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Koubiyr I, Yamamoto T, Blyau S, Kamroui RA, Mansencal B, Planche V, Petit L, Saranathan M, Casey R, Ruet A, Brochet B, Manjón JV, Dousset V, Coupé P, Tourdias T. Vulnerability of Thalamic Nuclei at CSF Interface During the Entire Course of Multiple Sclerosis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2024; 11:e200222. [PMID: 38635941 PMCID: PMC11087027 DOI: 10.1212/nxi.0000000000200222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 01/19/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND AND OBJECTIVES Thalamic atrophy can be used as a proxy for neurodegeneration in multiple sclerosis (MS). Some data point toward thalamic nuclei that could be affected more than others. However, the dynamic of their changes during MS evolution and the mechanisms driving their differential alterations are still uncertain. METHODS We paired a large cohort of 1,123 patients with MS with the same number of healthy controls, all scanned with conventional 3D-T1 MRI. To highlight the main atrophic regions at the thalamic nuclei level, we validated a segmentation strategy consisting of deep learning-based synthesis of sequences, which were used for automatic multiatlas segmentation. Then, through a lifespan-based approach, we could model the dynamics of the 4 main thalamic nuclei groups. RESULTS All analyses converged toward a higher rate of atrophy for the posterior and medial groups compared with the anterior and lateral groups. We also demonstrated that focal MS white matter lesions were associated with atrophy of groups of nuclei when specifically located within the associated thalamocortical projections. The volumes of the most affected posterior group, but also of the anterior group, were better associated with clinical disability than the volume of the whole thalamus. DISCUSSION These findings point toward the thalamic nuclei adjacent to the third ventricle as more susceptible to neurodegeneration during the entire course of MS through potentiation of disconnection effects by regional factors. Because this information can be obtained even from standard T1-weighted MRI, this paves the way toward such an approach for future monitoring of patients with MS.
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Affiliation(s)
- Ismail Koubiyr
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Takayuki Yamamoto
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Simon Blyau
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Reda A Kamroui
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Boris Mansencal
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Vincent Planche
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Laurent Petit
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Manojkumar Saranathan
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Romain Casey
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Aurélie Ruet
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Bruno Brochet
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - José V Manjón
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Vincent Dousset
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Pierrick Coupé
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Thomas Tourdias
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
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Cagol A, Benkert P, Melie-Garcia L, Schaedelin SA, Leber S, Tsagkas C, Barakovic M, Galbusera R, Lu PJ, Weigel M, Ruberte E, Radue EW, Yaldizli Ö, Oechtering J, Lorscheider J, D'Souza M, Fischer-Barnicol B, Müller S, Achtnichts L, Vehoff J, Disanto G, Findling O, Chan A, Salmen A, Pot C, Bridel C, Zecca C, Derfuss T, Lieb JM, Remonda L, Wagner F, Vargas MI, Du Pasquier RA, Lalive PH, Pravatà E, Weber J, Cattin PC, Absinta M, Gobbi C, Leppert D, Kappos L, Kuhle J, Granziera C. Association of Spinal Cord Atrophy and Brain Paramagnetic Rim Lesions With Progression Independent of Relapse Activity in People With MS. Neurology 2024; 102:e207768. [PMID: 38165377 PMCID: PMC10834139 DOI: 10.1212/wnl.0000000000207768] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 09/18/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Progression independent of relapse activity (PIRA) is a crucial determinant of overall disability accumulation in multiple sclerosis (MS). Accelerated brain atrophy has been shown in patients experiencing PIRA. In this study, we assessed the relation between PIRA and neurodegenerative processes reflected by (1) longitudinal spinal cord atrophy and (2) brain paramagnetic rim lesions (PRLs). Besides, the same relationship was investigated in progressive MS (PMS). Last, we explored the value of cross-sectional brain and spinal cord volumetric measurements in predicting PIRA. METHODS From an ongoing multicentric cohort study, we selected patients with MS with (1) availability of a susceptibility-based MRI scan and (2) regular clinical and conventional MRI follow-up in the 4 years before the susceptibility-based MRI. Comparisons in spinal cord atrophy rates (explored with linear mixed-effect models) and PRL count (explored with negative binomial regression models) were performed between: (1) relapsing-remitting (RRMS) and PMS phenotypes and (2) patients experiencing PIRA and patients without confirmed disability accumulation (CDA) during follow-up (both considering the entire cohort and the subgroup of patients with RRMS). Associations between baseline MRI volumetric measurements and time to PIRA were explored with multivariable Cox regression analyses. RESULTS In total, 445 patients with MS (64.9% female; mean [SD] age at baseline 45.0 [11.4] years; 11.2% with PMS) were enrolled. Compared with patients with RRMS, those with PMS had accelerated cervical cord atrophy (mean difference in annual percentage volume change [MD-APC] -1.41; p = 0.004) and higher PRL load (incidence rate ratio [IRR] 1.93; p = 0.005). Increased spinal cord atrophy (MD-APC -1.39; p = 0.0008) and PRL burden (IRR 1.95; p = 0.0008) were measured in patients with PIRA compared with patients without CDA; such differences were also confirmed when restricting the analysis to patients with RRMS. Baseline volumetric measurements of the cervical cord, whole brain, and cerebral cortex significantly predicted time to PIRA (all p ≤ 0.002). DISCUSSION Our results show that PIRA is associated with both increased spinal cord atrophy and PRL burden, and this association is evident also in patients with RRMS. These findings further point to the need to develop targeted treatment strategies for PIRA to prevent irreversible neuroaxonal loss and optimize long-term outcomes of patients with MS.
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Affiliation(s)
- Alessandro Cagol
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Pascal Benkert
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Lester Melie-Garcia
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Sabine A Schaedelin
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Selina Leber
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Charidimos Tsagkas
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Muhamed Barakovic
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Riccardo Galbusera
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Po-Jui Lu
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Matthias Weigel
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Esther Ruberte
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Ernst-Wilhelm Radue
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Özgür Yaldizli
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Johanna Oechtering
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Johannes Lorscheider
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Marcus D'Souza
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Bettina Fischer-Barnicol
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Stefanie Müller
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Lutz Achtnichts
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Jochen Vehoff
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Giulio Disanto
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Oliver Findling
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Andrew Chan
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Anke Salmen
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Caroline Pot
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Claire Bridel
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Chiara Zecca
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Tobias Derfuss
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Johanna M Lieb
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Luca Remonda
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Franca Wagner
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Maria Isabel Vargas
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Renaud A Du Pasquier
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Patrice H Lalive
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Emanuele Pravatà
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Johannes Weber
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Philippe C Cattin
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Martina Absinta
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Claudio Gobbi
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - David Leppert
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Ludwig Kappos
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Jens Kuhle
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Cristina Granziera
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
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3
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Coupé P, Planche V, Mansencal B, Kamroui RA, Koubiyr I, Manjòn JV, Tourdias T. Lifespan neurodegeneration of the human brain in multiple sclerosis. Hum Brain Mapp 2023; 44:5602-5611. [PMID: 37615064 PMCID: PMC10619394 DOI: 10.1002/hbm.26464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 07/17/2023] [Accepted: 08/08/2023] [Indexed: 08/25/2023] Open
Abstract
Atrophy related to multiple sclerosis (MS) has been found at the early stages of the disease. However, the archetype dynamic trajectories of the neurodegenerative process, even prior to clinical diagnosis, remain unknown. We modeled the volumetric trajectories of brain structures across the entire lifespan using 40,944 subjects (38,295 healthy controls and 2649 MS patients). Then, we estimated the chronological progression of MS by assessing the divergence of lifespan trajectories between normal brain charts and MS brain charts. Chronologically, the first affected structure was the thalamus, then the putamen and the pallidum (around 4 years later), followed by the ventral diencephalon (around 7 years after thalamus) and finally the brainstem (around 9 years after thalamus). To a lesser extent, the anterior cingulate gyrus, insular cortex, occipital pole, caudate and hippocampus were impacted. Finally, the precuneus and accumbens nuclei exhibited a limited atrophy pattern. Subcortical atrophy was more pronounced than cortical atrophy. The thalamus was the most impacted structure with a very early divergence in life. Our experiments showed that lifespan models of most impacted structures could be an important tool for future preclinical/prodromal prognosis and monitoring of MS.
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Affiliation(s)
| | - Vincent Planche
- Univ. Bordeaux, CNRSBordeauxFrance
- Centre Mémoire Ressources Recherches, Pôle de Neurosciences Cliniques, CHU de BordeauxBordeauxFrance
| | | | | | - Ismail Koubiyr
- Inserm U1215 ‐ Neurocentre MagendieBordeauxFrance
- Service de Neuroimagerie diagnostique et thérapeutique, CHU de BordeauxBordeauxFrance
| | - José V. Manjòn
- Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de ValènciaValenciaSpain
| | - Thomas Tourdias
- Inserm U1215 ‐ Neurocentre MagendieBordeauxFrance
- Service de Neuroimagerie diagnostique et thérapeutique, CHU de BordeauxBordeauxFrance
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4
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Celik NG, Karabulut AK, Fazliogullari Z, Gumus H, Cebeci H, Dogan NU. Relationship between cervical spinal cord morphometry and clinical disability in patients with multiple sclerosis. REVISTA DA ASSOCIACAO MEDICA BRASILEIRA (1992) 2023; 69:e20230949. [PMID: 37971136 PMCID: PMC10645167 DOI: 10.1590/1806-9282.20230949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 08/22/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVE Multiple sclerosis is an autoimmune disease that commonly affects the cervical part of the spinal cord. The aim of this study was to evaluate the relationship between cervical spinal cord atrophy and clinical disability in multiple sclerosis patients. METHODS We examined the cervical spinal cord area measurements of 64 multiple sclerosis patients and 64 healthy control groups over the images obtained by a T2-weighted magnetic resonance imaging device. RESULTS The C2-3, C3-4, C4-5, and C6-7 axial cross-sectional surface area values of the patient group were statistically lower than those of the control group (p<0.05). A negative correlation was found between patients' Expanded Disability Status Scale scores and C4-5, C5-6, and C6-7 axial area (axial area p<0.05; r1=-0.472, r2=-0.513, and r3=-0.415). CONCLUSION When all parameters were evaluated, the data of our control group were found to be higher than the multiple sclerosis groups. There appears to be a significant relationship between patients with cervical spinal cord atrophy and an increase in Expanded Disability Status Scale scores.
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Affiliation(s)
- Nihal Gurlek Celik
- Amasya University, Faculty of Medicine, Department of Anatomy – Amasya, Turkey
| | | | | | - Haluk Gumus
- Selçuk University, School of Medicine, Department of Neurology – Konya, Turkey
| | - Hakan Cebeci
- Selçuk University, Department of Radiology – Konya, Turkey
| | - Nadire Unver Dogan
- Selçuk University, School of Medicine, Department of Anatomy – Konya, Turkey
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5
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Xie L, Lv J, Saimaier K, Han S, Han M, Wang C, Liu G, Zhuang W, Jiang X, Du C. The novel small molecule TPN10518 alleviates EAE pathogenesis by inhibiting AP1 to depress Th1/Th17 cell differentiation. Int Immunopharmacol 2023; 123:110787. [PMID: 37591119 DOI: 10.1016/j.intimp.2023.110787] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 08/07/2023] [Accepted: 08/08/2023] [Indexed: 08/19/2023]
Abstract
Multiple sclerosis (MS) is one of the most common autoimmune diseases of central nervous system (CNS) demyelination. Experimental autoimmune encephalomyelitis (EAE) is the most classic animal model for simulating the onset of clinical symptoms in MS. Previous research has reported the anti-inflammatory effects of artemisinin on autoimmune diseases. In our study, we identified a novel small molecule, TPN10518, an artemisinin derivative, which plays a protective role on the EAE model. We found that TPN10518 reduced CNS inflammatory cell infiltration and alleviated clinical symptoms of EAE. In addition, TPN10518 downregulated the production of Th1 and Th17 cells in vivo and in vitro, and decrease the levels of related chemokines. RNA-seq assay combined with the experimental results demonstrated that TPN10518 lowered the mRNA and protein levels of the AP1 subunits c-Fos and c-Jun in EAE mice. It was further confirmed that TPN10518 was dependent on AP1 to inhibit the differentiation of Th1 and Th17 cells. The results suggest that TPN10518 reduces the production of Th1 and Th17 cells through inhibition of AP1 to alleviate the severity of EAE disease. It is expected to be a potential drug for the treatment of MS.
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Affiliation(s)
- Ling Xie
- Putuo People's Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Jie Lv
- Putuo People's Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Kaidireya Saimaier
- Putuo People's Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Sanxing Han
- Putuo People's Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Mengyao Han
- Putuo People's Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Chun Wang
- Putuo People's Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Guangyu Liu
- Putuo People's Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Wei Zhuang
- Putuo People's Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Xiangrui Jiang
- University of Chinese Academy of Sciences, Beijing, China; CAS Key Laboratory for Receptor Research, Shanghai Institute of Materia, Medica, Chinese Academy of Sciences, Shanghai, China
| | - Changsheng Du
- Putuo People's Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China.
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6
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Coupé P, Planche V, Mansencal B, Kamroui RA, Koubiyr I, Manjon JV, Tourdias T. Lifespan Neurodegeneration Of The Human Brain In Multiple Sclerosis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.14.532535. [PMID: 36993352 PMCID: PMC10055083 DOI: 10.1101/2023.03.14.532535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Background Atrophy related to Multiple Sclerosis (MS) has been found at the early stages of the disease. However, the archetype dynamic trajectories of the neurodegenerative process, even prior to clinical diagnosis, remain unknown. Methods We modeled the volumetric trajectories of brain structures across the entire lifespan using 40944 subjects (38295 healthy controls and 2649 MS patients). Then, we estimated the chronological progression of MS by assessing the divergence of lifespan trajectories between normal brain charts and MS brain charts. Results Chronologically, the first affected structure was the thalamus, then the putamen and the pallidum (3 years later), followed by the ventral diencephalon (7 years after thalamus) and finally the brainstem (9 years after thalamus). To a lesser extent, the anterior cingulate gyrus, insular cortex, occipital pole, caudate and hippocampus were impacted. Finally, the precuneus and accumbens nuclei exhibited a limited atrophy pattern. Conclusion Subcortical atrophy was more pronounced than cortical atrophy. The thalamus was the most impacted structure with a very early divergence in life. It paves the way toward utilization of these lifespan models for future preclinical/prodromal prognosis and monitoring of MS.
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Affiliation(s)
- Pierrick Coupé
- CNRS, Univ. Bordeaux, Bordeaux INP, LABRI, UMR5800, F-33400 Talence, France
| | - Vincent Planche
- Univ. Bordeaux, CNRS, UMR 5293, Institut des Maladies Neurodégénératives, F-33000 Bordeaux, France
- Centre Mémoire Ressources Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, F-33000 Bordeaux, France
| | - Boris Mansencal
- CNRS, Univ. Bordeaux, Bordeaux INP, LABRI, UMR5800, F-33400 Talence, France
| | - Reda A. Kamroui
- CNRS, Univ. Bordeaux, Bordeaux INP, LABRI, UMR5800, F-33400 Talence, France
| | - Ismail Koubiyr
- Inserm U1215 - Neurocentre Magendie, Bordeaux F-33000, France
- Service de Neuroimagerie diagnostique et thérapeutique, CHU de Bordeaux, F-33000 Bordeaux, France
| | - José V. Manjon
- Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain
| | - Thomas Tourdias
- Inserm U1215 - Neurocentre Magendie, Bordeaux F-33000, France
- Service de Neuroimagerie diagnostique et thérapeutique, CHU de Bordeaux, F-33000 Bordeaux, France
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7
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Matusche B, Litvin L, Schneider R, Bellenberg B, Mühlau M, Pongratz V, Berthele A, Groppa S, Muthuraman M, Zipp F, Paul F, Wiendl H, Meuth SG, Sämann P, Weber F, Linker RA, Kümpfel T, Gold R, Lukas C. Early spinal cord pseudoatrophy in interferon-beta-treated multiple sclerosis. Eur J Neurol 2023; 30:453-462. [PMID: 36318271 DOI: 10.1111/ene.15620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 10/26/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Brain pseudoatrophy has been shown to play a pivotal role in the interpretation of brain atrophy measures during the first year of disease-modifying therapy in multiple sclerosis. Whether pseudoatrophy also affects the spinal cord remains unclear. The aim of this study was to analyze the extent of pseudoatrophy in the upper spinal cord during the first 2 years after therapy initiation and compare this to the brain. METHODS A total of 129 patients from a prospective longitudinal multicentric national cohort study for whom magnetic resonance imaging scans at baseline, 12 months, and 24 months were available were selected for brain and spinal cord volume quantification. Annual percentage brain volume and cord area change were calculated using SIENA (Structural Image Evaluation of Normalized Atrophy) and NeuroQLab, respectively. Linear mixed model analyses were performed to compare patients on interferon-beta therapy (n = 84) and untreated patients (n = 45). RESULTS Patients treated with interferon-beta demonstrated accelerated annual percentage brain volume and cervical cord area change in the first year after treatment initiation, whereas atrophy rates stabilized to a similar and not significantly different level compared to untreated patients during the second year. CONCLUSIONS These results suggest that pseudoatrophy occurs not only in the brain, but also in the spinal cord during the first year of interferon-beta treatment.
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Affiliation(s)
- Britta Matusche
- Institute for Neuroradiology, St Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Ludmila Litvin
- Institute for Neuroradiology, St Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Ruth Schneider
- Department of Neurology, St Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Barbara Bellenberg
- Institute for Neuroradiology, St Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Mark Mühlau
- Department of Neurology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Viola Pongratz
- Department of Neurology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Achim Berthele
- Department of Neurology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Sergiu Groppa
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine-Main Neuroscience Network, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Muthuraman Muthuraman
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine-Main Neuroscience Network, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine-Main Neuroscience Network, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Friedemann Paul
- Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Heinz Wiendl
- Department of Neurology, Institute of Translational Neurology, University of Münster, Münster, Germany
| | - Sven G Meuth
- Department of Neurology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | | | - Frank Weber
- Neurological Clinic, Sana Clinic Cham, Cham, Germany
| | - Ralf A Linker
- Department of Neurology, University of Regensburg, Regensburg, Germany
| | - Tania Kümpfel
- Institute of Clinical Neuroimmunology, Biomedical Center and University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Ralf Gold
- Department of Neurology, St Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Carsten Lukas
- Institute for Neuroradiology, St Josef Hospital, Ruhr University Bochum, Bochum, Germany
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8
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Combes AJE, O'Grady KP, Rogers BP, Schilling KG, Lawless RD, Visagie M, Houston D, Prock L, Malone S, Satish S, Witt AA, McKnight CD, Bagnato F, Gore JC, Smith SA. Functional connectivity in the dorsal network of the cervical spinal cord is correlated with diffusion tensor imaging indices in relapsing-remitting multiple sclerosis. Neuroimage Clin 2022; 35:103127. [PMID: 35917721 PMCID: PMC9421501 DOI: 10.1016/j.nicl.2022.103127] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 06/03/2022] [Accepted: 07/23/2022] [Indexed: 01/12/2023]
Abstract
Focal lesions may affect functional connectivity (FC) of the ventral and dorsal networks in the cervical spinal cord of people with relapsing-remitting multiple sclerosis (RRMS). Resting-state FC can be measured using functional MRI (fMRI) at 3T. This study sought to determine whether alterations in FC may be related to the degree of damage in the normal-appearing tissue. Tissue integrity and FC in the cervical spinal cord were assessed with diffusion tensor imaging (DTI) and resting-state fMRI, respectively, in a group of 26 RRMS participants with high cervical lesion load, low disability, and minimally impaired sensorimotor function, and healthy controls. Lower fractional anisotropy (FA) and higher radial diffusivity (RD) were observed in the normal-appearing white matter in the RRMS group relative to controls. Average FC in ventral and dorsal networks was similar between groups. Significant associations were found between higher FC in the dorsal sensory network and several DTI markers of pathology in the normal-appearing tissue. In the normal-appearing grey matter, dorsal FC was positively correlated with axial diffusivity (AD) (r = 0.46, p = 0.020) and mean diffusivity (MD) (r = 0.43, p = 0.032). In the normal-appearing white matter, dorsal FC was negatively correlated with FA (r = -0.43, p = 0.028) and positively correlated with RD (r = 0.49, p = 0.012), AD (r = 0.42, p = 0.037) and MD (r = 0.53, p = 0.006). These results suggest that increased connectivity, while remaining within the normal range, may represent a compensatory mechanism in response to structural damage in support of preserved sensory function in RRMS.
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Affiliation(s)
- Anna J E Combes
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232, United States.
| | - Kristin P O'Grady
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232, United States
| | - Baxter P Rogers
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232, United States
| | - Kurt G Schilling
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232, United States
| | - Richard D Lawless
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States; Department of Biomedical Engineering, Vanderbilt University, 2301 Vanderbilt Place, PMB 351826, Nashville, TN 37235-1826, United States
| | - Mereze Visagie
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States
| | - Delaney Houston
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States
| | - Logan Prock
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States
| | - Shekinah Malone
- School of Medicine, Meharry Medical College, 1005 Dr. D. B. Todd, Jr. Blvd., Nashville, TN 37208, United States
| | - Sanjana Satish
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States
| | - Atlee A Witt
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States
| | - Colin D McKnight
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232, United States
| | - Francesca Bagnato
- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, 1161 21st Ave. South, A-0118 Medical Center North, Nashville, TN 37232, United States; Department of Neurology, Nashville VA Medical Center, TN Valley Healthcare System, 1310 24th Avenue South, Nashville, TN 37212-2637, United States
| | - John C Gore
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232, United States; Department of Biomedical Engineering, Vanderbilt University, 2301 Vanderbilt Place, PMB 351826, Nashville, TN 37235-1826, United States
| | - Seth A Smith
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, Medical Center North, AA-1105, Nashville, TN 37232-2310, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232, United States; Department of Biomedical Engineering, Vanderbilt University, 2301 Vanderbilt Place, PMB 351826, Nashville, TN 37235-1826, United States
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9
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Andelova M, Vodehnalova K, Krasensky J, Hardubejova E, Hrnciarova T, Srpova B, Uher T, Menkyova I, Stastna D, Friedova L, Motyl J, Lizrova Preiningerova J, Kubala Havrdova E, Maréchal B, Fartaria MJ, Kober T, Horakova D, Vaneckova M. Brainstem lesions are associated with diffuse spinal cord involvement in early multiple sclerosis. BMC Neurol 2022; 22:270. [PMID: 35854235 PMCID: PMC9297663 DOI: 10.1186/s12883-022-02778-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 06/29/2022] [Indexed: 11/13/2022] Open
Abstract
Background Early infratentorial and focal spinal cord lesions on magnetic resonance imaging (MRI) are associated with a higher risk of long-term disability in patients with multiple sclerosis (MS). The role of diffuse spinal cord lesions remains less understood. The purpose of this study was to evaluate focal and especially diffuse spinal cord lesions in patients with early relapsing-remitting MS and their association with intracranial lesion topography, global and regional brain volume, and spinal cord volume. Methods We investigated 58 MS patients with short disease duration (< 5 years) from a large academic MS center and 58 healthy controls matched for age and sex. Brain, spinal cord, and intracranial lesion volumes were compared among patients with- and without diffuse spinal cord lesions and controls. Binary logistic regression models were used to analyse the association between the volume and topology of intracranial lesions and the presence of focal and diffuse spinal cord lesions. Results We found spinal cord involvement in 75% of the patients (43/58), including diffuse changes in 41.4% (24/58). Patients with diffuse spinal cord changes exhibited higher volumes of brainstem lesion volume (p = 0.008). The presence of at least one brainstem lesion was associated with a higher probability of the presence of diffuse spinal cord lesions (odds ratio 47.1; 95% confidence interval 6.9–321.6 p < 0.001) as opposed to focal spinal cord lesions (odds ratio 0.22; p = 0.320). Patients with diffuse spinal cord lesions had a lower thalamus volume compared to patients without diffuse spinal cord lesions (p = 0.007) or healthy controls (p = 0.002). Conclusions Diffuse spinal cord lesions are associated with the presence of brainstem lesions and with a lower volume of the thalamus. This association was not found in patients with focal spinal cord lesions. If confirmed, thalamic atrophy in patients with diffuse lesions could increase our knowledge on the worse prognosis in patients with infratentorial and SC lesions. Supplementary Information The online version contains supplementary material available at 10.1186/s12883-022-02778-z.
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Affiliation(s)
- Michaela Andelova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic.
| | - Karolina Vodehnalova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Jan Krasensky
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Eliska Hardubejova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Tereza Hrnciarova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Barbora Srpova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Tomas Uher
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Ingrid Menkyova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic.,2nd Department of Neurology, Faculty of Medicine, Comenius University, Bratislava, Slovakia
| | - Dominika Stastna
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Lucie Friedova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Jiri Motyl
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Jana Lizrova Preiningerova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Eva Kubala Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Bénédicte Maréchal
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.,Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Signal Processing Laboratory (LTS 5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Mário João Fartaria
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.,Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Signal Processing Laboratory (LTS 5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Tobias Kober
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.,Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Signal Processing Laboratory (LTS 5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, Praha 2, Prague, Czech Republic
| | - Manuela Vaneckova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
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10
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Assessment of cervical spinal cord volume in pediatric-onset multiple sclerosis. Clin Imaging 2022; 90:44-49. [DOI: 10.1016/j.clinimag.2022.06.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 06/15/2022] [Accepted: 06/27/2022] [Indexed: 11/23/2022]
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11
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Cilingir V, Akdeniz H. The course of cervical spinal cord atrophy rate and its relationship with NEDA in relapsing remitting multiple sclerosis. Acta Neurol Belg 2022; 122:345-355. [PMID: 33475987 DOI: 10.1007/s13760-021-01595-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 01/08/2021] [Indexed: 11/26/2022]
Abstract
This study aimed to compare the annualized segmental cervical spinal cord atrophy rate (ASCAR) in the early and late stages of relapsing remitting multiple sclerosis (RRMS), and to investigate the relationship between ASCAR and no evidence of disease activity (NEDA) in RRMS. Participants in this study included early stage MS (EMSg) patients, late stage MS (LMSg) patients, and healthy controls. All of the included participants (n = 175 subjects) were followed up for 14 months, and an MRI was performed on each participant at the beginning and at the end of the study. Cervical spinal cord average segmental area (CSCA) was measured by a semi-automated method, and ASCAR (mm2/year) was calculated. Data from the EMSg (n = 81 subjects) and LMSg (n = 94 subjects) patient groups were compared with each other and with the control group (n = 43 subjects). Examination of the initial CSCA values revealed that the baseline CSCA of the control group was larger than that of the EMSg (p < 0.001), and the baseline CSCA of the EMSg was larger than that of the LMSg (p < 0.001). The ASCAR of the control group, LMSg, and EMSg were 0.48, 0.93, and 1.81 mm2 (p < 0.001), respectively. Regression analysis revealed that disability increase was associated with ASCAR, while MRI activity and relapse presence were unrelated to ASCAR. In both patient groups, ASCAR was slower in those who fulfilled NEDA but this relationship was not significant. Cervical spinal cord atrophy progression over time occurs at a greater rate in the early stages of RRMS disease compared to the late stages. ASCAR was unrelated to MRI activity and relapse, which are clinical markers of acute inflammation.
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Affiliation(s)
- Vedat Cilingir
- Van Yuzuncu Yil University Faculty of Medicine Neurology Department, Kampus, 65300, Tusba, Van, Turkey.
| | - Hüseyin Akdeniz
- Van Yuzuncu Yil University Faculty of Medicine Radiology Department, Van, Turkey
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12
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Bischof A, Papinutto N, Keshavan A, Rajesh A, Kirkish G, Zhang X, Mallott JM, Asteggiano C, Sacco S, Gundel TJ, Zhao C, Stern WA, Caverzasi E, Zhou Y, Gomez R, Ragan NR, Santaniello A, Zhu AH, Juwono J, Bevan CJ, Bove RM, Crabtree E, Gelfand JM, Goodin DS, Graves JS, Green AJ, Oksenberg JR, Waubant E, Wilson MR, Zamvil SS, Cree BA, Hauser SL, Henry RG. Reply to "Spinal cord atrophy is a preclinical marker of progressive MS". Ann Neurol 2022; 91:735-736. [PMID: 35233827 PMCID: PMC9511767 DOI: 10.1002/ana.26340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 02/26/2022] [Accepted: 02/28/2022] [Indexed: 12/03/2022]
Affiliation(s)
- Antje Bischof
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA.,Department of Neurology with Institute for Translational Neurology, University Hospital Münster, Germany
| | - Nico Papinutto
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Anisha Keshavan
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Anand Rajesh
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Gina Kirkish
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Xinheng Zhang
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jacob M Mallott
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Carlo Asteggiano
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Simone Sacco
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Tristan J Gundel
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Chao Zhao
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - William A Stern
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Eduardo Caverzasi
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Yifan Zhou
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Refujia Gomez
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Nicholas R Ragan
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Adam Santaniello
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Alyssa H Zhu
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jeremy Juwono
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Carolyn J Bevan
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Riley M Bove
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Elizabeth Crabtree
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jeffrey M Gelfand
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Douglas S Goodin
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jennifer S Graves
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Ari J Green
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jorge R Oksenberg
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Emmanuelle Waubant
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Michael R Wilson
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Scott S Zamvil
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | -
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Bruce A Cree
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Stephen L Hauser
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Roland G Henry
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
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13
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Hamdy E, Talaat F, Said SM, Ramadan I, Marouf H, Hamdy MM, Sadallah H, Ashmawi GAH, Elsalamawy D. Diagnosing ‘transition’ to secondary progressive multiple sclerosis (SPMS): A step-by-step approach for clinicians. Mult Scler Relat Disord 2022; 60:103718. [DOI: 10.1016/j.msard.2022.103718] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 02/13/2022] [Accepted: 02/27/2022] [Indexed: 11/29/2022]
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14
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Upper cervical cord atrophy is independent of cervical cord lesion volume in early multiple sclerosis: A two-year longitudinal study. Mult Scler Relat Disord 2022; 60:103713. [PMID: 35272146 DOI: 10.1016/j.msard.2022.103713] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 02/10/2022] [Accepted: 02/24/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND Upper cervical cord atrophy and lesions have been shown to be associated with disease and disability progression already in early relapsing-remitting multiple sclerosis (RRMS). However, their longitudinal relationship remains unclear. OBJECTIVE To investigate the cross-sectional and longitudinal relation between focal T2 cervical cord lesion volume (CCLV) and regional and global mean upper cervical cord area (UCCA), and their relations with disability. METHODS Over a two-year interval, subjects with RRMS (n = 36) and healthy controls (HC, n = 16) underwent annual clinical and MRI examinations. UCCA and CCLV were obtained from C1 through C4 level. Linear mixed model analysis was performed to investigate the relation between UCCA, CCLV, and disability over time. RESULTS UCCA at baseline was significantly lower in RRMS subjects compared to HCs (p = 0.003), but did not decrease faster over time (p ≥ 0.144). UCCA and CCLV were independent of each other at any of the time points or cervical levels, and over time. Lower baseline UCCA, but not CCLV, was related to worsening of both upper and lower extremities function over time. CONCLUSION UCCA and CCLV are independent from each other, both cross-sectionally and longitudinally, in early MS. Lower UCCA, but not CCLV, was related to increasing disability over time.
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15
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Taheri K, Vavasour IM, Abel S, Lee LE, Johnson P, Ristow S, Tam R, Laule C, Ackermans NC, Schabas A, Cross H, Chan JK, Sayao AL, Bhan V, Devonshire V, Carruthers R, Li DK, Traboulsee AL, Kolind SH, Dvorak AV. Cervical Spinal Cord Atrophy can be Accurately Quantified Using Head Images. Mult Scler J Exp Transl Clin 2022; 8:20552173211070760. [PMID: 35024164 PMCID: PMC8743948 DOI: 10.1177/20552173211070760] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 12/16/2021] [Indexed: 11/16/2022] Open
Abstract
Background Spinal cord atrophy provides a clinically relevant metric for monitoring MS. However, the spinal cord is imaged far less frequently than brain due to artefacts and acquisition time, whereas MRI of the brain is routinely performed. Objective To validate spinal cord cross-sectional area measurements from routine 3DT1 whole-brain MRI versus those from dedicated cord MRI in healthy controls and people with MS. Methods We calculated cross-sectional area at C1 and C2/3 using T2*-weighted spinal cord images and 3DT1 brain images, for 28 healthy controls and 73 people with MS. Correlations for both groups were assessed between: (1) C1 and C2/3 using cord images; (2) C1 from brain and C1 from cord; and (3) C1 from brain and C2/3 from cord. Results and Conclusion C1 and C2/3 from cord were strongly correlated in controls (r = 0.94, p<0.0001) and MS (r = 0.85, p<0.0001). There was strong agreement between C1 from brain and C2/3 from cord in controls (r = 0.84, p<0.0001) and MS (r = 0.81, p<0.0001). This supports the use of C1 cross-sectional area calculated from brain imaging as a surrogate for the traditional C2/3 cross-sectional area measure for spinal cord atrophy.
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Affiliation(s)
- Kamyar Taheri
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Irene M Vavasour
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | | | | | | | - Stephen Ristow
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Roger Tam
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Cornelia Laule
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | | | | | | | | | | | | | | | - Robert Carruthers
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - David Kb Li
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | | | - Shannon H Kolind
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Adam Vladimir Dvorak
- Department of Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada
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16
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Rose DR, Amin M, Ontaneda D. Prediction in treatment outcomes in multiple sclerosis: challenges and recent advances. Expert Rev Clin Immunol 2021; 17:1187-1198. [PMID: 34570656 DOI: 10.1080/1744666x.2021.1986005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
INTRODUCTION Multiple Sclerosis (MS) is a chronic autoimmune and neurodegenerative disease of the central nervous system with a course dependent on early treatment response. Increasing evidence also suggests that despite eliminating disease activity (relapses and lesions), many patients continue to accrue disability, highlighting the need for a more comprehensive definition of treatment success. Optimizing disability outcome measures, as well as continuously improving our understanding of neuroinflammatory and neurodegenerative biomarkers is required. AREAS COVERED This review describes the challenges inherent in classifying and monitoring disease phenotype in MS. The review also provides an assessment of clinical, radiological, and blood biomarker tools for current and future practice. EXPERT OPINION Emerging MRI techniques and standardized patient outcome assessments will increase the accuracy of initial diagnosis and understanding of disease progression.
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Affiliation(s)
- Deja R Rose
- Cleveland Clinic, Mellen Center for Multiple Sclerosis, Cleveland Ohio, United States
| | - Moein Amin
- Cleveland Clinic, Mellen Center for Multiple Sclerosis, Cleveland Ohio, United States.,Department of Neurology, Cleveland Clinic, Cleveland Ohio, United States
| | - Daniel Ontaneda
- Cleveland Clinic, Mellen Center for Multiple Sclerosis, Cleveland Ohio, United States.,Department of Neurology, Cleveland Clinic, Cleveland Ohio, United States
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17
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Krajnc N, Bsteh G, Berger T. Clinical and Paraclinical Biomarkers and the Hitches to Assess Conversion to Secondary Progressive Multiple Sclerosis: A Systematic Review. Front Neurol 2021; 12:666868. [PMID: 34512500 PMCID: PMC8427301 DOI: 10.3389/fneur.2021.666868] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 07/06/2021] [Indexed: 12/11/2022] Open
Abstract
Conversion to secondary progressive (SP) course is the decisive factor for long-term prognosis in relapsing multiple sclerosis (MS), generally considered the clinical equivalent of progressive MS-associated neuroaxonal degeneration. Evidence is accumulating that both inflammation and neurodegeneration are present along a continuum of pathologic processes in all phases of MS. While inflammation is the prominent feature in early stages, its quality changes and relative importance to disease course decreases while neurodegenerative processes prevail with ongoing disease. Consequently, anti-inflammatory disease-modifying therapies successfully used in relapsing MS are ineffective in SPMS, whereas specific treatment for the latter is increasingly a focus of MS research. Therefore, the prevention, but also the (anticipatory) diagnosis of SPMS, is of crucial importance. The problem is that currently SPMS diagnosis is exclusively based on retrospectively assessing the increase of overt physical disability usually over the past 6–12 months. This inevitably results in a delay of diagnosis of up to 3 years resulting in periods of uncertainty and, thus, making early therapy adaptation to prevent SPMS conversion impossible. Hence, there is an urgent need for reliable and objective biomarkers to prospectively predict and define SPMS conversion. Here, we review current evidence on clinical parameters, magnetic resonance imaging and optical coherence tomography measures, and serum and cerebrospinal fluid biomarkers in the context of MS-associated neurodegeneration and SPMS conversion. Ultimately, we discuss the necessity of multimodal approaches in order to approach objective definition and prediction of conversion to SPMS.
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Affiliation(s)
- Nik Krajnc
- Department of Neurology, Medical University of Vienna, Vienna, Austria.,Department of Neurology, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Gabriel Bsteh
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Thomas Berger
- Department of Neurology, Medical University of Vienna, Vienna, Austria
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18
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Colato E, Stutters J, Tur C, Narayanan S, Arnold DL, Gandini Wheeler-Kingshott CAM, Barkhof F, Ciccarelli O, Chard DT, Eshaghi A. Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumes. J Neurol Neurosurg Psychiatry 2021; 92:995-1006. [PMID: 33879535 PMCID: PMC8372398 DOI: 10.1136/jnnp-2020-325610] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 03/18/2021] [Accepted: 03/20/2021] [Indexed: 12/20/2022]
Abstract
OBJECTIVE In multiple sclerosis (MS), MRI measures at the whole brain or regional level are only modestly associated with disability, while network-based measures are emerging as promising prognostic markers. We sought to demonstrate whether data-driven patterns of covarying regional grey matter (GM) volumes predict future disability in secondary progressive MS (SPMS). METHODS We used cross-sectional structural MRI, and baseline and longitudinal data of Expanded Disability Status Scale, Nine-Hole Peg Test (9HPT) and Symbol Digit Modalities Test (SDMT), from a clinical trial in 988 people with SPMS. We processed T1-weighted scans to obtain GM probability maps and applied spatial independent component analysis (ICA). We repeated ICA on 400 healthy controls. We used survival models to determine whether baseline patterns of covarying GM volume measures predict cognitive and motor worsening. RESULTS We identified 15 patterns of regionally covarying GM features. Compared with whole brain GM, deep GM and lesion volumes, some ICA components correlated more closely with clinical outcomes. A mainly basal ganglia component had the highest correlations at baseline with the SDMT and was associated with cognitive worsening (HR=1.29, 95% CI 1.09 to 1.52, p<0.005). Two ICA components were associated with 9HPT worsening (HR=1.30, 95% CI 1.06 to 1.60, p<0.01 and HR=1.21, 95% CI 1.01 to 1.45, p<0.05). ICA measures could better predict SDMT and 9HPT worsening (C-index=0.69-0.71) compared with models including only whole and regional MRI measures (C-index=0.65-0.69, p value for all comparison <0.05). CONCLUSIONS The disability progression was better predicted by some of the covarying GM regions patterns, than by single regional or whole-brain measures. ICA, which may represent structural brain networks, can be applied to clinical trials and may play a role in stratifying participants who have the most potential to show a treatment effect.
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Affiliation(s)
- Elisa Colato
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Jonathan Stutters
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Carmen Tur
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Sridar Narayanan
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Douglas L Arnold
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Claudia A M Gandini Wheeler-Kingshott
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,Department of Brain & Behavioural Sciences, University of Pavia, Pavia, Italy.,Brain Connectivity Centre, IRCCS Mondino Foundation, Pavia, Italy
| | - Frederik Barkhof
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, UK.,Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, NL
| | - Olga Ciccarelli
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK
| | - Declan T Chard
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK
| | - Arman Eshaghi
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, UK
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19
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Quantitative Magnetic Resonance Imaging Analysis of Early Markers of Upper Cervical Cord Atrophy in Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorder. Mult Scler Int 2021; 2021:9917582. [PMID: 34306756 PMCID: PMC8285164 DOI: 10.1155/2021/9917582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 06/18/2021] [Accepted: 06/26/2021] [Indexed: 11/25/2022] Open
Abstract
Purpose To quantitatively analyze the C2/C3 segments of the spinal cord on magnetic resonance imaging (MRI) scans of neuromyelitis optica spectrum disorder (NMOSD) and relapsing-remitting multiple sclerosis (RRMS) patients in their first five years of the disease and to investigate the intergroup differences regarding markers of spinal cord atrophy and their correlations with expanded disability status scale (EDSS). Materials and Methods Twenty NMOSD patients and twenty RRMS patients, within their first five years of the disease, were enrolled in this cross-sectional study. All patients underwent spinal cord MR imaging using 1.5 Tesla systems, and C2/C3 portions of the spinal cord were segmented in the obtained scans. C2/C3 anteroposterior diameter (C2/C3 SC-APD), transversal diameter (C2/C3 SC-TD), and cross-sectional area (C2/C3 SC-CSA) were quantitatively measured using Spinal Cord Toolbox v.4.3. Results Three NMOSD patients were seropositive for anti-AQP4 IgG. The mean C2/C3 SC-CSA in NMOSD patients was significantly lower than in RRMS patients. NMOSD patients had significantly lower C2/C3 SC-TDs than RRMS patients. With the three anti-AQP4+ patients excluded from the analysis, C2/C3 SC-TD was negatively correlated with EDSS. Conclusion In the early stages of the disease, quantitative evaluation of C2/C3 spinal cord parameters, including cross-sectional area and transversal diameter in NMOSD patients, appears to be of potential diagnostic and prognostic value.
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20
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A matter of atrophy: differential impact of brain and spine damage on disability worsening in multiple sclerosis. J Neurol 2021; 268:4698-4706. [PMID: 33942160 PMCID: PMC8563557 DOI: 10.1007/s00415-021-10576-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 04/20/2021] [Accepted: 04/21/2021] [Indexed: 11/29/2022]
Abstract
As atrophy represents the most relevant driver of progression in multiple sclerosis (MS), we investigated the impact of different patterns of brain and spinal cord atrophy on disability worsening in MS. We acquired clinical and MRI data from 90 patients with relapsing–remitting MS and 24 healthy controls (HC). Clinical progression at follow-up (mean 3.7 years) was defined according to the Expanded Disability Status Scale-Plus. Brain and spinal cord volumes were computed on MRI brain scans. After normalizing each participants’ brain and spine volume to the mean of the HC, z-score cut-offs were applied to separate pathologically atrophic from normal brain and spine volumes (accepting a 2.5% error probability). Accordingly, MS patients were classified into four groups (Group I: no brain or spinal cord atrophy N = 40, Group II: brain atrophy/no spinal cord atrophy N = 11, Group III: no brain atrophy/ spinal cord atrophy N = 32, Group IV: both brain and spinal cord atrophy N = 7). All patients’ groups showed significantly lower brain volume than HC (p < 0.0001). Group III and IV showed lower spine volume than HC (p < 0.0001 for both). Higher brain lesion load was identified in Group II (p = 0.049) and Group IV (p = 0.023) vs Group I, and in Group IV (p = 0.048) vs Group III. Spinal cord atrophy (OR = 3.75, p = 0.018) and brain + spinal cord atrophy (OR = 5.71, p = 0.046) were significant predictors of disability progression. The presence of concomitant brain and spinal cord atrophy is the strongest correlate of progression over time. Isolated spinal cord atrophy exerts a similar effect, confirming the leading role of spinal cord atrophy in the determination of motor disability.
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21
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Mina Y, Azodi S, Dubuche T, Andrada F, Osuorah I, Ohayon J, Cortese I, Wu T, Johnson KR, Reich DS, Nair G, Jacobson S. Cervical and thoracic cord atrophy in multiple sclerosis phenotypes: Quantification and correlation with clinical disability. NEUROIMAGE-CLINICAL 2021; 30:102680. [PMID: 34215150 PMCID: PMC8131917 DOI: 10.1016/j.nicl.2021.102680] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 04/15/2021] [Accepted: 04/16/2021] [Indexed: 12/01/2022]
Abstract
Spinal cord atrophy is prevalent across multiple sclerosis phenotypes. It correlates with disability, especially in relapsing-remitting patients. This correlation can be demonstrated both cross-sectionally and longitudinally. Cervical atrophy is highly associated with disability and disease progression. Thoracic atrophy contributes to improved correlation and radiological subgrouping.
Objective We sought to characterize spinal cord atrophy along the entire spinal cord in the major multiple sclerosis (MS) phenotypes, and evaluate its correlation with clinical disability. Methods Axial T1-weighted images were automatically reformatted at each point along the cord. Spinal cord cross‐sectional area (SCCSA) were calculated from C1-T10 vertebral body levels and profile plots were compared across phenotypes. Average values from C2-3, C4-5, and T4-9 regions were compared across phenotypes and correlated with clinical scores, and then categorized as atrophic/normal based on z-scores derived from controls, to compare clinical scores between subgroups. In a subset of relapsing-remitting cases with longitudinal scans these regions were compared to change in clinical scores. Results The cross-sectional study consisted of 149 adults diagnosed with relapsing-remitting MS (RRMS), 49 with secondary-progressive MS (SPMS), 58 with primary-progressive MS (PPMS) and 48 controls. The longitudinal study included 78 RRMS cases. Compared to controls, all MS groups had smaller average regions except RRMS in T4-9 region. In all MS groups, SCCSA from all regions, particularly the cervical cord, correlated with most clinical measures. In the RRMS cohort, 22% of cases had at least one atrophic region, whereas in progressive MS the rate was almost 70%. Longitudinal analysis showed correlation between clinical disability and cervical cord thinning. Conclusions Spinal cord atrophy was prevalent across MS phenotypes, with regional measures from the RRMS cohort and the progressive cohort, including SPMS and PPMS, being correlated with disability. Longitudinal changes in the spinal cord were documented in RRMS cases, making it a potential marker for disease progression. While cervical SCCSA correlated with most disability and progression measures, inclusion of thoracic measurements improved this correlation and allowed for better subgrouping of spinal cord phenotypes. Cord atrophy is an important and easily obtainable imaging marker of clinical and sub-clinical progression in all MS phenotypes, and such measures can play a key role in patient selection for clinical trials.
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Affiliation(s)
- Yair Mina
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States; Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Shila Azodi
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States; Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Tsemacha Dubuche
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Frances Andrada
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Ikesinachi Osuorah
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Joan Ohayon
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Irene Cortese
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Tianxia Wu
- Clinical Trials Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Kory R Johnson
- Bioinformatics Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Govind Nair
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States; Quantitative MRI Core Facility, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Steven Jacobson
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
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22
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Dekker I, Schoonheim MM, Venkatraghavan V, Eijlers AJC, Brouwer I, Bron EE, Klein S, Wattjes MP, Wink AM, Geurts JJG, Uitdehaag BMJ, Oxtoby NP, Alexander DC, Vrenken H, Killestein J, Barkhof F, Wottschel V. The sequence of structural, functional and cognitive changes in multiple sclerosis. Neuroimage Clin 2020; 29:102550. [PMID: 33418173 PMCID: PMC7804841 DOI: 10.1016/j.nicl.2020.102550] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 12/09/2020] [Accepted: 12/20/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND As disease progression remains poorly understood in multiple sclerosis (MS), we aim to investigate the sequence in which different disease milestones occur using a novel data-driven approach. METHODS We analysed a cohort of 295 relapse-onset MS patients and 96 healthy controls, and considered 28 features, capturing information on T2-lesion load, regional brain and spinal cord volumes, resting-state functional centrality ("hubness"), microstructural tissue integrity of major white matter (WM) tracts and performance on multiple cognitive tests. We used a discriminative event-based model to estimate the sequence of biomarker abnormality in MS progression in general, as well as specific models for worsening physical disability and cognitive impairment. RESULTS We demonstrated that grey matter (GM) atrophy of the cerebellum, thalamus, and changes in corticospinal tracts are early events in MS pathology, whereas other WM tracts as well as the cognitive domains of working memory, attention, and executive function are consistently late events. The models for disability and cognition show early functional changes of the default-mode network and earlier changes in spinal cord volume compared to the general MS population. Overall, GM atrophy seems crucial due to its early involvement in the disease course, whereas WM tract integrity appears to be affected relatively late despite the early onset of WM lesions. CONCLUSION Data-driven modelling revealed the relative occurrence of both imaging and non-imaging events as MS progresses, providing insights into disease propagation mechanisms, and allowing fine-grained staging of patients for monitoring purposes.
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Affiliation(s)
- Iris Dekker
- Amsterdam UMC, Location VUmc, Departments of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands; Neurology, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Menno M Schoonheim
- Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Vikram Venkatraghavan
- Biomedical Imaging Group Rotterdam, Departments of Medical Informatics and Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Anand J C Eijlers
- Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Iman Brouwer
- Amsterdam UMC, Location VUmc, Departments of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Esther E Bron
- Biomedical Imaging Group Rotterdam, Departments of Medical Informatics and Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Stefan Klein
- Biomedical Imaging Group Rotterdam, Departments of Medical Informatics and Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Mike P Wattjes
- Dept. of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany
| | - Alle Meije Wink
- Amsterdam UMC, Location VUmc, Departments of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Jeroen J G Geurts
- Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Bernard M J Uitdehaag
- Neurology, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Neil P Oxtoby
- Centre for Medical Image Computing, Department of Computer Science, UCL, London, UK
| | - Daniel C Alexander
- Centre for Medical Image Computing, Department of Computer Science, UCL, London, UK
| | - Hugo Vrenken
- Amsterdam UMC, Location VUmc, Departments of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Joep Killestein
- Neurology, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Amsterdam UMC, Location VUmc, Departments of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands; Centre for Medical Image Computing, Department of Computer Science, UCL, London, UK; Institute of Neurology, UCL, London, UK
| | - Viktor Wottschel
- Amsterdam UMC, Location VUmc, Departments of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands.
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23
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Imaging of the Spinal Cord in Multiple Sclerosis: Past, Present, Future. Brain Sci 2020; 10:brainsci10110857. [PMID: 33202821 PMCID: PMC7696997 DOI: 10.3390/brainsci10110857] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 10/30/2020] [Accepted: 11/11/2020] [Indexed: 11/17/2022] Open
Abstract
Spinal cord imaging in multiple sclerosis (MS) plays a significant role in diagnosing and tracking disease progression. The spinal cord is one of four key areas of the central nervous system where documenting the dissemination in space in the McDonald criteria for diagnosing MS. Spinal cord lesion load and the severity of cord atrophy are believed to be more relevant to disability than white matter lesions in the brain in different phenotypes of MS. Axonal loss contributes to spinal cord atrophy in MS and its degree correlates with disease severity and prognosis. Therefore, measures of axonal loss are often reliable biomarkers for monitoring disease progression. With recent technical advances, more and more qualitative and quantitative MRI techniques have been investigated in an attempt to provide objective and reliable diagnostic and monitoring biomarkers in MS. In this article, we discuss the role of spinal cord imaging in the diagnosis and prognosis of MS and, additionally, we review various techniques that may improve our understanding of the disease.
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24
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Leguy S, Combès B, Bannier E, Kerbrat A. Prognostic value of spinal cord MRI in multiple sclerosis patients. Rev Neurol (Paris) 2020; 177:571-581. [PMID: 33069379 DOI: 10.1016/j.neurol.2020.08.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 08/04/2020] [Accepted: 08/05/2020] [Indexed: 11/19/2022]
Abstract
Multiple sclerosis [MS] is a common inflammatory, demyelinating and neurodegenerative disease of the central nervous system that affects both the brain and the spinal cord. In clinical practice, spinal cord MRI is performed far less frequently than brain MRI, mainly owing to technical limitations and time constraints. However, improvements of acquisition techniques, combined with a strong diagnosis and prognostic value, suggest an increasing use of spinal cord MRI in the near future. This review summarizes the current data from the literature on the prognostic value of spinal cord MRI in MS patients in the early and later stages of their disease. Both conventional and quantitative MRI techniques are discussed. The prognostic value of spinal cord lesions is clearly established at the onset of disease, underlining the interest of spinal cord conventional MRI at this stage. However, studies are currently lacking to affirm the prognostic role of spinal cord lesions later in the disease, and therefore the added value of regular follow-up with spinal cord MRI in addition to brain MRI. Besides, spinal cord atrophy, as measured by the loss of cervical spinal cord area, is also associated with disability progression, independently of other clinical and MRI factors including spinal cord lesions. Although potentially interesting, this measurement is not currently performed as a routine clinical procedure. Finally, other measures extracted from quantitative MRI have been established as valuable for a better understanding of the physiopathology of MS, but still remain a field of research.
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Affiliation(s)
- S Leguy
- CHU de Rennes, Neurology department, 2, Rue Henri-le-Guilloux, 35000 Rennes, France; University Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1228, Rennes, France
| | - B Combès
- University Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1228, Rennes, France
| | - E Bannier
- University Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1228, Rennes, France; CHU de Rennes, Radiology department, Rennes, France
| | - A Kerbrat
- CHU de Rennes, Neurology department, 2, Rue Henri-le-Guilloux, 35000 Rennes, France; University Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1228, Rennes, France.
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Marrodan M, Gaitán MI, Correale J. Spinal Cord Involvement in MS and Other Demyelinating Diseases. Biomedicines 2020; 8:130. [PMID: 32455910 PMCID: PMC7277673 DOI: 10.3390/biomedicines8050130] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 05/18/2020] [Accepted: 05/20/2020] [Indexed: 12/13/2022] Open
Abstract
Diagnostic accuracy is poor in demyelinating myelopathies, and therefore a challenge for neurologists in daily practice, mainly because of the multiple underlying pathophysiologic mechanisms involved in each subtype. A systematic diagnostic approach combining data from the clinical setting and presentation with magnetic resonance imaging (MRI) lesion patterns, cerebrospinal fluid (CSF) findings, and autoantibody markers can help to better distinguish between subtypes. In this review, we describe spinal cord involvement, and summarize clinical findings, MRI and diagnostic characteristics, as well as treatment options and prognostic implications in different demyelinating disorders including: multiple sclerosis (MS), neuromyelitis optica spectrum disorder, acute disseminated encephalomyelitis, anti-myelin oligodendrocyte glycoprotein antibody-associated disease, and glial fibrillary acidic protein IgG-associated disease. Thorough understanding of individual case etiology is crucial, not only to provide valuable prognostic information on whether the disorder is likely to relapse, but also to make therapeutic decision-making easier and reduce treatment failures which may lead to new relapses and long-term disability. Identifying patients with monophasic disease who may only require acute management, symptomatic treatment, and subsequent rehabilitation, rather than immunosuppression, is also important.
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Affiliation(s)
| | | | - Jorge Correale
- Neurology Department, Fleni, C1428AQK Buenos Aires, Argentina; (M.M.); (M.I.G.)
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26
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Rocca MA, Preziosa P, Filippi M. What role should spinal cord MRI take in the future of multiple sclerosis surveillance? Expert Rev Neurother 2020; 20:783-797. [PMID: 32133874 DOI: 10.1080/14737175.2020.1739524] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
INTRODUCTION In multiple sclerosis (MS), inflammatory, demyelinating, and neurodegenerative phenomena affect the spinal cord, with detrimental effects on patients' clinical disability. Although spinal cord imaging may be challenging, improvements in MRI technologies have contributed to better evaluate spinal cord involvement in MS. AREAS COVERED This review summarizes the current state-of-art of the application of conventional and advanced MRI techniques to evaluate spinal cord damage in MS. Typical features of spinal cord lesions, their role in the diagnostic work-up of suspected MS, their predictive role for subsequent disease course and clinical worsening, and their utility to define treatment response are discussed. The role of spinal cord atrophy and of other advanced MRI techniques to better evaluate the associations between spinal cord abnormalities and the accumulation of clinical disability are also evaluated. Finally, how spinal cord assessment could evolve in the future to improve monitoring of disease progression and treatment effects is examined. EXPERT OPINION Spinal cord MRI provides relevant additional information to brain MRI in understanding MS pathophysiology, in allowing an earlier and more accurate diagnosis of MS, and in identifying MS patients at higher risk to develop more severe disability. A future role in monitoring the effects of treatments is also foreseen.
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Affiliation(s)
- Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurophysiology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Vita-Salute San Raffaele University , Milan, Italy
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27
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Song X, Li D, Qiu Z, Su S, Wu Y, Wang J, Liu Z, Dong H. Correlation between EDSS scores and cervical spinal cord atrophy at 3T MRI in multiple sclerosis: A systematic review and meta-analysis. Mult Scler Relat Disord 2019; 37:101426. [PMID: 32172997 DOI: 10.1016/j.msard.2019.101426] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 08/28/2019] [Accepted: 09/30/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND Cervical spinal cord atrophy (CSCA), which partly reflects the axonal loss in the spinal cord, is increasingly recognized as a valuable predictor of disease outcome. However, inconsistent results have been reported regarding the correlation of CSCA and clinical disability in multiple sclerosis (MS). The aim of this meta-analysis was to synthesize the available data obtained from 3.0-Tesla (3T) MRI scanners and to explore the relationship between CSCA and scores on the Expanded Disability Status Scale (EDSS). METHODS We searched PubMed, Embase, and Web of Science for articles published from the database inception to February 1, 2019. The quality of the articles was assessed according to a quality evaluation checklist which was created based on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines. We conducted a meta-analysis of the correlation between EDSS scores and CSCA at 3T MRI in MS. RESULTS Twenty-two eligible studies involving 1933 participants were incorporated into our meta-analysis. Our results demonstrated that CSCA was negatively and moderately correlated with EDSS scores (rs = -0.42, 95% CI: -0.51 to -0.32; p < 0.0001). Subgroup analyses revealed a weaker correlation in the group of relapsing-remitting multiple sclerosis (RRMS) and clinically isolated syndrome (CIS) (rs = -0.19, 95% CI: -0.31 to -0.07; p = 0.0029). CONCLUSIONS The correlation between CSCA and EDSS scores was significant but moderate. We encourage more studies using reliable and consistent methods to explore whether CSCA is suitable as a predictor for MS progression.
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Affiliation(s)
- Xiaodong Song
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China
| | - Dawei Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China
| | - Zhandong Qiu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China
| | - Shengyao Su
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China
| | - Yan Wu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China
| | - Jingsi Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China
| | - Zheng Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China.
| | - Huiqing Dong
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China.
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28
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Weeda MM, Middelkoop SM, Steenwijk MD, Daams M, Amiri H, Brouwer I, Killestein J, Uitdehaag BMJ, Dekker I, Lukas C, Bellenberg B, Barkhof F, Pouwels PJW, Vrenken H. Validation of mean upper cervical cord area (MUCCA) measurement techniques in multiple sclerosis (MS): High reproducibility and robustness to lesions, but large software and scanner effects. NEUROIMAGE-CLINICAL 2019; 24:101962. [PMID: 31416017 PMCID: PMC6704046 DOI: 10.1016/j.nicl.2019.101962] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 07/12/2019] [Accepted: 07/26/2019] [Indexed: 11/15/2022]
Abstract
Introduction Atrophy of the spinal cord is known to occur in multiple sclerosis (MS). The mean upper cervical cord area (MUCCA) can be used to measure this atrophy. Currently, several (semi-)automated methods for MUCCA measurement exist, but validation in clinical magnetic resonance (MR) images is lacking. Methods Five methods to measure MUCCA (SCT-PropSeg, SCT-DeepSeg, NeuroQLab, Xinapse JIM and ITK-SNAP) were investigated in a predefined upper cervical cord region. First, within-scanner reproducibility and between-scanner robustness were assessed using intra-class correlation coefficient (ICC) and Dice's similarity index (SI) in scan-rescan 3DT1-weighted images (brain, including cervical spine using a head coil) performed on three 3 T MR machines (GE MR750, Philips Ingenuity, Toshiba Vantage Titan) in 21 subjects with MS and 6 healthy controls (dataset A). Second, sensitivity of MUCCA measurement to lesions in the upper cervical cord was assessed with cervical 3D T1-weighted images (3 T GE HDxT using a head-neck-spine coil) in 7 subjects with MS without and 14 subjects with MS with cervical lesions (dataset B), using ICC and SI with manual reference segmentations. Results In dataset A, MUCCA differed between MR machines (p < 0.001) and methods (p < 0.001) used, but not between scan sessions. With respect to MUCCA values, Xinapse JIM showed the highest within-scanner reproducibility (ICC absolute agreement = 0.995) while Xinapse JIM and SCT-PropSeg showed the highest between-scanner robustness (ICC consistency = 0.981 and 0.976, respectively). Reproducibility of segmentations between scan sessions was highest in Xinapse JIM and SCT-PropSeg segmentations (median SI ≥ 0.921), with a significant main effect of method (p < 0.001), but not of MR machine or subject group. In dataset B, SI with manual outlines did not differ between patients with or without cervical lesions for any of the segmentation methods (p > 0.176). However, there was an effect of method for both volumetric and voxel wise agreement of the segmentations (both p < 0.001). Highest volumetric and voxel wise agreement was obtained with Xinapse JIM (ICC absolute agreement = 0.940 and median SI = 0.962). Conclusion Although MUCCA is highly reproducible within a scanner for each individual measurement method, MUCCA differs between scanners and between methods. Cervical cord lesions do not affect MUCCA measurement performance. Mean upper cervical cord area (MUCCA) was obtained with five different methods. MUCCA was determined in a unique scan-rescan multi-vendor MR study. Reproducibility: MUCCA did not differ between scan-rescan images for any method. Robustness: MUCCA differed between methods and between scanners. Performance of MUCCA methods was not affected by the presence of lesions.
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Affiliation(s)
- M M Weeda
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands.
| | - S M Middelkoop
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands
| | - M D Steenwijk
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC - location VUmc, Amsterdam, the Netherlands
| | - M Daams
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands
| | - H Amiri
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands
| | - I Brouwer
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands
| | - J Killestein
- Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC - location VUmc, Amsterdam, the Netherlands
| | - B M J Uitdehaag
- Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC - location VUmc, Amsterdam, the Netherlands
| | - I Dekker
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands; Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC - location VUmc, Amsterdam, the Netherlands
| | - C Lukas
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, St. Josef Hospital, Ruhr University, Bochum, Germany
| | - B Bellenberg
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, St. Josef Hospital, Ruhr University, Bochum, Germany
| | - F Barkhof
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands; Institutes of Neurology and Healthcare Engineering, UCL, London, UK
| | - P J W Pouwels
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands
| | - H Vrenken
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands
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Eshaghi A, Marinescu RV, Young AL, Firth NC, Prados F, Jorge Cardoso M, Tur C, De Angelis F, Cawley N, Brownlee WJ, De Stefano N, Laura Stromillo M, Battaglini M, Ruggieri S, Gasperini C, Filippi M, Rocca MA, Rovira A, Sastre-Garriga J, Geurts JJG, Vrenken H, Wottschel V, Leurs CE, Uitdehaag B, Pirpamer L, Enzinger C, Ourselin S, Gandini Wheeler-Kingshott CA, Chard D, Thompson AJ, Barkhof F, Alexander DC, Ciccarelli O. Progression of regional grey matter atrophy in multiple sclerosis. Brain 2019; 141:1665-1677. [PMID: 29741648 PMCID: PMC5995197 DOI: 10.1093/brain/awy088] [Citation(s) in RCA: 272] [Impact Index Per Article: 45.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Accepted: 02/09/2018] [Indexed: 12/15/2022] Open
Abstract
See Stankoff and Louapre (doi:10.1093/brain/awy114) for a scientific commentary on this article. Grey matter atrophy is present from the earliest stages of multiple sclerosis, but its temporal ordering is poorly understood. We aimed to determine the sequence in which grey matter regions become atrophic in multiple sclerosis and its association with disability accumulation. In this longitudinal study, we included 1417 subjects: 253 with clinically isolated syndrome, 708 with relapsing-remitting multiple sclerosis, 128 with secondary-progressive multiple sclerosis, 125 with primary-progressive multiple sclerosis, and 203 healthy control subjects from seven European centres. Subjects underwent repeated MRI (total number of scans 3604); the mean follow-up for patients was 2.41 years (standard deviation = 1.97). Disability was scored using the Expanded Disability Status Scale. We calculated the volume of brain grey matter regions and brainstem using an unbiased within-subject template and used an established data-driven event-based model to determine the sequence of occurrence of atrophy and its uncertainty. We assigned each subject to a specific event-based model stage, based on the number of their atrophic regions. Linear mixed-effects models were used to explore associations between the rate of increase in event-based model stages, and T2 lesion load, disease-modifying treatments, comorbidity, disease duration and disability accumulation. The first regions to become atrophic in patients with clinically isolated syndrome and relapse-onset multiple sclerosis were the posterior cingulate cortex and precuneus, followed by the middle cingulate cortex, brainstem and thalamus. A similar sequence of atrophy was detected in primary-progressive multiple sclerosis with the involvement of the thalamus, cuneus, precuneus, and pallidum, followed by the brainstem and posterior cingulate cortex. The cerebellum, caudate and putamen showed early atrophy in relapse-onset multiple sclerosis and late atrophy in primary-progressive multiple sclerosis. Patients with secondary-progressive multiple sclerosis showed the highest event-based model stage (the highest number of atrophic regions, P < 0.001) at the study entry. All multiple sclerosis phenotypes, but clinically isolated syndrome, showed a faster rate of increase in the event-based model stage than healthy controls. T2 lesion load and disease duration in all patients were associated with increased event-based model stage, but no effects of disease-modifying treatments and comorbidity on event-based model stage were observed. The annualized rate of event-based model stage was associated with the disability accumulation in relapsing-remitting multiple sclerosis, independent of disease duration (P < 0.0001). The data-driven staging of atrophy progression in a large multiple sclerosis sample demonstrates that grey matter atrophy spreads to involve more regions over time. The sequence in which regions become atrophic is reasonably consistent across multiple sclerosis phenotypes. The spread of atrophy was associated with disease duration and with disability accumulation over time in relapsing-remitting multiple sclerosis.
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Affiliation(s)
- Arman Eshaghi
- Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, UK
| | - Razvan V Marinescu
- Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, UK
| | - Alexandra L Young
- Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, UK
| | - Nicholas C Firth
- Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, UK
| | - Ferran Prados
- Translational Imaging Group, Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK
| | - M Jorge Cardoso
- Translational Imaging Group, Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK
| | - Carmen Tur
- Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Floriana De Angelis
- Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Niamh Cawley
- Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Wallace J Brownlee
- Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - M Laura Stromillo
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Marco Battaglini
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Serena Ruggieri
- Department of Neurosciences, S Camillo Forlanini Hospital, Rome, Italy.,Department of Neurology and Psychiatry, University of Rome Sapienza, Rome, Italy
| | - Claudio Gasperini
- Department of Neurosciences, S Camillo Forlanini Hospital, Rome, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Alex Rovira
- MR Unit and Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jaume Sastre-Garriga
- Department of Neurology/Neuroimmunology, Multiple Sclerosis Centre of Catalonia (CEMCAT), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jeroen J G Geurts
- Department of Anatomy and Neurosciences, VUmc MS Center, Neuroscience Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Hugo Vrenken
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam, The Netherlands
| | - Viktor Wottschel
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam, The Netherlands
| | - Cyra E Leurs
- Department of Neurology, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Bernard Uitdehaag
- Department of Neurology, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Lukas Pirpamer
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Christian Enzinger
- Department of Neurology, Medical University of Graz, Graz, Austria.,Division of Neuroradiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Sebastien Ourselin
- Translational Imaging Group, Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK.,National Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK
| | - Claudia A Gandini Wheeler-Kingshott
- Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| | - Declan Chard
- Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,National Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK
| | - Alan J Thompson
- Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Frederik Barkhof
- Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,Translational Imaging Group, Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK.,National Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK.,Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam, The Netherlands
| | - Daniel C Alexander
- Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, UK
| | - Olga Ciccarelli
- Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,National Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK
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Moccia M, Ruggieri S, Ianniello A, Toosy A, Pozzilli C, Ciccarelli O. Advances in spinal cord imaging in multiple sclerosis. Ther Adv Neurol Disord 2019; 12:1756286419840593. [PMID: 31040881 PMCID: PMC6477770 DOI: 10.1177/1756286419840593] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 03/03/2019] [Indexed: 11/18/2022] Open
Abstract
The spinal cord is frequently affected in multiple sclerosis (MS), causing motor, sensory and autonomic dysfunction. A number of pathological abnormalities, including demyelination and neuroaxonal loss, occur in the MS spinal cord and are studied in vivo with magnetic resonance imaging (MRI). The aim of this review is to summarise and discuss recent advances in spinal cord MRI. Advances in conventional spinal cord MRI include improved identification of MS lesions, recommended spinal cord MRI protocols, enhanced recognition of MRI lesion characteristics that allow MS to be distinguished from other myelopathies, evidence for the role of spinal cord lesions in predicting prognosis and monitoring disease course, and novel post-processing methods to obtain lesion probability maps. The rate of spinal cord atrophy is greater than that of brain atrophy (-1.78% versus -0.5% per year), and reflects neuroaxonal loss in an eloquent site of the central nervous system, suggesting that it can become an important outcome measure in clinical trials, especially in progressive MS. Recent developments allow the calculation of spinal cord atrophy from brain volumetric scans and evaluation of its progression over time with registration-based techniques. Fully automated analysis methods, including segmentation of grey matter and intramedullary lesions, will facilitate the use of spinal cord atrophy in trial designs and observational studies. Advances in quantitative imaging techniques to evaluate neuroaxonal integrity, myelin content, metabolic changes, and functional connectivity, have provided new insights into the mechanisms of damage in MS. Future directions of research and the possible impact of 7T scanners on spinal cord imaging will be discussed.
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Affiliation(s)
- Marcello Moccia
- Queen Square MS Centre, NMR Research Unit, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neurosciences, Federico II University of Naples, via Sergio Pansini, 5, Edificio 17 - piano terra, Napoli, 80131 Naples, Italy
| | - Serena Ruggieri
- Department of Human Neuroscience, Sapienza University of Rome, Italy
| | - Antonio Ianniello
- Department of Human Neuroscience, Sapienza University of Rome, Italy
| | - Ahmed Toosy
- Queen Square MS Centre, NMR Research Unit, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Carlo Pozzilli
- Department of Human Neuroscience, Sapienza University of Rome, Italy
| | - Olga Ciccarelli
- Queen Square MS Centre, NMR Research Unit, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- National Institute for Health Research, University College London Hospitals Biomedical Research Centre, London, UK
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31
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Abstract
PURPOSE OF REVIEW Clinical MRI is of paramount importance for multiple sclerosis diagnosis but lacks the specificity to investigate the pathogenic mechanisms underlying disease onset and progression. The application of advanced MR sequences allows the characterization of diverse and complex pathological mechanisms, granting insights into multiple sclerosis natural history and response to treatment. RECENT FINDINGS This review provides an update on the most recent international guidelines for optimal standard imaging of multiple sclerosis and discusses advantages and limitations of advanced imaging approaches for investigating inflammation, demyelination and neurodegeneration. An overview is provided for methods devoted to imaging leptomeningeal enhancement, microglial activation, demyelination, neuronal metabolic damage and neuronal loss. SUMMARY The application of magnetic resonance (MR) guidelines to standard-of-care MR protocols, although still limited, would substantially contribute to the optimization of multiple sclerosis management. From an academic perspective, different mechanism-specific imaging techniques are available and offer a powerful tool to elucidate multiple sclerosis pathogenesis, monitor disease progression and guide therapeutic choices.
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32
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Zimmermann HG, Knier B, Oberwahrenbrock T, Behrens J, Pfuhl C, Aly L, Kaminski M, Hoshi MM, Specovius S, Giess RM, Scheel M, Mühlau M, Bellmann-Strobl J, Ruprecht K, Hemmer B, Korn T, Paul F, Brandt AU. Association of Retinal Ganglion Cell Layer Thickness With Future Disease Activity in Patients With Clinically Isolated Syndrome. JAMA Neurol 2018; 75:1071-1079. [PMID: 29710121 PMCID: PMC6143115 DOI: 10.1001/jamaneurol.2018.1011] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Accepted: 02/23/2018] [Indexed: 12/15/2022]
Abstract
Importance Clinically isolated syndrome (CIS) describes a first clinical incident suggestive of multiple sclerosis (MS). Identifying patients with CIS who have a high risk of future disease activity and subsequent MS diagnosis is crucial for patient monitoring and the initiation of disease-modifying therapy. Objective To investigate the association of retinal optical coherence tomography (OCT) results with future disease activity in patients with CIS. Design, Setting, and Participants This prospective, longitudinal cohort study took place between January 2011 and May 2017 at 2 German tertiary referral centers. A total of 179 patients with CIS were screened (80 in Berlin and 99 in Munich). Patients underwent neurological examination, magnetic resonance imaging (MRI), and OCT. Only eyes with no previous optic neuritis were considered for OCT analysis. Main Outcomes and Measures The primary outcome was not meeting the no evidence of disease activity (NEDA-3) criteria; secondary outcomes were MS diagnosis (by the 2010 McDonald criteria) and worsening of disability. The primary measure was OCT-derived ganglion cell and inner plexiform layer thickness; the secondary measures included peripapillary retinal nerve fiber layer thickness, inner nuclear layer thickness, and MRI-derived T2-weighted lesions. Results A total of 97 of the 179 screened patients (54.2%) were enrolled in the study at a median of 93 (interquartile range [IQR], 62-161) days after a first demyelinating event. The median follow-up duration (Kaplan-Meier survival time) was 729 (IQR, 664-903) days. Of 97 patients with CIS (mean age 33.6 [7.9] years; 61 [62.9%] female), 58 (59%) did not meet NEDA-3 criteria during the follow-up period. A Kaplan-Meier analysis showed a significant probability difference in not meeting NEDA-3 criteria by ganglion cell and inner plexiform later thickness (thinnest vs thickest tertile: hazard ratio [HR], 3.33 [95% CI, 1.70-6.55; P < .001; log-rank P = .001). A follow-up diagnosis of MS was more likely for patients with low ganglion cell and inner plexiform layer thickness (thinnest vs thickest tertile: HR, 4.05 [95% CI, 1.93-8.50]; P < .001). Low peripapillary retinal nerve fiber layer thickness likewise indicated risk of not meeting NEDA-3 criteria (thinnest vs thickest tertile: HR, 2.46 [95% CI, 1.29-4.66]; P = .01; log-rank P = .02). Inner nuclear layer thickness and T2-weighted lesion count were not associated with not meeting NEDA-3 criteria. Conclusions and Relevance Retinal ganglion cell and inner plexiform layer thickness might prove a valuable imaging marker for anticipating future disease activity and diagnosis of MS in patients with CIS, which can potentially support patient monitoring and initiation of disease-modifying therapy.
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Affiliation(s)
- Hanna G. Zimmermann
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Benjamin Knier
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Department of Experimental Neuroimmunology, Technische Universität München, Munich, Germany
| | - Timm Oberwahrenbrock
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Janina Behrens
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Catherina Pfuhl
- Department of Neurology, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Lilian Aly
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Department of Experimental Neuroimmunology, Technische Universität München, Munich, Germany
| | - Miriam Kaminski
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Muna-Miriam Hoshi
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Svenja Specovius
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - René M. Giess
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Michael Scheel
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Mark Mühlau
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- TUM Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Judith Bellmann-Strobl
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine and Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Klemens Ruprecht
- Department of Neurology, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Bernhard Hemmer
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Thomas Korn
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Department of Experimental Neuroimmunology, Technische Universität München, Munich, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Friedemann Paul
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Department of Neurology, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine and Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Alexander U. Brandt
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
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Casserly C, Seyman EE, Alcaide-Leon P, Guenette M, Lyons C, Sankar S, Svendrovski A, Baral S, Oh J. Spinal Cord Atrophy in Multiple Sclerosis: A Systematic Review and Meta-Analysis. J Neuroimaging 2018; 28:556-586. [PMID: 30102003 DOI: 10.1111/jon.12553] [Citation(s) in RCA: 81] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Revised: 07/12/2018] [Accepted: 07/16/2018] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND AND PURPOSE Spinal cord atrophy (SCA) is an important emerging outcome measure in multiple sclerosis (MS); however, there is limited consensus on the magnitude and rate of atrophy. The objective of this study was to synthesize the available data on measures of SCA in MS. METHODS Using published guidelines, relevant literature databases were searched between 1977 and 2017 for case-control or cohort studies reporting a quantitative measure of SCA in MS patients. Random-effects models pooled cross-sectional measures and longitudinal rates of SCA in MS and healthy controls (HCs). Student's t-test assessed differences between pooled measures in patient subgroups. Heterogeneity was assessed using DerSimonian and Laird's Q-test and the I 2 -index. RESULTS A total of 1,465 studies were retrieved including 94 that met inclusion and exclusion criteria. Pooled estimates of mean cervical spinal cord (SC) cross-sectional area (CSA) in all MS patients, relapsing-remitting MS (RRMS), all progressive MS, secondary progressive MS (SPMS), primary-progressive MS (PPMS), and HC were: 73.07 mm2 (95% CI [71.52-74.62]), 78.88 mm2 (95% CI [76.92-80.85]), 69.72 mm2 (95% CI [67.96-71.48]), 68.55 mm2 (95% CI [65.43-71.66]), 70.98 mm2 (95% CI [68.78-73.19]), and 80.87 mm2 (95% C I [78.70-83.04]), respectively. Pooled SC-CSA was greater in HC versus MS (P < .001) and RRMS versus progressive MS (P < .001). SCA showed moderate correlations with global disability in cross-sectional studies (r-value with disability score range [-.75 to -.22]). In longitudinal studies, the pooled annual rate of SCA was 1.78%/year (95%CI [1.28-2.27]). CONCLUSIONS The SC is atrophied in MS. The magnitude of SCA is greater in progressive versus relapsing forms and correlates with clinical disability. The pooled estimate of annual rate of SCA is greater than reported rates of brain atrophy in MS. These results demonstrate that SCA is highly relevant as an imaging outcome in MS clinical trials.
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Affiliation(s)
- Courtney Casserly
- Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.,Department of Neurology, London Health Sciences Centre, Western University, London, Ontario, Canada
| | - Estelle E Seyman
- Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Paula Alcaide-Leon
- Division of Neuroradiology, Department of Medical Imaging, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Melanie Guenette
- Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Carrie Lyons
- Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Stephanie Sankar
- Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Anton Svendrovski
- Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Stefan Baral
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD
| | - Jiwon Oh
- Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.,Department of Neurology, Johns Hopkins University, Baltimore, MD
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Abstract
Spinal cord (SC) MRI in multiple sclerosis (MS) has significant usefulness in clinical and investigational settings. Conventional MRI of the SC is used in clinical practice, because it has both diagnostic and prognostic value. A number of advanced, quantitative SC MRI measures that assess the structural and functional integrity of the SC have been evaluated in investigational settings. These techniques have collectively demonstrated usefulness in providing insight into microstructural and functional changes relevant to disability in MS. With further development, these techniques may be useful in clinical trial settings as biomarkers of neurodegeneration and protection, and in day-to-day clinical practice.
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Affiliation(s)
- Alexandra Muccilli
- Division of Neurology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, M5B 1W8, Canada; Division of Neurology, Centre Hospitalier de L'Université de Montréal, Université de Montréal, 1058 Saint-Denis Street, Montreal, Quebec H2X 3J4, Canada
| | - Estelle Seyman
- Division of Neurology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, M5B 1W8, Canada
| | - Jiwon Oh
- Division of Neurology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, M5B 1W8, Canada; Department of Neurology, Johns Hopkins University, Baltimore, MD, USA.
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35
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Combès B, Kerbrat A, Ferré JC, Callot V, Maranzano J, Badji A, Le Page E, Labauge P, Ayrignac X, Carra Dallière C, de Champfleur NM, Pelletier J, Maarouf A, de Seze J, Collongues N, Brassat D, Durand-Dubief F, Barillot C, Bannier E, Edan G. Focal and diffuse cervical spinal cord damage in patients with early relapsing-remitting MS: A multicentre magnetisation transfer ratio study. Mult Scler 2018; 25:1113-1123. [PMID: 29909771 DOI: 10.1177/1352458518781999] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Studies including patients with well-established multiple sclerosis (MS) have shown a significant and disability-related reduction in the cervical spinal cord (SC) magnetisation transfer ratio (MTR). OBJECTIVES The objectives are to (1) assess whether MTR reduction is already measurable in the SC of patients with early relapsing-remitting multiple sclerosis (RRMS) and (2) describe its spatial distribution. METHODS We included 60 patients with RRMS <12 months and 34 age-matched controls at five centres. Axial T2*w, sagittal T2w, sagittal phase-sensitive inversion recovery (PSIR), 3DT1w, and axial magnetisation transfer (MT) images were acquired from C1 to C7. Lesions were manually labelled and mean MTR values computed both for the whole SC and for normal-appearing SC in different regions of interest. RESULTS Mean whole SC MTR was significantly lower in patients than controls (33.7 vs 34.9 pu, p = 0.00005), even after excluding lesions (33.9 pu, p = 0.0003). We observed a greater mean reduction in MTR for vertebral levels displaying the highest lesion loads (C2-C4). In the axial plane, we observed a greater mean MTR reduction at the SC periphery and barycentre. CONCLUSION Cervical SC tissue damage measured using MTR is not restricted to macroscopic lesions in patients with early RRMS and is not homogeneously distributed.
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Affiliation(s)
- Benoît Combès
- IRISA, UMR CNRS 6074, VisAGeS U1228, INSERM, INRIA, Université Rennes I, Rennes, France
| | - Anne Kerbrat
- IRISA, UMR CNRS 6074, VisAGeS U1228, INSERM, INRIA, Université Rennes I, Rennes, France.,Neurology Department, Rennes University Hospital, Rennes, France
| | - Jean Christophe Ferré
- IRISA, UMR CNRS 6074, VisAGeS U1228, INSERM, INRIA, Université Rennes I, Rennes, France.,Radiology Department, CHU Rennes, Rennes, France
| | - Virginie Callot
- AP-HM, Pôle d'Imagerie Médicale, Hôpital de La Timone, CEMEREM, Marseille, France.,Aix-Marseille Université, CNRS, UMR 7339, CRMBM, Marseille, France
| | | | - Atef Badji
- Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada; Functional Neuroimaging Unit, CRIUGM, Université de Montreal, Montreal, QC, Canada
| | | | | | | | | | | | - Jean Pelletier
- AP-HM, Pôle d'Imagerie Médicale, Hôpital de La Timone, CEMEREM, Marseille, France.,AP-HM, CHU Timone, Pole de Neurosciences Cliniques, Department of Neurology, Marseille, France
| | - Adil Maarouf
- AP-HM, Pôle d'Imagerie Médicale, Hôpital de La Timone, CEMEREM, Marseille, France.,AP-HM, CHU Timone, Pole de Neurosciences Cliniques, Department of Neurology, Marseille, France
| | - Jérôme de Seze
- CIC, INSERM 1434, University Hospital of Strasbourg, Strasbourg, France
| | | | | | | | - Christian Barillot
- IRISA, UMR CNRS 6074, VisAGeS U1228, INSERM, INRIA, Université Rennes I, Rennes, France
| | - Elise Bannier
- IRISA, UMR CNRS 6074, VisAGeS U1228, INSERM, INRIA, Université Rennes I, Rennes, France.,Radiology Department, CHU Rennes, Rennes, France
| | - Gilles Edan
- IRISA, UMR CNRS 6074, VisAGeS U1228, INSERM, INRIA, Université Rennes I, Rennes, France.,Neurology Department, Rennes University Hospital, Rennes, France
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36
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Zeydan B, Gu X, Atkinson EJ, Keegan BM, Weinshenker BG, Tillema JM, Pelletier D, Azevedo CJ, Lebrun-Frenay C, Siva A, Okuda DT, Kantarci K, Kantarci OH. Cervical spinal cord atrophy: An early marker of progressive MS onset. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2018; 5:e435. [PMID: 29435472 PMCID: PMC5795903 DOI: 10.1212/nxi.0000000000000435] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Accepted: 11/28/2017] [Indexed: 11/15/2022]
Abstract
Objective To assess whether cervical spinal cord atrophy heralds the onset of progressive MS. Methods We studied 34 individuals with radiologically isolated syndrome (RIS) and 31 patients with relapsing-remitting MS (RRMS) age matched to 25 patients within a year of onset of secondary progressive MS (SPMS). Two raters independently measured (twice per rater) the cervical spinal cord average segmental area (CASA) (mm2) of axial T2-weighted images between C2 and C7 landmarks. The midsagittal T2-weighted image from the end of C2 to the end of C7 vertebra was used to measure the cervical spine (c-spine) length (mm). Sex, age at cervical MRI, number and location of cervical spinal cord lesions, c-spine length, and diagnoses were analyzed against the outcome measures of CASA and C2 and C7 slice segmental areas. Results Intrarater and interrater agreement was excellent (intraclass correlation coefficient >0.97). The CASA area (p = 0.03) and C7 area (p = 0.002) were smaller in SPMS compared with RRMS. The C2 area (p = 0.027), CASA (p = 0.004), and C7 area (p = 0.003) were smaller in SPMS compared with RIS. The C2 area did not differ between SPMS and RRMS (p = 0.09). The C2 area (p = 0.349), CASA (p = 0.136), and C7 area (p = 0.228) did not differ between RIS and MS (SPMS and RRMS combined). In the multivariable model, ≥2 cervical spinal cord lesions were associated with the C2 area (p = 0.008), CASA (p = 0.009), and C7 area independent of disease course (p = 0.017). Progressive disease course was associated with the C7 area independent of the cervical spinal cord lesion number (p = 0.004). Conclusion Cervical spinal cord atrophy is evident at the onset of progressive MS and seems partially independent of the number of cervical spinal cord lesions. Classification of evidence This study provides Class III evidence that MRI cervical spinal cord atrophy distinguishes patients at the onset of progressive MS from those with RIS and RRMS.
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Affiliation(s)
- Burcu Zeydan
- Department of Neurology (B.Z., X.G., B.M.K., B.G.W., J.-M.T., O.H.K.), Department of Radiology (B.Z., K.K.), and Department of Health Sciences Research (E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; Department of Neurology (X.G.), The affiliated ZhongShan Hospital of DaLian University, LiaoNing, China; Multiple Sclerosis Center (D.P., C.J.A.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (C.L.-F.), Hopital Pasteur, Nice, France; Cerrahpasa School of Medicine (A.S.), Istanbul University, Turkey; and Department of Neurology & Neurotherapeutics (D.T.O.), Clinical Center for Multiple Sclerosis, University of Texas Southwestern Medical Center, Dallas
| | - Xinyi Gu
- Department of Neurology (B.Z., X.G., B.M.K., B.G.W., J.-M.T., O.H.K.), Department of Radiology (B.Z., K.K.), and Department of Health Sciences Research (E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; Department of Neurology (X.G.), The affiliated ZhongShan Hospital of DaLian University, LiaoNing, China; Multiple Sclerosis Center (D.P., C.J.A.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (C.L.-F.), Hopital Pasteur, Nice, France; Cerrahpasa School of Medicine (A.S.), Istanbul University, Turkey; and Department of Neurology & Neurotherapeutics (D.T.O.), Clinical Center for Multiple Sclerosis, University of Texas Southwestern Medical Center, Dallas
| | - Elizabeth J Atkinson
- Department of Neurology (B.Z., X.G., B.M.K., B.G.W., J.-M.T., O.H.K.), Department of Radiology (B.Z., K.K.), and Department of Health Sciences Research (E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; Department of Neurology (X.G.), The affiliated ZhongShan Hospital of DaLian University, LiaoNing, China; Multiple Sclerosis Center (D.P., C.J.A.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (C.L.-F.), Hopital Pasteur, Nice, France; Cerrahpasa School of Medicine (A.S.), Istanbul University, Turkey; and Department of Neurology & Neurotherapeutics (D.T.O.), Clinical Center for Multiple Sclerosis, University of Texas Southwestern Medical Center, Dallas
| | - B Mark Keegan
- Department of Neurology (B.Z., X.G., B.M.K., B.G.W., J.-M.T., O.H.K.), Department of Radiology (B.Z., K.K.), and Department of Health Sciences Research (E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; Department of Neurology (X.G.), The affiliated ZhongShan Hospital of DaLian University, LiaoNing, China; Multiple Sclerosis Center (D.P., C.J.A.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (C.L.-F.), Hopital Pasteur, Nice, France; Cerrahpasa School of Medicine (A.S.), Istanbul University, Turkey; and Department of Neurology & Neurotherapeutics (D.T.O.), Clinical Center for Multiple Sclerosis, University of Texas Southwestern Medical Center, Dallas
| | - Brian G Weinshenker
- Department of Neurology (B.Z., X.G., B.M.K., B.G.W., J.-M.T., O.H.K.), Department of Radiology (B.Z., K.K.), and Department of Health Sciences Research (E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; Department of Neurology (X.G.), The affiliated ZhongShan Hospital of DaLian University, LiaoNing, China; Multiple Sclerosis Center (D.P., C.J.A.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (C.L.-F.), Hopital Pasteur, Nice, France; Cerrahpasa School of Medicine (A.S.), Istanbul University, Turkey; and Department of Neurology & Neurotherapeutics (D.T.O.), Clinical Center for Multiple Sclerosis, University of Texas Southwestern Medical Center, Dallas
| | - Jan-Mendelt Tillema
- Department of Neurology (B.Z., X.G., B.M.K., B.G.W., J.-M.T., O.H.K.), Department of Radiology (B.Z., K.K.), and Department of Health Sciences Research (E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; Department of Neurology (X.G.), The affiliated ZhongShan Hospital of DaLian University, LiaoNing, China; Multiple Sclerosis Center (D.P., C.J.A.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (C.L.-F.), Hopital Pasteur, Nice, France; Cerrahpasa School of Medicine (A.S.), Istanbul University, Turkey; and Department of Neurology & Neurotherapeutics (D.T.O.), Clinical Center for Multiple Sclerosis, University of Texas Southwestern Medical Center, Dallas
| | - Daniel Pelletier
- Department of Neurology (B.Z., X.G., B.M.K., B.G.W., J.-M.T., O.H.K.), Department of Radiology (B.Z., K.K.), and Department of Health Sciences Research (E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; Department of Neurology (X.G.), The affiliated ZhongShan Hospital of DaLian University, LiaoNing, China; Multiple Sclerosis Center (D.P., C.J.A.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (C.L.-F.), Hopital Pasteur, Nice, France; Cerrahpasa School of Medicine (A.S.), Istanbul University, Turkey; and Department of Neurology & Neurotherapeutics (D.T.O.), Clinical Center for Multiple Sclerosis, University of Texas Southwestern Medical Center, Dallas
| | - Christina J Azevedo
- Department of Neurology (B.Z., X.G., B.M.K., B.G.W., J.-M.T., O.H.K.), Department of Radiology (B.Z., K.K.), and Department of Health Sciences Research (E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; Department of Neurology (X.G.), The affiliated ZhongShan Hospital of DaLian University, LiaoNing, China; Multiple Sclerosis Center (D.P., C.J.A.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (C.L.-F.), Hopital Pasteur, Nice, France; Cerrahpasa School of Medicine (A.S.), Istanbul University, Turkey; and Department of Neurology & Neurotherapeutics (D.T.O.), Clinical Center for Multiple Sclerosis, University of Texas Southwestern Medical Center, Dallas
| | - Christine Lebrun-Frenay
- Department of Neurology (B.Z., X.G., B.M.K., B.G.W., J.-M.T., O.H.K.), Department of Radiology (B.Z., K.K.), and Department of Health Sciences Research (E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; Department of Neurology (X.G.), The affiliated ZhongShan Hospital of DaLian University, LiaoNing, China; Multiple Sclerosis Center (D.P., C.J.A.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (C.L.-F.), Hopital Pasteur, Nice, France; Cerrahpasa School of Medicine (A.S.), Istanbul University, Turkey; and Department of Neurology & Neurotherapeutics (D.T.O.), Clinical Center for Multiple Sclerosis, University of Texas Southwestern Medical Center, Dallas
| | - Aksel Siva
- Department of Neurology (B.Z., X.G., B.M.K., B.G.W., J.-M.T., O.H.K.), Department of Radiology (B.Z., K.K.), and Department of Health Sciences Research (E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; Department of Neurology (X.G.), The affiliated ZhongShan Hospital of DaLian University, LiaoNing, China; Multiple Sclerosis Center (D.P., C.J.A.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (C.L.-F.), Hopital Pasteur, Nice, France; Cerrahpasa School of Medicine (A.S.), Istanbul University, Turkey; and Department of Neurology & Neurotherapeutics (D.T.O.), Clinical Center for Multiple Sclerosis, University of Texas Southwestern Medical Center, Dallas
| | - Darin T Okuda
- Department of Neurology (B.Z., X.G., B.M.K., B.G.W., J.-M.T., O.H.K.), Department of Radiology (B.Z., K.K.), and Department of Health Sciences Research (E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; Department of Neurology (X.G.), The affiliated ZhongShan Hospital of DaLian University, LiaoNing, China; Multiple Sclerosis Center (D.P., C.J.A.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (C.L.-F.), Hopital Pasteur, Nice, France; Cerrahpasa School of Medicine (A.S.), Istanbul University, Turkey; and Department of Neurology & Neurotherapeutics (D.T.O.), Clinical Center for Multiple Sclerosis, University of Texas Southwestern Medical Center, Dallas
| | - Kejal Kantarci
- Department of Neurology (B.Z., X.G., B.M.K., B.G.W., J.-M.T., O.H.K.), Department of Radiology (B.Z., K.K.), and Department of Health Sciences Research (E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; Department of Neurology (X.G.), The affiliated ZhongShan Hospital of DaLian University, LiaoNing, China; Multiple Sclerosis Center (D.P., C.J.A.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (C.L.-F.), Hopital Pasteur, Nice, France; Cerrahpasa School of Medicine (A.S.), Istanbul University, Turkey; and Department of Neurology & Neurotherapeutics (D.T.O.), Clinical Center for Multiple Sclerosis, University of Texas Southwestern Medical Center, Dallas
| | - Orhun H Kantarci
- Department of Neurology (B.Z., X.G., B.M.K., B.G.W., J.-M.T., O.H.K.), Department of Radiology (B.Z., K.K.), and Department of Health Sciences Research (E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; Department of Neurology (X.G.), The affiliated ZhongShan Hospital of DaLian University, LiaoNing, China; Multiple Sclerosis Center (D.P., C.J.A.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (C.L.-F.), Hopital Pasteur, Nice, France; Cerrahpasa School of Medicine (A.S.), Istanbul University, Turkey; and Department of Neurology & Neurotherapeutics (D.T.O.), Clinical Center for Multiple Sclerosis, University of Texas Southwestern Medical Center, Dallas
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Abstract
PURPOSE OF REVIEW This article focuses on neuroimaging in multiple sclerosis (MS), the most common central nervous system (CNS) demyelinating disorder encountered by practicing neurologists. Less common adult demyelinating disorders and incidental subclinical white matter abnormalities that are often considered in the differential diagnosis of MS are also reviewed. RECENT FINDINGS Advancements in neuroimaging techniques, eg, the application of ultrahigh-field MRI, are rapidly expanding the use of neuroimaging in CNS demyelinating disorders. Probably the most important recent findings include the detection of cortical lesions and CNS atrophy even in early stages of MS. The key development for practicing neurologists is the growing impact of MRI on the diagnostic criteria for MS and neuromyelitis optica (NMO) spectrum disorders. SUMMARY MRI serves as an important component of the diagnostic criteria for MS and other major CNS demyelinating disorders, and it has been established as a reliable and sensitive indicator of disease activity and progression. In addition, rapidly advancing neuroimaging techniques are helping to improve our understanding of disease pathogenesis.
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Sormani MP, Pardini M. Assessing Repair in Multiple Sclerosis: Outcomes for Phase II Clinical Trials. Neurotherapeutics 2017; 14:924-933. [PMID: 28695472 PMCID: PMC5722763 DOI: 10.1007/s13311-017-0558-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Multiple Sclerosis (MS) pathology is complex and includes inflammatory processes, neurodegeneration, and demyelination. While multiple drugs have been developed to tackle MS-related inflammation, to date there is scant evidence regarding which therapeutic approach, if any, could be used to reverse demyelination, foster tissue repair, and thus positively impact on chronic disability. Here, we reviewed the current structural and functional markers (magnetic resonance imaging, positron emission tomography, optical coherence tomography, and visual evoked potentials) which could be used in phase II clinical trials of new compounds aimed to foster tissue repair in MS. Magnetic transfer ratio recovery in newly formed lesions currently represents the most widely used biomarker of tissue repair in MS, even if other markers, such as optical coherence tomography and positron emission tomography hold great promise to complement magnetic transfer ratio in tissue repair clinical trials. Future studies are needed to better characterize the different possible biomarkers to study tissue repair in MS, especially regarding their pathological specificity, sensitivity to change, and their relationship with disease activity.
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Affiliation(s)
- Maria Pia Sormani
- Biostatistics Unit, Department of Health Sciences, University of Genoa, Genoa, Italy.
| | - Matteo Pardini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Maternal and Child Health, University of Genoa, Genoa, Italy
- Policlinic San Martino-IST, Genoa, Italy
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Rocca MA, Comi G, Filippi M. The Role of T1-Weighted Derived Measures of Neurodegeneration for Assessing Disability Progression in Multiple Sclerosis. Front Neurol 2017; 8:433. [PMID: 28928705 PMCID: PMC5591328 DOI: 10.3389/fneur.2017.00433] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Accepted: 08/08/2017] [Indexed: 12/26/2022] Open
Abstract
Introduction Multiple sclerosis (MS) is characterised by the accumulation of permanent neurological disability secondary to irreversible tissue loss (neurodegeneration) in the brain and spinal cord. MRI measures derived from T1-weighted image analysis (i.e., black holes and atrophy) are correlated with pathological measures of irreversible tissue loss. Quantifying the degree of neurodegeneration in vivo using MRI may offer a surrogate marker with which to predict disability progression and the effect of treatment. This review evaluates the literature examining the association between MRI measures of neurodegeneration derived from T1-weighted images and disability in MS patients. Methods A systematic PubMed search was conducted in January 2017 to identify MRI studies in MS patients investigating the relationship between “black holes” and/or atrophy in the brain and spinal cord, and disability. Results were limited to human studies published in English in the previous 10 years. Results A large number of studies have evaluated the association between the previous MRI measures and disability. These vary considerably in terms of study design, duration of follow-up, size, and phenotype of the patient population. Most, although not all, have shown that there is a significant correlation between disability and black holes in the brain, as well as atrophy of the whole brain and grey matter. The results for brain white matter atrophy are less consistently positive, whereas studies evaluating spinal cord atrophy consistently showed a significant correlation with disability. Newer ways of measuring atrophy, thanks to the development of segmentation and voxel-wise methods, have allowed us to assess the involvement of strategic regions of the CNS (e.g., thalamus) and to map the regional distribution of damage. This has resulted in better correlations between MRI measures and disability and in the identification of the critical role played by some CNS structures for MS clinical manifestations. Conclusion The evaluation of MRI measures of atrophy as predictive markers of disability in MS is a highly active area of research. At present, measurement of atrophy remains within the realm of clinical studies, but its utility in clinical practice has been recognized and barriers to its implementation are starting to be addressed.
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Affiliation(s)
- Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.,Department of Neurology, Institute of Experimental Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Giancarlo Comi
- Department of Neurology, Institute of Experimental Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.,Department of Neurology, Institute of Experimental Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
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Relevance of early cervical cord volume loss in the disease evolution of clinically isolated syndrome and early multiple sclerosis: a 2-year follow-up study. J Neurol 2017; 264:1402-1412. [PMID: 28600596 DOI: 10.1007/s00415-017-8537-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Revised: 05/30/2017] [Accepted: 05/31/2017] [Indexed: 10/19/2022]
Abstract
Upper cervical cord area (UCCA) atrophy is a prognostic marker for clinical progression in longstanding multiple sclerosis (MS). The objectives of the study were to quantify UCCA atrophy and evaluate its impact in clinically isolated syndrome (CIS) and relapsing-remitting MS (RRMS); to compare converting CIS patients with stable CIS, and to study changes of UCCA and brain white matter (WM) and grey matter (GM) at 2-year follow-up. 110 therapy-naive patients including 53 CIS [6 ± 6 months after symptom onset (SO)] and 57 early RRMS (SO: 12 ± 9 months) underwent sagittal 3D-T1w brain MR (3T). Mean UCCA (C1-C3 level), WM and GM, disability status (EDSS), pyramidal and sensory functional scores, motoric fatigue were assessed at baseline (BL), 12 and 24 months. Volumes were compared with 34 age- and gender-matched healthy controls to assess atrophy. RRMS (78.1 ± 8.7 mm2, p = 0.011) and converting CIS (77.3 ± 8.0 mm2, p = 0.046) presented with baseline UCCA atrophy, when compared with controls (82.7 ± 5.2 mm2), but not stable CIS (82.6 ± 7.4 mm2, p = 0.998). Baseline WM was reduced in RRMS (509.3 ± 25.7 ml vs. CONTROLS 528.4 ± 24.1 ml, p = 0.032). Baseline UCCA correlated negative with muscular weakness and fatigability in all patients and RRMS. EDSS exceeding 3 was associated with lower baseline UCCA. Longitudinal atrophy rates were higher in UCCA than in brain volumes. Early cervical cord atrophy in CIS and RRMS was confirmed and may represent a potential new risk marker for conversion from CIS to MS. Baseline atrophy and atrophy change rates were higher in UCCA compared to WM and GM, suggesting that cervical cord volumetry might become an additional MRI marker relevant in future clinical studies in CIS and early MS.
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Río J, Auger C, Rovira À. MR Imaging in Monitoring and Predicting Treatment Response in Multiple Sclerosis. Neuroimaging Clin N Am 2017; 27:277-287. [DOI: 10.1016/j.nic.2017.01.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Arrambide G, Rovira A, Sastre-Garriga J, Tur C, Castilló J, Río J, Vidal-Jordana A, Galán I, Rodríguez-Acevedo B, Midaglia L, Nos C, Mulero P, Arévalo MJ, Comabella M, Huerga E, Auger C, Montalban X, Tintore M. Spinal cord lesions: A modest contributor to diagnosis in clinically isolated syndromes but a relevant prognostic factor. Mult Scler 2017; 24:301-312. [DOI: 10.1177/1352458517697830] [Citation(s) in RCA: 67] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background: The usefulness of performing a spinal cord (SC) magnetic resonance imaging (MRI) in all clinically isolated syndromes (CIS) is controversial. Objective: To assess the value of SC lesions for predicting multiple sclerosis (MS) diagnosis and disability accrual in CIS. Methods: Concerning SC lesions and MS diagnosis (2010 McDonald), adjusted Cox regression analyses were performed in increasingly specific CIS groups: all cases ( n = 207), non-SC CIS ( n = 143), non-SC CIS with abnormal brain MRI ( n = 90) and non-SC CIS with abnormal brain MRI not fulfilling 2010 MS ( n = 67). For the outcome Expanded Disability Status Scale (EDSS) ≥3.0, similar analyses were performed in all cases ( n = 207), non-SC CIS ( n = 143) and SC CIS ( n = 64). Performance at 2 years was assessed for all outcomes. Results: The presence of SC lesions increased MS risk 2.0–2.6 times independently of factors like brain lesions. If considering lesion number, the risk ranged from 1.6 to 2.1 for one lesion to 2.4–3.3 for ≥2. SC lesions increased the short-term disability risk around fivefold, better demonstrated in non-SC CIS. SC lesions were very specific for evolution to MS and showed very high sensitivity for EDSS ≥3.0. Conclusion: SC lesions are independent predictors of MS in all CIS and contribute to short-term disability accrual. SC MRIs in CIS could be useful to estimate their prognosis.
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Affiliation(s)
- Georgina Arrambide
- Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Alex Rovira
- Magnetic Resonance Unit, Department of Radiology (IDI), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jaume Sastre-Garriga
- Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Carmen Tur
- Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Joaquín Castilló
- Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jordi Río
- Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Angela Vidal-Jordana
- Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ingrid Galán
- Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Breogán Rodríguez-Acevedo
- Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Luciana Midaglia
- Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Carlos Nos
- Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Patricia Mulero
- Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Maria Jesús Arévalo
- Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Manuel Comabella
- Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Elena Huerga
- Magnetic Resonance Unit, Department of Radiology (IDI), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Cristina Auger
- Magnetic Resonance Unit, Department of Radiology (IDI), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Xavier Montalban
- Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Mar Tintore
- Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
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Abstract
PURPOSE OF REVIEW We analyze recent data on technical aspects, clinical indications, and imaging features of spinal cord MRI in multiple sclerosis, and on the value of this examination for assessing the type and extension of spinal cord damage, and for predicting prognosis in patients with this disease. RECENT FINDINGS Spinal cord MRI on patients with multiple sclerosis is technically challenging and a standardized protocol that optimizes the accuracy of this examination is essential, particularly as recent studies have shown its value for diagnostic and prognostic purposes. Several recent studies have proven the potential value of new, quantitative spinal cord magnetic resonance metrics for assessing the type and degree of spinal cord damage. Although these measures can bring new insights into the understanding of the disease, there is not enough evidence to support their use outside the research scenario. SUMMARY Neurologists and neuroradiologists should be aware of the added value of conventional spinal cord MRI in the initial diagnosis and monitoring of multiple sclerosis. The use of advanced quantitative magnetic resonance techniques, which better assess the degree of irreversible tissue damage within the spinal cord, is mainly restricted to clinical research and cannot yet be incorporated into the daily clinical practice.
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Organization of the intrinsic functional network in the cervical spinal cord: A resting state functional MRI study. Neuroscience 2016; 336:30-38. [PMID: 27590264 DOI: 10.1016/j.neuroscience.2016.08.042] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2016] [Revised: 08/22/2016] [Accepted: 08/24/2016] [Indexed: 12/29/2022]
Abstract
Resting state functional magnetic resonance imaging (rsfMRI) has been extensively applied to investigate the organization of functional networks in the brain. As an essential part of the central nervous system (CNS), the spinal cord has not been well explored about its intrinsic functional network. In this study, we aim to thoroughly investigate the characteristics of the intrinsic functional network in the spinal cord using rsfMRI. Functional connectivity and graph theory analysis were employed to evaluate the organization of the functional network, including its topology and network communication properties. Furthermore, the reproducibility of rsfMRI analysis on the spinal cord was also examined by intra-class correlation (ICC). Comprehensive evaluation of the intrinsic functional organization presented a non-uniform distribution of topological characteristics of the functional network, in which the upper levels (C2 and C3 vertebral levels) of the cervical spinal cord showed high levels of connectivity. The present results revealed the significance of the upper cervical cord in the intrinsic functional network of the human cervical spinal cord. In addition, this study demonstrated the efficiency of the cervical spinal cord functional network and the reproducibility of rsfMRI analysis on the spinal cord was also confirmed. As knowledge expansion of intrinsic functional network from the brain to the spinal cord, this study shed light on the organization of the spinal cord functional network in both normal development and clinical disorders.
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45
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Brownlee WJ, Altmann DR, Alves Da Mota P, Swanton JK, Miszkiel KA, Wheeler-Kingshott CAMG, Ciccarelli O, Miller DH. Association of asymptomatic spinal cord lesions and atrophy with disability 5 years after a clinically isolated syndrome. Mult Scler 2016; 23:665-674. [DOI: 10.1177/1352458516663034] [Citation(s) in RCA: 93] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: Spinal cord pathology is an important substrate for long-term disability in multiple sclerosis (MS). Objective: To investigate longitudinal changes in spinal cord lesions and atrophy in patients with a non-spinal clinically isolated syndrome (CIS), and how they relate to the development of disability. Methods: In all, 131 patients with a non-spinal CIS had brain and spinal cord imaging at the time of CIS and approximately 5 years later (median: 5.2 years, range: 3.0–7.9 years). Brain magnetic resonance imaging (MRI) measures consisted of T2-hyperintense and T1-hypointense lesion loads plus brain atrophy. Spinal cord MRI measures consisted of lesion number and the upper cervical cord cross-sectional area (UCCA). Disability was measured using the Expanded Disability Status Scale (EDSS). Multiple linear regression was used to identify independent predictors of disability after 5 years. Results: During follow-up, 93 (71%) patients were diagnosed with MS. Baseline spinal cord lesion number, change in cord lesion number and change in UCCA were independently associated with EDSS ( R2 = 0.53) at follow-up. Including brain T2 lesion load and brain atrophy only modestly increased the predictive power of the model ( R2 = 0.64). Conclusion: Asymptomatic spinal cord lesions and spinal cord atrophy contribute to the development of MS-related disability over the first 5 years after a non-spinal CIS.
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Affiliation(s)
- WJ Brownlee
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - DR Altmann
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK/Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK
| | - P Alves Da Mota
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - JK Swanton
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - KA Miszkiel
- Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London, UK
| | - CAM Gandini Wheeler-Kingshott
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK/Brain Connectivity Center, C. Mondino National Neurological Institute, Pavia, Italy
| | - O Ciccarelli
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK/Biomedical Research Centre, NIHR University College London Hospitals, London, UK
| | - DH Miller
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK/Biomedical Research Centre, NIHR University College London Hospitals, London, UK
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46
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Rovira A, Auger C. Spinal Cord in Multiple Sclerosis: Magnetic Resonance Imaging Features and Differential Diagnosis. Semin Ultrasound CT MR 2016; 37:396-410. [PMID: 27616313 DOI: 10.1053/j.sult.2016.05.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Multiple sclerosis (MS) is an idiopathic inflammatory disorder of the central nervous system that affects not only the brain but also the spinal cord. In the diagnostic and monitoring process of MS, spinal cord magnetic resonance imaging (MRI) is not performed as commonly as brain MRI, mainly because of certain technical difficulties and the increase in total acquisition time. Nonetheless, spinal cord MRI findings are important to establish a prompt accurate diagnosis of MS, impart prognostic information, and provide valuable data for monitoring the disease course in certain cases. In this article, we discuss the technical aspects of spinal cord MRI, the typical MRI features of the spinal cord in MS, the clinical indications for this examination, and the differential diagnosis with other disorders that may produce similar clinical or MRI findings.
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Affiliation(s)
- Alex Rovira
- Department of Radiology, Hospital Vall d'Hebron, Autonomous University of Barcelona, Barcelona, Spain.
| | - Cristina Auger
- Department of Radiology, Hospital Vall d'Hebron, Autonomous University of Barcelona, Barcelona, Spain
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Liu Y, Lukas C, Steenwijk MD, Daams M, Versteeg A, Duan Y, Li K, Weiler F, Hahn HK, Wattjes MP, Barkhof F, Vrenken H. Multicenter Validation of Mean Upper Cervical Cord Area Measurements from Head 3D T1-Weighted MR Imaging in Patients with Multiple Sclerosis. AJNR Am J Neuroradiol 2015; 37:749-54. [PMID: 26659338 DOI: 10.3174/ajnr.a4635] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2015] [Accepted: 08/27/2015] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Spinal cord atrophy is a common and clinically relevant characteristic in multiple sclerosis. We aimed to perform a multicenter validation study of mean upper cervical cord area measurements in patients with multiple sclerosis and healthy controls from head MR images and to explore the effect of gadolinium administration on mean upper cervical cord area measurements. MATERIALS AND METHODS We recruited 97 subjects from 3 centers, including 60 patients with multiple sclerosis of different disease types and 37 healthy controls. Both cervical cord and head 3D T1-weighted images were acquired. In 11 additional patients from 1 center, head images before and after gadolinium administration and cervical cord images after gadolinium administration were acquired. The mean upper cervical cord area was compared between cervical cord and head images by using intraclass correlation coefficients (ICC) for both consistency (ICCconsist) and absolute (ICCabs) agreement. RESULTS There was excellent agreement of mean upper cervical cord area measurements from head and cervical cord images in the entire group (ICCabs = 0.987) and across centers and disease subtypes. The mean absolute difference between the mean upper cervical cord area measured from head and cervical cord images was 2 mm(2) (2.3%). Additionally, excellent agreement was found between the mean upper cervical cord area measured from head images with and without gadolinium administration (ICCabs = 0.991) and between the cervical cord and head images with gadolinium administration (ICCabs = 0.992). CONCLUSIONS Excellent agreement between mean upper cervical cord area measurements on head and cervical cord images was observed in this multicenter study, implying that upper cervical cord atrophy can be reliably measured from head images. Postgadolinium head or cervical cord images may also be suitable for measuring mean upper cervical cord area.
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Affiliation(s)
- Y Liu
- From the Department of Radiology (Y.L., Y.D., K.L.), Xuanwu Hospital, Capital Medical University, Beijing, P.R. China Department of Radiology and Nuclear Medicine (Y.L., M.D.S., M.D., A.V., M.P.W., F.B., H.V.), Neuroscience Campus Amsterdam Department of Neurology and Tianjin Neurological Institute (Y.L.), Tianjin Medical University, General Hospital, Tianjin, P.R. China
| | - C Lukas
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine (C.L.), St. Josef Hospital, Ruhr University, Bochum, Germany
| | - M D Steenwijk
- Department of Radiology and Nuclear Medicine (Y.L., M.D.S., M.D., A.V., M.P.W., F.B., H.V.), Neuroscience Campus Amsterdam
| | - M Daams
- Department of Radiology and Nuclear Medicine (Y.L., M.D.S., M.D., A.V., M.P.W., F.B., H.V.), Neuroscience Campus Amsterdam Department of Anatomy and Neurosciences (M.D.), Section of Clinical Neuroscience
| | - A Versteeg
- Department of Radiology and Nuclear Medicine (Y.L., M.D.S., M.D., A.V., M.P.W., F.B., H.V.), Neuroscience Campus Amsterdam
| | - Y Duan
- From the Department of Radiology (Y.L., Y.D., K.L.), Xuanwu Hospital, Capital Medical University, Beijing, P.R. China
| | - K Li
- From the Department of Radiology (Y.L., Y.D., K.L.), Xuanwu Hospital, Capital Medical University, Beijing, P.R. China
| | - F Weiler
- Fraunhofer MEVIS, Institute for Medical Image Computing (F.W., H.K.H.), Bremen, Germany
| | - H K Hahn
- Fraunhofer MEVIS, Institute for Medical Image Computing (F.W., H.K.H.), Bremen, Germany
| | - M P Wattjes
- Department of Radiology and Nuclear Medicine (Y.L., M.D.S., M.D., A.V., M.P.W., F.B., H.V.), Neuroscience Campus Amsterdam
| | - F Barkhof
- Department of Radiology and Nuclear Medicine (Y.L., M.D.S., M.D., A.V., M.P.W., F.B., H.V.), Neuroscience Campus Amsterdam
| | - H Vrenken
- Department of Radiology and Nuclear Medicine (Y.L., M.D.S., M.D., A.V., M.P.W., F.B., H.V.), Neuroscience Campus Amsterdam Department of Physics and Medical Technology (H.V.), Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
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Farber RS, Sand IK. Optimizing the initial choice and timing of therapy in relapsing-remitting multiple sclerosis. Ther Adv Neurol Disord 2015; 8:212-32. [PMID: 26557897 DOI: 10.1177/1756285615598910] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
With 12 available US Food and Drug Administration approved medications for the treatment of relapsing multiple sclerosis (MS), choosing an initial therapy is no longer a straightforward task. Each disease-modifying therapy (DMT) has a distinct risk-benefit profile and each patient is an individual. Therefore, the development of a simple algorithm to apply in selecting initial therapy is not feasible. Instead, the prescribing physician must consider many factors related to the treatments themselves, such as efficacy, safety, and tolerability, while also taking into account a particular patient's disease characteristics, personal preferences, comorbid illnesses and reproductive plans. The efficacy of each drug may be assessed through clinical trial data, although these data are limited by scarcity of direct comparisons among the different agents and lack of availability of biomarkers to predict an individual patient's response. Differences in safety profiles help to distinguish the various DMTs and influence selection of agent; both the known safety concerns, which can be addressed with risk mitigation and monitoring strategies, and the potential for yet undiscovered safety issues must be assessed, and an individual patient's comfort level with the risks and ability to comply with monitoring must be determined. Potential issues related to tolerability, which largely relate to matters of patient personal preference and lifestyle, should also be factored into the decision-making process. With regard to the timing of therapy initiation, it must be acknowledged that long-term benefits of early DMT have not yet been definitively demonstrated. Nonetheless, starting DMT early in the MS disease course has been shown to have a beneficial effect on relapse prevention, and appears to curtail the atrophy and neurodegenerative changes that are now known to begin at disease onset. Although under certain circumstances there are acceptable reasons for deferring treatment, it is generally recommended that DMT is initiated early in the disease course.
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Affiliation(s)
| | - Ilana K Sand
- Icahn School of Medicine at Mount Sinai, 5 East 98th Street, Box 1138, New York, NY 10029, USA
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Abstract
Multiple sclerosis (MS) is an inflammatory disorder of the CNS that affects both the brain and the spinal cord. MRI studies in MS focus more often on the brain than on the spinal cord, owing to the technical challenges in imaging this smaller, mobile structure. However, spinal cord abnormalities at disease onset have important implications for diagnosis and prognosis. Furthermore, later in the disease course, in progressive MS, myelopathy becomes the primary characteristic of the clinical presentation, and extensive spinal cord pathology--including atrophy, diffuse abnormalities and numerous focal lesions--is common. Recent spinal cord imaging studies have employed increasingly sophisticated techniques to improve detection and quantification of spinal cord lesions, and to elucidate their relationship with physical disability. Quantitative MRI measures of cord size and tissue integrity could be more sensitive to the axonal loss and other pathological processes in the spinal cord than is conventional MRI, putting quantitative MRI in a key role to elucidate the association between disability and spinal cord abnormalities seen in people with MS. In this Review, we summarize the most recent MS spinal cord imaging studies and discuss the new insights they have provided into the mechanisms of neurological impairment. Finally, we suggest directions for further and future research.
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