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Nold AK, Wittayer M, Weber CE, Platten M, Gass A, Eisele P. Short-term brain atrophy evolution after initiation of immunotherapy in a real-world multiple sclerosis cohort. J Neuroimaging 2023; 33:904-908. [PMID: 37491626 DOI: 10.1111/jon.13146] [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: 07/11/2023] [Revised: 07/18/2023] [Accepted: 07/19/2023] [Indexed: 07/27/2023] Open
Abstract
BACKGROUND AND PURPOSE In multiple sclerosis (MS), brain atrophy measurements have emerged as an important biomarker reflecting neurodegeneration and disability progression. However, due to several potential confounders, investigation of brain atrophy in clinical routine and even in controlled clinical studies can be challenging. The aim of this study was to investigate the short-term dynamics of brain atrophy development after initiation of disease-modifying therapy (DMT) in a "real-world setting." METHODS In this retrospective study, we included MS patients starting DMT (natalizumab, fingolimod, dimethyl fumarate, or interferon-ß1a) or without DMT, availability of a baseline MRI, and two annual follow-up scans on the same MRI system. Two-timepoint percentage brain volume changes (PBVCs) were calculated. RESULTS Fifty-five MS patients (12 patients starting DMT with natalizumab, 7 fingolimod, 14 dimethyl fumarate, 11 interferon-ß1a, and 11 patients without DMT) were included. We found the highest PBVCs in the first 12 months after initiation of natalizumab treatment. Furthermore, the PBVCs in our study were very much comparable to the results observed by other groups, as well as for fingolimod, dimethyl fumarate, and interferon-ß1a. CONCLUSION We found PBVCs that are comparable to the results of previous studies, suggesting that brain atrophy, assessed on 3D MRI data sets acquired on the same 3T MRI, provides a robust MS biomarker.
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Affiliation(s)
- Ann-Kathrin Nold
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Mannheim, Germany
| | - Matthias Wittayer
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Mannheim, Germany
| | - Claudia E Weber
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Mannheim, Germany
| | - Michael Platten
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Mannheim, Germany
| | - Achim Gass
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Mannheim, Germany
| | - Philipp Eisele
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Mannheim, Germany
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Peterka M, Valis M, Soucek O, Krejsek J, Sobisek L, Sejkorova I, Klimova B, Stourac P, Pavelek Z, Novotny M. Interferon Beta-1a versus Glatiramer Acetate: Changes of Innate Immunity in a Group of Women with Multiple Sclerosis. Eur Neurol 2023; 86:334-340. [PMID: 37473734 PMCID: PMC10623392 DOI: 10.1159/000532022] [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: 01/28/2023] [Accepted: 07/03/2023] [Indexed: 07/22/2023]
Abstract
INTRODUCTION Multiple sclerosis (MS) is a chronic inflammatory autoimmune demyelinating disease that secondarily leads to axonal loss and associated brain atrophy. Disease-modifying drugs (DMDs) have previously been studied for their ability to affect specific immunity. This study investigates the effect of interferon beta-1a (INF) and glatiramer acetate (GA) administration on changes in innate immunity cell populations. METHODS Sixty Caucasian female patients with relapsing-remitting MS undergo blood sample testing for 15 blood parameters at baseline, 1 month, 3 months, and 6 months after treatment by GA or IFN (started as their first-line DMD). RESULTS A statistically significant difference in the change after 6 months was found in the parameter monocytes (relative count) in the group of patients treated with IFN. The median increase was 27.8%. Changes in many of the other 15 parameters studied were 10-20%. CONCLUSION Innate immunity has long been neglected in MS immunopathology. The findings suggest that IFN treatment may modulate the immune response in MS by affecting monocyte function and may provide insight into the mechanisms of action of IFN in MS.
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Affiliation(s)
- Marek Peterka
- Department of Neurology, Faculty of Medicine and University Hospital Plzen, Charles University in Prague, Plzen, Czech Republic
| | - Martin Valis
- Department of Neurology, Charles University, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Ondrej Soucek
- Department of Clinical Immunology and Allergology, Charles University, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Jan Krejsek
- Department of Clinical Immunology and Allergology, Charles University, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Lukáš Sobisek
- Department of Neurology, Charles University, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Ilona Sejkorova
- Department of Clinical Immunology and Allergology, Charles University, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Blanka Klimova
- Department of Neurology, Charles University, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Pavel Stourac
- Department of Neurology, Masaryk University, Faculty of Medicine and University Brno, Brno, Czech Republic
| | - Zbysek Pavelek
- Department of Neurology, Faculty of Medicine and University Hospital Plzen, Charles University in Prague, Plzen, Czech Republic
| | - Michal Novotny
- Department of Neurology, Charles University, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
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Zivadinov R, Bergsland N, Jakimovski D, Weinstock-Guttman B, Benedict RHB, Riolo J, Silva D, Dwyer MG. Thalamic atrophy measured by artificial intelligence in a multicentre clinical routine real-word study is associated with disability progression. J Neurol Neurosurg Psychiatry 2022; 93:jnnp-2022-329333. [PMID: 35902228 DOI: 10.1136/jnnp-2022-329333] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 06/28/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND The thalamus is a key grey matter structure, and sensitive marker of neurodegeneration in multiple sclerosis (MS). Previous reports indicated that thalamic volumetry using artificial intelligence (AI) on clinical-quality T2-fluid-attenuated inversion recovery (FLAIR) images alone is fast and reliable. OBJECTIVE To investigate whether thalamic volume (TV) loss, measured longitudinally by AI, is associated with disability progression (DP) in patients with MS, participating in a large multicentre study. METHODS The DeepGRAI (Deep Grey Rating via Artificial Intelligence) Registry is a multicentre (30 USA sites), longitudinal, observational, retrospective, real-word study of relapsing-remitting (RR) MS patients. Each centre enrolled between 30 and 35 patients. Brain MRI exams acquired at baseline and follow-up on 1.5T or 3T scanners with no prior standardisation were collected. TV measurement was performed on T2-FLAIR using DeepGRAI, and on two dimensional (D)-weighted and 3D T1-weighted images (WI) by using FMRIB's Integrated Registration and Segmentation Tool software where possible. RESULTS 1002 RRMS patients were followed for an average of 2.6 years. Longitudinal TV analysis was more readily available on T2-FLAIR (96.1%), compared with 2D-T1-WI (61.8%) or 3D-T1-WI (33.2%). Over the follow-up, DeepGRAI TV loss was significantly higher in patients with DP, compared with those with disability improvement (DI) or disease stability (-1.35% in DP, -0.87% in DI and -0.57% in Stable, p=0.045, Bonferroni-adjusted, age-adjusted and follow-up time-adjusted analysis of covariance). In a regression model including MRI scanner change, age, sex, disease duration and follow-up time, DP was associated with DeepGRAI TV loss (p=0.022). CONCLUSIONS Thalamic atrophy measured by AI in a multicentre clinical routine real-word setting is associated with DP over mid-term follow-up.
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Affiliation(s)
- Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
- Center for Biomedical Imaging at Clinical and Translational Science Institute, University of Buffalo, State University of New York, Buffalo, New York, USA
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, New Jersey, USA
| | - Ralph H B Benedict
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, New Jersey, USA
| | - Jon Riolo
- Bristol Myers Squibb, New Jersey, USA
| | | | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
- Center for Biomedical Imaging at Clinical and Translational Science Institute, University of Buffalo, State University of New York, Buffalo, New York, USA
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Nakamura K, Mokliatchouk O, Arnold DL, Yousry TA, Kappos L, Richert N, Ayling-Rouse K, Miller C, Fisher E. Effects of Dimethyl Fumarate on Brain Atrophy in Relapsing-Remitting Multiple Sclerosis: Pooled Analysis Phase 3 DEFINE and CONFIRM Studies. Front Neurol 2022; 13:809273. [PMID: 35370887 PMCID: PMC8973916 DOI: 10.3389/fneur.2022.809273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 01/31/2022] [Indexed: 11/13/2022] Open
Abstract
Objective In the pivotal DEFINE and CONFIRM trials for dimethyl fumarate (DMF), patterns of brain volume changes were different, potentially due to low sample sizes and because MRIs were analyzed at two different reading centers. We evaluated effects of DMF on brain volume change in patients with multiple sclerosis (MS) through reanalysis of pooled images from DEFINE/CONFIRM trials in one reading center. Methods MRIs from DEFINE/CONFIRM at weeks 0, 24, 48, and 96 from patients randomized to twice-daily DMF or placebo (PBO) were reanalyzed at the Cleveland Clinic to measure brain parenchymal fraction (BPF). To account for pseudoatrophy, brain volume estimates were re-baselined to calculate changes for weeks 48–96. Results Across studies, 301 and 314 patients receiving DMF and PBO, respectively, had analyzable MRIs. In weeks 0–48, mean ± SE percentage change in BPF was −0.44 ± 0.04 vs. −0.34 ± 0.04% in DMF vs. PBO, respectively, whereas in weeks 48–96, mean ± SE percentage change in BPF was −0.27 ± 0.03 vs. −0.41 ± 0.04% in DMF vs. PBO, respectively. The mixed-effect model for repeated measures showed similar results: in weeks 48–96, estimated change (95% confidence interval) in BPF was −0.0021 (−0.0027, −0.0016) for DMF vs. −0.0033 (−0.0039, −0.0028) for PBO (35.9% reduction; p = 0.0025). Conclusions The lower rate of whole brain volume loss with DMF in this pooled BPF analysis in the second year vs. PBO is consistent with its effects on relapses, disability, and MRI lesions. Brain volume changes in the first year may be explained by pseudoatrophy effects also described in other MS clinical trials.
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Affiliation(s)
- Kunio Nakamura
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States
| | | | - Douglas L. Arnold
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Tarek A. Yousry
- Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Institute of Neurology, London, United Kingdom
| | - Ludwig Kappos
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital and University of Basel, Basel, Switzerland
| | | | | | | | - Elizabeth Fisher
- Biogen, Cambridge, MA, United States
- *Correspondence: Elizabeth Fisher
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Wiendl H, Gold R, Berger T, Derfuss T, Linker R, Mäurer M, Aktas O, Baum K, Berghoff M, Bittner S, Chan A, Czaplinski A, Deisenhammer F, Di Pauli F, Du Pasquier R, Enzinger C, Fertl E, Gass A, Gehring K, Gobbi C, Goebels N, Guger M, Haghikia A, Hartung HP, Heidenreich F, Hoffmann O, Kallmann B, Kleinschnitz C, Klotz L, Leussink VI, Leutmezer F, Limmroth V, Lünemann JD, Lutterotti A, Meuth SG, Meyding-Lamadé U, Platten M, Rieckmann P, Schmidt S, Tumani H, Weber F, Weber MS, Zettl UK, Ziemssen T, Zipp F. Multiple Sclerosis Therapy Consensus Group (MSTCG): position statement on disease-modifying therapies for multiple sclerosis (white paper). Ther Adv Neurol Disord 2021; 14:17562864211039648. [PMID: 34422112 PMCID: PMC8377320 DOI: 10.1177/17562864211039648] [Citation(s) in RCA: 115] [Impact Index Per Article: 28.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 07/28/2021] [Indexed: 12/20/2022] Open
Abstract
Multiple sclerosis is a complex, autoimmune-mediated disease of the central nervous system characterized by inflammatory demyelination and axonal/neuronal damage. The approval of various disease-modifying therapies and our increased understanding of disease mechanisms and evolution in recent years have significantly changed the prognosis and course of the disease. This update of the Multiple Sclerosis Therapy Consensus Group treatment recommendation focuses on the most important recommendations for disease-modifying therapies of multiple sclerosis in 2021. Our recommendations are based on current scientific evidence and apply to those medications approved in wide parts of Europe, particularly German-speaking countries (Germany, Austria, and Switzerland).
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Affiliation(s)
- Heinz Wiendl
- Klinik für Neurologie mit Institut für Translationale Neurologie, Universitätsklinikum Münster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149 Münster
| | - Ralf Gold
- Neurologie, St. Josef-Hospital, Klinikum der Ruhr-Universität Bochum, Gudrunstraße 56, 44791 Bochum, Germany
| | - Thomas Berger
- Universitätsklinik für Neurologie, Medizinische Universität Wien, Wien, Austria
| | - Tobias Derfuss
- Neurologische Klinik und Poliklinik, Universitätsspital Basel, Basel, Switzerland
| | - Ralf Linker
- Klinik und Poliklinik für Neurologie, Universitätsklinikum Regensburg, Regensburg, Germany
| | - Mathias Mäurer
- Neurologie und Neurologische Frührehabilitation, Klinikum Würzburg Mitte gGmbH, Standort Juliusspital, Würzburg, Germany
| | - Orhan Aktas
- Neurologische Klinik, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany
| | - Karl Baum
- Neurologie, Klinik Hennigsdorf, Hennigsdorf, Germany
| | | | - Stefan Bittner
- Klinik für Neurologie, Universitätsmedizin der Johannes Gutenberg-Universität Mainz, Mainz, Germany
| | - Andrew Chan
- Neurologie, Inselspital, Universitätsspital Bern, Bern, Switzerland
| | | | | | | | | | - Christian Enzinger
- Universitätsklinik für Neurologie, Medizinische Universität Graz, Graz, Austria
| | - Elisabeth Fertl
- Wiener Gesundheitsverbund, Neurologische Abteilung, Wien, Austria
| | - Achim Gass
- Neurologische Klinik, Universitätsmedizin Mannheim/Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
| | - Klaus Gehring
- Berufsverband Deutscher Nervenärzte (BVDN), Neurozentrum am Klosterforst, Itzehoe, Germany
| | | | - Norbert Goebels
- Klinik für Neurologie, Universitätsklinikum Düsseldorf, Düsseldorf, Germany
| | - Michael Guger
- Klinik für Neurologie 2, Kepler Universitätsklinikum, Linz, Austria
| | | | - Hans-Peter Hartung
- Klinik für Neurologie, Medizinische Fakultät, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany; Klinik für Neurologie, Medizinische Universität Wien, Wien, Austria
| | - Fedor Heidenreich
- Diakovere Krankenhaus, Henriettenstift, Klinik für Neurologie und klinische Neurophysiologie, Hannover, Germany
| | - Olaf Hoffmann
- Klinik für Neurologie, Alexianer St. Josefs-Krankenhaus Potsdam, Potsdam, Germany; NeuroCure, Charité-Universitätsmedizin Berlin, Berlin, Germany; Medizinische Hochschule Brandenburg Theodor Fontane, Neuruppin, Germany
| | - Boris Kallmann
- Kallmann Neurologie, Multiple Sklerose Zentrum Bamberg, Bamberg, Germany
| | | | - Luisa Klotz
- Klinik für Neurologie mit Institut für Translationale Neurologie, Universitätsklinikum Münster, Münster, Germany
| | | | - Fritz Leutmezer
- Neurologie, Universitäts-Klinik für Neurologie Wien, Wien, Austria
| | - Volker Limmroth
- Klinik für Neurologie, Krankenhaus Köln-Merheim, Köln, Germany
| | - Jan D Lünemann
- Klinik für Neurologie mit Institut für Translationale Neurologie, Universitätsklinikum Münster, Münster, Germany
| | | | - Sven G Meuth
- Neurologische Klinik, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany
| | | | - Michael Platten
- Neurologische Klinik, Universitätsmedizin Mannheim/Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
| | - Peter Rieckmann
- Medical Park, Fachklinik für Neurologie, Zentrum für Klinische Neuroplastizität, Bischofswiesen, Germany
| | - Stephan Schmidt
- Neurologie, Gesundheitszentrum St. Johannes Hospital, Bonn, Germany
| | - Hayrettin Tumani
- Fachklinik für Neurologie Dietenbronn, Akademisches Krankenhaus der Universität Ulm, Ulm, Germany
| | - Frank Weber
- Neurologie, Sana Kliniken, Cham, Switzerland
| | - Martin S Weber
- Institut für Neuropathologie, Neurologische Klinik, Universitätsmedizin Göttingen, Göttingen, Germany
| | - Uwe K Zettl
- Klinik und Poliklinik für Neurologie, Zentrum für Nervenheilkunde, Universitätsmedizin Rostock, Rostock, Germany
| | - Tjalf Ziemssen
- Klinik und Poliklinik für Neurologie, Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Dresden, Germany
| | - Frauke Zipp
- Klinik und Poliklinik für Neurologie, Universitätsmedizin der Johannes Gutenberg-Universität Mainz, Langenbeckstraße 1, 55131 Mainz, Germany
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Barnett M, Bergsland N, Weinstock-Guttman B, Butzkueven H, Kalincik T, Desmond P, Gaillard F, van Pesch V, Ozakbas S, Rojas JI, Boz C, Altintas A, Wang C, Dwyer MG, Yang S, Jakimovski D, Kyle K, Ramasamy DP, Zivadinov R. Brain atrophy and lesion burden are associated with disability progression in a multiple sclerosis real-world dataset using only T2-FLAIR: The NeuroSTREAM MSBase study. NEUROIMAGE-CLINICAL 2021; 32:102802. [PMID: 34469848 PMCID: PMC8408519 DOI: 10.1016/j.nicl.2021.102802] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 07/28/2021] [Accepted: 08/18/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Methodological challenges limit the use of brain atrophy and lesion burden measures in the follow-up of multiple sclerosis (MS) patients on clinical routine datasets. OBJECTIVE To determine the feasibility of T2-FLAIR-only measures of lateral ventricular volume (LVV) and salient central lesion volume (SCLV), as markers of disability progression (DP) in MS. METHODS A total of 3,228 MS patients from 9 MSBase centers in 5 countries were enrolled. Of those, 2,875 (218 with clinically isolated syndrome, 2,231 with relapsing-remitting and 426 with progressive disease subtype) fulfilled inclusion and exclusion criteria. Patients were scanned on either 1.5 T or 3 T MRI scanners, and 5,750 brain scans were collected at index and on average after 42.3 months at post-index. Demographic and clinical data were collected from the MSBase registry. LVV and SCLV were measured on clinical routine T2-FLAIR images. RESULTS Longitudinal LVV and SCLV analyses were successful in 96% of the scans. 57% of patients had scanner-related changes over the follow-up. After correcting for age, sex, disease duration, disability, disease-modifying therapy and LVV at index, and follow-up time, MS patients with DP (n = 671) had significantly greater absolute LVV change compared to stable (n = 1,501) or disability improved (DI, n = 248) MS patients (2.0 mL vs. 1.4 mL vs. 1.1 mL, respectively, ANCOVA p < 0.001, post-hoc pair-wise DP vs. Stable p = 0.003; and DP vs. DI, p = 0.002). Similar ANCOVA model was also significant for SCLV (p = 0.03). CONCLUSIONS LVV-based atrophy and SCLV-based lesion outcomes are feasible on clinically acquired T2-FLAIR scans in a multicenter fashion and are associated with DP over mid-term.
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Affiliation(s)
- Michael Barnett
- Sydney Neuroimaging Analysis Centre, Camperdown, Sydney, Australia; Brain and Mind Centre, University of Sydney, Sydney, Australia.
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, NY, USA; IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Italy
| | - Bianca Weinstock-Guttman
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, NY, USA
| | | | - Tomas Kalincik
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Australia; MS Centre, The Royal Melbourne Hospital, University of Melbourne, Melbourne, Australia
| | - Patricia Desmond
- Department of Radiology, Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia
| | - Frank Gaillard
- Department of Radiology, Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia
| | | | | | | | - Cavit Boz
- KTU Medical Faculty Farabi Hospital, Trabzon, Turkey
| | - Ayse Altintas
- Koç University School of Medicine, Koç University Research Center for Translational Medicine (KUTTAM), İstanbul, Turkey
| | - Chenyu Wang
- Sydney Neuroimaging Analysis Centre, Camperdown, Sydney, Australia; Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, NY, USA; Center for Biomedical Imaging, Clinical Translational Science Institute, USA; University at Buffalo, NY, USA
| | - Suzie Yang
- Sydney Neuroimaging Analysis Centre, Camperdown, Sydney, Australia
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, NY, USA
| | - Kain Kyle
- Sydney Neuroimaging Analysis Centre, Camperdown, Sydney, Australia; Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Deepa P Ramasamy
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, NY, USA; Center for Biomedical Imaging, Clinical Translational Science Institute, USA; University at Buffalo, NY, USA
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Inojosa H, Proschmann U, Akgün K, Ziemssen T. Should We Use Clinical Tools to Identify Disease Progression? Front Neurol 2021; 11:628542. [PMID: 33551982 PMCID: PMC7859270 DOI: 10.3389/fneur.2020.628542] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 12/18/2020] [Indexed: 01/02/2023] Open
Abstract
The presence of disability progression in multiple sclerosis (MS) is an important hallmark for MS patients in the course of their disease. The transition from relapsing remitting (RRMS) to secondary progressive forms of the disease (SPMS) represents a significant change in their quality of life and perception of the disease. It could also be a therapeutic key for opportunities, where approaches different from those in the initial phases of the disease can be adopted. The characterization of structural biomarkers (e.g., magnetic resonance imaging or neurofilament light chain) has been proposed to differentiate between both phenotypes. However, there is no definite threshold between them. Whether the risk of clinical progression can be predicted by structural markers at early disease phases is still a focus of clinical research. However, several theories and pathological evidence suggest that both disease phenotypes are part of a continuum with common pathophysiological mechanisms. In this case, the clinical evaluation of the patients would play a preponderant role above destruction biomarkers for the early identification of disability progression and SPMS. For this purpose, the use of clinical tools beyond the Expanded Disability Status Scale (EDSS) should be considered. Besides established functional tests such as the Multiple Sclerosis Functional Composite (MSFC), patient's neurological history or digital resources may help neurologists in the decision-taking. In this article, we discuss arguments for the use of clinical markers in the detection of secondary progressive MS and the characterization of progressive disease activity.
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Affiliation(s)
- Hernan Inojosa
- Multiple Sclerosis Center, Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany
| | - Undine Proschmann
- Multiple Sclerosis Center, Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany
| | - Katja Akgün
- Multiple Sclerosis Center, Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany
| | - Tjalf Ziemssen
- Multiple Sclerosis Center, Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany
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8
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Pavelek Z, Angelucci F, Souček O, Krejsek J, Sobíšek L, Klímová B, Šarláková J, Halúsková S, Kuča K, Vališ M. Innate Immune System and Multiple Sclerosis. Granulocyte Numbers Are Reduced in Patients Affected by Relapsing-Remitting Multiple Sclerosis during the Remission Phase. J Clin Med 2020; 9:E1468. [PMID: 32422897 PMCID: PMC7290702 DOI: 10.3390/jcm9051468] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 05/11/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Multiple sclerosis (MS) is a neurodegenerative disease that affects the central nervous system. The cause of MS is still unknown, and the role of innate immunity is still poorly understood. OBJECTIVE The goal of this study was to understand whether, compared to healthy controls, the elements of innate immunity are altered in the blood of MS patients in the remitting phase. METHODS A total of 77 naïve MS patients and 50 healthy controls were included in this cohort study. Peripheral blood samples were collected and analyzed. All the calculations were performed with the statistical system R (r-project.org). RESULTS The results showed that MS patients had significantly lower relative representations of granulocytes than healthy controls, while the relative representations of monocytes remained unchanged. CD64- and PD-L1-positive granulocytes exhibited a nonsignificant decreasing trend, while granulocytes with other membrane markers remained noticeably unchanged. CONCLUSION The results of this study suggest that studies of the causes of MS and its treatment should also be focused on the elements of the innate immune response.
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Affiliation(s)
- Zbyšek Pavelek
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Sokolská 581, 500 05 Hradec Kralove, Czech Republic; (F.A.); (L.S.); (B.K.); (J.Š.); (S.H.); (M.V.)
| | - Francesco Angelucci
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Sokolská 581, 500 05 Hradec Kralove, Czech Republic; (F.A.); (L.S.); (B.K.); (J.Š.); (S.H.); (M.V.)
- Memory Clinic, Department of Neurology, 2nd Faculty of Medicine, Charles University and Motol University Hospital, V Úvalu 84, 150 06 Prague, Czech Republic
| | - Ondřej Souček
- Department of Clinical Immunology and Allergology, University Hospital Hradec Králové, Sokolská 581, 500 05 Hradec Kralove, Czech Republic; (O.S.); (J.K.)
| | - Jan Krejsek
- Department of Clinical Immunology and Allergology, University Hospital Hradec Králové, Sokolská 581, 500 05 Hradec Kralove, Czech Republic; (O.S.); (J.K.)
| | - Lukáš Sobíšek
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Sokolská 581, 500 05 Hradec Kralove, Czech Republic; (F.A.); (L.S.); (B.K.); (J.Š.); (S.H.); (M.V.)
| | - Blanka Klímová
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Sokolská 581, 500 05 Hradec Kralove, Czech Republic; (F.A.); (L.S.); (B.K.); (J.Š.); (S.H.); (M.V.)
| | - Jana Šarláková
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Sokolská 581, 500 05 Hradec Kralove, Czech Republic; (F.A.); (L.S.); (B.K.); (J.Š.); (S.H.); (M.V.)
| | - Simona Halúsková
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Sokolská 581, 500 05 Hradec Kralove, Czech Republic; (F.A.); (L.S.); (B.K.); (J.Š.); (S.H.); (M.V.)
| | - Kamil Kuča
- Department of Chemistry, Faculty of Science, University of Hradec Králové, Rokitanského 62, 500 03 Hradec Kralove, Czech Republic;
- Biomedical Research Center, University Hospital Hradec Kralove, Sokolská 581, 500 05 Hradec Kralove, Czech Republic
| | - Martin Vališ
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Sokolská 581, 500 05 Hradec Kralove, Czech Republic; (F.A.); (L.S.); (B.K.); (J.Š.); (S.H.); (M.V.)
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9
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Exercise as Medicine in Multiple Sclerosis—Time for a Paradigm Shift: Preventive, Symptomatic, and Disease-Modifying Aspects and Perspectives. Curr Neurol Neurosci Rep 2019; 19:88. [DOI: 10.1007/s11910-019-1002-3] [Citation(s) in RCA: 175] [Impact Index Per Article: 29.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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10
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Andorra M, Nakamura K, Lampert EJ, Pulido-Valdeolivas I, Zubizarreta I, Llufriu S, Martinez-Heras E, Sola-Valls N, Sepulveda M, Tercero-Uribe A, Blanco Y, Saiz A, Villoslada P, Martinez-Lapiscina EH. Assessing Biological and Methodological Aspects of Brain Volume Loss in Multiple Sclerosis. JAMA Neurol 2019; 75:1246-1255. [PMID: 29971335 DOI: 10.1001/jamaneurol.2018.1596] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Importance Before using brain volume loss (BVL) as a marker of therapeutic response in multiple sclerosis (MS), certain biological and methodological issues must be clarified. Objectives To assess the dynamics of BVL as MS progresses and to evaluate the repeatability and exchangeability of BVL estimates with Jacobian Integration (JI) and Functional Magnetic Resonance Imaging of the Brain (FMRIB) Software Library (FSL) (specifically, the Structural Image Evaluation, Using Normalisation, of Atrophy-Cross-Sectional [SIENA-X] tool or FMRIB's Integrated Registration and Segmentation Tool [FIRST]). Design, Setting, and Participants A cohort of patients who had either clinically isolated syndrome or MS was enrolled from February 2011 through October 2015. All underwent a series of annual magnetic resonance imaging (MRI) scans. Images from 2 cohorts of healthy volunteers were used to evaluate short-term repeatability of the MRI measurements (n = 34) and annual BVL (n = 20). Data analysis occurred from January to May 2017. Main Outcomes and Measures The goodness of fit of different models to the dynamics of BVL throughout the MS disease course was assessed. The short-term test-retest error was used as a measure of JI and FSL repeatability. The correlations (R2) of the changes quantified in the brain using JI and FSL, together with the accuracy of the annual BVL cutoffs to discriminate patients with MS from healthy volunteers, were used to measure compatibility of imaging methods. Results A total of 140 patients with clinically isolated syndrome or MS were enrolled, including 95 women (67.9%); the group had a median (interquartile range) age of 40.7 (33.6-48.1) years. Patients underwent 4 MRI scans with a median (interquartile range) interscan period of 364 (351-379) days. The 34 healthy volunteers (of whom 18 [53%] were women; median [IQR] age, 33.5 [26.2-42.5] years) and 20 healthy volunteers (of whom 10 [50%] were women; median [IQR] age, 33.0 [28.7-39.2] years) underwent 2 MRI scans within a median (IQR) of 24.5 (0.0-74.5) days and 384.5 (366.3-407.8) days for the short-term and long-term MRI follow-up, respectively. The BVL rates were higher in the first 5 years after MS onset (R2 = 0.65 for whole-brain volume change and R2 = 0.52 for gray matter volume change) with a direct association with steroids (β = 0.280; P = .02) and an inverse association with age at MS onset, particularly in the first 5 years (β = 0.015; P = .047). The reproducibility of FSL (SIENA) and JI was similar for whole-brain volume loss, while JI gave more precise, less biased estimates for specific brain regions than FSL (SIENA-X and FIRST). The correlation between whole-brain volume loss using JI and FSL was high (R2 = 0.92), but the same correlations were poor for specific brain regions. The area under curve of the whole-brain volume change to discriminate between patients with MS and healthy volunteers was similar, although the thresholds and accuracy index were distinct for JI and FSL. Conclusions and Relevance The proposed BVL threshold of less than 0.4% per year as a marker of therapeutic efficiency should be reconsidered because of the different dynamics of BVL as MS progresses and because of the limited reproducibility and variability of estimates using different imaging methods.
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Affiliation(s)
- Magí Andorra
- Center of Neuroimmunology Department of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Kunio Nakamura
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio
| | - Erika J Lampert
- Center of Neuroimmunology Department of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain.,Cleveland Clinic, Lerner College of Medicine, Cleveland, Ohio
| | - Irene Pulido-Valdeolivas
- Center of Neuroimmunology Department of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Irati Zubizarreta
- Center of Neuroimmunology Department of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Sara Llufriu
- Center of Neuroimmunology Department of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Eloy Martinez-Heras
- Center of Neuroimmunology Department of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Nuria Sola-Valls
- Center of Neuroimmunology Department of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - María Sepulveda
- Center of Neuroimmunology Department of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Ana Tercero-Uribe
- Center of Neuroimmunology Department of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Yolanda Blanco
- Center of Neuroimmunology Department of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Albert Saiz
- Center of Neuroimmunology Department of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Pablo Villoslada
- Center of Neuroimmunology Department of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain.,Now with Genentech, Inc, South San Francisco, California
| | - Elena H Martinez-Lapiscina
- Center of Neuroimmunology Department of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
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11
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Cognitive function in multiple sclerosis: A long-term look on the bright side. PLoS One 2019; 14:e0221784. [PMID: 31465498 PMCID: PMC6715181 DOI: 10.1371/journal.pone.0221784] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2019] [Accepted: 08/14/2019] [Indexed: 01/26/2023] Open
Abstract
Background Multiple sclerosis (MS) may lead to cognitive decline over-time. Objectives Characterize cognitive performance in MS patients with long disease duration treated with disease modifying drugs (DMD) in relation to disability and determine the prevalence of cognitive resilience. Methods Cognitive and functional outcomes were assessed in 1010 DMD-treated MS patients at least 10 years from onset. Cognitive performance was categorized as high, moderate or low, and neurological disability was classified according to the Expanded Disability Status Scale (EDSS) as mild, moderate or severe. Relationship between cognitive performance and disability was examined. Results After a mean disease duration of 19.6 (SD = 7.7) years, low cognitive performance was observed in 23.7% (N = 239), moderate performance in 42.7% (N = 431), and 33.7% (N = 340) had high cognitive performance, meeting the definition of cognitively resilient patients. Within the group of patients with low cognitive performance, severe disability was observed in 50.6% (121/239), while in the group of patients with high cognitive performance, mild disability was observed in 64.4% (219/340). Differences between the group of patients with high cognitive performance and severe disability (4.5%) and the group of patients with low cognitive performance and mild disability (5.0%) were not accounted for by DMD treatment duration. Conclusions The majority of DMD treated MS patients did not have cognitive decline that could impair their quality of life after disease of extended duration.
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12
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Ciolac D, Luessi F, Gonzalez-Escamilla G, Koirala N, Riedel C, Fleischer V, Bittner S, Krämer J, Meuth SG, Muthuraman M, Groppa S. Selective Brain Network and Cellular Responses Upon Dimethyl Fumarate Immunomodulation in Multiple Sclerosis. Front Immunol 2019; 10:1779. [PMID: 31417557 PMCID: PMC6682686 DOI: 10.3389/fimmu.2019.01779] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 07/15/2019] [Indexed: 11/13/2022] Open
Abstract
Background: Efficient personalized therapy paradigms are needed to modify the disease course and halt gray (GM) and white matter (WM) damage in patients with multiple sclerosis (MS). Presently, promising disease-modifying drugs show impressive efficiency, however, tailored markers of therapy responses are required. Here, we aimed to detect in a real-world setting patients with a more favorable brain network response and immune cell dynamics upon dimethyl fumarate (DMF) treatment. Methods: In a cohort of 78 MS patients we identified two thoroughly matched groups, based on age, disease duration, disability status and lesion volume, receiving DMF (n = 42) and NAT (n = 36) and followed them over 16 months. The rate of cortical atrophy and deep GM volumes were quantified. GM and WM network responses were characterized by brain modularization as a marker of regional and global structural alterations. In the DMF group, lymphocyte subsets were analyzed by flow cytometry and related to clinical and MRI parameters. Results: Sixty percent (25 patients) of the DMF and 36% (13 patients) of the NAT group had disease activity during the study period. The rate of cortical atrophy was higher in the DMF group (-2.4%) compared to NAT (-2.1%, p < 0.05) group. GM and WM network dynamics presented increased modularization in both groups. When dividing the DMF-treated cohort into patients free of disease activity (n = 17, DMFR) and patients with disease activity (n = 25, DMFNR) these groups differed significantly in CD8+ cell depletion counts (DMFR: 197.7 ± 97.1/μl; DMFNR: 298.4 ± 190.6/μl, p = 0.03) and also in cortical atrophy (DMFR: -1.7%; DMFNR: -3.2%, p = 0.01). DMFR presented reduced longitudinal GM and WM modularization and less atrophy as markers of preserved structural global network integrity in comparison to DMFNR and even NAT patients. Conclusions: NAT treatment contributes to a reduced rate of cortical atrophy compared to DMF therapy. However, patients under DMF treatment with a stronger CD8+ T cell depletion present a more favorable response in terms of cortical integrity and GM and WM network responses. Our findings may serve as basis for the development of personalized treatment paradigms.
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Affiliation(s)
- Dumitru Ciolac
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.,Department of Neurology, Institute of Emergency Medicine, Chisinau, Moldova.,Laboratory of Neurobiology and Medical Genetics, Nicolae Testemiţanu State University of Medicine and Pharmacy, Chisinau, Moldova
| | - Felix Luessi
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Gabriel Gonzalez-Escamilla
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Nabin Koirala
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | | | - Vinzenz Fleischer
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Stefan Bittner
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Julia Krämer
- Department of Neurology With Institute of Translational Neurology, University of Münster, Münster, Germany
| | - Sven G Meuth
- Department of Neurology With Institute of Translational Neurology, University of Münster, Münster, Germany
| | - Muthuraman Muthuraman
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Sergiu Groppa
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
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13
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Beadnall HN, Wang C, Van Hecke W, Ribbens A, Billiet T, Barnett MH. Comparing longitudinal brain atrophy measurement techniques in a real-world multiple sclerosis clinical practice cohort: towards clinical integration? Ther Adv Neurol Disord 2019; 12:1756286418823462. [PMID: 30719080 PMCID: PMC6348578 DOI: 10.1177/1756286418823462] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2018] [Accepted: 11/09/2018] [Indexed: 11/30/2022] Open
Abstract
Background: Whole brain atrophy (WBA) estimates in multiple sclerosis (MS) correlate more robustly with clinical disability than traditional, lesion-based metrics. We compare Structural Image Evaluation using Normalisation of Atrophy (SIENA) with the icobrain longitudinal pipeline (icobrain long), for assessment of longitudinal WBA in MS patients. Methods: Magnetic resonance imaging (MRI) scan pairs [1.05 (±0.15) year separation] from 102 MS patients were acquired on the same 3T scanner. Three-dimensional (3D) T1-weighted and two-dimensional (2D)/3D fluid-attenuated inversion-recovery sequences were analysed. Percentage brain volume change (PBVC) measurements were calculated using SIENA and icobrain long. Statistical correlation, agreement and consistency between methods was evaluated; MRI brain volumetric and clinical data were compared. The proportion of the cohort with annualized brain volume loss (aBVL) rates ⩾ 0.4%, ⩾0.8% and ⩾0.94% were calculated. No evidence of disease activity (NEDA) 3 and NEDA 4 were also determined. Results: Mean annualized PBVC was −0.59 (±0.65)% and −0.64 (±0.73)% as measured by icobrain long and SIENA. icobrain long and SIENA-measured annualized PBVC correlated strongly, r = 0.805 (p < 0.001), and the agreement [intraclass correlation coefficient (ICC) 0.800] and consistency (ICC 0.801) were excellent. Weak correlations were found between MRI metrics and Expanded Disability Status Scale scores. Over half the cohort had aBVL ⩾ 0.4%, approximately a third ⩾0.8%, and aBVL was ⩾0.94% in 28.43% and 23.53% using SIENA and icobrain long, respectively. NEDA 3 was achieved in 35.29%, and NEDA 4 in 15.69% and 16.67% of the cohort, using SIENA and icobrain long to derive PBVC, respectively. Discussion: icobrain long quantified longitudinal WBA with a strong level of statistical agreement and consistency compared to SIENA in this real-world MS population. Utility of WBA measures in individuals remains challenging, but show promise as biomarkers of neurodegeneration in MS clinical practice. Optimization of MRI analysis algorithms/techniques are needed to allow reliable use in individuals. Increased levels of automation will enable more rapid clinical translation.
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Affiliation(s)
- H N Beadnall
- Brain and Mind Centre, The University of Sydney, Sydney, Australia Royal Prince Alfred Hospital, Sydney, Australia
| | - C Wang
- Brain and Mind Centre, The University of Sydney, Sydney, Australia Sydney Neuroimaging Analysis Centre, Sydney, Australia
| | | | | | | | - M H Barnett
- Royal Prince Alfred Hospital, Sydney, Australia Sydney Neuroimaging Analysis Centre, Sydney, Australia
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14
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Ghione E, Bergsland N, Dwyer MG, Hagemeier J, Jakimovski D, Paunkoski I, Ramasamy DP, Silva D, Carl E, Hojnacki D, Kolb C, Weinstock-Guttman B, Zivadinov R. Brain Atrophy Is Associated with Disability Progression in Patients with MS followed in a Clinical Routine. AJNR Am J Neuroradiol 2018; 39:2237-2242. [PMID: 30467212 DOI: 10.3174/ajnr.a5876] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Accepted: 09/08/2018] [Indexed: 12/30/2022]
Abstract
BACKGROUND AND PURPOSE The assessment of brain atrophy in a clinical routine is not performed routinely in multiple sclerosis. Our aim was to determine the feasibility of brain atrophy measurement and its association with disability progression in patients with MS followed in a clinical routine for 5 years. MATERIALS AND METHODS A total of 1815 subjects, 1514 with MS and 137 with clinically isolated syndrome and 164 healthy individuals, were collected retrospectively. Of 11,794 MR imaging brain scans included in the analysis, 8423 MRIs were performed on a 3T, and 3371 MRIs, on a 1.5T scanner. All patients underwent 3D T1WI and T2-FLAIR examinations at all time points of the study. Whole-brain volume changes were measured by percentage brain volume change/normalized brain volume change using SIENA/SIENAX on 3D T1WI and percentage lateral ventricle volume change using NeuroSTREAM on T2-FLAIR. RESULTS Percentage brain volume change failed in 36.7% of the subjects; percentage normalized brain volume change, in 19.2%; and percentage lateral ventricle volume change, in 3.3% because of protocol changes, poor scan quality, artifacts, and anatomic variations. Annualized brain volume changes were significantly different between those with MS and healthy individuals for percentage brain volume change (P < .001), percentage normalized brain volume change (P = .002), and percentage lateral ventricle volume change (P = .01). In patients with MS, mixed-effects model analysis showed that disability progression was associated with a 21.9% annualized decrease in percentage brain volume change (P < .001) and normalized brain volume (P = .002) and a 33% increase in lateral ventricle volume (P = .004). CONCLUSIONS All brain volume measures differentiated MS and healthy individuals and were associated with disability progression, but the lateral ventricle volume assessment was the most feasible.
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Affiliation(s)
- E Ghione
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - N Bergsland
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - M G Dwyer
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center.,Center for Biomedical Imaging at Clinical Translational Research Center (M.G.D., R.Z.), State University of New York, Buffalo, New York
| | - J Hagemeier
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - D Jakimovski
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - I Paunkoski
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - D P Ramasamy
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - D Silva
- Novartis Pharmaceuticals AG (D.S.), Basel, Switzerland
| | - E Carl
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - D Hojnacki
- Jacobs Comprehensive MS Treatment and Research Center (D.H., C.K., B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - C Kolb
- Jacobs Comprehensive MS Treatment and Research Center (D.H., C.K., B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - B Weinstock-Guttman
- Jacobs Comprehensive MS Treatment and Research Center (D.H., C.K., B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - R Zivadinov
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center .,Center for Biomedical Imaging at Clinical Translational Research Center (M.G.D., R.Z.), State University of New York, Buffalo, New York
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15
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Meltzer E, Prasad S. Updates and Controversies in the Management of Acute Optic Neuritis. Asia Pac J Ophthalmol (Phila) 2018; 7:251-256. [PMID: 29667789 DOI: 10.22608/apo.2018108] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Optic neuritis remains a common diagnosis with controversial management. Although typical optic neuritis is often associated with "good" recovery of visual acuity, patients are often left with persistent impairments of contrast sensitivity, color vision, and visual field. These permanent visual deficits correlate with structural injury to the anterior visual pathway and are closely linked to visual quality of life. High dose corticosteroids are commonly used for patients with acute optic neuritis. However, even several decades after the initial clinical trials, there remains significant controversy regarding the efficacy and utility of this treatment. There is a need for more effective treatments, and many new immunomodulatory and neuroprotective agents have been investigated recently. Atypical optic neuritis, such as that seen with neuromyelitis optica spectrum disorder, often requires more aggressive initial treatment. Thus, it is important for clinicians to have a framework for rapid diagnosis and triage of patients who present with typical or atypical optic neuritis. Lastly, optic neuritis is associated with an elevated long-term risk of developing multiple sclerosis. Some patients may benefit from initiation of medications targeting multiple sclerosis at the time of initial presentation of optic neuritis. Appropriate identification and treatment of patients at highest risk of developing multiple sclerosis may help impact their disease course, while limiting exposure to potential adverse effects in patients who are at lower risk and do not require disease-modifying treatment.
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Affiliation(s)
- Ethan Meltzer
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Sashank Prasad
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
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16
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Abstract
Since its technical development in the early 1980s, magnetic resonance imaging (MRI) has quickly been adopted as an essential tool in supporting the diagnosis, longitudinal monitoring, evaluation of therapeutic response, and scientific investigations in multiple sclerosis (MS). The clinical usage of MRI has increased in parallel with technical innovations in the technique itself; the widespread adoption of clinically routine MRI at 1.5T has allowed sensitive qualitative and quantitative assessments of macroscopic central nervous system (CNS) inflammatory demyelinating lesions and tissue atrophy. However, conventional MRI lesion measures lack specificity for the underlying MS pathology and only weakly correlate with clinical status. Higher field strength units and newer, advanced MRI techniques offer increased sensitivity and specificity in the detection of disease activity and disease severity. This review summarizes the current status and future prospects regarding the role of MRI in the characterization of MS-related brain and spinal cord involvement.
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Affiliation(s)
- Christopher C Hemond
- Laboratory for Neuroimaging Research, Partners Multiple Sclerosis Center, Ann Romney Center for Neurologic Diseases, Departments of Neurology and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115
| | - Rohit Bakshi
- Laboratory for Neuroimaging Research, Partners Multiple Sclerosis Center, Ann Romney Center for Neurologic Diseases, Departments of Neurology and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115
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17
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Sinnecker T, Granziera C, Wuerfel J, Schlaeger R. Future Brain and Spinal Cord Volumetric Imaging in the Clinic for Monitoring Treatment Response in MS. Curr Treat Options Neurol 2018; 20:17. [PMID: 29679165 DOI: 10.1007/s11940-018-0504-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
PURPOSE OF REVIEW Volumetric analysis of brain imaging has emerged as a standard approach used in clinical research, e.g., in the field of multiple sclerosis (MS), but its application in individual disease course monitoring is still hampered by biological and technical limitations. This review summarizes novel developments in volumetric imaging on the road towards clinical application to eventually monitor treatment response in patients with MS. RECENT FINDINGS In addition to the assessment of whole-brain volume changes, recent work was focused on the volumetry of specific compartments and substructures of the central nervous system (CNS) in MS. This included volumetric imaging of the deep brain structures and of the spinal cord white and gray matter. Volume changes of the latter indeed independently correlate with clinical outcome measures especially in progressive MS. Ultrahigh field MRI and quantitative MRI added to this trend by providing a better visualization of small compartments on highly resolving MR images as well as microstructural information. New developments in volumetric imaging have the potential to improve sensitivity as well as specificity in detecting and hence monitoring disease-related CNS volume changes in MS.
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Affiliation(s)
- Tim Sinnecker
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland
- Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
- Medical Image Analysis Center Basel AG, Basel, Switzerland
- NeuroCure Clinical Research Center, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Cristina Granziera
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland
- Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center Basel AG, Basel, Switzerland
- NeuroCure Clinical Research Center, Charité Universitätsmedizin Berlin, Berlin, Germany
- Berlin Ultrahigh Field Facility, Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Regina Schlaeger
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland.
- Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.
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Chu R, Hurwitz S, Tauhid S, Bakshi R. Automated segmentation of cerebral deep gray matter from MRI scans: effect of field strength on sensitivity and reliability. BMC Neurol 2017; 17:172. [PMID: 28874119 PMCID: PMC5584325 DOI: 10.1186/s12883-017-0949-4] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2017] [Accepted: 08/23/2017] [Indexed: 11/30/2022] Open
Abstract
Background The cerebral subcortical deep gray matter nuclei (DGM) are a common, early, and clinically-relevant site of atrophy in multiple sclerosis (MS). Robust and reliable DGM segmentation could prove useful to evaluate putative neuroprotective MS therapies. The objective of the study was to compare the sensitivity and reliability of DGM volumes obtained from 1.5T vs. 3T MRI. Methods Fourteen patients with MS [age (mean, range) 50.2 (32.0–60.8) years, disease duration 18.4 (8.2–35.5) years, Expanded Disability Status Scale score 3.1 (0–6), median 3.0] and 15 normal controls (NC) underwent brain 3D T1-weighted paired scan-rescans at 1.5T and 3T. DGM (caudate, thalamus, globus pallidus, and putamen) segmentation was obtained by the fully automated FSL-FIRST pipeline. Both raw and normalized volumes were derived. Results DGM volumes were generally higher at 3T vs. 1.5T in both groups. For raw volumes, 3T showed slightly better sensitivity (thalamus: p = 0.02; caudate: p = 0.10; putamen: p = 0.02; globus pallidus: p = 0.0004; total DGM: p = 0.01) than 1.5T (thalamus: p = 0.05; caudate: p = 0.09; putamen: p = 0.03; globus pallidus: p = 0.0006; total DGM: p = 0.02) for detecting DGM atrophy in MS vs. NC. For normalized volumes, 3T but not 1.5T detected atrophy in the globus pallidus in the MS group. Across all subjects, scan-rescan reliability was generally very high for both platforms, showing slightly higher reliability for some DGM volumes at 3T. Raw volumes showed higher reliability than normalized volumes. Raw DGM volume showed higher reliability than the individual structures. Conclusions These results suggest somewhat higher sensitivity and reliability of DGM volumes obtained from 3T vs. 1.5T MRI. Further studies should assess the role of this 3T pipeline in tracking potential MS neurotherapeutic effects.
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Affiliation(s)
- Renxin Chu
- Laboratory for Neuroimaging Research, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd, Mailbox 9002L, Boston, MA, 02115, USA.,Departments of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Shelley Hurwitz
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Shahamat Tauhid
- Laboratory for Neuroimaging Research, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd, Mailbox 9002L, Boston, MA, 02115, USA.,Departments of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Rohit Bakshi
- Laboratory for Neuroimaging Research, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd, Mailbox 9002L, Boston, MA, 02115, USA. .,Departments of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. .,Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. .,Partners MS Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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Button J, Al-Louzi O, Lang A, Bhargava P, Newsome SD, Frohman T, Balcer LJ, Frohman EM, Prince J, Calabresi PA, Saidha S. Disease-modifying therapies modulate retinal atrophy in multiple sclerosis: A retrospective study. Neurology 2017; 88:525-532. [PMID: 28077493 DOI: 10.1212/wnl.0000000000003582] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Accepted: 11/10/2016] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVE To retrospectively investigate whether disease-modifying therapies (DMTs) exert differential effects on rates of retinal atrophy in relapsing-remitting multiple sclerosis (RRMS), as assessed using optical coherence tomography (OCT). METHODS A total of 402 patients with RRMS followed at the Johns Hopkins MS Center who underwent Cirrus-HD OCT were assessed for eligibility. Inclusion criteria included at least 1 year of OCT follow-up and adherence to a single DMT during the period of follow-up. Combined thickness of the ganglion cell + inner plexiform (GCIP) and other retinal layers was computed utilizing automated macular segmentation. Retinal thickness changes were analyzed using mixed-effects linear regression. RESULTS The effects of glatiramer acetate (GA; n = 48), natalizumab (NAT; n = 46), and interferon-β-1a subcutaneously (IFNSC; n = 35) and intramuscularly (IFNIM; n = 28) were assessed. Baseline analyses revealed no significant differences between groups in terms of age, sex, optic neuritis history, or follow-up duration. During follow-up, relative to NAT-treated patients, IFNSC- and GA-treated patients exhibited 0.37 μm/y (p < 0.001) and 0.14 μm/y (p = 0.035) faster rates of GCIP thinning, respectively, adjusting for the interval between initiation of DMT and OCT monitoring (gap time), age, sex, relapses, and disease duration. In the IFNSC group, GCIP thinning was 1.53 μm/y faster during the first year of therapy vs during the time interval afterwards (p < 0.001). CONCLUSIONS Rates of GCIP atrophy in patients with RRMS vary according to DMT utilization. Our findings support OCT for monitoring neurodegenerative treatment effects in the retina, an easily accessible tissue, and as a practical outcome measure in RRMS clinical trials.
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Affiliation(s)
- Julia Button
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Omar Al-Louzi
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Andrew Lang
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Pavan Bhargava
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Scott D Newsome
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Teresa Frohman
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Laura J Balcer
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Elliot M Frohman
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Jerry Prince
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Peter A Calabresi
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Shiv Saidha
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York.
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Singhal T, Tauhid S, Hurwitz S, Neema M, Bakshi R. The Effect of Glatiramer Acetate on Spinal Cord Volume in Relapsing-Remitting Multiple Sclerosis. J Neuroimaging 2017; 27:33-36. [PMID: 27466943 PMCID: PMC5248648 DOI: 10.1111/jon.12378] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Accepted: 06/27/2016] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Spinal cord atrophy occurs early in the multiple sclerosis (MS) disease course, is closely related to physical disability, and is a putative neuroprotective therapeutic outcome measure. OBJECTIVE This pilot study explored glatiramer acetate (GA)'s effect on spinal cord volume in patients with relapsing-remitting MS (RRMS). METHODS Fifteen patients receiving daily subcutaneous GA were prospectively followed. At baseline, age was 43.6 ± 7.4 years, Expanded Disability Status Scale (EDSS) score was 1.4 ± 1.5, timed 25-foot walk (T25FW) was 4.7 ± 1.1 seconds, and time on GA was 2.1 ± 3.1 years. Healthy controls (n = 10) with similar age and sex to the patients were also enrolled. The spinal cord was imaged at baseline and one year later with 3T magnetic resonance imaging. An active surface method measured the C1-C7 spinal cord volume from which we calculated the normalized area. RESULTS The spinal cord area showed no significant change in the MS group over one year (P = .19). Furthermore, the change in the spinal cord area did not differ significantly between the MS and control groups over one year (P = .26). In the MS group, the EDSS score (P = .44) and T25FW (P = .92) did not change significantly on-study. CONCLUSION In this pilot study of RRMS, GA therapy was not associated with any ongoing spinal cord atrophy or any difference in the one-year rate of spinal cord area change versus healthy controls. These results paralleled the lack of clinical worsening and may reflect a treatment effect of GA. Further studies are needed to confirm these preliminary findings.
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Affiliation(s)
- Tarun Singhal
- Departments of NeurologyBrigham and Women's Hospital, Harvard Medical SchoolBostonMAUSA
- Laboratory for Neuroimaging ResearchBrigham and Women's Hospital, Harvard Medical SchoolBostonMAUSA
- Partners MS CenterBrigham and Women's Hospital, Harvard Medical SchoolBostonMAUSA
| | - Shahamat Tauhid
- Departments of NeurologyBrigham and Women's Hospital, Harvard Medical SchoolBostonMAUSA
- Laboratory for Neuroimaging ResearchBrigham and Women's Hospital, Harvard Medical SchoolBostonMAUSA
| | - Shelley Hurwitz
- Departments of MedicineBrigham and Women's Hospital, Harvard Medical SchoolBostonMAUSA
| | - Mohit Neema
- Departments of NeurologyBrigham and Women's Hospital, Harvard Medical SchoolBostonMAUSA
- Laboratory for Neuroimaging ResearchBrigham and Women's Hospital, Harvard Medical SchoolBostonMAUSA
| | - Rohit Bakshi
- Departments of NeurologyBrigham and Women's Hospital, Harvard Medical SchoolBostonMAUSA
- Departments of RadiologyBrigham and Women's Hospital, Harvard Medical SchoolBostonMAUSA
- Laboratory for Neuroimaging ResearchBrigham and Women's Hospital, Harvard Medical SchoolBostonMAUSA
- Partners MS CenterBrigham and Women's Hospital, Harvard Medical SchoolBostonMAUSA
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Abstract
Due to the heterogeneous nature of the disease, it is a challenge to capture disease activity of multiple sclerosis (MS) in a reliable and valid way. Therefore, it can be difficult to assess the true efficacy of interventions in clinical trials. In phase III trials in MS, the traditionally used primary clinical outcome measures are the Expanded Disability Status Scale and the relapse rate. Secondary outcome measures in these trials are the number or volume of T2 hyperintense lesions and gadolinium-enhancing T1 lesions on magnetic resonance imaging (MRI) of the brain. These secondary outcome measures are often primary outcome measures in phase II trials in MS. Despite several limitations, the traditional clinical measures are still the mainstay for assessing treatment efficacy. Newer and potentially valuable outcome measures increasingly used or explored in MS trials are, clinically, the MS Functional Composite and patient-reported outcome measures, and on MRI, brain atrophy and the formation of persisting black holes. Several limitations of these measures have been addressed and further improvements will probably be proposed. Major improvements are the coverage of additional functional domains such as cognitive functioning and assessment of the ability to carry out activities of daily living. The development of multidimensional measures is promising because these measures have the potential to cover the full extent of MS activity and progression. In this review, we provide an overview of the historical background and recent developments of outcome measures in MS trials. We discuss the advantages and limitations of various measures, including newer assessments such as optical coherence tomography, biomarkers in body fluids and the concept of 'no evidence of disease activity'.
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Affiliation(s)
- Caspar E. P. van Munster
- Department of Neurology, Amsterdam Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, De Boelelaan 1117, 1081 Amsterdam, The Netherlands
| | - Bernard M. J. Uitdehaag
- Department of Neurology, Amsterdam Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, De Boelelaan 1117, 1081 Amsterdam, The Netherlands
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Zivadinov R, Khan N, Medin J, Christoffersen P, Price J, Korn JR, Bonzani I, Dwyer MG, Bergsland N, Carl E, Silva D, Weinstock-Guttman B. An Observational Study to Assess Brain MRI Change and Disease Progression in Multiple Sclerosis Clinical Practice-The MS-MRIUS Study. J Neuroimaging 2016; 27:339-347. [PMID: 27918139 PMCID: PMC5434824 DOI: 10.1111/jon.12411] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Revised: 10/05/2016] [Accepted: 10/29/2016] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND & PURPOSE To describe methodology, interim baseline, and longitudinal magnetic resonance imaging (MRI) acquisition parameter characteristics of the multiple sclerosis clinical outcome and MRI in the United States (MS‐MRIUS). MATERIAL & METHODS The MS‐MRIUS is an ongoing longitudinal and retrospective study of MS patients on fingolimod. Clinical and brain MRI image scan data were collected from 600 patients across 33 MS centers in the United States. MRI brain outcomes included change in whole‐brain volume, lateral ventricle volume, T2‐ and T1‐lesion volumes, and new/enlarging T2 and gadolinium‐enhancing lesions. RESULTS Interim baseline and longitudinal MRI acquisition parameters results are presented for 252 patients. Mean age was 44 years and 81% were female. Forty percent of scans had 3‐dimensional (3D) T1 sequence in the preindex period, increasing to 50% in the postindex period. Use of 2‐dimensional (2D) T1 sequence decreased over time from 85% in the preindex period to 65% in the postindex. About 95% of the scans with FLAIR and 2D T1‐WI were considered acceptable or good quality compared to 99–100% with 3D T1‐WI. There were notable changes in MRI hardware, software, and coil (39.5% in preindex to index and 50% in index to postindex). MRI sequence parameters (orientation, thickness, or protocol) differed for 36%, 29%, and 20% of index/postindex scans for FLAIR, 2D T1‐WI, and 3D T1‐WI, respectively. CONCLUSIONS The MS‐MRIUS study linked the clinical and brain MRI outcomes into an integrated database to create a cohort of fingolimod patients in real‐world practice. Variability was observed in MRI acquisition protocols overtime.
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Affiliation(s)
- Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,MR Imaging Clinical Translational Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | | | | | | | | | | | | | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,IRCCS "S.Maria Nascente", Don Gnocchi Foundation, Milan, Italy
| | - Ellen Carl
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Diego Silva
- Novartis Pharmaceuticals AG, Basel, Switzerland
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
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Serum Compounds of Energy Metabolism Impairment Are Related to Disability, Disease Course and Neuroimaging in Multiple Sclerosis. Mol Neurobiol 2016; 54:7520-7533. [DOI: 10.1007/s12035-016-0257-9] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Accepted: 10/24/2016] [Indexed: 12/15/2022]
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Moccia M, Palladino R, Carotenuto A, Russo CV, Triassi M, Lanzillo R, Brescia Morra V. Predictors of long-term interferon discontinuation in newly diagnosed relapsing multiple sclerosis. Mult Scler Relat Disord 2016; 10:90-96. [DOI: 10.1016/j.msard.2016.09.011] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Revised: 09/25/2016] [Accepted: 09/27/2016] [Indexed: 01/17/2023]
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Khan O, Rieckmann P, Boyko A, Selmaj K, Ashtamker N, Davis MD, Kolodny S, Zivadinov R. Efficacy and safety of a three-times-weekly dosing regimen of glatiramer acetate in relapsing-remitting multiple sclerosis patients: 3-year results of the Glatiramer Acetate Low-Frequency Administration open-label extension study. Mult Scler 2016; 23:818-829. [PMID: 27503905 DOI: 10.1177/1352458516664033] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND The 1-year placebo-controlled (PC) phase of the Glatiramer Acetate Low-Frequency Administration (GALA) study showed that glatiramer acetate 40 mg/mL three times weekly (GA40) significantly reduced annualized relapse rate (ARR) and magnetic resonance imaging (MRI) activity in patients with relapsing-remitting multiple sclerosis. Patients completing the PC phase were invited to an open-label (OL) extension. OBJECTIVE To evaluate the effects of early start (ES) and delayed start (DS) of GA40 over 3 years. METHODS A total of 97.2% of patients completing the PC phase received GA40 in the OL extension. ES ( n = 943) patients received GA40 throughout; DS ( n = 461) patients received placebo during the PC phase and GA40 during the OL phase. Relapse, MRI, disease progression, and safety were evaluated. RESULTS A total of 1041 patients completed 3 years of follow-up. During the OL phase, ES and DS patients showed comparable ARRs (0.20-0.22) and similar numbers of gadolinium-enhancing T1 ( p = 0.49) and new or enlarging T2 lesions ( p = 0.51) at Year 3. ES patients showed significantly smaller changes in gray matter volume than DS patients from Months 12 to 36 (mean difference, 0.371%; p = 0.015), with similar trend in whole-brain volume ( p = 0.080). Adverse events were mild, consistent with the well-established glatiramer acetate (GA) safety profile. CONCLUSION GA40 conferred treatment benefit over 3 years: sustained low ARR and lesion activity and favorable safety.
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Affiliation(s)
- Omar Khan
- The Sastry Foundation Advanced Imaging Laboratory & Multiple Sclerosis Center, Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Peter Rieckmann
- Department of Neurology, Bamberg Academic Hospital, University of Erlangen, Bamberg, Germany
| | - Alexey Boyko
- Department of Neurology, Neurosurgery and Medical Genetic of the Pirogov's Russian National Research Medical University and MS Clinic at the Usupov's Hospital, Moscow, Russia
| | - Krzysztof Selmaj
- Department of Neurology, Medical University of Łódź, Łódź, Poland
| | | | | | | | - Robert Zivadinov
- Department of Neurology, School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
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Yokoyama K, Hattori N. Immunomodulatory effects of glatiramer acetate as they relate to stage-specific immune dysregulation in multiple sclerosis. Nihon Yakurigaku Zasshi 2016; 148:105-20. [PMID: 27478050 DOI: 10.1254/fpj.148.105] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Zivadinov R, Dwyer MG, Bergsland N. Brain atrophy measurements should be used to guide therapy monitoring in MS - YES. Mult Scler 2016; 22:1522-1524. [PMID: 27335098 DOI: 10.1177/1352458516649253] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Affiliation(s)
- Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA/MR Imaging Clinical and Translational Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA/Magnetic Resonance Laboratory, IRCCS Don Gnocchi Foundation, Milan, Italy
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Zivadinov R, Jakimovski D, Gandhi S, Ahmed R, Dwyer MG, Horakova D, Weinstock-Guttman B, Benedict RRH, Vaneckova M, Barnett M, Bergsland N. Clinical relevance of brain atrophy assessment in multiple sclerosis. Implications for its use in a clinical routine. Expert Rev Neurother 2016; 16:777-93. [PMID: 27105209 DOI: 10.1080/14737175.2016.1181543] [Citation(s) in RCA: 112] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
INTRODUCTION Brain atrophy measurement in multiple sclerosis (MS) has become an important outcome for determining patients at risk for developing physical and cognitive disability. AREAS COVERED In this article, we discuss the methodological issues related to using this MRI metric routinely, in a clinical setting. Understanding trajectories of annualized whole brain, gray and white matter, thalamic volume loss, and enlargement of ventricular space in specific MS phenotypes is becoming increasingly important. Evidence is mounting that disease-modifying treatments exert a positive effect on slowing brain atrophy progression in MS. Expert Commentary: While there is a need to translate measurement of brain atrophy to clinical routine at the individual patient level, there are still a number of challenges to be met before this can actually happen, including how to account for biological confounding factors and pseudoatrophy, standardize acquisition and analyses parameters, which can influence the accuracy of the assessments.
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Affiliation(s)
- Robert Zivadinov
- a Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA.,b MR Imaging Clinical Translational Research Center, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA
| | - Dejan Jakimovski
- a Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA
| | - Sirin Gandhi
- a Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA
| | - Rahil Ahmed
- a Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA
| | - Michael G Dwyer
- a Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA
| | - Dana Horakova
- c Department of Neurology and Center of Clinical Neuroscience , Charles University in Prague, First Faculty of Medicine and General University Hospital , Prague , Czech Republic
| | - Bianca Weinstock-Guttman
- d Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA
| | - Ralph R H Benedict
- d Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA
| | - Manuela Vaneckova
- e Department of Radiology, First Faculty of Medicine and General University Hospital , Charles University , Prague , Czech Republic
| | - Michael Barnett
- f Sydney Neuroimaging Analysis Centre; Brain & Mind Centre , University of Sydney , Sydney , Australia
| | - Niels Bergsland
- a Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA.,g IRCCS 'S.Maria Nascente' , Don Gnocchi Foundation , Milan , Italy
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Koudriavtseva T, Mainero C. Brain Atrophy as a Measure of Neuroprotective Drug Effects in Multiple Sclerosis: Influence of Inflammation. Front Hum Neurosci 2016; 10:226. [PMID: 27242489 PMCID: PMC4865512 DOI: 10.3389/fnhum.2016.00226] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Accepted: 04/29/2016] [Indexed: 11/13/2022] Open
Affiliation(s)
- Tatiana Koudriavtseva
- Multiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, University of Rome Tor Vergata Rome, Italy
| | - Caterina Mainero
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General HospitalBoston, MA, USA; Department of Radiology, Harvard Medical SchoolBoston, MA, USA
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Kim G, Tauhid S, Dupuy SL, Tummala S, Khalid F, Healy BC, Bakshi R. An MRI-defined measure of cerebral lesion severity to assess therapeutic effects in multiple sclerosis. J Neurol 2016; 263:531-8. [PMID: 26754005 PMCID: PMC4785194 DOI: 10.1007/s00415-015-8009-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2015] [Revised: 12/22/2015] [Accepted: 12/23/2015] [Indexed: 12/18/2022]
Abstract
Assess the sensitivity of the Magnetic Resonance Disease Severity Scale (MRDSS), based on cerebral lesions and atrophy, for treatment monitoring of glatiramer acetate (GA) in relapsing-remitting multiple sclerosis (MS). This retrospective non-randomized pilot study included patients who started daily GA [n = 23, age (median, range) 41 (26.2, 53.1) years, Expanded Disability Status Scale (EDSS) score 1.0 (0, 3.5)], or received no disease-modifying therapy (noDMT) [n = 21, age 44.8 (28.2, 55.4), EDSS 0 (0, 2.5)] for 2 years. MRDSS was the sum of z-scores (normalized to a reference sample) of T2 hyperintense lesion volume (T2LV), the ratio of T1 hypointense LV to T2LV (T1/T2), and brain parenchymal fraction (BPF) multiplied by negative 1. The two groups were compared by Wilcoxon rank sum tests; within group change was assessed by Wilcoxon signed rank tests. Glatiramer acetate subjects had less progression than noDMT on T1/T2 [(median z-score change (range), 0 (−1.07, 1.20) vs. 0.41 (−0.30, 2.51), p = 0.003)] and MRDSS [0.01 (−1.33, 1.28) vs. 0.46 (−1.57, 2.46), p = 0.01]; however, not on BPF [0.12 (−0.18, 0.58) vs. 0.10 (−1.47,0.50), p = 0.59] and T2LV [−0.03 (−0.90, 0.57) vs. 0.01 (−1.69, 0.34), p = 0.40]. While GA subjects worsened only on BPF [0.12 (−0.18, 0.58), p = 0.001], noDMT worsened on BPF [0.10 (−1.47, 0.50), p = 0.002], T1/T2 [0.41 (−0.30, 2.51), p = 0.0002], and MRDSS [0.46 (−1.57, 2.46), p = 0.0006]. These preliminary findings show the potential of two new cerebral MRI metrics to track MS therapeutic response. The T1/T2, an index of the destructive potential of lesions, may provide particular sensitivity to treatment effects.
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Affiliation(s)
- Gloria Kim
- Department of Neurology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA, USA
| | - Shahamat Tauhid
- Department of Neurology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA, USA
| | - Sheena L Dupuy
- Department of Neurology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA, USA
| | - Subhash Tummala
- Department of Neurology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA, USA
| | - Fariha Khalid
- Department of Neurology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA, USA
| | - Brian C Healy
- Department of Neurology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA, USA
| | - Rohit Bakshi
- Department of Neurology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA, USA.
- Department of Radiology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA, USA.
- Laboratory for Neuroimaging Research, One Brookline Place, Brookline, MA, 02445, USA.
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Tsivgoulis G, Katsanos AH, Grigoriadis N, Hadjigeorgiou GM, Heliopoulos I, Papathanasopoulos P, Kilidireas C, Voumvourakis K, Dardiotis E, HELANI (Hellenic Academy of Neuroimmunology). The Effect of Disease Modifying Therapies on Disease Progression in Patients with Relapsing-Remitting Multiple Sclerosis: A Systematic Review and Meta-Analysis. PLoS One 2015; 10:e0144538. [PMID: 26642051 PMCID: PMC4671570 DOI: 10.1371/journal.pone.0144538] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2015] [Accepted: 11/19/2015] [Indexed: 11/19/2022] Open
Abstract
IMPORTANCE A number of officially approved disease-modifying drugs (DMD) are currently available for the early intervention in patients with relapsing-remitting multiple sclerosis (RRMS). The aim of the present study was to systematically evaluate the effect of DMDs on disability progression in RRMS. METHODS We performed a systematic review on MEDLINE and SCOPUS databases to include all available placebo-controlled randomized clinical trials (RCTs) of RRMS patients that reported absolute numbers or percentages of disability progression during each study period. Observational studies, case series, case reports, RCTs without placebo subgroups and studies reporting the use of RRMS therapies that are not still officially approved were excluded. Risk ratios (RRs) were calculated in each study protocol to express the comparison of disability progression in RRMS patients treated with a DMD and those RRMS patients receiving placebo. The mixed-effects model was used to calculate both the pooled point estimate in each subgroup and the overall estimates. RESULTS DMDs for RRMS were found to have a significantly lower risk of disability progression compared to placebo (RR = 0.72, 95%CI: 0.66-0.79; p<0.001), with no evidence of heterogeneity or publication bias. In subsequent subgroup analyses, neither dichotomization of DMDs as "first" and "second" line RRMS therapies [(RR = 0.72, 95% CI = 0.65-0.80) vs. (RR = 0.72, 95% = 0.57-0.91); p = 0.96] nor the route of administration (injectable or oral) [RR = 0.75 (95% CI = 0.64-0.87) vs. RR = 0.74 (95% CI = 0.66-0.83); p = 0.92] had a differential effect on the risk of disability progression. Either considerable (5-20%) or significant (>20%) rates of loss to follow-up were reported in many study protocols, while financial and/or other support from pharmaceutical industries with a clear conflict of interest on the study outcomes was documented in all included studies. CONCLUSIONS Available DMD are effective in reducing disability progression in patients with RRMS, independently of the route of administration and their classification as "first" or "second" line therapies. Attrition bias needs to be taken into account in the interpretation of these findings.
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Affiliation(s)
- Georgios Tsivgoulis
- Second Department of Neurology, “Attikon” Hospital, School of Medicine, University of Athens, Athens, Greece
- Department of Neurology, The University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
- International Clinical Research Center, Department of Neurology, St. Anne's University Hospital in Brno, Brno, Czech Republic
- * E-mail:
| | - Aristeidis H. Katsanos
- Second Department of Neurology, “Attikon” Hospital, School of Medicine, University of Athens, Athens, Greece
- Department of Neurology, School of Medicine, University of Ioannina, Ioannina, Greece
| | - Nikolaos Grigoriadis
- Second Department of Neurology, “AHEPA” University Hospital, Aristotelion University of Thessaloniki, Thessaloniki, Macedonia, Greece
| | | | - Ioannis Heliopoulos
- Department of Neurology, Alexandroupolis University Hospital, Democritus University of Thrace, Alexandroupolis, Greece
| | | | - Constantinos Kilidireas
- First Department of Neurology, “Eginition” Hospital, School of Medicine, University of Athens, Athens, Greece
| | - Konstantinos Voumvourakis
- Second Department of Neurology, “Attikon” Hospital, School of Medicine, University of Athens, Athens, Greece
| | - Efthimios Dardiotis
- Department of Neurology, University Hospital of Larissa, University of Thessaly, Larissa, Greece
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Oommen VV, Tauhid S, Healy BC, Chua AS, Malik MT, Diaz-Cruz C, Dupuy SL, Weiner HL, Chitnis T, Bakshi R. The Effect of Fingolimod on Conversion of Acute Gadolinium-Enhancing Lesions to Chronic T1 Hypointensities in Multiple Sclerosis. J Neuroimaging 2015; 26:184-7. [PMID: 26445919 PMCID: PMC5057343 DOI: 10.1111/jon.12307] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2015] [Revised: 08/21/2015] [Accepted: 09/01/2015] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Brain lesions converting to chronic T1 hypointensities (“chronic black holes” [CBH]), indicate severe tissue destruction (axonal loss and irreversible demyelination) in multiple sclerosis (MS). Two mechanisms by which fingolimod could limit MS lesion evolution include sequestration of lymphocytes in the periphery or direct neuroprotective effects. We investigated the effect of fingolimod on the evolution of acute gadolinium‐enhancing (Gd+) brain lesions to CBH in patients with MS. METHODS This was a retrospective nonrandomized comparison of patients with Gd+ brain lesions at the time of starting oral fingolimod [.5 mg/day, n = 26, age (mean ± SD) 39.2 ± 10.6 years, Expanded Disability Status Scale (EDSS) score ‐ median (range): 1.75 (0, 6.5)] to those on no therapy [n = 30, age 41.7 ± 9.3 years; EDSS 1.0 (0, 6)]. Each lesion was classified by whether it converted to a CBH in the year following treatment. RESULTS In the fingolimod group, 99 Gd+ baseline lesions (mean ± SD, range: 3.8 ± 5.1; 1, 21 per patient) were identified of which 25 (25%) evolved to CBH (1.0 ± 2.0; 0, 10 per patient). The untreated group had 62 baseline Gd+ lesions (2.1 ± 2.3; 1, 13), 26 (42%) of which evolved to CBH (.9 ± 1.4; 0, 7) (P = .063). Thirteen patients (50%) receiving fingolimod and 17 untreated patients (57%) developed CBH (P = .79). CONCLUSION This pilot study shows a trend of fingolimod on reducing the conversion rate from acute to chronic destructive MS lesions. Such an effect awaits verification in larger randomized prospective studies.
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Affiliation(s)
- Vinit V Oommen
- Department of Neurology, Brigham and Women's Hospital, Partners MS Center, Harvard Medical School, Boston, MA
| | - Shahamat Tauhid
- Department of Radiology, Brigham and Women's Hospital, Partners MS Center, Harvard Medical School, Boston, MA
| | - Brian C Healy
- Department of Neurology, Brigham and Women's Hospital, Partners MS Center, Harvard Medical School, Boston, MA
| | - Alicia S Chua
- Department of Neurology, Brigham and Women's Hospital, Partners MS Center, Harvard Medical School, Boston, MA
| | - Muhammad T Malik
- Department of Neurology, Brigham and Women's Hospital, Partners MS Center, Harvard Medical School, Boston, MA
| | - Camilo Diaz-Cruz
- Department of Neurology, Brigham and Women's Hospital, Partners MS Center, Harvard Medical School, Boston, MA
| | - Sheena L Dupuy
- Department of Neurology, Brigham and Women's Hospital, Partners MS Center, Harvard Medical School, Boston, MA
| | - Howard L Weiner
- Department of Neurology, Brigham and Women's Hospital, Partners MS Center, Harvard Medical School, Boston, MA
| | - Tanuja Chitnis
- Department of Neurology, Brigham and Women's Hospital, Partners MS Center, Harvard Medical School, Boston, MA
| | - Rohit Bakshi
- Department of Neurology, Brigham and Women's Hospital, Partners MS Center, Harvard Medical School, Boston, MA.,Department of Radiology, Brigham and Women's Hospital, Partners MS Center, Harvard Medical School, Boston, MA
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