Neurology, University College London, London, UK; Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Sciences and Odontostomatology, University of Naples Federico II, Naples, Italy
| | - Nicola de Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Frederik Barkhof
- NMR Research Unit, Queen Square MS Centre, UCL Institute of Neurology, University College London, London, UK; Translational Imaging Group, UCL Institute of Healthcare Engineering, University College London, London, UK; Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
| |
Collapse
|
42
|
Mahajan KR, Ontaneda D. The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials. Neurotherapeutics 2017; 14:905-923. [PMID: 28770481 PMCID: PMC5722766 DOI: 10.1007/s13311-017-0561-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Magnetic resonance imaging has been crucial in the development of anti-inflammatory disease-modifying treatments. The current landscape of multiple sclerosis clinical trials is currently expanding to include testing not only of anti-inflammatory agents, but also neuroprotective, remyelinating, neuromodulating, and restorative therapies. This is especially true of therapies targeting progressive forms of the disease where neurodegeneration is a prominent feature. Imaging techniques of the brain and spinal cord have rapidly evolved in the last decade to permit in vivo characterization of tissue microstructural changes, connectivity, metabolic changes, neuronal loss, glial activity, and demyelination. Advanced magnetic resonance imaging techniques hold significant promise for accelerating the development of different treatment modalities targeting a variety of pathways in MS.
Collapse
Affiliation(s)
- Kedar R Mahajan
- Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland Clinic, 9500 Euclid Avenue, U-10, Cleveland, OH, 44195, USA
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland Clinic, 9500 Euclid Avenue, U-10, Cleveland, OH, 44195, USA.
| |
Collapse
|
43
|
Ren S, Liu ZH, Wu Q, Fu K, Wu J, Hou LT, Li M, Zhao X, Miao Q, Zhao YL, Wang SY, Xue Y, Xue Z, Guo YS, Canavero S, Ren XP. Polyethylene glycol-induced motor recovery after total spinal transection in rats. CNS Neurosci Ther 2017; 23:680-685. [PMID: 28612398 DOI: 10.1111/cns.12713] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Revised: 05/28/2017] [Accepted: 05/29/2017] [Indexed: 12/13/2022] Open
Abstract
AIMS Despite more than a century of research, spinal paralysis remains untreatable via biological means. A new understanding of spinal cord physiology and the introduction of membrane fusogens have provided new hope that a biological cure may soon become available. However, proof is needed from adequately powered animal studies. METHODS AND RESULTS Two groups of rats (n=9, study group, n=6 controls) were submitted to complete transection of the dorsal cord at T10. The animals were randomized to receive either saline or polyethylene glycol (PEG) in situ. After 4 weeks, the treated group had recovered ambulation vs none in the control group (BBB scores; P=.0145). One control died. All animals were studied with somatosensory-evoked potentials (SSEP) and diffusion tensor imaging (DTI). SSEP recovered postoperatively only in PEG-treated rats. At study end, DTI showed disappearance of the transection gap in the treated animals vs an enduring gap in controls (fractional anisotropy/FA at level: P=.0008). CONCLUSIONS We show for the first time in an adequately powered study that the paralysis attendant to a complete transection of the spinal cord can be reversed. This opens the path to a severance-reapposition cure of spinal paralysis, in which the injured segment is excised and the two stumps approximated after vertebrectomy/diskectomies.
Collapse
Affiliation(s)
- Shuai Ren
- Hand and Microsurgery Center, the second Affiliated Hospital of Harbin Medical University, Harbin, China.,State-Province Key Laboratories of Biomedicine-Pharmaceutics, Harbin Medical University, Harbin, China.,Heilongjiang Medical Science Institute, Harbin Medical University, Harbin, China
| | - Ze-Han Liu
- Hand and Microsurgery Center, the second Affiliated Hospital of Harbin Medical University, Harbin, China.,State-Province Key Laboratories of Biomedicine-Pharmaceutics, Harbin Medical University, Harbin, China.,Heilongjiang Medical Science Institute, Harbin Medical University, Harbin, China
| | - Qiong Wu
- Department of MRI Diagnosis, the second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Kuang Fu
- Department of MRI Diagnosis, the second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Jun Wu
- Department of Neurology, the second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Li-Ting Hou
- Department of Anesthesia, the second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ming Li
- Hand and Microsurgery Center, the second Affiliated Hospital of Harbin Medical University, Harbin, China.,State-Province Key Laboratories of Biomedicine-Pharmaceutics, Harbin Medical University, Harbin, China.,Heilongjiang Medical Science Institute, Harbin Medical University, Harbin, China
| | - Xin Zhao
- Hand and Microsurgery Center, the second Affiliated Hospital of Harbin Medical University, Harbin, China.,State-Province Key Laboratories of Biomedicine-Pharmaceutics, Harbin Medical University, Harbin, China.,Heilongjiang Medical Science Institute, Harbin Medical University, Harbin, China
| | - Qing Miao
- Hand and Microsurgery Center, the second Affiliated Hospital of Harbin Medical University, Harbin, China.,State-Province Key Laboratories of Biomedicine-Pharmaceutics, Harbin Medical University, Harbin, China.,Heilongjiang Medical Science Institute, Harbin Medical University, Harbin, China
| | - Yun-Long Zhao
- Hand and Microsurgery Center, the second Affiliated Hospital of Harbin Medical University, Harbin, China.,State-Province Key Laboratories of Biomedicine-Pharmaceutics, Harbin Medical University, Harbin, China.,Heilongjiang Medical Science Institute, Harbin Medical University, Harbin, China
| | - Sheng-Yu Wang
- Hand and Microsurgery Center, the second Affiliated Hospital of Harbin Medical University, Harbin, China.,State-Province Key Laboratories of Biomedicine-Pharmaceutics, Harbin Medical University, Harbin, China.,Heilongjiang Medical Science Institute, Harbin Medical University, Harbin, China
| | - Yan Xue
- Hand and Microsurgery Center, the second Affiliated Hospital of Harbin Medical University, Harbin, China.,State-Province Key Laboratories of Biomedicine-Pharmaceutics, Harbin Medical University, Harbin, China.,Heilongjiang Medical Science Institute, Harbin Medical University, Harbin, China
| | - Zhen Xue
- Hand and Microsurgery Center, the second Affiliated Hospital of Harbin Medical University, Harbin, China.,State-Province Key Laboratories of Biomedicine-Pharmaceutics, Harbin Medical University, Harbin, China.,Heilongjiang Medical Science Institute, Harbin Medical University, Harbin, China
| | - Ya-Shan Guo
- Hand and Microsurgery Center, the second Affiliated Hospital of Harbin Medical University, Harbin, China.,State-Province Key Laboratories of Biomedicine-Pharmaceutics, Harbin Medical University, Harbin, China.,Heilongjiang Medical Science Institute, Harbin Medical University, Harbin, China
| | - Sergio Canavero
- HEAVEN/GEMINI International Collaborative Group, Turin, Italy
| | - Xiao-Ping Ren
- Hand and Microsurgery Center, the second Affiliated Hospital of Harbin Medical University, Harbin, China.,State-Province Key Laboratories of Biomedicine-Pharmaceutics, Harbin Medical University, Harbin, China.,Heilongjiang Medical Science Institute, Harbin Medical University, Harbin, China.,Department of Molecular Pharmacology & Therapeutics, Stritch School of Medicine, Loyola University Chicago, Chicago, IL, USA
| |
Collapse
|
44
|
Relevance of early cervical cord volume loss in the disease evolution of clinically isolated syndrome and early multiple sclerosis: a 2-year follow-up study. J Neurol 2017; 264:1402-1412. [PMID: 28600596 DOI: 10.1007/s00415-017-8537-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Revised: 05/30/2017] [Accepted: 05/31/2017] [Indexed: 10/19/2022]
Abstract
Upper cervical cord area (UCCA) atrophy is a prognostic marker for clinical progression in longstanding multiple sclerosis (MS). The objectives of the study were to quantify UCCA atrophy and evaluate its impact in clinically isolated syndrome (CIS) and relapsing-remitting MS (RRMS); to compare converting CIS patients with stable CIS, and to study changes of UCCA and brain white matter (WM) and grey matter (GM) at 2-year follow-up. 110 therapy-naive patients including 53 CIS [6 ± 6 months after symptom onset (SO)] and 57 early RRMS (SO: 12 ± 9 months) underwent sagittal 3D-T1w brain MR (3T). Mean UCCA (C1-C3 level), WM and GM, disability status (EDSS), pyramidal and sensory functional scores, motoric fatigue were assessed at baseline (BL), 12 and 24 months. Volumes were compared with 34 age- and gender-matched healthy controls to assess atrophy. RRMS (78.1 ± 8.7 mm2, p = 0.011) and converting CIS (77.3 ± 8.0 mm2, p = 0.046) presented with baseline UCCA atrophy, when compared with controls (82.7 ± 5.2 mm2), but not stable CIS (82.6 ± 7.4 mm2, p = 0.998). Baseline WM was reduced in RRMS (509.3 ± 25.7 ml vs. CONTROLS 528.4 ± 24.1 ml, p = 0.032). Baseline UCCA correlated negative with muscular weakness and fatigability in all patients and RRMS. EDSS exceeding 3 was associated with lower baseline UCCA. Longitudinal atrophy rates were higher in UCCA than in brain volumes. Early cervical cord atrophy in CIS and RRMS was confirmed and may represent a potential new risk marker for conversion from CIS to MS. Baseline atrophy and atrophy change rates were higher in UCCA compared to WM and GM, suggesting that cervical cord volumetry might become an additional MRI marker relevant in future clinical studies in CIS and early MS.
Collapse
|
45
|
|
46
|
Ornelas IM, McLane LE, Saliu A, Evangelou AV, Khandker L, Wood TL. Heterogeneity in oligodendroglia: Is it relevant to mouse models and human disease? J Neurosci Res 2016; 94:1421-1433. [PMID: 27557736 PMCID: PMC5513674 DOI: 10.1002/jnr.23900] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2016] [Revised: 07/29/2016] [Accepted: 08/04/2016] [Indexed: 01/09/2023]
Abstract
There are many lines of evidence indicating that oligodendrocyte progenitor cells and oligodendrocyte populations in the central nervous system (CNS) are heterogeneous based on their developmental origins as well as from morphological and molecular criteria. Whether these distinctions reflect functional heterogeneity is less clear and has been the subject of considerable debate. Recent findings, particularly from knockout mouse models, have provided new evidence for regional variations in myelination phenotypes, particularly between brain and spinal cord. These data raise the possibility that oligodendrocytes in these regions have different functional capacities and/or ability to compensate for loss of a specific gene. The goal of this review is to briefly revisit the evidence for oligodendrocyte heterogeneity and then to present data from transgenic and demyelinating mouse models suggesting functional heterogeneity in myelination, demyelination, and remyelination in the CNS and, finally, to discuss the implications of these findings for human diseases. © 2016 Wiley Periodicals, Inc.
Collapse
Affiliation(s)
- Isis M Ornelas
- Department of Pharmacology, Physiology & Neuroscience, New Jersey Medical School, Rutgers University, Newark, New Jersey
| | - Lauren E McLane
- Department of Pharmacology, Physiology & Neuroscience, New Jersey Medical School, Rutgers University, Newark, New Jersey
| | - Aminat Saliu
- Department of Pharmacology, Physiology & Neuroscience, New Jersey Medical School, Rutgers University, Newark, New Jersey
| | - Angelina V Evangelou
- Department of Pharmacology, Physiology & Neuroscience, New Jersey Medical School, Rutgers University, Newark, New Jersey
| | - Luipa Khandker
- Department of Pharmacology, Physiology & Neuroscience, New Jersey Medical School, Rutgers University, Newark, New Jersey
| | - Teresa L Wood
- Department of Pharmacology, Physiology & Neuroscience, New Jersey Medical School, Rutgers University, Newark, New Jersey.
| |
Collapse
|
47
|
Yiannakas MC, Grussu F, Louka P, Prados F, Samson RS, Battiston M, Altmann DR, Ourselin S, Miller DH, Gandini Wheeler-Kingshott CAM. Reduced Field-of-View Diffusion-Weighted Imaging of the Lumbosacral Enlargement: A Pilot In Vivo Study of the Healthy Spinal Cord at 3T. PLoS One 2016; 11:e0164890. [PMID: 27741303 PMCID: PMC5065166 DOI: 10.1371/journal.pone.0164890] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Accepted: 10/03/2016] [Indexed: 11/21/2022] Open
Abstract
Diffusion tensor imaging (DTI) has recently started to be adopted into clinical investigations of spinal cord (SC) diseases. However, DTI applications to the lower SC are limited due to a number of technical challenges, related mainly to the even smaller size of the SC structure at this level, its position relative to the receiver coil elements and the effects of motion during data acquisition. Developing methods to overcome these problems would offer new means to gain further insights into microstructural changes of neurological conditions involving the lower SC, and in turn could help explain symptoms such as bladder and sexual dysfunction. In this work, the feasibility of obtaining grey and white matter (GM/WM) DTI indices such as axial/radial/mean diffusivity (AD/RD/MD) and fractional anisotropy (FA) within the lumbosacral enlargement (LSE) was investigated using a reduced field-of-view (rFOV) single-shot echo-planar imaging (ss-EPI) acquisition in 14 healthy participants using a clinical 3T MR system. The scan-rescan reproducibility of the measurements was assessed by calculating the percentage coefficient of variation (%COV). Mean FA was higher in WM compared to GM (0.58 and 0.4 in WM and GM respectively), AD and MD were higher in WM compared to GM (1.66 μm2ms-1 and 0.94 μm2ms-1 in WM and 1.2 μm2ms-1 and 0.82 μm2ms-1 in GM for AD and MD respectively) and RD was lower in WM compared to GM (0.58 μm2ms-1 and 0.63 μm2ms-1 respectively). The scan-rescan %COV was lower than 10% in all cases with the highest values observed for FA and the lowest for MD. This pilot study demonstrates that it is possible to obtain reliable tissue-specific estimation of DTI indices within the LSE using a rFOV ss-EPI acquisition. The DTI acquisition and analysis protocol presented here is clinically feasible and may be used in future investigations of neurological conditions implicating the lower SC.
Collapse
Affiliation(s)
- Marios C. Yiannakas
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, United Kingdom
| | - Francesco Grussu
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, United Kingdom
| | - Polymnia Louka
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, United Kingdom
| | - Ferran Prados
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, United Kingdom
- Translational Imaging Group, Centre for Medical Image Computing, Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
- University College London / University College London Hospitals National Institute for Health Research (NIHR) Biomedical Research Centre, London, United Kingdom
| | - Rebecca S. Samson
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, United Kingdom
| | - Marco Battiston
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, United Kingdom
| | - Daniel R. Altmann
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, United Kingdom
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Sebastien Ourselin
- Translational Imaging Group, Centre for Medical Image Computing, Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
- University College London / University College London Hospitals National Institute for Health Research (NIHR) Biomedical Research Centre, London, United Kingdom
| | - David H. Miller
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, United Kingdom
- University College London / University College London Hospitals National Institute for Health Research (NIHR) Biomedical Research Centre, London, United Kingdom
| | - Claudia A. M. Gandini Wheeler-Kingshott
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, United Kingdom
- Brain MRI 3T Mondino Research Center, C. Mondino National Neurological Institute, Pavia, Italy
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, PV, Italy
| |
Collapse
|
48
|
Huang Q, Xiao B, Ma X, Qu M, Li Y, Nagarkatti P, Nagarkatti M, Zhou J. MicroRNAs associated with the pathogenesis of multiple sclerosis. J Neuroimmunol 2016; 295-296:148-61. [DOI: 10.1016/j.jneuroim.2016.04.014] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Revised: 04/25/2016] [Accepted: 04/26/2016] [Indexed: 12/14/2022]
|
49
|
Leocani L, Rocca MA, Comi G. MRI and neurophysiological measures to predict course, disability and treatment response in multiple sclerosis. Curr Opin Neurol 2016; 29:243-53. [DOI: 10.1097/wco.0000000000000333] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
|
50
|
Samson RS, Lévy S, Schneider T, Smith AK, Smith SA, Cohen-Adad J, Gandini Wheeler-Kingshott CAM. ZOOM or Non-ZOOM? Assessing Spinal Cord Diffusion Tensor Imaging Protocols for Multi-Centre Studies. PLoS One 2016; 11:e0155557. [PMID: 27171194 PMCID: PMC4865165 DOI: 10.1371/journal.pone.0155557] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2016] [Accepted: 04/29/2016] [Indexed: 12/02/2022] Open
Abstract
The purpose of this study was to develop and evaluate two spinal cord (SC) diffusion tensor imaging (DTI) protocols, implemented at multiple sites (using scanners from two different manufacturers), one available on any clinical scanner, and one using more advanced options currently available in the research setting, and to use an automated processing method for unbiased quantification. DTI parameters are sensitive to changes in the diseased SC. However, imaging the cord can be technically challenging due to various factors including its small size, patient-related and physiological motion, and field inhomogeneities. Rapid acquisition sequences such as Echo Planar Imaging (EPI) are desirable but may suffer from image distortions. We present a multi-centre comparison of two acquisition protocols implemented on scanners from two different vendors (Siemens and Philips), one using a reduced field-of-view (rFOV) EPI sequence, and one only using options available on standard clinical scanners such as outer volume suppression (OVS). Automatic analysis was performed with the Spinal Cord Toolbox for unbiased and reproducible quantification of DTI metrics in the white matter. Images acquired using the rFOV sequence appear less distorted than those acquired using OVS alone. SC DTI parameter values obtained using both sequences at all sites were consistent with previous measurements made at 3T. For the same scanner manufacturer, DTI parameter inter-site SDs were smaller for the rFOV sequence compared to the OVS sequence. The higher inter-site reproducibility (for the same manufacturer and acquisition details, i.e. ZOOM data acquired at the two Philips sites) of rFOV compared to the OVS sequence supports the idea that making research options such as rFOV more widely available would improve accuracy of measurements obtained in multi-centre clinical trials. Future multi-centre studies should also aim to match the rFOV technique and signal-to-noise ratios in all sequences from different manufacturers/sites in order to avoid any bias in measured DTI parameters and ensure similar sensitivity to pathological changes.
Collapse
Affiliation(s)
- Rebecca S. Samson
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, United Kingdom
- * E-mail:
| | - Simon Lévy
- Institute of Biomedical Engineering, Ecole Polytechnique de Montreal, Montreal, QC, Canada
- Functional Neuroimaging Unit, University of Montreal, Montreal, QC, Canada
| | - Torben Schneider
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, United Kingdom
- Philips Healthcare, Guilford, Surrey, United Kingdom
| | - Alex K. Smith
- Vanderbilt University Institute of Imaging Science (VUIIS), Vanderbilt University, Nashville, Tennessee, United States of America
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Seth A. Smith
- Vanderbilt University Institute of Imaging Science (VUIIS), Vanderbilt University, Nashville, Tennessee, United States of America
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America
- Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Julien Cohen-Adad
- Institute of Biomedical Engineering, Ecole Polytechnique de Montreal, Montreal, QC, Canada
- Functional Neuroimaging Unit, University of Montreal, Montreal, QC, Canada
| | - Claudia A. M. Gandini Wheeler-Kingshott
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, United Kingdom
- Brain MRI 3T Center, C. Mondino National Neurological Institute, Pavia, Italy
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| |
Collapse
|