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de Lucena LZ, Campanholo KR, Pereira SLA, Tavora DGF, Callegaro D, Buchpiguel CA, Pitombeira MS, de Paula Faria D. Evaluation of myelin content in the spinal cord of patients with multiple sclerosis: A positron emission tomography study. Mult Scler Relat Disord 2024; 93:106248. [PMID: 39731904 DOI: 10.1016/j.msard.2024.106248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2024] [Revised: 12/09/2024] [Accepted: 12/20/2024] [Indexed: 12/30/2024]
Abstract
BACKGROUND Multiple sclerosis (MS) is divided into Relapsing-Remitting (RRMS) and Progressive (PMS) phenotypes, both associated with spinal cord (SC) damage. MS-related disability and SC atrophy are not yet fully understood and can differ across phenotypes. A combined approach using Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI) could provide a broader understanding of myelin changes in the cervical SC (CSC) in different MS phenotypes and the associations with disability. OBJECTIVES To evaluate CSC myelin content using a PET-MRI with [11C]PIB and its association with disability in PMS and RRMS compared to healthy volunteers (HV). METHODS [11C]PIB PET images and T1-MRI of 49 patients with MS and 19 HV were evaluated at C1-C2, C3, and C4 vertebrae levels. [11C]PIB uptake and volume were compared between groups. RESULTS [11C]PIB uptake was significantly lower at C1-C4, C1-C2, and C3 segments when comparing PMS to RRMS and HV. [11C]PIB uptake inversely correlated with overall disability in all CSC segments in all patients with MS, and in the RRMS phenotype separately. CONCLUSIONS Our findings suggest an association between [11C]PIB CSC uptake and overall disability score measured by EDSS. MRI and PET can be used as complementary methods for studying MS.
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Affiliation(s)
- Letícia Zorante de Lucena
- Laboratory of Nuclear Medicine (LIM43), Department of Radiology and Oncology, Faculdade de Medicina-FMUSP, Universidade de São Paulo, São Paulo 05403-911, SP, Brazil.
| | - Kenia Repiso Campanholo
- Laboratory of Nuclear Medicine (LIM43), Department of Radiology and Oncology, Faculdade de Medicina-FMUSP, Universidade de São Paulo, São Paulo 05403-911, SP, Brazil.
| | | | | | - Dagoberto Callegaro
- Department of Neurology, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo 05403-911, SP, Brazil.
| | - Carlos Alberto Buchpiguel
- Laboratory of Nuclear Medicine (LIM43), Department of Radiology and Oncology, Faculdade de Medicina-FMUSP, Universidade de São Paulo, São Paulo 05403-911, SP, Brazil.
| | - Milena Sales Pitombeira
- Laboratory of Nuclear Medicine (LIM43), Department of Radiology and Oncology, Faculdade de Medicina-FMUSP, Universidade de São Paulo, São Paulo 05403-911, SP, Brazil; Neurology Department, Hospital Geral de Fortaleza, Fortaleza 60150-160, CE, Brazil.
| | - Daniele de Paula Faria
- Laboratory of Nuclear Medicine (LIM43), Department of Radiology and Oncology, Faculdade de Medicina-FMUSP, Universidade de São Paulo, São Paulo 05403-911, SP, Brazil.
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Keegan BM, Absinta M, Cohen-Adad J, Flanagan EP, Henry RG, Klawiter EC, Kolind S, Krieger S, Laule C, Lincoln JA, Messina S, Oh J, Papinutto N, Smith SA, Traboulsee A. Spinal cord evaluation in multiple sclerosis: clinical and radiological associations, present and future. Brain Commun 2024; 6:fcae395. [PMID: 39611182 PMCID: PMC11604059 DOI: 10.1093/braincomms/fcae395] [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: 05/02/2024] [Revised: 09/30/2024] [Accepted: 11/05/2024] [Indexed: 11/30/2024] Open
Abstract
Spinal cord disease is important in most people with multiple sclerosis, but assessment remains less emphasized in patient care, basic and clinical research and therapeutic trials. The North American Imaging in Multiple Sclerosis Spinal Cord Interest Group was formed to determine and present the contemporary landscape of multiple sclerosis spinal cord evaluation, further existing and advanced spinal cord imaging techniques, and foster collaborative work. Important themes arose: (i) multiple sclerosis spinal cord lesions (differential diagnosis, association with clinical course); (ii) spinal cord radiological-pathological associations; (iii) 'critical' spinal cord lesions; (iv) multiple sclerosis topographical model; (v) spinal cord atrophy; and (vi) automated and special imaging techniques. Distinguishing multiple sclerosis from other myelopathic aetiology is increasingly refined by imaging and serological studies. Post-mortem spinal cord findings and MRI pathological correlative studies demonstrate MRI's high sensitivity in detecting microstructural demyelination and axonal loss. Spinal leptomeninges include immune inflammatory infiltrates, some in B-cell lymphoid-like structures. 'Critical' demyelinating lesions along spinal cord corticospinal tracts are anatomically consistent with and may be disproportionately associated with motor progression. Multiple sclerosis topographical model implicates the spinal cord as an area where threshold impairment associates with multiple sclerosis disability. Progressive spinal cord atrophy and 'silent' multiple sclerosis progression may be emerging as an important multiple sclerosis prognostic biomarker. Manual atrophy assessment is complicated by rater bias, while automation (e.g. Spinal Cord Toolbox), and artificial intelligence may reduce this. Collaborative research by the North American Imaging in Multiple Sclerosis and similar groups with experts combining distinct strengths is key to advancing assessment and treatment of people with multiple sclerosis spinal cord disease.
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Affiliation(s)
- B Mark Keegan
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Martina Absinta
- Department of Neurology, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Julien Cohen-Adad
- Institute of Biomedical Imaging, Polytechnique Montreal, Montreal, Canada H3T 1J4
| | - Eoin P Flanagan
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Roland G Henry
- Department of Neurology, University of California San Francisco, San Francisco, CA 94143, USA
| | - Eric C Klawiter
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
| | - Shannon Kolind
- Division of Neurology, University of British Columbia, Vancouver, Canada V6T 2B5
| | - Stephen Krieger
- Department of Neurology, Mount Sinai, New York City, NY 10029, USA
| | - Cornelia Laule
- Division of Neurology, University of British Columbia, Vancouver, Canada V6T 2B5
| | - John A Lincoln
- McGovern Medical School, UTHealth, Houston, TX 77030, USA
| | - Steven Messina
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Jiwon Oh
- Division of Neurology, University of Toronto, Toronto, Canada M5B 1W8
| | - Nico Papinutto
- Department of Neurology, University of California San Francisco, San Francisco, CA 94143, USA
| | - Seth Aaron Smith
- Institute of Imaging Science, Vanderbilt University, Nashville, TN 37232, USA
| | - Anthony Traboulsee
- Division of Neurology, University of British Columbia, Vancouver, Canada V6T 2B5
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Maarouf A, Stellmann JP, Rico A, Boutiere C, Demortiere S, Durozard P, Zaaraoui W, Ranjeva JP, Pelletier J, Audoin B. Active and non-active progression independent of relapse activity within the first 20 years of relapsing multiple sclerosis. J Neurol Neurosurg Psychiatry 2024; 95:974-978. [PMID: 38719433 DOI: 10.1136/jnnp-2024-333597] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 04/19/2024] [Indexed: 09/19/2024]
Abstract
BACKGROUND Progression independent of relapse activity (PIRA) has been described since the early stage of relapsing multiple sclerosis (RMS). However, little is known about the relation between PIRA and inflammatory activity that is particularly important at this stage of the disease. METHOD We included 110 patients in a prospective study within 18 months of RMS onset. MRI examinations and clinical visits were scheduled on the same day for months 0, 6, 12, 24, 36, 60, 84, 120, 180 and 240. RESULTS The mean (SD) age of patients was 30 (6.7) years at inclusion and median (range) follow-up 15 (9-20) years. Analysis of 1118 between-visit intervals revealed 93 confirmed disability accumulation events in 68 (62%) patients: 50 (54%) events related to relapse activity worsening and 43 (46%) PIRA events, including 17 (18%) with MRI activity. The risk of PIRA between two visits (stable event as the reference category) was associated with Expanded Disability Status Scale (EDSS) score (HR: 1.41; 95% CI: 1.18 to 1.69; p<0.001), disease duration (HR: 0.75; 95% CI: 0.62 to 0.90; p<0.005) and new lesions between the visits (HR: 1.09 per lesion; 95% CI: 1.01 to 1.17; p<0.05). As compared with PIRA events with MRI activity, PIRA events without such activity occurred in patients with more disability (mean EDSS score 3, p<0.05), longer disease duration (mean 11 years, p<0.001) and greater number of T2-weighted lesions (p<0.05). CONCLUSION This study evidenced that inflammatory activity increases the risk of PIRA in early RMS, arguing that a significant part of PIRA is accessible to treatment targeting inflammation in these patients.
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Affiliation(s)
- Adil Maarouf
- Pôle de Neurosciences Cliniques, Service de Neurologie, Assistance Publique Hopitaux de Marseille, Marseille, France
- Aix-Marseille Univ, CRMBM, CNRS UMR 7339, Marseille, France
| | - Jan Patrick Stellmann
- Aix-Marseille Univ, CRMBM, CNRS UMR 7339, Marseille, France
- Département de Neuroradiologie, Assistance Publique Hopitaux de Marseille, Marseille, France
| | - Audrey Rico
- Pôle de Neurosciences Cliniques, Service de Neurologie, Assistance Publique Hopitaux de Marseille, Marseille, France
- Aix-Marseille Univ, CRMBM, CNRS UMR 7339, Marseille, France
| | - Clemence Boutiere
- Pôle de Neurosciences Cliniques, Service de Neurologie, Assistance Publique Hopitaux de Marseille, Marseille, France
| | - Sarah Demortiere
- Pôle de Neurosciences Cliniques, Service de Neurologie, Assistance Publique Hopitaux de Marseille, Marseille, France
| | | | - Wafaa Zaaraoui
- Aix-Marseille Univ, CRMBM, CNRS UMR 7339, Marseille, France
| | | | - Jean Pelletier
- Pôle de Neurosciences Cliniques, Service de Neurologie, Assistance Publique Hopitaux de Marseille, Marseille, France
- Aix-Marseille Univ, CRMBM, CNRS UMR 7339, Marseille, France
| | - Bertrand Audoin
- Pôle de Neurosciences Cliniques, Service de Neurologie, Assistance Publique Hopitaux de Marseille, Marseille, France
- Aix-Marseille Univ, CRMBM, CNRS UMR 7339, Marseille, France
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Keegan BM, Messina SA, Hanson D, Holmes D, Camp J, Sechi E, Nayak S, Barakat B, Ahmad R, Mandrekar J, Harmsen WS, Kantarci O, Weinshenker BG, Flanagan EP. MR Imaging Features of Critical Spinal Demyelinating Lesions Associated with Progressive Motor Impairment. AJNR Am J Neuroradiol 2024; 45:943-950. [PMID: 38754997 PMCID: PMC11286007 DOI: 10.3174/ajnr.a8304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 02/19/2024] [Indexed: 05/18/2024]
Abstract
BACKGROUND AND PURPOSE Progressive MS is typically heralded by a myelopathic pattern of asymmetric progressive motor weakness. Focal individual "critical" demyelinating spinal cord lesions anatomically associated with progressive motor impairment may be a compelling explanation for this clinical presentation as described in progressive solitary sclerosis (single CNS demyelinating lesion), progressive demyelination with highly restricted MR imaging lesion burden (2-5 total CNS demyelinating lesions; progressive paucisclerotic MS), and progressive, exclusively unilateral hemi- or monoparetic MS (>5 CNS demyelinating progressive unilateral hemi- or monoparetic MS [PUHMS] lesions). Critical demyelinating lesions appear strikingly similar across these cohorts, and we describe their specific spinal cord MR imaging characteristics. MATERIALS AND METHODS We performed a retrospective, observational MR imaging study comparing spinal cord critical demyelinating lesions anatomically associated with progressive motor impairment with any additional "noncritical" (not anatomically associated with progressive motor impairment) spinal cord demyelinating lesions. All spinal cord MR images (302 cervical and 91 thoracic) were reviewed by an experienced neuroradiologist with final radiologic assessment on the most recent MR imaging. Anatomic association with clinical progressive motor impairment was confirmed independently by MS subspecialists. RESULTS Ninety-one individuals (PUHMS, 37 [41%], progressive paucisclerosis 35 [38%], progressive solitary sclerosis 19 [21%]) with 91 critical and 98 noncritical spinal cord MR imaging demyelinating lesions were evaluated. MR imaging characteristics that favored critical spinal cord demyelinating lesions over noncritical lesions included moderate-to-severe, focal, lesion-associated spinal cord atrophy: 41/91 (45%) versus 0/98 (0%) (OR, 161.91; 9.43 to >999.9); lateral column axial location (OR, 10.43; 3.88-28.07); central region (OR, 3.23; 1.78-5.88); ventral column (OR, 2.98; 1.55-5.72); and larger lesion size of the axial width (OR, 2.01;1.49-2.72), transverse axial size (OR, 1.66; 1.36-2.01), or lesion area (OR, 1.14; 1.08-1.2). Multiple regression analysis revealed focal atrophy and lateral axial location as having the strongest association with critical demyelinating lesions. CONCLUSIONS Focal, lesion-associated atrophy, lateral column axial location, and larger lesion size are spinal cord MR imaging characteristics of critical demyelinating lesions. The presence of critical demyelinating lesions should be sought as these features may be associated with the development of progressive motor impairment in MS.
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Affiliation(s)
- B Mark Keegan
- From the Department of Neurology (B.M.K., E.S., S.N., B.B., R.A., J.M., O.K., B.G.W., E.P.F.), Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, Minnesota
| | - Steven A Messina
- Department of Radiology (S.A.M.), Mayo Clinic, Rochester, Minnesota
| | - Dennis Hanson
- Biomedical Imaging Resource (D. Hanson, D. Holmes, J.C.), Mayo Clinic, Rochester, Minnesota
| | - David Holmes
- Biomedical Imaging Resource (D. Hanson, D. Holmes, J.C.), Mayo Clinic, Rochester, Minnesota
| | - Jon Camp
- Biomedical Imaging Resource (D. Hanson, D. Holmes, J.C.), Mayo Clinic, Rochester, Minnesota
| | - Elia Sechi
- From the Department of Neurology (B.M.K., E.S., S.N., B.B., R.A., J.M., O.K., B.G.W., E.P.F.), Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, Minnesota
- Università degli Studi di Sassari (E.S.), Sassari, Italy
| | - Shreya Nayak
- From the Department of Neurology (B.M.K., E.S., S.N., B.B., R.A., J.M., O.K., B.G.W., E.P.F.), Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, Minnesota
- St. Elizabeth Dearborn Hospital (S.N.), Lawrenceburg, Indiana
| | - Benan Barakat
- From the Department of Neurology (B.M.K., E.S., S.N., B.B., R.A., J.M., O.K., B.G.W., E.P.F.), Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, Minnesota
- Mercy St. Vincent Medical Center (B.B.), Toledo, Ohio
| | - Rowaid Ahmad
- From the Department of Neurology (B.M.K., E.S., S.N., B.B., R.A., J.M., O.K., B.G.W., E.P.F.), Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, Minnesota
- University of Texas Medical Branch (R.A.), Galveston, Texas
| | - Jay Mandrekar
- From the Department of Neurology (B.M.K., E.S., S.N., B.B., R.A., J.M., O.K., B.G.W., E.P.F.), Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, Minnesota
- Quantitative Health Services (J.M., W.S.H,), Mayo Clinic, Rochester, Minnesota
| | - W Scott Harmsen
- Quantitative Health Services (J.M., W.S.H,), Mayo Clinic, Rochester, Minnesota
| | - Orhun Kantarci
- From the Department of Neurology (B.M.K., E.S., S.N., B.B., R.A., J.M., O.K., B.G.W., E.P.F.), Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, Minnesota
| | - Brian G Weinshenker
- From the Department of Neurology (B.M.K., E.S., S.N., B.B., R.A., J.M., O.K., B.G.W., E.P.F.), Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, Minnesota
- Department of Neurology (B.G.W.), University of Virginia Health, Charlottesville, Virginia
| | - Eoin P Flanagan
- From the Department of Neurology (B.M.K., E.S., S.N., B.B., R.A., J.M., O.K., B.G.W., E.P.F.), Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, Minnesota
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Valošek J, Cohen-Adad J. Reproducible Spinal Cord Quantitative MRI Analysis with the Spinal Cord Toolbox. Magn Reson Med Sci 2024; 23:307-315. [PMID: 38479843 PMCID: PMC11234946 DOI: 10.2463/mrms.rev.2023-0159] [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: 07/02/2024] Open
Abstract
The spinal cord plays a pivotal role in the central nervous system, providing communication between the brain and the body and containing critical motor and sensory networks. Recent advancements in spinal cord MRI data acquisition and image analysis have shown a potential to improve the diagnostics, prognosis, and management of a variety of pathological conditions. In this review, we first discuss the significance of standardized spinal cord MRI acquisition protocol in multi-center and multi-manufacturer studies. Then, we cover open-access spinal cord MRI datasets, which are important for reproducible science and validation of new methods. Finally, we elaborate on the recent advances in spinal cord MRI data analysis techniques implemented in the open-source software package Spinal Cord Toolbox (SCT).
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Affiliation(s)
- Jan Valošek
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
- Mila - Quebec AI Institute, Montreal, QC, Canada
- Department of Neurosurgery, Faculty of Medicine and Dentistry, Palacký University Olomouc, Olomouc, Czechia
- Department of Neurology, Faculty of Medicine and Dentistry, Palacký University Olomouc, Olomouc, Czechia
| | - Julien Cohen-Adad
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
- Mila - Quebec AI Institute, Montreal, QC, Canada
- Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada
- Centre de Recherche du CHU Sainte-Justine, Université de Montréal, Montreal, QC, Canada
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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.
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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
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Hu M, Xu F, Liu S, Yao Y, Xia Q, Zhu C, Zhang X, Tang H, Qaiser Z, Liu S, Tang Y. Aging pattern of the brainstem based on volumetric measurement and optimized surface shape analysis. Brain Imaging Behav 2024; 18:396-411. [PMID: 38155336 DOI: 10.1007/s11682-023-00840-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/11/2023] [Indexed: 12/30/2023]
Abstract
The brainstem, a small and crucial structure, is connected to the cerebrum, spinal cord, and cerebellum, playing a vital role in regulating autonomic functions, transmitting motor and sensory information, and modulating cognitive processes, emotions, and consciousness. While previous research has indicated that changes in brainstem anatomy can serve as a biomarker for aging and neurodegenerative diseases, the structural changes that occur in the brainstem during normal aging remain unclear. This study aimed to examine the age- and sex-related differences in the global and local structural measures of the brainstem in 187 healthy adults (ranging in age from 18 to 70 years) using structural magnetic resonance imaging. The findings showed a significant negative age effect on the volume of the two major components of the brainstem: the medulla oblongata and midbrain. The shape analysis revealed that atrophy primarily occurs in specific structures, such as the pyramid, cerebral peduncle, superior and inferior colliculi. Surface area and shape analysis showed a trend of flattening in the aging brainstem. There were no significant differences between the sexes or sex-by-age interactions in brainstem structural measures. These findings provide a systematic description of age associations with brainstem structures in healthy adults and may provide a reference for future research on brain aging and neurodegenerative diseases.
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Affiliation(s)
- Minqi Hu
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China
| | - Feifei Xu
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China
| | - Shizhou Liu
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China
| | - Yuan Yao
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China
| | - Qing Xia
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China
| | - Caiting Zhu
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China
| | - Xinwen Zhang
- Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Haiyan Tang
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China
| | - Zubair Qaiser
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China
| | - Shuwei Liu
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China
| | - Yuchun Tang
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China.
- Advanced Medical Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
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Waldman AD, Catania C, Pisa M, Jenkinson M, Lenardo MJ, DeLuca GC. The prevalence and topography of spinal cord demyelination in multiple sclerosis: a retrospective study. Acta Neuropathol 2024; 147:51. [PMID: 38460050 PMCID: PMC10924711 DOI: 10.1007/s00401-024-02700-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 01/12/2024] [Accepted: 01/27/2024] [Indexed: 03/11/2024]
Abstract
Spinal cord pathology is a major determinant of irreversible disability in progressive multiple sclerosis. The demyelinated lesion is a cardinal feature. The well-characterised anatomy of the spinal cord and new analytic approaches allows the systematic study of lesion topography and its extent of inflammatory activity unveiling new insights into disease pathogenesis. We studied cervical, thoracic, and lumbar spinal cord tissue from 119 pathologically confirmed multiple sclerosis cases. Immunohistochemistry was used to detect demyelination (PLP) and classify lesional inflammatory activity (CD68). Prevalence and distribution of demyelination, staged by lesion activity, was determined and topographical maps were created to identify patterns of lesion prevalence and distribution using mixed models and permutation-based voxelwise analysis. 460 lesions were observed throughout the spinal cord with 76.5% of cases demonstrating at least 1 lesion. The cervical level was preferentially affected by lesions. 58.3% of lesions were inflammatory with 87.9% of cases harbouring at least 1 inflammatory lesion. Topographically, lesions consistently affected the dorsal and lateral columns with relative sparing of subpial areas in a distribution mirroring the vascular network. The presence of spinal cord lesions and the proportion of active lesions related strongly with clinical disease milestones, including time from onset to wheelchair and onset to death. We demonstrate that spinal cord demyelination is common, highly inflammatory, has a predilection for the cervical level, and relates to clinical disability. The topography of lesions in the dorsal and lateral columns and relative sparing of subpial areas points to a role of the vasculature in lesion pathogenesis, suggesting short-range cell infiltration from the blood and signaling molecules circulating in the perivascular space incite lesion development. These findings challenge the notion that end-stage progressive multiple sclerosis is 'burnt out' and an outside-in lesional gradient predominates in the spinal cord. Taken together, this study provides support for long-term targeting of inflammatory demyelination in the spinal cord and nominates vascular dysfunction as a potential target for new therapeutic approaches to limit irreversible disability.
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Affiliation(s)
- Alex D Waldman
- Nuffield Department of Clinical Neurosciences, University of Oxford, Level 1, West Wing, John Radcliffe Hospital, Oxford, OX3 9DU, UK
- Molecular Development of the Immune System Section, Laboratory of Immune System Biology and Clinical Genomics Program, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Cecilia Catania
- Nuffield Department of Clinical Neurosciences, University of Oxford, Level 1, West Wing, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - Marco Pisa
- Nuffield Department of Clinical Neurosciences, University of Oxford, Level 1, West Wing, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - Mark Jenkinson
- Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, Oxford Centre for Functional MRI of the Brain, John Radcliffe Hospital, Oxford, OX3 9DU, UK
- Australian Institute for Machine Learning (AIML), School of Computer and Mathematical Sciences, University of Adelaide, Adelaide, Australia
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia
| | - Michael J Lenardo
- Molecular Development of the Immune System Section, Laboratory of Immune System Biology and Clinical Genomics Program, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Gabriele C DeLuca
- Nuffield Department of Clinical Neurosciences, University of Oxford, Level 1, West Wing, John Radcliffe Hospital, Oxford, OX3 9DU, UK.
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9
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Silva RV, Morr AS, Herthum H, Koch SP, Mueller S, Batzdorf CS, Bertalan G, Meyer T, Tzschätzsch H, Kühl AA, Boehm-Sturm P, Braun J, Scheel M, Paul F, Infante-Duarte C, Sack I. Cortical matrix remodeling as a hallmark of relapsing-remitting neuroinflammation in MR elastography and quantitative MRI. Acta Neuropathol 2024; 147:8. [PMID: 38175305 PMCID: PMC10766667 DOI: 10.1007/s00401-023-02658-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 11/03/2023] [Accepted: 11/23/2023] [Indexed: 01/05/2024]
Abstract
Multiple sclerosis (MS) is a chronic neuroinflammatory disease that involves both white and gray matter. Although gray matter damage is a major contributor to disability in MS patients, conventional clinical magnetic resonance imaging (MRI) fails to accurately detect gray matter pathology and establish a clear correlation with clinical symptoms. Using magnetic resonance elastography (MRE), we previously reported global brain softening in MS and experimental autoimmune encephalomyelitis (EAE). However, it needs to be established if changes of the spatiotemporal patterns of brain tissue mechanics constitute a marker of neuroinflammation. Here, we use advanced multifrequency MRE with tomoelastography postprocessing to investigate longitudinal and regional inflammation-induced tissue changes in EAE and in a small group of MS patients. Surprisingly, we found reversible softening in synchrony with the EAE disease course predominantly in the cortex of the mouse brain. This cortical softening was associated neither with a shift of tissue water compartments as quantified by T2-mapping and diffusion-weighted MRI, nor with leukocyte infiltration as seen by histopathology. Instead, cortical softening correlated with transient structural remodeling of perineuronal nets (PNNs), which involved abnormal chondroitin sulfate expression and microgliosis. These mechanisms also appear to be critical in humans with MS, where tomoelastography for the first time demonstrated marked cortical softening. Taken together, our study shows that neuroinflammation (i) critically affects the integrity of PNNs in cortical brain tissue, in a reversible process that correlates with disease disability in EAE, (ii) reduces the mechanical integrity of brain tissue rather than leading to water accumulation, and (iii) shows similar spatial patterns in humans and mice. These results raise the prospect of leveraging MRE and quantitative MRI for MS staging and monitoring treatment in affected patients.
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Affiliation(s)
- Rafaela V Silva
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité - Universitätsmedizin Berlin, Berlin, Germany
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC - Experimental and Clinical Research Center, Berlin, Germany
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
- Charité - Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, Berlin, Germany
| | - Anna S Morr
- Charité - Universitätsmedizin Berlin, Department of Radiology, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Helge Herthum
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Center for Advanced Neuroimaging, Berlin, Germany
| | - Stefan P Koch
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Experimental Neurology and Center for Stroke Research Berlin, Berlin, Germany
- Charité-Universitätsmedizin Berlin, NeuroCure Cluster of Excellence and Charité Core Facility 7T Experimental MRI, Berlin, Germany
| | - Susanne Mueller
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Experimental Neurology and Center for Stroke Research Berlin, Berlin, Germany
- Charité-Universitätsmedizin Berlin, NeuroCure Cluster of Excellence and Charité Core Facility 7T Experimental MRI, Berlin, Germany
| | - Clara S Batzdorf
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité - Universitätsmedizin Berlin, Berlin, Germany
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC - Experimental and Clinical Research Center, Berlin, Germany
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Gergely Bertalan
- Charité - Universitätsmedizin Berlin, Department of Radiology, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Tom Meyer
- Charité - Universitätsmedizin Berlin, Department of Radiology, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Heiko Tzschätzsch
- Charité - Universitätsmedizin Berlin, Department of Radiology, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Anja A Kühl
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, iPATH.Berlin, Berlin, Germany
| | - Philipp Boehm-Sturm
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Experimental Neurology and Center for Stroke Research Berlin, Berlin, Germany
- Charité-Universitätsmedizin Berlin, NeuroCure Cluster of Excellence and Charité Core Facility 7T Experimental MRI, Berlin, Germany
| | - Jürgen Braun
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Informatics, Berlin, Germany
| | - Michael Scheel
- Charité - Universitätsmedizin Berlin Corporate, Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, NeuroCure Clinical Research Center, Berlin, Germany
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Department of Neuroradiology, Berlin, Germany
| | - Friedemann Paul
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Carmen Infante-Duarte
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité - Universitätsmedizin Berlin, Berlin, Germany.
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC - Experimental and Clinical Research Center, Berlin, Germany.
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
| | - Ingolf Sack
- Charité - Universitätsmedizin Berlin, Department of Radiology, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
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10
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Lauerer M, McGinnis J, Bussas M, El Husseini M, Pongratz V, Engl C, Wuschek A, Berthele A, Riederer I, Kirschke JS, Zimmer C, Hemmer B, Mühlau M. Prognostic value of spinal cord lesion measures in early relapsing-remitting multiple sclerosis. J Neurol Neurosurg Psychiatry 2023; 95:37-43. [PMID: 37495267 PMCID: PMC10804039 DOI: 10.1136/jnnp-2023-331799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 07/12/2023] [Indexed: 07/28/2023]
Abstract
BACKGROUND Spinal cord (SC) lesions have been associated with unfavourable clinical outcomes in multiple sclerosis (MS). However, the relation of whole SC lesion number (SCLN) and volume (SCLV) to the future occurrence and type of confirmed disability accumulation (CDA) remains largely unexplored. METHODS In this monocentric retrospective study, SC lesions were manually delineated. Inclusion criteria were: age between 18 and 60 years, relapsing-remitting MS, disease duration under 2 years and clinical follow-up of 5 years. The first CDA event after baseline, determined by a sustained increase in the Expanded Disability Status Scale over 6 months, was classified as either progression independent of relapse activity (PIRA) or relapse-associated worsening (RAW). SCLN and SCLV were compared between different (sub)groups to assess their prospective value. RESULTS 204 patients were included, 148 of which had at least one SC lesion and 59 experienced CDA. Patients without any SC lesions experienced significantly less CDA (OR 5.8, 95% CI 2.1 to 19.8). SCLN and SCLV were closely correlated (rs=0.91, p<0.001) and were both significantly associated with CDA on follow-up (p<0.001). Subgroup analyses confirmed this association for patients with PIRA on CDA (34 events, p<0.001 for both SC lesion measures) but not for RAW (25 events, p=0.077 and p=0.22). CONCLUSION Patients without any SC lesions are notably less likely to experience CDA. Both the number and volume of SC lesions on MRI are associated with future accumulation of disability largely independent of relapses.
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Affiliation(s)
- Markus Lauerer
- Department of Neurology, School of Medicine, Technical University, Munich, Germany
- TUM-Neuroimaging Center, School of Medicine, Technical University, Munich, Germany
| | - Julian McGinnis
- Department of Neurology, School of Medicine, Technical University, Munich, Germany
- Institute for AI in Medicine, Technical University, Munich, Germany
| | - Matthias Bussas
- Department of Neurology, School of Medicine, Technical University, Munich, Germany
- TUM-Neuroimaging Center, School of Medicine, Technical University, Munich, Germany
| | - Malek El Husseini
- Department of Neuroradiology, School of Medicine, Technical University, Munich, Germany
| | - Viola Pongratz
- Department of Neurology, School of Medicine, Technical University, Munich, Germany
- TUM-Neuroimaging Center, School of Medicine, Technical University, Munich, Germany
| | - Christina Engl
- Department of Neurology, School of Medicine, Technical University, Munich, Germany
| | - Alexander Wuschek
- Department of Neurology, School of Medicine, Technical University, Munich, Germany
| | - Achim Berthele
- Department of Neurology, School of Medicine, Technical University, Munich, Germany
| | - Isabelle Riederer
- Department of Neuroradiology, School of Medicine, Technical University, Munich, Germany
| | - Jan S Kirschke
- Department of Neuroradiology, School of Medicine, Technical University, Munich, Germany
| | - Claus Zimmer
- Department of Neuroradiology, School of Medicine, Technical University, Munich, Germany
| | - Bernhard Hemmer
- Department of Neurology, School of Medicine, Technical University, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Mark Mühlau
- Department of Neurology, School of Medicine, Technical University, Munich, Germany
- TUM-Neuroimaging Center, School of Medicine, Technical University, Munich, Germany
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11
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Rogić Vidaković M, Ćurković Katić A, Pavelin S, Bralić A, Mikac U, Šoda J, Jerković A, Mastelić A, Dolić K, Markotić A, Đogaš Z, Režić Mužinić N. Transcranial Magnetic Stimulation Measures, Pyramidal Score on Expanded Disability Status Scale and Magnetic Resonance Imaging of Corticospinal Tract in Multiple Sclerosis. Bioengineering (Basel) 2023; 10:1118. [PMID: 37892848 PMCID: PMC10604490 DOI: 10.3390/bioengineering10101118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 09/20/2023] [Accepted: 09/22/2023] [Indexed: 10/29/2023] Open
Abstract
Probing the cortic ospinal tract integrity by transcranial magnetic stimulation (TMS) could help to understand the neurophysiological correlations of multiple sclerosis (MS) symptoms. Therefore, the study objective was, first, to investigate TMS measures (resting motor threshold-RMT, motor evoked potential (MEP) latency, and amplitude) of corticospinal tract integrity in people with relapsing-remitting MS (pwMS). Then, the study examined the conformity of TMS measures with clinical disease-related (Expanded Disability Status Scale-EDSS) and magnetic resonance imaging (MRI) results (lesion count) in pwMS. The e-field navigated TMS, MRI, and EDSS data were collected in 23 pwMS and compared to non-clinical samples. The results show that pwMS differed from non-clinical samples in MEP latency for upper and lower extremity muscles. Also, pwMS with altered MEP latency (prolonged or absent MEP response) had higher EDSS, general and pyramidal, functional scores than pwMS with normal MEP latency finding. Furthermore, the RMT intensity for lower extremity muscles was predictive of EDSS functional pyramidal scores. TMS/MEP latency findings classified pwMS as the same as EDSS functional pyramidal scores in 70-83% of cases and were similar to the MRI results, corresponding to EDSS functional pyramidal scores in 57-65% of cases. PwMS with altered MEP latency differed from pwMS with normal MEP latency in the total number of lesions in the brain corticospinal and cervical corticospinal tract. The study provides preliminary results on the correspondence of MRI and TMS corticospinal tract evaluation results with EDSS functional pyramidal score results in MS.
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Affiliation(s)
- Maja Rogić Vidaković
- Laboratory for Human and Experimental Neurophysiology, Department of Neuroscience, School of Medicine, University of Split, 21000 Split, Croatia; (A.J.); (Z.Đ.)
| | - Ana Ćurković Katić
- Department of Neurology, University Hospital of Split, 21000 Split, Croatia;
| | - Sanda Pavelin
- Department of Neurology, University Hospital of Split, 21000 Split, Croatia;
| | - Antonia Bralić
- Department of Interventional and Diagnostic Radiology, University Hospital of Split, 21000 Split, Croatia; (A.B.); (K.D.)
| | - Una Mikac
- Department of Psychology, Faculty of Humanities and Social Sciences University of Zagreb, 10000 Zagreb, Croatia;
| | - Joško Šoda
- Signal Processing, Analysis, Advanced Diagnostics Research and Education Laboratory (SPAADREL), Faculty of Maritime Studies, Department for Marine Electrical Engineering and Information Technologies, University of Split, 21000 Split, Croatia;
| | - Ana Jerković
- Laboratory for Human and Experimental Neurophysiology, Department of Neuroscience, School of Medicine, University of Split, 21000 Split, Croatia; (A.J.); (Z.Đ.)
| | - Angela Mastelić
- Department of Medical Chemistry and Biochemistry, School of Medicine, University of Split, 21000 Split, Croatia; (A.M.); (A.M.); (N.R.M.)
| | - Krešimir Dolić
- Department of Interventional and Diagnostic Radiology, University Hospital of Split, 21000 Split, Croatia; (A.B.); (K.D.)
- Department of Radiology, School of Medicine, University of Split, 21000 Split, Croatia
| | - Anita Markotić
- Department of Medical Chemistry and Biochemistry, School of Medicine, University of Split, 21000 Split, Croatia; (A.M.); (A.M.); (N.R.M.)
| | - Zoran Đogaš
- Laboratory for Human and Experimental Neurophysiology, Department of Neuroscience, School of Medicine, University of Split, 21000 Split, Croatia; (A.J.); (Z.Đ.)
| | - Nikolina Režić Mužinić
- Department of Medical Chemistry and Biochemistry, School of Medicine, University of Split, 21000 Split, Croatia; (A.M.); (A.M.); (N.R.M.)
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12
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Meijboom R, York EN, Kampaite A, Harris MA, White N, Valdés Hernández MDC, Thrippleton MJ, MacDougall NJJ, Connick P, Hunt DPJ, Chandran S, Waldman AD. Patterns of brain atrophy in recently-diagnosed relapsing-remitting multiple sclerosis. PLoS One 2023; 18:e0288967. [PMID: 37506096 PMCID: PMC10381059 DOI: 10.1371/journal.pone.0288967] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 07/07/2023] [Indexed: 07/30/2023] Open
Abstract
Recurrent neuroinflammation in relapsing-remitting MS (RRMS) is thought to lead to neurodegeneration, resulting in progressive disability. Repeated magnetic resonance imaging (MRI) of the brain provides non-invasive measures of atrophy over time, a key marker of neurodegeneration. This study investigates regional neurodegeneration of the brain in recently-diagnosed RRMS using volumetry and voxel-based morphometry (VBM). RRMS patients (N = 354) underwent 3T structural MRI <6 months after diagnosis and 1-year follow-up, as part of the Scottish multicentre 'FutureMS' study. MRI data were processed using FreeSurfer to derive volumetrics, and FSL for VBM (grey matter (GM) only), to establish regional patterns of change in GM and normal-appearing white matter (NAWM) over time throughout the brain. Volumetric analyses showed a decrease over time (q<0.05) in bilateral cortical GM and NAWM, cerebellar GM, brainstem, amygdala, basal ganglia, hippocampus, accumbens, thalamus and ventral diencephalon. Additionally, NAWM and GM volume decreased respectively in the following cortical regions, frontal: 14 out of 26 regions and 16/26; temporal: 18/18 and 15/18; parietal: 14/14 and 11/14; occipital: 7/8 and 8/8. Left GM and NAWM asymmetry was observed in the frontal lobe. GM VBM analysis showed three major clusters of decrease over time: 1) temporal and subcortical areas, 2) cerebellum, 3) anterior cingulum and supplementary motor cortex; and four smaller clusters within the occipital lobe. Widespread GM and NAWM atrophy was observed in this large recently-diagnosed RRMS cohort, particularly in the brainstem, cerebellar GM, and subcortical and occipital-temporal regions; indicative of neurodegeneration across tissue types, and in accord with limited previous studies in early disease. Volumetric and VBM results emphasise different features of longitudinal lobar and loco-regional change, however identify consistent atrophy patterns across individuals. Atrophy measures targeted to specific brain regions may provide improved markers of neurodegeneration, and potential future imaging stratifiers and endpoints for clinical decision making and therapeutic trials.
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Affiliation(s)
- Rozanna Meijboom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
| | - Elizabeth N. York
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, United Kingdom
| | - Agniete Kampaite
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
| | - Mathew A. Harris
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Nicole White
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
| | - Maria del C. Valdés Hernández
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
| | - Michael J. Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
| | - N. J. J. MacDougall
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, United Kingdom
| | - Peter Connick
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, United Kingdom
| | - David P. J. Hunt
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Siddharthan Chandran
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, United Kingdom
| | - Adam D. Waldman
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
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13
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Jackson-Tarlton CS, Keegan BM, Fereidan-Esfahani M, Barakat BO, Decker PA, Lucchinetti CF, Eckel-Passow J, Tobin WO. Spinal cord and brain corticospinal tract lesions are associated with motor progression in tumefactive multiple sclerosis. Mult Scler Relat Disord 2023; 73:104614. [PMID: 36948092 DOI: 10.1016/j.msard.2023.104614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 02/24/2023] [Accepted: 03/09/2023] [Indexed: 03/14/2023]
Abstract
BACKGROUND Spinal cord lesions have been associated with progressive disease in individuals with typical relapsing remitting MS (RRMS). OBJECTIVE In the current study, we aimed to determine if progressive disease is associated with spinal cord lesions in those with tumefactive multiple sclerosis (MS). METHODS Retrospective chart review of individuals presenting to Mayo Clinic with tumefactive MS with spinal cord MRIs available (n=159). Clinical data were extracted by chart review. Brain and spinal cord MRIs were reviewed to characterize the tumefactive demyelinating lesion(s) and assess the burden of spinal cord disease. RESULTS A total of 69 (43%) had spinal cord lesions. Progressive demyelinating disease was documented in 13 (8%); the majority (11/13) with secondary progressive disease. The method of progression was myelopathic in 8/13 (62%), cognitive in 3/13 (23%), motor from a supratentorial lesion in 2/13 (16%). EDSS at last follow-up was higher in those with progression than those without (median 6.0 (2.0-10.0) vs. 2.5 (0-10.0), p = < 0.001). Progressive demyelinating disease occurred in a minority. CONCLUSIONS Patients with progression typically experienced progressive motor impairment, and this occurred exclusively in individuals with lesions in the corticospinal tracts of the brain and/or the spinal cord.
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Affiliation(s)
- Caitlin S Jackson-Tarlton
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Division of Neurology, Department of Medicine, Dalhousie University, Halifax, NS, USA
| | - B Mark Keegan
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology, Rochester, MN, USA
| | - Mahboubeh Fereidan-Esfahani
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Division of Neurology, Department of Medicine, Dalhousie University, Halifax, NS, USA; Dell Medical School at the University of Texas at Austin, Austin, TX, USA
| | - Benan O Barakat
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology, Rochester, MN, USA; Department of Neurology, Bon Secours Mercy Health St. Vincent Medical Center, Toledo, OH, USA
| | - Paul A Decker
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester MN, USA
| | - Claudia F Lucchinetti
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology, Rochester, MN, USA
| | | | - W Oliver Tobin
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology, Rochester, MN, USA.
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14
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Longitudinal assessment of cervical spinal cord compartments in multiple sclerosis. Mult Scler Relat Disord 2023; 71:104545. [PMID: 36758461 DOI: 10.1016/j.msard.2023.104545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 01/21/2023] [Accepted: 01/31/2023] [Indexed: 02/05/2023]
Abstract
BACKGROUND Although cervical spinal cord (cSC) area is an established biomarker in MS, there is currently a lack of longitudinal assessments of cSC gray and white matter areas. OBJECTIVE We conducted an explorative analysis of longitudinal changes of cSC gray and white matter areas in MS patients. METHODS 65 MS patients (33 relapsing-remitting; 20 secondary progressive and 12 primary progressive) and 20 healthy controls (HC) received clinical and upper cSC MRI assessments over 1.10±0.28 years. cSC compartments were quantified on MRI using the novel averaged magnetization inversion recovery acquisitions sequence (in-plane resolution=0.67 × 0.67mm2), and in-house developed post-processing methods. Patients were stratified regarding clinical progression. RESULTS Patients with clinical progression showed faster reduction of cSC areas over time at the level of cSC enlargement (approximate vertebral level C4-C5) compared to stable patients (p<0.05). In addition, when compared to the rostral-cSC (approximate vertebral level C2-C3), a preferential reduction of cSC and white matter areas over time at the level of cSC enlargement (p<0.05 and p<0.01, respectively) was demonstrated only in patients with clinical progression, but not in stable MS patients and HC. Compared to HC, MS patients showed comparable changes over time in all cSC compartments. CONCLUSIONS MS patients with clinical disease progression demonstrate subtle signs of a more pronounced tissue loss at the level of cSC enlargement. Future studies should consider larger sample sizes and more extended observation periods.
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15
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Hartmann A, Noro F, Bahia PRV, Fontes-Dantas FL, Andreiuolo RF, Lopes FCR, Pereira VCSR, Coutinho RA, Araujo ADD, Marchiori E, Alves-Leon SV. The clinical-radiological paradox in multiple sclerosis: myth or truth? ARQUIVOS DE NEURO-PSIQUIATRIA 2023; 81:55-61. [PMID: 36918008 PMCID: PMC10014204 DOI: 10.1055/s-0042-1758457] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
BACKGROUND Multiple sclerosis (MS) is an inflammatory, degenerative, demyelinating disease that ranges from benign to rapidly progressive forms. A striking characteristic of the disease is the clinical-radiological paradox. OBJECTIVES The present study was conducted to determine whether, in our cohort, the clinical-radiological paradox exists and whether lesion location is related to clinical disability in patients with MS. METHODS Retrospective data from 95 patients with MS (60 women and 35 men) treated at a single center were examined. One head-and-spine magnetic resonance imaging (MRI) examination from each patient was selected randomly, and two independent observers calculated lesion loads (LLs) on T2/fluid attenuation inversion recovery sequences manually, considering the whole brain and four separate regions (periventricular, juxtacortical, posterior fossa, and spinal cord). The LLs were compared with the degree of disability, measured by the Kurtzke Expanded Disability Status Scale (EDSS), at the time of MRI examination in the whole cohort and in patients with relapsing-remitting (RR), primarily progressive, and secondarily progressive MS. RESULTS High LLs correlated with high EDSS scores in the whole cohort (r = 0.34; p < 0.01) and in the RRMS group (r = 0.27; p = 0.02). The EDSS score correlated with high regional LLs in the posterior fossa (r = 0.31; p = 0.002) and spinal cord (r = 0.35; p = 0.001). CONCLUSIONS Our results indicate that the clinical-radiological paradox is a myth and support the logical connection between lesion location and neurological repercussion.
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Affiliation(s)
- Ana Hartmann
- Universidade Federal do Rio de Janeiro, Departamento de Radiologia, Rio de Janeiro RJ, Brazil
| | - Fabio Noro
- Universidade Federal do Rio de Janeiro, Departamento de Radiologia, Rio de Janeiro RJ, Brazil
| | | | - Fabricia Lima Fontes-Dantas
- Universidade Estadual do Rio de Janeiro, Departamento de Farmacologia e Psicobiologia, Rio de Janeiro RJ, Brazil
| | | | | | | | - Renan Amaral Coutinho
- Universidade Federal do Rio de Janeiro, Departamento de Neurologia, Rio de Janeiro RJ, Brazil
| | - Amanda Dutra de Araujo
- Universidade Federal do Rio de Janeiro, Departamento de Neurologia, Rio de Janeiro RJ, Brazil
| | - Edson Marchiori
- Universidade Federal do Rio de Janeiro, Departamento de Radiologia, Rio de Janeiro RJ, Brazil
| | - Soniza Vieira Alves-Leon
- Universidade Federal do Rio de Janeiro, Departamento de Neurologia, Rio de Janeiro RJ, Brazil.,Universidade Federal do Estado do Rio de Janeiro, Laboratório de Neurociências Translacional. Soniza Vieira Alves-Leon, Rio de Janeiro RJ, Brazil
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16
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Jackson-Tarlton CS, Flanagan EP, Messina SA, Barakat B, Ahmad R, Kantarci OH, Weinshenker BG, Keegan BM. Progressive motor impairment from "critical" demyelinating lesions of the cervicomedullary junction. Mult Scler 2023; 29:74-80. [PMID: 36000479 DOI: 10.1177/13524585221114438] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
BACKGROUND Progressive motor impairment anatomically associated with a "critical" lesion has been described in primary demyelinating disease. Most "critical" lesions occur within the spinal cord. OBJECTIVE To describe the clinical and radiological features of "critical" lesions of the cervicomedullary junction (CMJ). METHODS Observational study on people presenting with a CMJ lesion associated with primary demyelinating disease-related progressive motor impairment. Clinical data were extracted by chart review. Brain and spinal cord magnetic resonance images were reviewed to characterize the CMJ lesion and determine additional demyelination burden. RESULTS Forty-one people were included: 29 (71%) had progression from onset and 12 (29%) had a relapse onset (secondary progressive) course. Most had progressive hemiparesis (21 (51%)) or progressive quadriparesis (15 (37%)) with a median Expanded Disability Status Scale (EDSS) of 5.5 (2.0-8.5) at last follow-up. No "critical" CMJ lesion enhanced; most were bilateral (25 (61%)). Brain magnetic resonance images were otherwise normal in 16 (39%) or with a restricted demyelination burden in 15 (37%). Cervical and thoracic cord MRIs were without additional lesions in 25 (61%) and 22/37 (59%), respectively. CONCLUSION CMJ "critical" lesions can correlate with progressive motor impairment even with few or no additional magnetic resonance imaging (MRI) lesions. Lesion location is an important determinant of progressive motor impairment in demyelinating disease.
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Affiliation(s)
- Caitlin S Jackson-Tarlton
- Multiple Sclerosis and Autoimmune Neurology, Department of Neurology, College of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Eoin P Flanagan
- Multiple Sclerosis and Autoimmune Neurology, Department of Neurology, College of Medicine, Mayo Clinic, Rochester, MN, USA
| | | | - Benan Barakat
- Multiple Sclerosis and Autoimmune Neurology, Department of Neurology, College of Medicine, Mayo Clinic, Rochester, MN, USA/ Department of Neurology, Mercy Health, Toledo, OH, USA
| | - Rowaid Ahmad
- Multiple Sclerosis and Autoimmune Neurology, Department of Neurology, College of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Orhun H Kantarci
- Multiple Sclerosis and Autoimmune Neurology, Department of Neurology, College of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Brian G Weinshenker
- Multiple Sclerosis and Autoimmune Neurology, Department of Neurology, College of Medicine, Mayo Clinic, Rochester, MN, USA/ Department of Neurology, UVA Health, Charlottesville, VA, USA
| | - B Mark Keegan
- Multiple Sclerosis and Autoimmune Neurology, Department of Neurology, College of Medicine, Mayo Clinic, Rochester, MN, USA
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17
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Dallera G, Affinito G, Caliendo D, Petracca M, Carotenuto A, Triassi M, Brescia Morra V, Palladino R, Moccia M. The independent contribution of brain, spinal cord and gadolinium MRI in treatment decision in multiple sclerosis: A population-based retrospective study. Mult Scler Relat Disord 2023; 69:104423. [PMID: 36436395 DOI: 10.1016/j.msard.2022.104423] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 10/29/2022] [Accepted: 11/19/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Spinal cord and gadolinium (Gd)-enhanced magnetic resonance imaging (MRI) can provide additional information to brain MRI to determine prognosis of multiple sclerosis (MS). However, the real-world impact of routine use of brain MRI with spinal cord and/or Gd sequences is unknown. Our aim was to evaluate the effect of brain, spinal cord and Gd MRI on treatment decisions in MS. METHODS In this 2015-2020 population-based study, we performed a retrospective analysis on MS patients resident in the Campania Region (South Italy), with disease modifying treatment (DMT) prescription (n = 6,161). DMTs were classified as platform (dimethyl fumarate, glatiramer acetate, interferon-beta, peg-interferon-beta, teriflunomide), or high-efficacy (alemtuzumab, cladribine, fingolimod, natalizumab, ocrelizumab). We evaluated the association between binary MRI variables and switch from platform to high-efficacy DMT using multivariable logistic regression. RESULTS The likelihood of switch from platform to high-efficacy DMT was 47% higher when including post-Gd acquisitions to brain and/or spinal cord MRI, 59% higher when including spinal cord acquisitions to brain MRI, and 132% higher when including any MRI compared with no MRI (all p < 0.05). The likelihood of switch to high-efficacy DMT decreased over time from treatment start. CONCLUSION Our results show that spinal cord and Gd MRI acquisitions can provide relevant information to influence subsequent treatment decisions, especially in early treatment phases, compared with stand-alone brain MRI.
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Affiliation(s)
- Giulia Dallera
- Department of Primary Care and Public Health, Imperial College London, London, United Kingdom; Department of Public Health, Federico II University of Naples, Naples, Italy
| | - Giuseppina Affinito
- Department of Public Health, Federico II University of Naples, Naples, Italy
| | - Daniele Caliendo
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, via Sergio Pansini 5, Naples 80131, Italy
| | - Maria Petracca
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, via Sergio Pansini 5, Naples 80131, Italy
| | - Antonio Carotenuto
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, via Sergio Pansini 5, Naples 80131, Italy
| | - Maria Triassi
- Department of Public Health, Federico II University of Naples, Naples, Italy
| | - Vincenzo Brescia Morra
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, via Sergio Pansini 5, Naples 80131, Italy
| | - Raffaele Palladino
- Department of Primary Care and Public Health, Imperial College London, London, United Kingdom; Department of Public Health, Federico II University of Naples, Naples, Italy
| | - Marcello Moccia
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, via Sergio Pansini 5, Naples 80131, Italy.
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18
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Tsagkas C, Huck-Horvath A, Cagol A, Haas T, Barakovic M, Amann M, Ruberte E, Melie-Garcia L, Weigel M, Pezold S, Schlaeger R, Kuhle J, Sprenger T, Kappos L, Bieri O, Cattin P, Granziera C, Parmar K. Anterior horn atrophy in the cervical spinal cord: A new biomarker in progressive multiple sclerosis. Mult Scler 2022; 29:702-718. [PMID: 36550626 DOI: 10.1177/13524585221139152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Spinal cord (SC) gray and white matter pathology plays a central role in multiple sclerosis (MS). OBJECTIVE We aimed to investigate the extent, pattern, and clinical relevance of SC gray and white matter atrophy in vivo. METHODS 39 relapsing-remitting patients (RRMS), 40 progressive MS patients (PMS), and 24 healthy controls (HC) were imaged at 3T using the averaged magnetization inversion recovery acquisitions sequence. Total and lesional cervical gray and white matter, and posterior (SCPH) and anterior horn (SCAH) areas were automatically quantified. Clinical assessment included the expanded disability status scale, timed 25-foot walk test, nine-hole peg test, and the 12-item MS walking scale. RESULTS PMS patients had significantly reduced cervical SCAH - but not SCPH - areas compared with HC and RRMS (both p < 0.001). In RRMS and PMS, the cervical SCAH areas increased significantly less in the region of cervical SC enlargement compared with HC (all p < 0.001). This reduction was more pronounced in PMS compared with RRMS (both p < 0.001). In PMS, a lower cervical SCAH area was the most important magnetic resonance imaging (MRI)-variable for higher disability scores. CONCLUSION MS patients show clinically relevant cervical SCAH atrophy, which is more pronounced in PMS and at the level of cervical SC enlargement.
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Affiliation(s)
- Charidimos Tsagkas
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland/Translational Imaging in Neurology (ThINk) Basel, Departments of Head, Spine and Neuromedicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Antal Huck-Horvath
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Alessandro Cagol
- Translational Imaging in Neurology (ThINk) Basel, Departments of Head, Spine and Neuromedicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland/Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Tanja Haas
- Division of Radiological Physics, Department of Radiology, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Muhamed Barakovic
- Translational Imaging in Neurology (ThINk) Basel, Departments of Head, Spine and Neuromedicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland/Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Michael Amann
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland/Department of Biomedical Engineering, University of Basel, Basel, Switzerland; Medical Image Analysis Center AG, Basel, Switzerland
| | - Esther Ruberte
- Translational Imaging in Neurology (ThINk) Basel, Departments of Head, Spine and Neuromedicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland/Medical Image Analysis Center AG, Basel, Switzerland
| | - Lester Melie-Garcia
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland/Translational Imaging in Neurology (ThINk) Basel, Departments of Head, Spine and Neuromedicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Matthias Weigel
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland/Translational Imaging in Neurology (ThINk) Basel, Departments of Head, Spine and Neuromedicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland/Department of Biomedical Engineering, University of Basel, Basel, Switzerland/Division of Radiological Physics, Department of Radiology, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Simon Pezold
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Regina Schlaeger
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland/Translational Imaging in Neurology (ThINk) Basel, Departments of Head, Spine and Neuromedicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Till Sprenger
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland/Department of Neurology, DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland/Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Oliver Bieri
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland/Division of Radiological Physics, Department of Radiology, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Philippe Cattin
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Cristina Granziera
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland/Translational Imaging in Neurology (ThINk) Basel, Departments of Head, Spine and Neuromedicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland; Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Katrin Parmar
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland/Translational Imaging in Neurology (ThINk) Basel, Departments of Head, Spine and Neuromedicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland; Reha Rheinfelden, Rheinfelden, Switzerland
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Combes AJE, 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: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [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.
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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.
| | - 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
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20
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Motor Behavioral Deficits in the Cuprizone Model: Validity of the Rotarod Test Paradigm. Int J Mol Sci 2022; 23:ijms231911342. [PMID: 36232643 PMCID: PMC9570024 DOI: 10.3390/ijms231911342] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 09/19/2022] [Accepted: 09/22/2022] [Indexed: 11/17/2022] Open
Abstract
Multiple Sclerosis (MS) is a neuroinflammatory disorder, which is histopathologically characterized by multifocal inflammatory demyelinating lesions affecting both the central nervous system’s white and grey matter. Especially during the progressive phases of the disease, immunomodulatory treatment strategies lose their effectiveness. To develop novel progressive MS treatment options, pre-clinical animal models are indispensable. Among the various different models, the cuprizone de- and remyelination model is frequently used. While most studies determine tissue damage and repair at the histological and ultrastructural level, functional readouts are less commonly applied. Among the various overt functional deficits, gait and coordination abnormalities are commonly observed in MS patients. Motor behavior is mediated by a complex neural network that originates in the cortex and terminates in the skeletal muscles. Several methods exist to determine gait abnormalities in small rodents, including the rotarod testing paradigm. In this review article, we provide an overview of the validity and characteristics of the rotarod test in cuprizone-intoxicated mice.
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Rehabilitation on a treadmill induces plastic changes in the dendritic spines of spinal motoneurons associated with improved execution after a pharmacological injury to the motor cortex in rats. J Chem Neuroanat 2022; 125:102159. [PMID: 36087877 DOI: 10.1016/j.jchemneu.2022.102159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 09/01/2022] [Accepted: 09/02/2022] [Indexed: 11/22/2022]
Abstract
Lesions to the corticospinal tract result in several neurological symptoms and several rehabilitation protocols have proven useful in attempts to direct underlying plastic phenomena. However, the effects that such protocols may exert on the dendritic spines of motoneurons to enhance accuracy during rehabilitation are unknown. Thirty three female Sprague-Dawley adult rats were injected stereotaxically at the primary motor cerebral cortex (Fr1) with saline (CTL), or kainic acid (INJ), or kainic acid and further rehabilitation on a treadmill 16 days after lesion (INJ+RB). Motor performance was evaluated with the the Basso, Beatie and Bresnahan (BBB) locomotion scale and in the Rotarod. Spine density was quantified in a primary dendrite of motoneurons in Lamina IX in the ventral horn of the thoracolumbar spinal cord as well as spine morphology. AMPA, BDNF, PSD-95 and synaptophysin expression was evaluated by Western blot. INJ+RB group showed higher scores in motor performance. Animals from the INJ+RB group showed more thin, mushroom, stubby and wide spines than the CTL group, while the content of AMPA, BDNF, PSD-95 and Synaptophysin was not different between the groups INJ+RB and CTL. AMPA and synaptophysin content was greater in INJ group than in CTL and INJ+RB groups. The increase in the proportion of each type of spine observed in INJ+RB group suggest spinogenesis and a greater capability to integrate the afferent information to motoneurons under relatively stable molecular conditions at the synaptic level.
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22
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Madsen MAJ, Wiggermann V, Marques MFM, Lundell H, Cerri S, Puonti O, Blinkenberg M, Christensen JR, Sellebjerg F, Siebner HR. Linking lesions in sensorimotor cortex to contralateral hand function in multiple sclerosis: a 7 T MRI study. Brain 2022; 145:3522-3535. [PMID: 35653498 PMCID: PMC9586550 DOI: 10.1093/brain/awac203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 05/17/2022] [Accepted: 05/20/2022] [Indexed: 11/14/2022] Open
Abstract
Abstract
Cortical lesions constitute a key manifestation of multiple sclerosis and contribute to clinical disability and cognitive impairment. Yet it is unknown whether local cortical lesions and cortical lesion subtypes contribute to domain-specific impairments attributable to the function of the lesioned cortex.
In this cross-sectional study, we assessed how cortical lesions in the primary sensorimotor hand area (SM1-HAND) relate to corticomotor physiology and sensorimotor function of the contralateral hand. 50 relapse-free patients with relapsing-remitting or secondary-progressive multiple sclerosis and 28 healthy age- and sex-matched participants underwent whole-brain 7 T MRI to map cortical lesions. Brain scans were also used to estimate normalized brain volume, pericentral cortical thickness, white matter lesion fraction of the corticospinal tract, infratentorial lesion volume and the cross-sectional area of the upper cervical spinal cord. We tested sensorimotor hand function and calculated a motor and sensory composite score for each hand. In 37 patients and 20 healthy controls, we measured maximal motor evoked potential (MEP) amplitude, resting motor threshold and corticomotor conduction time with transcranial magnetic stimulation (TMS) and the N20 latency from somatosensory evoked potentials (SSEPs).
Patients showed at least one cortical lesion in the SM1-HAND in 47 of 100 hemispheres. The presence of a lesion was associated with worse contralateral sensory (P = 0.014) and motor (P = 0.009) composite scores. TMS of a lesion-positive SM1-HAND revealed a decreased maximal MEP amplitude (P < 0.001) and delayed corticomotor conduction (P = 0.002) relative to a lesion-negative SM1-HAND. Stepwise mixed linear regressions showed that the presence of an SM1-HAND lesion, higher white-matter lesion fraction of the corticospinal tract, reduced spinal cord cross-sectional area and higher infratentorial lesion volume were associated with reduced contralateral motor hand function. Cortical lesions in SM1-HAND, spinal cord cross-sectional area and normalized brain volume were also associated with smaller maximal MEP amplitude and longer corticomotor conduction times. The effect of cortical lesions on sensory function was no longer significant when controlling for MRI-based covariates. Lastly, we found that intracortical and subpial lesions had the largest effect on reduced motor hand function, intracortical lesions on reduced MEP amplitude and leukocortical lesions on delayed corticomotor conduction.
Together, this comprehensive multi-level assessment of sensorimotor brain damage shows that the presence of a cortical lesion in SM1-HAND is associated with impaired corticomotor function of the hand, after accounting for damage at the subcortical level. The results also provide preliminary evidence that cortical lesion types may affect the various facets of corticomotor function differentially.
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Affiliation(s)
- Mads A. J. Madsen
- Copenhagen University Hospital - Amager & Hvidovre Danish Research Centre for Magnetic Resonance, , 2650 Hvidovre, Denmark
| | - Vanessa Wiggermann
- Copenhagen University Hospital - Amager & Hvidovre Danish Research Centre for Magnetic Resonance, , 2650 Hvidovre, Denmark
| | - Marta F. M. Marques
- Copenhagen University Hospital - Amager & Hvidovre Danish Research Centre for Magnetic Resonance, , 2650 Hvidovre, Denmark
| | - Henrik Lundell
- Copenhagen University Hospital - Amager & Hvidovre Danish Research Centre for Magnetic Resonance, , 2650 Hvidovre, Denmark
| | - Stefano Cerri
- Copenhagen University Hospital - Amager & Hvidovre Danish Research Centre for Magnetic Resonance, , 2650 Hvidovre, Denmark
- Technical University of Denmark Department of Health Technology, , 2800 Kgs. Lyngby, Denmark
| | - Oula Puonti
- Copenhagen University Hospital - Amager & Hvidovre Danish Research Centre for Magnetic Resonance, , 2650 Hvidovre, Denmark
| | - Morten Blinkenberg
- Copenhagen University Hospital – Rigshospitalet Danish Multiple Sclerosis Center, Department of Neurology, , 2600 Glostrup, Denmark
| | - Jeppe Romme Christensen
- Copenhagen University Hospital – Rigshospitalet Danish Multiple Sclerosis Center, Department of Neurology, , 2600 Glostrup, Denmark
| | - Finn Sellebjerg
- Copenhagen University Hospital – Rigshospitalet Danish Multiple Sclerosis Center, Department of Neurology, , 2600 Glostrup, Denmark
- University of Copenhagen Department of Clinical Medicine, , 2200 Copenhagen, Denmark
| | - Hartwig R. Siebner
- Copenhagen University Hospital - Amager & Hvidovre Danish Research Centre for Magnetic Resonance, , 2650 Hvidovre, Denmark
- Copenhagen University Hospital - Bispebjerg & Frederiksberg Department of Neurology, , 2400 Copenhagen, Denmark
- University of Copenhagen Department of Clinical Medicine, , 2200 Copenhagen, Denmark
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Bussas M, El Husseini M, Harabacz L, Pineker V, Grahl S, Pongratz V, Berthele A, Riederer I, Zimmer C, Hemmer B, Kirschke JS, Mühlau M. Multiple sclerosis lesions and atrophy in the spinal cord: Distribution across vertebral levels and correlation with disability. Neuroimage Clin 2022; 34:103006. [PMID: 35468568 PMCID: PMC9059154 DOI: 10.1016/j.nicl.2022.103006] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 04/09/2022] [Accepted: 04/11/2022] [Indexed: 11/13/2022]
Abstract
BACKGROUND The vast majority of magnetic resonance imaging (MRI) studies on multiple sclerosis (MS) covered the spinal cord (SC), if at all, incompletely. OBJECTIVE To assess SC involvement in MS, as detectable by whole SC MRI, with regard to distribution across vertebral levels and relation to clinical phenotypes and disability. METHODS We investigated SC MRI with sagittal and axial coverage. Analyzed were brain and SC MRI scans of 17 healthy controls (HC) and of 370 patients with either clinically isolated syndrome (CIS, 27), relapsing remitting MS (RRMS, 303) or progressive MS (PMS, 40). Across vertebral levels, cross-sectional areas were semiautomatically segmented, and lesions manually delineated. RESULTS The frequency of SC lesions was highest at the level C3-4. The volume of SC lesions increased from CIS to RRMS, and from RRMS to PMS whereas lesion distribution across SC levels did not differ. SC atrophy was demonstrated in RRMS and, to a higher degree, in PMS; apart from an accentuation at the level C3-4, it was evenly distributed across SC levels. SC lesions and atrophy volume were not correlated with each other and were independently associated with disability. CONCLUSION SC lesions and atrophy already exist at the stage of RRMS in the whole SC with an accentuation in the cervical enlargement; SC lesions and atrophy are more pronounced in the stage of PMS. Both contribute to the clinical picture but are largely independent.
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Affiliation(s)
- Matthias Bussas
- Dept. of Neurology, School of Medicine, Technical University of Munich, Munich, Germany; TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Malek El Husseini
- Dept. of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Laura Harabacz
- Dept. of Neurology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Viktor Pineker
- Dept. of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Sophia Grahl
- Dept. of Neurology, School of Medicine, Technical University of Munich, Munich, Germany; TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Viola Pongratz
- Dept. of Neurology, School of Medicine, Technical University of Munich, Munich, Germany; TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Achim Berthele
- Dept. of Neurology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Isabelle Riederer
- Dept. of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Claus Zimmer
- Dept. of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Bernhard Hemmer
- Dept. of Neurology, School of Medicine, Technical University of Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Jan S Kirschke
- Dept. of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Mark Mühlau
- Dept. of Neurology, School of Medicine, Technical University of Munich, Munich, Germany; TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany.
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Upper cervical cord atrophy is independent of cervical cord lesion volume in early multiple sclerosis: A two-year longitudinal study. Mult Scler Relat Disord 2022; 60:103713. [PMID: 35272146 DOI: 10.1016/j.msard.2022.103713] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 02/10/2022] [Accepted: 02/24/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND Upper cervical cord atrophy and lesions have been shown to be associated with disease and disability progression already in early relapsing-remitting multiple sclerosis (RRMS). However, their longitudinal relationship remains unclear. OBJECTIVE To investigate the cross-sectional and longitudinal relation between focal T2 cervical cord lesion volume (CCLV) and regional and global mean upper cervical cord area (UCCA), and their relations with disability. METHODS Over a two-year interval, subjects with RRMS (n = 36) and healthy controls (HC, n = 16) underwent annual clinical and MRI examinations. UCCA and CCLV were obtained from C1 through C4 level. Linear mixed model analysis was performed to investigate the relation between UCCA, CCLV, and disability over time. RESULTS UCCA at baseline was significantly lower in RRMS subjects compared to HCs (p = 0.003), but did not decrease faster over time (p ≥ 0.144). UCCA and CCLV were independent of each other at any of the time points or cervical levels, and over time. Lower baseline UCCA, but not CCLV, was related to worsening of both upper and lower extremities function over time. CONCLUSION UCCA and CCLV are independent from each other, both cross-sectionally and longitudinally, in early MS. Lower UCCA, but not CCLV, was related to increasing disability over time.
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Song Z, Krishnan A, Gaetano L, Tustison NJ, Clayton D, de Crespigny A, Bengtsson T, Jia X, Carano RAD. Deformation-based morphometry identifies deep brain structures protected by ocrelizumab. Neuroimage Clin 2022; 34:102959. [PMID: 35189455 PMCID: PMC8861820 DOI: 10.1016/j.nicl.2022.102959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 02/02/2022] [Accepted: 02/05/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND Despite advancements in treatments for multiple sclerosis, insidious disease progression remains an area of unmet medical need, for which atrophy-based biomarkers may help better characterize the progressive biology. METHODS We developed and applied a method of longitudinal deformation-based morphometry to provide voxel-level assessments of brain volume changes and identified brain regions that were significantly impacted by disease-modifying therapy. RESULTS Using brain MRI data from two identically designed pivotal trials of relapsing multiple sclerosis (total N = 1483), we identified multiple deep brain regions, including the thalamus and brainstem, where volume loss over time was reduced by ocrelizumab (p < 0.05), a humanized anti-CD20 + monoclonal antibody approved for the treatment of multiple sclerosis. Additionally, identified brainstem shrinkage, as well as brain ventricle expansion, was associated with a greater risk for confirmed disability progression (p < 0.05). CONCLUSIONS The identification of deep brain structures has a strong implication for developing new biomarkers of brain atrophy reduction to advance drug development for multiple sclerosis, which has an increasing focus on targeting the progressive biology.
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Affiliation(s)
- Zhuang Song
- Personalized Healthcare Imaging, Genentech, Inc., South San Francisco, CA 94080, USA.
| | - Anithapriya Krishnan
- Personalized Healthcare Imaging, Genentech, Inc., South San Francisco, CA 94080, USA
| | - Laura Gaetano
- Product Development Medical Affair, F. Hoffmann-La Roche Ltd, CH-4070 Basel, Switzerland
| | - Nicholas J Tustison
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA 22904, USA
| | - David Clayton
- Clinical Imaging Group, Genentech, Inc., South San Francisco, CA 94080, USA
| | - Alex de Crespigny
- Clinical Imaging Group, Genentech, Inc., South San Francisco, CA 94080, USA
| | - Thomas Bengtsson
- Personalized Healthcare Imaging, Genentech, Inc., South San Francisco, CA 94080, USA
| | - Xiaoming Jia
- Biomarker Development, Genentech, Inc., South San Francisco, CA 94080, USA
| | - Richard A D Carano
- Personalized Healthcare Imaging, Genentech, Inc., South San Francisco, CA 94080, USA
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26
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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]
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Clarke MA, Archer D, Yoon K, Oguz I, Smith SA, Xu J, Cutter G, Bagnato F. White matter tracts that overlap with the thalamus and the putamen are protected against multiple sclerosis pathology. Mult Scler Relat Disord 2022; 57:103430. [PMID: 34922252 PMCID: PMC10703593 DOI: 10.1016/j.msard.2021.103430] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 10/12/2021] [Accepted: 11/27/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND The thalamus and the putamen are highly connected hubs implicated in multiple sclerosis (MS) pathology. It remains unclear if white matter (WM) tracts, which pass through them, have a different susceptibility to MS pathology, and if so, if their impact on disability predominates over that exerted by disease in other WM tracts. We hypothesized that WM tracts connected to and passing through these hubs (subsequently termed hub+ tracts) would be more susceptible to MS-related pathology than tracts that do not pass through them (hub- tracts) due to retrograde and anterograde distant degeneration. Thus, we compared the lesion load and neurite orientation dispersion and density imaging (NODDI) derived metrics between hub+ and hub- tracts and assessed the relationship between these MRI metrics and those of physical impairment. METHODS Eighteen patients (mean age of 45.5 years, 12 females) had 3 Tesla MRI consisting of T1-weighted and T2-weighted Fluid Attenuated Inversion Recovery (FLAIR), and NODDI from which the orientation dispersion index (ODI), neurite density index (NDI), and isotropic volume fraction (IVF) were derived. Forty-nine WM tracts, i.e., 12 hub+ and 37 hub- tracts, were segmented out. Exploratory analyses of the differences in lesion burden, whole tract and normal appearing WM (NAWM) NODDI metrics were carried out between the two types of tracts using a Mann-Whitney U test. Correlations with physical impairment, quantified using the expanded disability status scale (EDSS) and timed 25-foot walk (T25FW) test were assessed using Spearman correlation analyses. RESULTS Hub- tracts had larger T1- (p<0.001) and T2-lesion (p<0.001) volumes; lower ODI (p<0.001), NDI (p<0.001) and higher IVF (p = 0.020) in comparison to hub+ tracts. Measures of tissue injury in hub+ tracts correlated with those of clinical disability, though less strongly than in hub- tracts. CONCLUSIONS Contrary to our hypothesis, our exploratory pilot study results suggest that WM tracts that overlap with the thalamus and the putamen have a lower degree of lesional and non-lesional tissue injury, suggesting a protective role of the hubs against MS pathology or a higher degree of vulnerability of those not passing through hub stations. We also show a weaker association between disability impairment and hub+ pathology, compared to that in hub- tracts. Our findings point to a potential role of disease location in relation to hubs as guidance for treatment personalization in MS.
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Affiliation(s)
- M A Clarke
- Neuroimaging Unit, Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville TN, USA.
| | - D Archer
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, USA
| | - K Yoon
- School of Medicine, Vanderbilt University, Nashville TN, USA
| | - I Oguz
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville TN, USA
| | - S A Smith
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville TN, USA; Vanderbilt University Institute of Imaging Sciences, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville TN, USA
| | - J Xu
- Vanderbilt University Institute of Imaging Sciences, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville TN, USA
| | - G Cutter
- Department of Biostatistics, University of Alabama, Birmingham, AL, USA
| | - F Bagnato
- Neuroimaging Unit, Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville TN, USA; Department of Neurology, VA Medical Center, TN Valley Healthcare System (TVHS) Nashville TN, USA
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González LM, Ospina LN, Sperling LE, Chaparro O, Cucarián JD. Therapeutic Effects of Physical Exercise and the Mesenchymal Stem Cell Secretome by Modulating Neuroinflammatory Response in Multiple Sclerosis. Curr Stem Cell Res Ther 2021; 17:621-632. [PMID: 34886779 DOI: 10.2174/1574888x16666211209155333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 09/14/2021] [Accepted: 10/22/2021] [Indexed: 11/22/2022]
Abstract
Multiple sclerosis (MS) is a neurodegenerative, demyelinating, and chronic inflammatory disease characterized by central nervous system (CNS) lesions that lead to high levels of disability and severe physical and cognitive disturbances. Conventional therapies are not enough to control the neuroinflammatory process in MS and are not able to inhibit ongoing damage to the CNS. Thus, the secretome of mesenchymal stem cells (MSC-S) has been postulated as a potential therapy that could mitigate symptoms and disease progression. We considered that its combination with physical exercise (EX) could induce superior effects and increase the MSC-S effectiveness in this condition. Recent studies have revealed that both EX and MSC-S share similar mechanisms of action that mitigate auto-reactive T cell infiltration, regulate the local inflammatory response, modulate the proinflammatory profile of glial cells, and reduce neuronal damage. Clinical and experimental studies have reported that these treatments in an isolated way also improve myelination, regeneration, promote the release of neurotrophic factors, and increase the recruitment of endogenous stem cells. Together, these effects reduce disease progression and improve patient functionality. Despite these results, the combination of these methods has not yet been studied in MS. In this review, we focus on molecular elements and cellular responses induced by these treatments in a separate way, showing their beneficial effects in the control of symptoms and disease progression in MS, as well as indicating their contribution in clinical fields. In addition, we propose the combined use of EX and MSC-S as a strategy to boost their reparative and immunomodulatory effects in this condition, combining their benefits on synaptogenesis, neurogenesis, remyelination, and neuroinflammatory response. The findings here reported are based on the scientific evidence and our professional experience that will bring significant progress to regenerative medicine to deal with this condition.
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Affiliation(s)
- Lina María González
- Physiotherapy Program, School of Medicine and Health Sciences, Universidad del Rosario AK 24 #63c-69, Bogotá. Colombia
| | - Laura Natalia Ospina
- Physiotherapy Program, School of Medicine and Health Sciences, Universidad del Rosario AK 24 #63c-69, Bogotá. Colombia
| | - Laura Elena Sperling
- Faculty of Pharmacy & Fundamental Health Science Institute, Federal University of Rio Grande do Sul Rua Ramiro Barcelos, 2600-Prédio Anexo - Floresta, Porto Alegre. Brazil
| | - Orlando Chaparro
- Physiology Department, Faculty of Medicine, Universidad Nacional de Colombia Ak 30 #45-03, Bogotá. Colombia
| | - Jaison Daniel Cucarián
- Physiotherapy Program, School of Medicine and Health Sciences, Universidad del Rosario AK 24 #63c-69, Bogotá. Colombia
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Tur C, Grussu F, De Angelis F, Prados F, Kanber B, Calvi A, Eshaghi A, Charalambous T, Cortese R, Chard DT, Chataway J, Thompson AJ, Ciccarelli O, Gandini Wheeler-Kingshott CAM. Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique. Neuroimage Clin 2021; 33:102904. [PMID: 34875458 PMCID: PMC8654632 DOI: 10.1016/j.nicl.2021.102904] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 11/20/2021] [Accepted: 11/29/2021] [Indexed: 11/20/2022]
Abstract
Predicting disability in progressive multiple sclerosis (MS) is extremely challenging. Although there is some evidence that the spatial distribution of white matter (WM) lesions may play a role in disability accumulation, the lack of well-established quantitative metrics that characterise these aspects of MS pathology makes it difficult to assess their relevance for clinical progression. This study introduces a novel approach, called SPACE-MS, to quantitatively characterise spatial distributional features of brain MS lesions, so that these can be assessed as predictors of disability accumulation. In SPACE-MS, the covariance matrix of the spatial positions of each patient's lesional voxels is computed and its eigenvalues extracted. These are combined to derive rotationally-invariant metrics known to be common and robust descriptors of ellipsoid shape such as anisotropy, planarity and sphericity. Additionally, SPACE-MS metrics include a neuraxis caudality index, which we defined for the whole-brain lesion mask as well as for the most caudal brain lesion. These indicate how distant from the supplementary motor cortex (along the neuraxis) the whole-brain mask or the most caudal brain lesions are. We applied SPACE-MS to data from 515 patients involved in three studies: the MS-SMART (NCT01910259) and MS-STAT1 (NCT00647348) secondary progressive MS trials, and an observational study of primary and secondary progressive MS. Patients were assessed on motor and cognitive disability scales and underwent structural brain MRI (1.5/3.0 T), at baseline and after 2 years. The MRI protocol included 3DT1-weighted (1x1x1mm3) and 2DT2-weighted (1x1x3mm3) anatomical imaging. WM lesions were semiautomatically segmented on the T2-weighted scans, deriving whole-brain lesion masks. After co-registering the masks to the T1 images, SPACE-MS metrics were calculated and analysed through a series of multiple linear regression models, which were built to assess the ability of spatial distributional metrics to explain concurrent and future disability after adjusting for confounders. Patients whose WM lesions laid more caudally along the neuraxis or were more isotropically distributed in the brain (i.e. with whole-brain lesion masks displaying a high sphericity index) at baseline had greater motor and/or cognitive disability at baseline and over time, independently of brain lesion load and atrophy measures. In conclusion, here we introduced the SPACE-MS approach, which we showed is able to capture clinically relevant spatial distributional features of MS lesions independently of the sheer amount of lesions and brain tissue loss. Location of lesions in lower parts of the brain, where neurite density is particularly high, such as in the cerebellum and brainstem, and greater spatial spreading of lesions (i.e. more isotropic whole-brain lesion masks), possibly reflecting a higher number of WM tracts involved, are associated with clinical deterioration in progressive MS. The usefulness of the SPACE-MS approach, here demonstrated in MS, may be explored in other conditions also characterised by the presence of brain WM lesions.
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Affiliation(s)
- Carmen Tur
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK; MS Centre of Catalonia (Cemcat), Vall d'Hebron Institute of Research, Vall d'Hebron Barcelona Hospital Campus, Spain.
| | - Francesco Grussu
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK; Radiomics Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Floriana De Angelis
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK
| | - Ferran Prados
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK; Centre for Medical Image Computing, Medical Physics and Biomedical Engineering Department, University College London, UK; e-Health Center, Universitat Oberta de Catalunya, Spain
| | - Baris Kanber
- Centre for Medical Image Computing, Medical Physics and Biomedical Engineering Department, University College London, UK
| | - Alberto Calvi
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK
| | - Arman Eshaghi
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK; Radiomics Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Thalis Charalambous
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK
| | - Rosa Cortese
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK
| | - Declan T Chard
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK; National Institute for Health Research University College London Hospitals Biomedical Research Centre, UK
| | - Jeremy Chataway
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK; National Institute for Health Research University College London Hospitals Biomedical Research Centre, UK
| | - Alan J Thompson
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK; National Institute for Health Research University College London Hospitals Biomedical Research Centre, UK
| | - Olga Ciccarelli
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK; National Institute for Health Research University College London Hospitals Biomedical Research Centre, UK
| | - Claudia A M Gandini Wheeler-Kingshott
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK; Department of Brain and Behavioural Sciences, University of Pavia, Italy; Brain Connectivity Centre, IRCCS Mondino Foundation, Pavia, Italy.
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Prosperini L, Ruggieri S, Haggiag S, Tortorella C, Pozzilli C, Gasperini C. Prognostic Accuracy of NEDA-3 in Long-term Outcomes of Multiple Sclerosis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2021; 8:8/6/e1059. [PMID: 34373345 PMCID: PMC8353667 DOI: 10.1212/nxi.0000000000001059] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 07/06/2021] [Indexed: 01/02/2023]
Abstract
Background and Objectives To estimate the proportions of patients with relapsing-remitting multiple sclerosis who despite achieving the no evidence of disease activity-3 (NEDA-3) status in the first 2 treatment years experienced relapse-associated worsening (RAW) or progression independent from relapse activity (PIRA) in the following years. Methods We selected patients with NEDA-3—defined as no relapse, no disability worsening, and no MRI activity—in the first 2 years of either glatiramer acetate or interferon beta as initial treatment. We estimated the long-term probability of subsequent RAW and PIRA (considered as 2 contrasting outcomes) by cumulative incidence functions. Competing risk regressions were used to identify the baseline (i.e., at treatment start) predictors of RAW and PIRA. Results Of 687 patients, 224 (32.6%) had NEDA-3 in the first 2 treatment years. After a median follow-up time of 12 years from treatment start, 58 patients (26%) experienced disability accrual: 31 (14%) had RAW and 27 (12%) had PIRA. RAW was predicted by the presence of >9 T2 lesions (subdistribution hazard ratio [SHR] = 3.92, p = 0.012) and contrast-enhancing lesions (SHR = 2.38, p = 0.047) on baseline MRI scan and either temporary or permanent discontinuation of the initial treatment (SHR = 1.11, p = 0.015). PIRA was predicted by advancing age (SHR = 1.05, p = 0.036 for each year increase) and presence of ≥1 spinal cord lesion on baseline MRI scan (SHR = 4.08, p = 0.016). Discussion The adoption of NEDA-3 criteria led to prognostic misclassification in 1 of 4 patients. Different risk factors were associated with RAW and PIRA, suggesting alternative mechanisms for disability accrual. Classification of Evidence This study provides Class II evidence that in patients with RRMS who attained NEDA-3 status, subsequent RAW was associated with baseline MRI activity and discontinuation of treatment and PIRA was associated with age and the presence of baseline spinal cord lesions.
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Affiliation(s)
- Luca Prosperini
- From the Department of Neurosciences (L.P., S.H., C.T., C.G.), S. Camillo-Forlanini Hospital; Department of Human Neurosciences (S.R., C.P.), Sapienza University; and Neuroimmunology Unit (S.R.), Santa Lucia Foundation, Rome, Italy.
| | - Serena Ruggieri
- From the Department of Neurosciences (L.P., S.H., C.T., C.G.), S. Camillo-Forlanini Hospital; Department of Human Neurosciences (S.R., C.P.), Sapienza University; and Neuroimmunology Unit (S.R.), Santa Lucia Foundation, Rome, Italy
| | - Shalom Haggiag
- From the Department of Neurosciences (L.P., S.H., C.T., C.G.), S. Camillo-Forlanini Hospital; Department of Human Neurosciences (S.R., C.P.), Sapienza University; and Neuroimmunology Unit (S.R.), Santa Lucia Foundation, Rome, Italy
| | - Carla Tortorella
- From the Department of Neurosciences (L.P., S.H., C.T., C.G.), S. Camillo-Forlanini Hospital; Department of Human Neurosciences (S.R., C.P.), Sapienza University; and Neuroimmunology Unit (S.R.), Santa Lucia Foundation, Rome, Italy
| | - Carlo Pozzilli
- From the Department of Neurosciences (L.P., S.H., C.T., C.G.), S. Camillo-Forlanini Hospital; Department of Human Neurosciences (S.R., C.P.), Sapienza University; and Neuroimmunology Unit (S.R.), Santa Lucia Foundation, Rome, Italy
| | - Claudio Gasperini
- From the Department of Neurosciences (L.P., S.H., C.T., C.G.), S. Camillo-Forlanini Hospital; Department of Human Neurosciences (S.R., C.P.), Sapienza University; and Neuroimmunology Unit (S.R.), Santa Lucia Foundation, Rome, Italy
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Nguyen TH, Vaussy A, Le Gaudu V, Aboab J, Espinoza S, Curajos I, Heron E, Habas C. The brainstem in multiple sclerosis: MR identification of tracts and nuclei damage. Insights Imaging 2021; 12:151. [PMID: 34674050 PMCID: PMC8531176 DOI: 10.1186/s13244-021-01101-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 08/23/2021] [Indexed: 01/04/2023] Open
Abstract
Objective To evaluate the 3D Fast Gray Acquisition T1 Inversion Recovery (FGATIR) sequence for MRI identification of brainstem tracts and nuclei damage in multiple sclerosis (MS) patients. Methods From april to december 2020, 10 healthy volunteers and 50 patients with remitted-relapsing MS (58% female, mean age 36) underwent MR imaging in the Neuro-imaging department of the C.H.N.O. des Quinze-Vingts, Paris, France. MRI was achieved on a 3 T system (MAGNETOM Skyra) using a 64-channel coil. 3D FGATIR sequence was first performed on healthy volunteers to classify macroscopically identifiable brainstem structures. Then, FGATIR was assessed in MS patients to locate brainstem lesions detected with Proton Density/T2w (PD/T2w) sequence. Results In healthy volunteers, FGATIR allowed a precise visualization of tracts and nuclei according to their myelin density. Including FGATIR in MR follow-up of MS patients helped to identify structures frequently involved in the inflammatory process. Most damaged tracts were the superior cerebellar peduncle and the transverse fibers of the pons. Most frequently affected nuclei were the vestibular nuclei, the trigeminal tract, the facial nerve and the solitary tract. Conclusion Combination of FGATIR and PD/T2w sequences opened prospects to define MS elective injury in brainstem tracts and nuclei, with particular lesion features suggesting variations of the inflammatory process within brainstem structures. In a further study, hypersignal quantification and microstructure information should be evaluated using relaxometry and diffusion tractography. Technical improvements would bring novel parameters to train an artificial neural network for accurate automated labeling of MS lesions within the brainstem.
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Affiliation(s)
- Thien Huong Nguyen
- Department of Neuro Imaging, C.H.N.O. des Quinze- Vingts, Paris, France.
| | | | - Violette Le Gaudu
- Department of Neuro Imaging, C.H.N.O. des Quinze- Vingts, Paris, France
| | - Jennifer Aboab
- Department of Internal Medicine, C.H.N.O. des Quinze-Vingts, Paris, France
| | - Sophie Espinoza
- Department of Neuro Imaging, C.H.N.O. des Quinze- Vingts, Paris, France
| | - Irina Curajos
- Department of Neuro Imaging, C.H.N.O. des Quinze- Vingts, Paris, France
| | - Emmanuel Heron
- Department of Internal Medicine, C.H.N.O. des Quinze-Vingts, Paris, France
| | - Christophe Habas
- Department of Neuro Imaging, C.H.N.O. des Quinze- Vingts, Paris, France
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Strik M, Cofré Lizama LE, Shanahan CJ, van der Walt A, Boonstra FMC, Glarin R, Kilpatrick TJ, Geurts JJG, Cleary JO, Schoonheim MM, Galea MP, Kolbe SC. Axonal loss in major sensorimotor tracts is associated with impaired motor performance in minimally disabled multiple sclerosis patients. Brain Commun 2021; 3:fcab032. [PMID: 34222866 PMCID: PMC8244644 DOI: 10.1093/braincomms/fcab032] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 12/15/2020] [Accepted: 01/11/2021] [Indexed: 12/13/2022] Open
Abstract
Multiple sclerosis is a neuroinflammatory disease of the CNS that is associated with significant irreversible neuro-axonal loss, leading to permanent disability. There is thus an urgent need for in vivo markers of axonal loss for use in patient monitoring or as end-points for trials of neuroprotective agents. Advanced diffusion MRI can provide markers of diffuse loss of axonal fibre density or atrophy within specific white matter pathways. These markers can be interrogated in specific white matter tracts that underpin important functional domains such as sensorimotor function. This study aimed to evaluate advanced diffusion MRI markers of axonal loss within the major sensorimotor tracts of the brain, and to correlate the degree of axonal loss in these tracts to precise kinematic measures of hand and foot motor control and gait in minimally disabled people with multiple sclerosis. Twenty-eight patients (Expanded Disability Status Scale < 4, and Kurtzke Functional System Scores for pyramidal and cerebellar function ≤ 2) and 18 healthy subjects underwent ultra-high field 7 Tesla diffusion MRI for calculation of fibre-specific measures of axonal loss (fibre density, reflecting diffuse axonal loss and fibre cross-section reflecting tract atrophy) within three tracts: cortico-spinal tract, interhemispheric sensorimotor tract and cerebello-thalamic tracts. A visually guided force-matching task involving either the hand or foot was used to assess visuomotor control, and three-dimensional marker-based video tracking was used to assess gait. Fibre-specific axonal markers for each tract were compared between groups and correlated with visuomotor task performance (force error and lag) and gait parameters (stance, stride length, step width, single and double support) in patients. Patients displayed significant regional loss of fibre cross-section with minimal loss of fibre density in all tracts of interest compared to healthy subjects (family-wise error corrected p-value < 0.05), despite relatively few focal lesions within these tracts. In patients, reduced axonal fibre density and cross-section within the corticospinal tracts and interhemispheric sensorimotor tracts were associated with larger force tracking error and gait impairments (shorter stance, smaller step width and longer double support) (family-wise error corrected p-value < 0.05). In conclusion, significant gait and motor control impairments can be detected in minimally disabled people with multiple sclerosis that correlated with axonal loss in major sensorimotor pathways of the brain. Given that axonal loss is irreversible, the combined use of advanced imaging and kinematic markers could be used to identify patients at risk of more severe motor impairments as they emerge for more aggressive therapeutic interventions.
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Affiliation(s)
- Myrte Strik
- Department of Medicine and Radiology, University of Melbourne, Parkville 3010, Australia
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam 1081 HZ, the Netherlands
| | - L Eduardo Cofré Lizama
- Department of Medicine and Radiology, University of Melbourne, Parkville 3010, Australia
- School of Allied Health, Human Services and Sports, La Trobe University, Victoria 3086, Australia
| | - Camille J Shanahan
- Department of Medicine and Radiology, University of Melbourne, Parkville 3010, Australia
| | - Anneke van der Walt
- Department of Neurosciences, Central Clinical School, Monash University, Melbourne 3004, Australia
| | - Frederique M C Boonstra
- Department of Neurosciences, Central Clinical School, Monash University, Melbourne 3004, Australia
| | - Rebecca Glarin
- Department of Medicine and Radiology, University of Melbourne, Parkville 3010, Australia
| | - Trevor J Kilpatrick
- Florey Institute of Neuroscience and Mental Health, Parkville 3052, Australia
- Florey Department of Neuroscience and Mental Health, University of Melbourne, Parkville 3052, Australia
- Department of Neurology, Royal Melbourne Hospital, Parkville 3050, Australia
| | - Jeroen J G Geurts
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam 1081 HZ, the Netherlands
| | - Jon O Cleary
- Department of Radiology, Guy’s and St. Thomas’ NHS Foundation Trust, London SE1 7EH, UK
| | - Menno M Schoonheim
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam 1081 HZ, the Netherlands
| | - Mary P Galea
- Department of Medicine and Radiology, University of Melbourne, Parkville 3010, Australia
| | - Scott C Kolbe
- Department of Medicine and Radiology, University of Melbourne, Parkville 3010, Australia
- Department of Neurosciences, Central Clinical School, Monash University, Melbourne 3004, Australia
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Strik M, Shanahan CJ, van der Walt A, Boonstra FMC, Glarin R, Galea MP, Kilpatrick TJ, Geurts JJG, Cleary JO, Schoonheim MM, Kolbe SC. Functional correlates of motor control impairments in multiple sclerosis: A 7 Tesla task functional MRI study. Hum Brain Mapp 2021; 42:2569-2582. [PMID: 33666314 PMCID: PMC8090767 DOI: 10.1002/hbm.25389] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 02/10/2021] [Accepted: 02/16/2021] [Indexed: 02/01/2023] Open
Abstract
Upper and lower limb impairments are common in people with multiple sclerosis (pwMS), yet difficult to clinically identify in early stages of disease progression. Tasks involving complex motor control can potentially reveal more subtle deficits in early stages, and can be performed during functional MRI (fMRI) acquisition, to investigate underlying neural mechanisms, providing markers for early motor progression. We investigated brain activation during visually guided force matching of hand or foot in 28 minimally disabled pwMS (Expanded Disability Status Scale (EDSS) < 4 and pyramidal and cerebellar Kurtzke Functional Systems Scores ≤ 2) and 17 healthy controls (HC) using ultra‐high field 7‐Tesla fMRI, allowing us to visualise sensorimotor network activity in high detail. Task activations and performance (tracking lag and error) were compared between groups, and correlations were performed. PwMS showed delayed (+124 s, p = .002) and more erroneous (+0.15 N, p = .001) lower limb tracking, together with lower cerebellar, occipital and superior parietal cortical activation compared to HC. Lower activity within these regions correlated with worse EDSS (p = .034), lower force error (p = .006) and higher lesion load (p < .05). Despite no differences in upper limb task performance, pwMS displayed lower inferior occipital cortical activation. These results demonstrate that ultra‐high field fMRI during complex hand and foot tracking can identify subtle impairments in lower limb movements and upper and lower limb brain activity, and differentiates upper and lower limb impairments in minimally disabled pwMS.
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Affiliation(s)
- Myrte Strik
- Department of Medicine and Radiology, University of Melbourne, Parkville, Australia.,Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Camille J Shanahan
- Department of Medicine and Radiology, University of Melbourne, Parkville, Australia
| | - Anneke van der Walt
- Department of Neurosciences, Central Clinical School, Monash University, Melbourne, Australia
| | - Frederique M C Boonstra
- Department of Neurosciences, Central Clinical School, Monash University, Melbourne, Australia
| | - Rebecca Glarin
- Department of Medicine and Radiology, University of Melbourne, Parkville, Australia
| | - Mary P Galea
- Department of Medicine and Radiology, University of Melbourne, Parkville, Australia
| | - Trevor J Kilpatrick
- Florey Institute of Neuroscience and Mental Health, Parkville, Australia.,Florey Department of Neuroscience and Mental Health, University of Melbourne, Parkville, Australia.,Department of Neurology, Royal Melbourne Hospital, Parkville, Australia
| | - Jeroen J G Geurts
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Jon O Cleary
- Department of Radiology, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - Menno M Schoonheim
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Scott C Kolbe
- Department of Medicine and Radiology, University of Melbourne, Parkville, Australia.,Department of Neurosciences, Central Clinical School, Monash University, Melbourne, Australia
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Berger T, Adamczyk-Sowa M, Csépány T, Fazekas F, Fabjan TH, Horáková D, Ledinek AH, Illes Z, Kobelt G, Jazbec SŠ, Klímová E, Leutmezer F, Rejdak K, Rozsa C, Sellner J, Selmaj K, Štouracˇ P, Szilasiová J, Turcˇáni P, Vachová M, Vanecková M, Vécsei L, Havrdová EK. Factors influencing daily treatment choices in multiple sclerosis: practice guidelines, biomarkers and burden of disease. Ther Adv Neurol Disord 2020; 13:1756286420975223. [PMID: 33335562 PMCID: PMC7724259 DOI: 10.1177/1756286420975223] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 10/23/2020] [Indexed: 12/23/2022] Open
Abstract
At two meetings of a Central European board of multiple sclerosis (MS) experts in
2018 and 2019 factors influencing daily treatment choices in MS, especially
practice guidelines, biomarkers and burden of disease, were discussed. The
heterogeneity of MS and the complexity of the available treatment options call
for informed treatment choices. However, evidence from clinical trials is
generally lacking, particularly regarding sequencing, switches and escalation of
drugs. Also, there is a need to identify patients who require highly efficacious
treatment from the onset of their disease to prevent deterioration. The recently
published European Committee for the Treatment and Research in Multiple
Sclerosis/European Academy of Neurology clinical practice guidelines on
pharmacological management of MS cover aspects such as treatment efficacy,
response criteria, strategies to address suboptimal response and safety concerns
and are based on expert consensus statements. However, the recommendations
constitute an excellent framework that should be adapted to local regulations,
MS center capacities and infrastructure. Further, available and emerging
biomarkers for treatment guidance were discussed. Magnetic resonance imaging
parameters are deemed most reliable at present, even though complex assessment
including clinical evaluation and laboratory parameters besides imaging is
necessary in clinical routine. Neurofilament-light chain levels appear to
represent the current most promising non-imaging biomarker. Other immunological
data, including issues of immunosenescence, will play an increasingly important
role for future treatment algorithms. Cognitive impairment has been recognized
as a major contribution to MS disease burden. Regular evaluation of cognitive
function is recommended in MS patients, although no specific disease-modifying
treatment has been defined to date. Finally, systematic documentation of
real-life data is recognized as a great opportunity to tackle unresolved daily
routine challenges, such as use of sequential therapies, but requires joint
efforts across clinics, governments and pharmaceutical companies.
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Affiliation(s)
- Thomas Berger
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria
| | - Monika Adamczyk-Sowa
- Department of Neurology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Poland
| | - Tünde Csépány
- Department of Neurology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Tanja Hojs Fabjan
- Department of Neurology, University Medical Centre Maribor, Maribor, Slovenia
| | - Dana Horáková
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | | | - Zsolt Illes
- Department of Neurology, University of Southern Denmark, Odense, Denmark
| | | | - Saša Šega Jazbec
- Department of Neurology, University Clinical Centre Ljubljana, Ljubljana, Slovenia
| | - Eleonóra Klímová
- Department of Neurology, University of Prešov and Teaching Hospital of J. A. Reiman, Prešov, Slovakia
| | - Fritz Leutmezer
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Konrad Rejdak
- Department of Neurology, Medical University of Lublin, Lublin, Poland
| | - Csilla Rozsa
- Department of Neurology, Jahn Ferenc Dél-pesti Hospital, Budapest, Hungary
| | - Johann Sellner
- Department of Neurology, Landesklinikum Mistelbach-Gänserndorf, Mistelbach, Austria, and Department of Neurology, Christian Doppler Medical Center, Paracelsus Medical University, Salzburg, Austria
| | - Krzysztof Selmaj
- Department of Neurology, University of Warmia-Mazury, Olsztyn, Poland
| | - Pavel Štouracˇ
- Department of Neurology, Masaryk University, Brno, Czech Republic
| | - Jarmila Szilasiová
- Department of Neurology, P. J. Šafárik University Košice and University Hospital of L. Pasteur Košice, Slovakia
| | - Peter Turcˇáni
- Department of Neurology, Comenius University, Bratislava, Slovakia
| | | | - Manuela Vanecková
- Department of Radiology, MRI Unit, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - László Vécsei
- Department of Neurology and MTA-SZTE Neuroscience Research Group, University of Szeged, Szeged, Hungary
| | - Eva Kubala Havrdová
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
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35
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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: 1.8] [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.
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36
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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: 4] [Impact Index Per Article: 0.8] [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.
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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.
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