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Matusche B, Litvin L, Schneider R, Bellenberg B, Mühlau M, Pongratz V, Berthele A, Groppa S, Muthuraman M, Zipp F, Paul F, Wiendl H, Meuth SG, Sämann P, Weber F, Linker RA, Kümpfel T, Gold R, Lukas C. Early spinal cord pseudoatrophy in interferon-beta-treated multiple sclerosis. Eur J Neurol 2023; 30:453-462. [PMID: 36318271 DOI: 10.1111/ene.15620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 10/26/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Brain pseudoatrophy has been shown to play a pivotal role in the interpretation of brain atrophy measures during the first year of disease-modifying therapy in multiple sclerosis. Whether pseudoatrophy also affects the spinal cord remains unclear. The aim of this study was to analyze the extent of pseudoatrophy in the upper spinal cord during the first 2 years after therapy initiation and compare this to the brain. METHODS A total of 129 patients from a prospective longitudinal multicentric national cohort study for whom magnetic resonance imaging scans at baseline, 12 months, and 24 months were available were selected for brain and spinal cord volume quantification. Annual percentage brain volume and cord area change were calculated using SIENA (Structural Image Evaluation of Normalized Atrophy) and NeuroQLab, respectively. Linear mixed model analyses were performed to compare patients on interferon-beta therapy (n = 84) and untreated patients (n = 45). RESULTS Patients treated with interferon-beta demonstrated accelerated annual percentage brain volume and cervical cord area change in the first year after treatment initiation, whereas atrophy rates stabilized to a similar and not significantly different level compared to untreated patients during the second year. CONCLUSIONS These results suggest that pseudoatrophy occurs not only in the brain, but also in the spinal cord during the first year of interferon-beta treatment.
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Affiliation(s)
- Britta Matusche
- Institute for Neuroradiology, St Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Ludmila Litvin
- Institute for Neuroradiology, St Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Ruth Schneider
- Department of Neurology, St Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Barbara Bellenberg
- Institute for Neuroradiology, St Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Mark Mühlau
- Department of Neurology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Viola Pongratz
- Department of Neurology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Achim Berthele
- Department of Neurology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Sergiu Groppa
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine-Main Neuroscience Network, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Muthuraman Muthuraman
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine-Main Neuroscience Network, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine-Main Neuroscience Network, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Friedemann Paul
- Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Heinz Wiendl
- Department of Neurology, Institute of Translational Neurology, University of Münster, Münster, Germany
| | - Sven G Meuth
- Department of Neurology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | | | - Frank Weber
- Neurological Clinic, Sana Clinic Cham, Cham, Germany
| | - Ralf A Linker
- Department of Neurology, University of Regensburg, Regensburg, Germany
| | - Tania Kümpfel
- Institute of Clinical Neuroimmunology, Biomedical Center and University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Ralf Gold
- Department of Neurology, St Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Carsten Lukas
- Institute for Neuroradiology, St Josef Hospital, Ruhr University Bochum, Bochum, Germany
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Ladopoulos T, Matusche B, Bellenberg B, Heuser F, Gold R, Lukas C, Schneider R. Relaxometry and brain myelin quantification with synthetic MRI in MS subtypes and their associations with spinal cord atrophy. Neuroimage Clin 2022; 36:103166. [PMID: 36081258 PMCID: PMC9463599 DOI: 10.1016/j.nicl.2022.103166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 07/31/2022] [Accepted: 08/22/2022] [Indexed: 01/18/2023]
Abstract
Immune-mediated demyelination and neurodegeneration are pathophysiological hallmarks of Multiple Sclerosis (MS) and main drivers of disease related disability. The principal method for evaluating qualitatively demyelinating events in the clinical context is contrast-weighted magnetic resonance imaging (MRI). Moreover, advanced MRI sequences provide reliable quantification of brain myelin offering new opportunities to study tissue pathology in vivo. Towards neurodegenerative aspects of the disease, spinal cord atrophy - besides brain atrophy - is a powerful and validated predictor of disease progression. The etiology of spinal cord volume loss is still a matter of research, as it remains unclear whether the impact of local lesion pathology or the interaction with supra- and infratentorial axonal degeneration and demyelination of the long descending and ascending fiber tracts are the determining factors. Quantitative synthetic MR using a multiecho acquisition of saturation recovery pulse sequence provides fast automatic brain tissue and myelin volumetry based on R1 and R2 relaxation rates and proton density quantification, making it a promising modality for application in the clinical routine. In this cross sectional study a total of 91 MS patients and 31 control subjects were included to investigate group differences of global and regional measures of brain myelin and relaxation rates, in different MS subtypes, using QRAPMASTER sequence and SyMRI postprocessing software. Furthermore, we examined associations between these quantitative brain parameters and spinal cord atrophy to draw conclusions about possible pathophysiological relationships. Intracranial myelin volume fraction of the global brain exhibited statistically significant differences between control subjects (10.4%) and MS patients (RRMS 9.4%, PMS 8.1%). In a LASSO regression analysis with total brain lesion load, intracranial myelin volume fraction and brain parenchymal fraction, the intracranial myelin volume fraction was the variable with the highest impact on spinal cord atrophy (standardized coefficient 4.52). Regional supratentorial MRI metrics showed altered average myelin volume fraction, R1, R2 and proton density in MS patients compared to controls most pronounced in PMS. Interestingly, quantitative MRI parameters in supratentorial regions showed strong associations with upper cord atrophy, suggesting an important role of brain diffuse demyelination on spinal cord pathology possibly in the context of global disease activity. R1, R2 or proton density of the thalamus, cerebellum and brainstem correlated with upper cervical cord atrophy, probably reflecting the direct functional connection between these brain structures and the spinal cord as well as the effects of retrograde and anterograde axonal degeneration. By using Synthetic MR-derived myelin volume fraction, we were able to effectively detect significant differences of myelination in relapsing and progressive MS subtypes. Total intracranial brain myelin volume fraction seemed to predict spinal cord volume loss better than brain atrophy or total lesion load. Furthermore, demyelination in highly myelinated supratentorial regions, as an indicator of diffuse disease activity, as well as alterations of relaxation parameters in adjacent infratentorial and midbrain areas were strongly associated with upper cervical cord atrophy.
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Affiliation(s)
- Theodoros Ladopoulos
- Department of Neurology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstr. 56, 44791 Bochum, Germany,Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstr. 56, 44791 Bochum, Germany,Corresponding authors at: St. Josef Hospital, Department of Neurology, Gudrunstr. 56, 44791 Bochum, Germany.
| | - Britta Matusche
- Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstr. 56, 44791 Bochum, Germany
| | - Barbara Bellenberg
- Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstr. 56, 44791 Bochum, Germany
| | - Florian Heuser
- Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstr. 56, 44791 Bochum, Germany
| | - Ralf Gold
- Department of Neurology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstr. 56, 44791 Bochum, Germany
| | - Carsten Lukas
- Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstr. 56, 44791 Bochum, Germany,Department of Diagnostic and Interventional Radiology and Nuclear Medicine, St. Josef Hospital, Ruhr-University Bochum, Gudrunstr. 56, 44791 Bochum, Germany
| | - Ruth Schneider
- Department of Neurology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstr. 56, 44791 Bochum, Germany,Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstr. 56, 44791 Bochum, Germany
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3
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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: 5.5] [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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Cilingir V, Akdeniz H. The course of cervical spinal cord atrophy rate and its relationship with NEDA in relapsing remitting multiple sclerosis. Acta Neurol Belg 2022; 122:345-355. [PMID: 33475987 DOI: 10.1007/s13760-021-01595-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 01/08/2021] [Indexed: 11/26/2022]
Abstract
This study aimed to compare the annualized segmental cervical spinal cord atrophy rate (ASCAR) in the early and late stages of relapsing remitting multiple sclerosis (RRMS), and to investigate the relationship between ASCAR and no evidence of disease activity (NEDA) in RRMS. Participants in this study included early stage MS (EMSg) patients, late stage MS (LMSg) patients, and healthy controls. All of the included participants (n = 175 subjects) were followed up for 14 months, and an MRI was performed on each participant at the beginning and at the end of the study. Cervical spinal cord average segmental area (CSCA) was measured by a semi-automated method, and ASCAR (mm2/year) was calculated. Data from the EMSg (n = 81 subjects) and LMSg (n = 94 subjects) patient groups were compared with each other and with the control group (n = 43 subjects). Examination of the initial CSCA values revealed that the baseline CSCA of the control group was larger than that of the EMSg (p < 0.001), and the baseline CSCA of the EMSg was larger than that of the LMSg (p < 0.001). The ASCAR of the control group, LMSg, and EMSg were 0.48, 0.93, and 1.81 mm2 (p < 0.001), respectively. Regression analysis revealed that disability increase was associated with ASCAR, while MRI activity and relapse presence were unrelated to ASCAR. In both patient groups, ASCAR was slower in those who fulfilled NEDA but this relationship was not significant. Cervical spinal cord atrophy progression over time occurs at a greater rate in the early stages of RRMS disease compared to the late stages. ASCAR was unrelated to MRI activity and relapse, which are clinical markers of acute inflammation.
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Affiliation(s)
- Vedat Cilingir
- Van Yuzuncu Yil University Faculty of Medicine Neurology Department, Kampus, 65300, Tusba, Van, Turkey.
| | - Hüseyin Akdeniz
- Van Yuzuncu Yil University Faculty of Medicine Radiology Department, Van, Turkey
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5
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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: 2.0] [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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6
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Bischof A, Papinutto N, Keshavan A, Rajesh A, Kirkish G, Zhang X, Mallott JM, Asteggiano C, Sacco S, Gundel TJ, Zhao C, Stern WA, Caverzasi E, Zhou Y, Gomez R, Ragan NR, Santaniello A, Zhu AH, Juwono J, Bevan CJ, Bove RM, Crabtree E, Gelfand JM, Goodin DS, Graves JS, Green AJ, Oksenberg JR, Waubant E, Wilson MR, Zamvil SS, Cree BA, Hauser SL, Henry RG. Spinal cord atrophy predicts progressive disease in relapsing multiple sclerosis. Ann Neurol 2021; 91:268-281. [PMID: 34878197 PMCID: PMC8916838 DOI: 10.1002/ana.26281] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 12/04/2021] [Accepted: 12/06/2021] [Indexed: 11/06/2022]
Abstract
Objective A major challenge in multiple sclerosis (MS) research is the understanding of silent progression and Progressive MS. Using a novel method to accurately capture upper cervical cord area from legacy brain MRI scans we aimed to study the role of spinal cord and brain atrophy for silent progression and conversion to secondary progressive disease (SPMS). Methods From a single‐center observational study, all RRMS (n = 360) and SPMS (n = 47) patients and 80 matched controls were evaluated. RRMS patient subsets who converted to SPMS (n = 54) or silently progressed (n = 159), respectively, during the 12‐year observation period were compared to clinically matched RRMS patients remaining RRMS (n = 54) or stable (n = 147), respectively. From brain MRI, we assessed the value of brain and spinal cord measures to predict silent progression and SPMS conversion. Results Patients who developed SPMS showed faster cord atrophy rates (−2.19%/yr) at least 4 years before conversion compared to their RRMS matches (−0.88%/yr, p < 0.001). Spinal cord atrophy rates decelerated after conversion (−1.63%/yr, p = 0.010) towards those of SPMS patients from study entry (−1.04%). Each 1% faster spinal cord atrophy rate was associated with 69% (p < 0.0001) and 53% (p < 0.0001) shorter time to silent progression and SPMS conversion, respectively. Interpretation Silent progression and conversion to secondary progressive disease are predominantly related to cervical cord atrophy. This atrophy is often present from the earliest disease stages and predicts the speed of silent progression and conversion to Progressive MS. Diagnosis of SPMS is rather a late recognition of this neurodegenerative process than a distinct disease phase. ANN NEUROL 2022;91:268–281
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Affiliation(s)
- Antje Bischof
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Nico Papinutto
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Anisha Keshavan
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Anand Rajesh
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Gina Kirkish
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Xinheng Zhang
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jacob M Mallott
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Carlo Asteggiano
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Simone Sacco
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Tristan J Gundel
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Chao Zhao
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - William A Stern
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Eduardo Caverzasi
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Yifan Zhou
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Refujia Gomez
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Nicholas R Ragan
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Adam Santaniello
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Alyssa H Zhu
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jeremy Juwono
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Carolyn J Bevan
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Riley M Bove
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Elizabeth Crabtree
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jeffrey M Gelfand
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Douglas S Goodin
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jennifer S Graves
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Ari J Green
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jorge R Oksenberg
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Emmanuelle Waubant
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Michael R Wilson
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Scott S Zamvil
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
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- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Bruce A Cree
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Stephen L Hauser
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Roland G Henry
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
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7
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Valsasina P, Gobbi C, Zecca C, Rovira A, Sastre-Garriga J, Kearney H, Yiannakas M, Matthews L, Palace J, Gallo A, Bisecco A, Gass A, Eisele P, Filippi M, Rocca MA. Characterizing 1-year development of cervical cord atrophy across different MS phenotypes: A voxel-wise, multicentre analysis. Mult Scler 2021; 28:885-899. [PMID: 34605323 DOI: 10.1177/13524585211045545] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Spatio-temporal evolution of cord atrophy in multiple sclerosis (MS) has not been investigated yet. OBJECTIVE To evaluate voxel-wise distribution and 1-year changes of cervical cord atrophy in a multicentre MS cohort. METHODS Baseline and 1-year 3D T1-weighted cervical cord scans and clinical evaluations of 54 healthy controls (HC) and 113 MS patients (14 clinically isolated syndromes (CIS), 77 relapsing-remitting (RR), 22 progressive (P)) were used to investigate voxel-wise cord volume loss in patients versus HC, 1-year volume changes and clinical correlations (SPM12). RESULTS MS patients exhibited baseline cord atrophy versus HC at anterior and posterior/lateral C1/C2 and C4-C6 (p < 0.05, corrected). While CIS patients showed baseline volume increase at C4 versus HC (p < 0.001, uncorrected), RRMS exhibited posterior/lateral C1/C2 atrophy versus CIS, and PMS showed widespread cord atrophy versus RRMS (p < 0.05, corrected). At 1 year, 13 patients had clinically worsened. Cord atrophy progressed in MS, driven by RRMS, at posterior/lateral C2 and C3-C6 (p < 0.05, corrected). CIS patients showed no volume changes, while PMS showed circumscribed atrophy progression. Baseline cord atrophy at posterior/lateral C1/C2 and C3-C6 correlated with concomitant and 1-year disability (r = -0.40/-0.62, p < 0.05, corrected). CONCLUSIONS Voxel-wise analysis characterized spinal cord neurodegeneration over 1 year across MS phenotypes and helped to explain baseline and 1-year disability.
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Affiliation(s)
- Paola Valsasina
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Claudio Gobbi
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, Civic Hospital, Lugano, Switzerland Faculty of Biomedical Sciences, Università della Svizzera Italiana (USI), Lugano. Switzerland
| | - Chiara Zecca
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, Civic Hospital, Lugano, Switzerland Faculty of Biomedical Sciences, Università della Svizzera Italiana (USI), Lugano. Switzerland
| | - Alex Rovira
- Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Jaume Sastre-Garriga
- Department of Neurology/Neuroimmunology, Multiple Sclerosis Center of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Hugh Kearney
- Department of Neurology, St. Vincent's University Hospital, Dublin, Ireland/NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - Marios Yiannakas
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - Lucy Matthews
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Jacqueline Palace
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Antonio Gallo
- Department of Advanced Medical and Surgical Sciences, 3T-MRI Research Centre, University of Campania 'Luigi Vanvitelli', Naples, Italy
| | - Alvino Bisecco
- Department of Advanced Medical and Surgical Sciences, 3T-MRI Research Centre, University of Campania 'Luigi Vanvitelli', Naples, Italy
| | - Achim Gass
- Department of Neurology/Neuroimaging, Medical Faculty Mannheim and Mannheim Center for Translational Neurosciences (MCTN), University of Heidelberg, Mannheim, Germany
| | - Philipp Eisele
- Department of Neurology/Neuroimaging, Medical Faculty Mannheim and Mannheim Center for Translational Neurosciences (MCTN), University of Heidelberg, Mannheim, Germany
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, Neurology Unit, Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy/Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
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8
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Valsasina P, Horsfield MA, Meani A, Gobbi C, Gallo A, Rocca MA, Filippi M. Improved Assessment of Longitudinal Spinal Cord Atrophy in Multiple Sclerosis Using a Registration-Based Approach: Relevance for Clinical Studies. J Magn Reson Imaging 2021; 55:1559-1568. [PMID: 34582062 DOI: 10.1002/jmri.27937] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 09/15/2021] [Accepted: 09/17/2021] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Reliable measurements of cervical cord atrophy progression may be useful for monitoring neurodegeneration in multiple sclerosis (MS). PURPOSE To compare a new, registration-based (Reg) method with two existing methods (active surface [AS] and propagation segmentation [PropSeg]) to measure cord atrophy changes over time in MS. STUDY TYPE Retrospective. SUBJECTS Cohort I: Eight healthy controls (HC) and 28 MS patients enrolled at a single institution, and cohort II: 25 HC and 63 MS patients enrolled at three European sites. FIELD STRENGTH/SEQUENCE 3D T1-weighted gradient echo sequence, acquired at 1.5 T (cohort I) and 3.0 T (cohort II). ASSESSMENT Percentage cord area changes (PCACs) between baseline and follow-up (cohort I: 2.34 years [interquartile range = 2.00-2.55 years], cohort II: 1.05 years [interquartile range = 1.01-1.18 years]) were evaluated for all subjects using Reg, AS, and PropSeg. Reg included an accurate registration of baseline and follow-up straightened cord images, followed by AS-based optimized cord segmentation. A subset of studies was analyzed twice by two observers. STATISTICAL TESTS Linear regression models were used to estimate annualized PCAC, and effect sizes expressed as the ratio between the estimated differences and HC error term (P < 0.05). Reproducibility was assessed by linear mixed-effect models. Annualized PCACs were used for sample size calculations (significance: α = 0.05, power: 1 - β = 0.80). RESULTS Annualized PCACs and related standard errors (SEs) were lower with Reg than with other methods: PCAC in MS patients at 1.5 T was -1.12% (SE = 0.22) with Reg, -1.32% (SE = 0.30) with AS, and -1.40% (SE = 0.33) with PropSeg, while at 3.0 T PCAC was -0.83% (SE = 0.25) with Reg, -0.92% (SE = 0.32) with AS, and -1.18 (SE = 0.53) with PropSeg. This was reflected in larger effect sizes and lower sample sizes. Intra- and inter-observer agreement range was 0.72-0.91 with AS, and it was >0.96 with Reg. DATA CONCLUSION The results support the use of the registration method to measure cervical cord atrophy progression in future MS clinical studies. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY STAGE: 2.
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Affiliation(s)
- Paola Valsasina
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Alessandro Meani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Claudio Gobbi
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland (NSI), Lugano, Switzerland.,Faculty of Biomedical Sciences, Università della Svizzera Italiana (USI), Lugano, Switzerland
| | - Antonio Gallo
- Department of Advanced Medical and Surgical Sciences and 3T-MRI Research Centre, University of Campania "Luigi Vanvitelli", Naples, 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
| | - 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
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9
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Bateman GA, Lechner-Scott J, Carey MF, Bateman AR, Lea RA. Possible Markers of Venous Sinus Pressure Elevation in Multiple Sclerosis: Correlations with Gender and Disease Progression. Mult Scler Relat Disord 2021; 55:103207. [PMID: 34392058 DOI: 10.1016/j.msard.2021.103207] [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: 06/07/2021] [Revised: 08/02/2021] [Accepted: 08/07/2021] [Indexed: 01/01/2023]
Abstract
BACKGROUND In a previous study, multiple sclerosis (MS) was found to be associated with an increase in intracranial arterial pulsation volume and a reduction in venous sinus compliance, affecting pulsation dampening. There was a suggestion that the reduction in compliance of the sagittal sinus in MS was caused by an increase in venous pressure, secondary to transverse sinus stenosis. Some differences were noted depending on the gender of the patients, however, the original study was relatively underpowered for further sub-classification. The purpose of the current study is to enroll a larger number of patients to allow sub-classification on gender and disease type to further evaluate the markers of possible venous pressure alteration. METHODS 103 patients with MS were prospectively recruited from an MS clinic and compared to 50 matched non-MS patients. Using 3DT1 post contrast images, the sagittal sinus cross-sectional area was measured. The narrowest portion of the transverse sinuses was located and the cross sectional areas and wetted circumferences were measured to calculate the minimum hydraulic and effective diameters. The jugular bulb heights were measured. Voxel wise brain morphometry was performed to evaluate atrophy. Statistical analysis was performed using non-parametric methods and was assessed using α≤0.05. RESULTS Compared to controls, the MS patients' sagittal sinuses were 23% larger in cross-section (p<0.0001), the transverse sinuses had an average effective stenosis of 39% by area (p<0.0001) and there was a 62% increase in jugular bulb height (p=0.0001). The MS patients showed a reduction in normalized grey matter volume of 2.8% (p= 0.0001). Males with MS showed worse outcomes compared to females, with an increased EDSS and grey matter loss and had a 23% larger sagittal sinus area (p=0.02), 22% higher jugular bulb height (p=0.03) but a lower transverse sinus stenosis percentage (19% vs 48%, p<0.0001). Progressive forms of MS also had worse outcomes and had a 19% larger sagittal sinus area (p=0.04) compared to relapsing remitting MS. CONCLUSION In this larger cohort, worse outcomes in both males and progressive forms of MS were associated with larger sagittal sinuses. The possible cause of the altered sinus pressure in females was narrower transverse sinuses. In males, higher jugular bulbs may be associated with increased venous sinus pressure.
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Affiliation(s)
- Grant Alexander Bateman
- Department of Medical Imaging, John Hunter Hospital, Newcastle, NSW, Australia; Newcastle University Faculty of Health, Callaghan Campus, Newcastle, NSW, Australia.
| | - Jeannette Lechner-Scott
- Newcastle University Faculty of Health, Callaghan Campus, Newcastle, NSW, Australia; Department of Neurology, John Hunter Hospital, Newcastle, NSW, Australia; Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Michael Fionn Carey
- Department of Medical Imaging, John Hunter Hospital, Newcastle, NSW, Australia
| | | | - Rodney Arthur Lea
- Newcastle University Faculty of Health, Callaghan Campus, Newcastle, NSW, Australia; Hunter Medical Research Institute, Newcastle, NSW, Australia
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10
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Mina Y, Azodi S, Dubuche T, Andrada F, Osuorah I, Ohayon J, Cortese I, Wu T, Johnson KR, Reich DS, Nair G, Jacobson S. Cervical and thoracic cord atrophy in multiple sclerosis phenotypes: Quantification and correlation with clinical disability. NEUROIMAGE-CLINICAL 2021; 30:102680. [PMID: 34215150 PMCID: PMC8131917 DOI: 10.1016/j.nicl.2021.102680] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 04/15/2021] [Accepted: 04/16/2021] [Indexed: 12/01/2022]
Abstract
Spinal cord atrophy is prevalent across multiple sclerosis phenotypes. It correlates with disability, especially in relapsing-remitting patients. This correlation can be demonstrated both cross-sectionally and longitudinally. Cervical atrophy is highly associated with disability and disease progression. Thoracic atrophy contributes to improved correlation and radiological subgrouping.
Objective We sought to characterize spinal cord atrophy along the entire spinal cord in the major multiple sclerosis (MS) phenotypes, and evaluate its correlation with clinical disability. Methods Axial T1-weighted images were automatically reformatted at each point along the cord. Spinal cord cross‐sectional area (SCCSA) were calculated from C1-T10 vertebral body levels and profile plots were compared across phenotypes. Average values from C2-3, C4-5, and T4-9 regions were compared across phenotypes and correlated with clinical scores, and then categorized as atrophic/normal based on z-scores derived from controls, to compare clinical scores between subgroups. In a subset of relapsing-remitting cases with longitudinal scans these regions were compared to change in clinical scores. Results The cross-sectional study consisted of 149 adults diagnosed with relapsing-remitting MS (RRMS), 49 with secondary-progressive MS (SPMS), 58 with primary-progressive MS (PPMS) and 48 controls. The longitudinal study included 78 RRMS cases. Compared to controls, all MS groups had smaller average regions except RRMS in T4-9 region. In all MS groups, SCCSA from all regions, particularly the cervical cord, correlated with most clinical measures. In the RRMS cohort, 22% of cases had at least one atrophic region, whereas in progressive MS the rate was almost 70%. Longitudinal analysis showed correlation between clinical disability and cervical cord thinning. Conclusions Spinal cord atrophy was prevalent across MS phenotypes, with regional measures from the RRMS cohort and the progressive cohort, including SPMS and PPMS, being correlated with disability. Longitudinal changes in the spinal cord were documented in RRMS cases, making it a potential marker for disease progression. While cervical SCCSA correlated with most disability and progression measures, inclusion of thoracic measurements improved this correlation and allowed for better subgrouping of spinal cord phenotypes. Cord atrophy is an important and easily obtainable imaging marker of clinical and sub-clinical progression in all MS phenotypes, and such measures can play a key role in patient selection for clinical trials.
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Affiliation(s)
- Yair Mina
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States; Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Shila Azodi
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States; Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Tsemacha Dubuche
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Frances Andrada
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Ikesinachi Osuorah
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Joan Ohayon
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Irene Cortese
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Tianxia Wu
- Clinical Trials Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Kory R Johnson
- Bioinformatics Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Govind Nair
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States; Quantitative MRI Core Facility, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Steven Jacobson
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
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11
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Haider L, Prados F, Chung K, Goodkin O, Kanber B, Sudre C, Yiannakas M, Samson RS, Mangesius S, Thompson AJ, Gandini Wheeler-Kingshott CAM, Ciccarelli O, Chard DT, Barkhof F. Cortical involvement determines impairment 30 years after a clinically isolated syndrome. Brain 2021; 144:1384-1395. [PMID: 33880511 PMCID: PMC8219364 DOI: 10.1093/brain/awab033] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 11/24/2020] [Accepted: 12/03/2020] [Indexed: 01/01/2023] Open
Abstract
Many studies report an overlap of MRI and clinical findings between patients with relapsing-remitting multiple sclerosis (RRMS) and secondary progressive multiple sclerosis (SPMS), which in part is reflective of inclusion of subjects with variable disease duration and short periods of follow-up. To overcome these limitations, we examined the differences between RRMS and SPMS and the relationship between MRI measures and clinical outcomes 30 years after first presentation with clinically isolated syndrome suggestive of multiple sclerosis. Sixty-three patients were studied 30 years after their initial presentation with a clinically isolated syndrome; only 14% received a disease modifying treatment at any time point. Twenty-seven patients developed RRMS, 15 SPMS and 21 experienced no further neurological events; these groups were comparable in terms of age and disease duration. Clinical assessment included the Expanded Disability Status Scale, 9-Hole Peg Test and Timed 25-Foot Walk and the Brief International Cognitive Assessment For Multiple Sclerosis. All subjects underwent a comprehensive MRI protocol at 3 T measuring brain white and grey matter (lesions, volumes and magnetization transfer ratio) and cervical cord involvement. Linear regression models were used to estimate age- and gender-adjusted group differences between clinical phenotypes after 30 years, and stepwise selection to determine associations between a large sets of MRI predictor variables and physical and cognitive outcome measures. At the 30-year follow-up, the greatest differences in MRI measures between SPMS and RRMS were the number of cortical lesions, which were higher in SPMS (the presence of cortical lesions had 100% sensitivity and 88% specificity), and grey matter volume, which was lower in SPMS. Across all subjects, cortical lesions, grey matter volume and cervical cord volume explained 60% of the variance of the Expanded Disability Status Scale; cortical lesions alone explained 43%. Grey matter volume, cortical lesions and gender explained 43% of the variance of Timed 25-Foot Walk. Reduced cortical magnetization transfer ratios emerged as the only significant explanatory variable for the symbol digit modality test and explained 52% of its variance. Cortical involvement, both in terms of lesions and atrophy, appears to be the main correlate of progressive disease and disability in a cohort of individuals with very long follow-up and homogeneous disease duration, indicating that this should be the target of therapeutic interventions.
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Affiliation(s)
- Lukas Haider
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.,Department of Biomedical Imaging and Image Guided Therapy, Medical University Vienna, Austria
| | - Ferran Prados
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.,Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK.,Universitat Oberta de Catalunya, Barcelona, Spain
| | - Karen Chung
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Olivia Goodkin
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Baris Kanber
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.,Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK.,Department of Clinical and Experimental Epilepsy, University College London, London, UK
| | - Carole Sudre
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.,School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.,Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Marios Yiannakas
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Rebecca S Samson
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Stephanie Mangesius
- Department of Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria.,Neuroimaging Core Facility, Medical University of Innsbruck, Innsbruck, Austria
| | - Alan J Thompson
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Claudia A M Gandini Wheeler-Kingshott
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.,Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy.,Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| | - Olga Ciccarelli
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.,National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, London, UK
| | - Declan T Chard
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.,National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, London, UK
| | - Frederik Barkhof
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.,Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK.,National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, London, UK.,Department of Radiology and Nuclear Medicine, VU University Medical Centre, Amsterdam, The Netherlands
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12
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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: 1.3] [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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13
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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: 1.0] [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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14
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Kuchling J, Paul F. Visualizing the Central Nervous System: Imaging Tools for Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorders. Front Neurol 2020; 11:450. [PMID: 32625158 PMCID: PMC7311777 DOI: 10.3389/fneur.2020.00450] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 04/28/2020] [Indexed: 12/12/2022] Open
Abstract
Multiple sclerosis (MS) and neuromyelitis optica spectrum disorders (NMOSD) are autoimmune central nervous system conditions with increasing incidence and prevalence. While MS is the most frequent inflammatory CNS disorder in young adults, NMOSD is a rare disease, that is pathogenetically distinct from MS, and accounts for approximately 1% of demyelinating disorders, with the relative proportion within the demyelinating CNS diseases varying widely among different races and regions. Most immunomodulatory drugs used in MS are inefficacious or even harmful in NMOSD, emphasizing the need for a timely and accurate diagnosis and distinction from MS. Despite distinct immunopathology and differences in disease course and severity there might be considerable overlap in clinical and imaging findings, posing a diagnostic challenge for managing neurologists. Differential diagnosis is facilitated by positive serology for AQP4-antibodies (AQP4-ab) in NMOSD, but might be difficult in seronegative cases. Imaging of the brain, optic nerve, retina and spinal cord is of paramount importance when managing patients with autoimmune CNS conditions. Once a diagnosis has been established, imaging techniques are often deployed at regular intervals over the disease course as surrogate measures for disease activity and progression and to surveil treatment effects. While the application of some imaging modalities for monitoring of disease course was established decades ago in MS, the situation is unclear in NMOSD where work on longitudinal imaging findings and their association with clinical disability is scant. Moreover, as long-term disability is mostly attack-related in NMOSD and does not stem from insidious progression as in MS, regular follow-up imaging might not be useful in the absence of clinical events. However, with accumulating evidence for covert tissue alteration in NMOSD and with the advent of approved immunotherapies the role of imaging in the management of NMOSD may be reconsidered. By contrast, MS management still faces the challenge of implementing imaging techniques that are capable of monitoring progressive tissue loss in clinical trials and cohort studies into treatment algorithms for individual patients. This article reviews the current status of imaging research in MS and NMOSD with an emphasis on emerging modalities that have the potential to be implemented in clinical practice.
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Affiliation(s)
- Joseph Kuchling
- Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt–Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt–Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Department of Neurology, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt–Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Friedemann Paul
- Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt–Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt–Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Department of Neurology, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt–Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
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15
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Rocca MA, Preziosa P, Filippi M. What role should spinal cord MRI take in the future of multiple sclerosis surveillance? Expert Rev Neurother 2020; 20:783-797. [PMID: 32133874 DOI: 10.1080/14737175.2020.1739524] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
INTRODUCTION In multiple sclerosis (MS), inflammatory, demyelinating, and neurodegenerative phenomena affect the spinal cord, with detrimental effects on patients' clinical disability. Although spinal cord imaging may be challenging, improvements in MRI technologies have contributed to better evaluate spinal cord involvement in MS. AREAS COVERED This review summarizes the current state-of-art of the application of conventional and advanced MRI techniques to evaluate spinal cord damage in MS. Typical features of spinal cord lesions, their role in the diagnostic work-up of suspected MS, their predictive role for subsequent disease course and clinical worsening, and their utility to define treatment response are discussed. The role of spinal cord atrophy and of other advanced MRI techniques to better evaluate the associations between spinal cord abnormalities and the accumulation of clinical disability are also evaluated. Finally, how spinal cord assessment could evolve in the future to improve monitoring of disease progression and treatment effects is examined. EXPERT OPINION Spinal cord MRI provides relevant additional information to brain MRI in understanding MS pathophysiology, in allowing an earlier and more accurate diagnosis of MS, and in identifying MS patients at higher risk to develop more severe disability. A future role in monitoring the effects of treatments is also foreseen.
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Affiliation(s)
- Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurophysiology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Vita-Salute San Raffaele University , Milan, Italy
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16
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Rocca MA, Valsasina P, Meani A, Gobbi C, Zecca C, Rovira À, Montalban X, Kearney H, Ciccarelli O, Matthews L, Palace J, Gallo A, Bisecco A, Gass A, Eisele P, Lukas C, Bellenberg B, Barkhof F, Vrenken H, Preziosa P, Comi G, Filippi M. Clinically relevant cranio-caudal patterns of cervical cord atrophy evolution in MS. Neurology 2019; 93:e1852-e1866. [PMID: 31611336 DOI: 10.1212/wnl.0000000000008466] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 06/04/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To characterize the distribution and regional evolution of cervical cord atrophy in patients with multiple sclerosis (MS) in a multicenter dataset. METHODS MRI and clinical evaluations were acquired from 179 controls and 435 patients (35 clinically isolated syndromes [CIS], 259 relapsing-remitting multiple sclerosis [RRMS], 99 secondary progressive multiple sclerosis [SPMS], and 42 primary progressive multiple sclerosis [PPMS]). Sixty-nine controls and 178 patients underwent a 1-year MRI and clinical follow-up. Patients were classified as clinically stable/worsened according to their disability change. Longitudinal changes of cord atrophy were investigated with linear mixed-effect models. Sample size calculations were performed using age-, sex- and site-adjusted annualized percentage normalized cord cross-sectional area (CSAn) changes. RESULTS Baseline CSAn was lower in patients with MS vs controls (p < 0.001), but not different between controls and patients with CIS or between patients with early RRMS (disease duration ≤5 years) and patients with CIS. Patients with late RRMS (disease duration >5 years) showed significant cord atrophy vs patients with early RRMS (p = 0.02). Patients with progressive MS had decreased CSAn (p < 0.001) vs patients with RRMS. Atrophy was located between C1/C2 and C5 in patients with RRMS vs patients with CIS, and widespread along the cord in patients with progressive MS vs patients with RRMS, with an additional C5/C6 involvement in patients with SPMS vs patients with PPMS. At follow-up, CSAn decreased in all phenotypes (p < 0.001), except CIS. Cord atrophy rates were highest in patients with early RRMS and clinically worsened patients, who had a more widespread cord involvement than stable patients. The sample size per arm required to detect a 50% treatment effect was 118 for patients with early RRMS. CONCLUSIONS Cord atrophy increased in MS during 1 year, except for CIS. Faster atrophy contributed to explain clinical worsening.
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Affiliation(s)
- Maria A Rocca
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy.
| | - Paola Valsasina
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Alessandro Meani
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Claudio Gobbi
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Chiara Zecca
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Àlex Rovira
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Xavier Montalban
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Hugh Kearney
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Olga Ciccarelli
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Lucy Matthews
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Jacqueline Palace
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Antonio Gallo
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Alvino Bisecco
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Achim Gass
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Philipp Eisele
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Carsten Lukas
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Barbara Bellenberg
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Frederik Barkhof
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Hugo Vrenken
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Paolo Preziosa
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Giancarlo Comi
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
| | - Massimo Filippi
- From the Neuroimaging Research Unit (M.A.R., P.V., A.M., P.P., M.F.) and Neurology Unit (M.A.R., P.P., G.C., M.F.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology (C.G., C.Z.), Neurocenter of Southern Switzerland, Regional Hospital Lugano (EOC), Lugano; Faculty of Biomedical Sciences (C.G., C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Section of Neuroradiology and MRI Unit, Department of Radiology (A.R.), and Department of Neurology/Neuroimmunology (X.M.), Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (H.K., O.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London; Nuffield Department of Clinical Neurosciences (L.M., J.P.), University of Oxford, UK; Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, (A.G., A.B.), University of Campania "Luigi Vanvitelli," Naples, Italy; Department of Neurology (A.G., P.E.), Universitätsmedizin Mannheim, University of Heidelberg, Germany; Department of Radiology and Nuclear Medicine (C.L., B.B.) and Institute of Neuroradiology (C.L., B.B.), St. Josef Hospital, Ruhr-University Bochum, Germany; Department of Radiology and Nuclear Medicine (F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Vita-Salute San Raffaele University (P.P., G.C., M.F.), Milan, Italy
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17
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Weeda MM, Middelkoop SM, Steenwijk MD, Daams M, Amiri H, Brouwer I, Killestein J, Uitdehaag BMJ, Dekker I, Lukas C, Bellenberg B, Barkhof F, Pouwels PJW, Vrenken H. Validation of mean upper cervical cord area (MUCCA) measurement techniques in multiple sclerosis (MS): High reproducibility and robustness to lesions, but large software and scanner effects. NEUROIMAGE-CLINICAL 2019; 24:101962. [PMID: 31416017 PMCID: PMC6704046 DOI: 10.1016/j.nicl.2019.101962] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 07/12/2019] [Accepted: 07/26/2019] [Indexed: 11/15/2022]
Abstract
Introduction Atrophy of the spinal cord is known to occur in multiple sclerosis (MS). The mean upper cervical cord area (MUCCA) can be used to measure this atrophy. Currently, several (semi-)automated methods for MUCCA measurement exist, but validation in clinical magnetic resonance (MR) images is lacking. Methods Five methods to measure MUCCA (SCT-PropSeg, SCT-DeepSeg, NeuroQLab, Xinapse JIM and ITK-SNAP) were investigated in a predefined upper cervical cord region. First, within-scanner reproducibility and between-scanner robustness were assessed using intra-class correlation coefficient (ICC) and Dice's similarity index (SI) in scan-rescan 3DT1-weighted images (brain, including cervical spine using a head coil) performed on three 3 T MR machines (GE MR750, Philips Ingenuity, Toshiba Vantage Titan) in 21 subjects with MS and 6 healthy controls (dataset A). Second, sensitivity of MUCCA measurement to lesions in the upper cervical cord was assessed with cervical 3D T1-weighted images (3 T GE HDxT using a head-neck-spine coil) in 7 subjects with MS without and 14 subjects with MS with cervical lesions (dataset B), using ICC and SI with manual reference segmentations. Results In dataset A, MUCCA differed between MR machines (p < 0.001) and methods (p < 0.001) used, but not between scan sessions. With respect to MUCCA values, Xinapse JIM showed the highest within-scanner reproducibility (ICC absolute agreement = 0.995) while Xinapse JIM and SCT-PropSeg showed the highest between-scanner robustness (ICC consistency = 0.981 and 0.976, respectively). Reproducibility of segmentations between scan sessions was highest in Xinapse JIM and SCT-PropSeg segmentations (median SI ≥ 0.921), with a significant main effect of method (p < 0.001), but not of MR machine or subject group. In dataset B, SI with manual outlines did not differ between patients with or without cervical lesions for any of the segmentation methods (p > 0.176). However, there was an effect of method for both volumetric and voxel wise agreement of the segmentations (both p < 0.001). Highest volumetric and voxel wise agreement was obtained with Xinapse JIM (ICC absolute agreement = 0.940 and median SI = 0.962). Conclusion Although MUCCA is highly reproducible within a scanner for each individual measurement method, MUCCA differs between scanners and between methods. Cervical cord lesions do not affect MUCCA measurement performance. Mean upper cervical cord area (MUCCA) was obtained with five different methods. MUCCA was determined in a unique scan-rescan multi-vendor MR study. Reproducibility: MUCCA did not differ between scan-rescan images for any method. Robustness: MUCCA differed between methods and between scanners. Performance of MUCCA methods was not affected by the presence of lesions.
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Affiliation(s)
- M M Weeda
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands.
| | - S M Middelkoop
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands
| | - M D Steenwijk
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC - location VUmc, Amsterdam, the Netherlands
| | - M Daams
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands
| | - H Amiri
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands
| | - I Brouwer
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands
| | - J Killestein
- Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC - location VUmc, Amsterdam, the Netherlands
| | - B M J Uitdehaag
- Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC - location VUmc, Amsterdam, the Netherlands
| | - I Dekker
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands; Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC - location VUmc, Amsterdam, the Netherlands
| | - C Lukas
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, St. Josef Hospital, Ruhr University, Bochum, Germany
| | - B Bellenberg
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, St. Josef Hospital, Ruhr University, Bochum, Germany
| | - F Barkhof
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands; Institutes of Neurology and Healthcare Engineering, UCL, London, UK
| | - P J W Pouwels
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands
| | - H Vrenken
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands
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18
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Pravatà E, Valsasina P, Gobbi C, Zecca C, Riccitelli GC, Filippi M, Rocca MA. Influence of CNS T2-focal lesions on cervical cord atrophy and disability in multiple sclerosis. Mult Scler 2019; 26:1402-1409. [DOI: 10.1177/1352458519865989] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Mechanisms associated with cervical spinal cord (CSC) and upper thoracic spinal cord (TSC) atrophy in multiple sclerosis (MS) are poorly understood. Objective: To assess the influence of brain, CSC and TSC T2-hyperintense lesions on cord atrophy and disability in MS. Methods: Thirty-four MS patients underwent 3T brain, cervical and thoracic cord magnetic resonance imaging (MRI) and Expanded Disability Status Scale (EDSS) score assessment. CSC/TSC lesion number and volume (LV), whole-brain and cortico-spinal tract (CST) LVs were obtained. Normalized whole CSC and upper TSC cross-sectional areas (CSAn) were also derived. Age- and sex-adjusted regression models assessed associations of brain/cord lesions with CSAn and EDSS and identified variables independently associated with CSAn and EDSS with a stepwise variable selection. Results: CSC CSAn (β = −0.36, p = 0.03) and TSC CSAn (β = −0.60, p < 0.001) were associated with CSC T2 LV. EDSS (median = 3.0) was correlated with CSC T2 LV (β = 0.42, p = 0.01), brain (β = 0.34, p = 0.04) and CST LV (β = 0.35, p = 0.03). The multivariate analysis retained CSC LV as significant predictor of CSC CSAn ( R2 = 0.20, p = 0.023) and TSC CSAn ( R2 = 0.51, p < 0.001) and retained CSC and CST LVs as significant predictors of EDSS ( R2 = 0.55, p = 0.001). Conclusions: CSC LV is an independent predictor of cord atrophy. When neurological impairment is relatively mild, central nervous system (CNS) lesion burden is a better correlate of disability than atrophy.
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Affiliation(s)
- Emanuele Pravatà
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy/Department of Neuroradiology, Neurocenter of Southern Switzerland, Civic Hospital, Lugano, Switzerland
| | - Paola Valsasina
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Claudio Gobbi
- Department of Neurology, Neurocenter of Southern Switzerland, Civic Hospital, Lugano, Switzerland
| | - Chiara Zecca
- Department of Neurology, Neurocenter of Southern Switzerland, Civic Hospital, Lugano, Switzerland
| | - Gianna C Riccitelli
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy/Department of Neurology, Neurocenter of Southern Switzerland, Civic Hospital, Lugano, Switzerland
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy/Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy/Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy/Department of Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
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19
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Moccia M, Ruggieri S, Ianniello A, Toosy A, Pozzilli C, Ciccarelli O. Advances in spinal cord imaging in multiple sclerosis. Ther Adv Neurol Disord 2019; 12:1756286419840593. [PMID: 31040881 PMCID: PMC6477770 DOI: 10.1177/1756286419840593] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 03/03/2019] [Indexed: 11/18/2022] Open
Abstract
The spinal cord is frequently affected in multiple sclerosis (MS), causing motor, sensory and autonomic dysfunction. A number of pathological abnormalities, including demyelination and neuroaxonal loss, occur in the MS spinal cord and are studied in vivo with magnetic resonance imaging (MRI). The aim of this review is to summarise and discuss recent advances in spinal cord MRI. Advances in conventional spinal cord MRI include improved identification of MS lesions, recommended spinal cord MRI protocols, enhanced recognition of MRI lesion characteristics that allow MS to be distinguished from other myelopathies, evidence for the role of spinal cord lesions in predicting prognosis and monitoring disease course, and novel post-processing methods to obtain lesion probability maps. The rate of spinal cord atrophy is greater than that of brain atrophy (-1.78% versus -0.5% per year), and reflects neuroaxonal loss in an eloquent site of the central nervous system, suggesting that it can become an important outcome measure in clinical trials, especially in progressive MS. Recent developments allow the calculation of spinal cord atrophy from brain volumetric scans and evaluation of its progression over time with registration-based techniques. Fully automated analysis methods, including segmentation of grey matter and intramedullary lesions, will facilitate the use of spinal cord atrophy in trial designs and observational studies. Advances in quantitative imaging techniques to evaluate neuroaxonal integrity, myelin content, metabolic changes, and functional connectivity, have provided new insights into the mechanisms of damage in MS. Future directions of research and the possible impact of 7T scanners on spinal cord imaging will be discussed.
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Affiliation(s)
- Marcello Moccia
- Queen Square MS Centre, NMR Research Unit, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neurosciences, Federico II University of Naples, via Sergio Pansini, 5, Edificio 17 - piano terra, Napoli, 80131 Naples, Italy
| | - Serena Ruggieri
- Department of Human Neuroscience, Sapienza University of Rome, Italy
| | - Antonio Ianniello
- Department of Human Neuroscience, Sapienza University of Rome, Italy
| | - Ahmed Toosy
- Queen Square MS Centre, NMR Research Unit, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Carlo Pozzilli
- Department of Human Neuroscience, Sapienza University of Rome, Italy
| | - Olga Ciccarelli
- Queen Square MS Centre, NMR Research Unit, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- National Institute for Health Research, University College London Hospitals Biomedical Research Centre, London, UK
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20
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Barro C, Benkert P, Disanto G, Tsagkas C, Amann M, Naegelin Y, Leppert D, Gobbi C, Granziera C, Yaldizli Ö, Michalak Z, Wuerfel J, Kappos L, Parmar K, Kuhle J. Serum neurofilament as a predictor of disease worsening and brain and spinal cord atrophy in multiple sclerosis. Brain 2018; 141:2382-2391. [DOI: 10.1093/brain/awy154] [Citation(s) in RCA: 254] [Impact Index Per Article: 42.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Accepted: 04/15/2018] [Indexed: 11/14/2022] Open
Affiliation(s)
- Christian Barro
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Pascal Benkert
- Clinical Trial Unit, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Giulio Disanto
- Neurocentre of Southern Switzerland, Ospedale Civico, Lugano, Switzerland
| | - Charidimos Tsagkas
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Michael Amann
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- Medical Image Analysis Center (MIAC AG), Basel, Switzerland
- Division of Diagnostic and Interventional Neuroradiology, Department of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Yvonne Naegelin
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - David Leppert
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Claudio Gobbi
- Neurocentre of Southern Switzerland, Ospedale Civico, Lugano, Switzerland
| | - Cristina Granziera
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- Department of Biomedical Engineering, University Basel, Switzerland
| | - Özgür Yaldizli
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Zuzanna Michalak
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center (MIAC AG), Basel, Switzerland
- Division of Diagnostic and Interventional Neuroradiology, Department of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- Department of Biomedical Engineering, University Basel, Switzerland
| | - Katrin Parmar
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
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