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De Marchis GM, Krisai P, Werlen L, Sinnecker T, Aeschbacher S, Dittrich TD, Polymeris AA, Coslovksy M, Blum MR, Rodondi N, Reichlin T, Moschovitis G, Wuerfel J, Lyrer PA, Fischer U, Conen D, Kastner P, Ziegler A, Osswald S, Kühne M, Bonati LH. Biomarker, Imaging, and Clinical Factors Associated With Overt and Covert Stroke in Patients With Atrial Fibrillation. Stroke 2023; 54:2542-2551. [PMID: 37548011 PMCID: PMC10519288 DOI: 10.1161/strokeaha.123.043302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 06/24/2023] [Accepted: 06/29/2023] [Indexed: 08/08/2023]
Abstract
BACKGROUND Atrial fibrillation is a major risk factor for stroke and silent brain infarcts. We studied whether a multimodal approach offers additional insights to the CHA2DS2-VASc score in predicting stroke or new brain infarcts on magnetic resonance imaging (MRI) over a 2-year follow-up. METHODS Swiss-AF is a prospective, multicenter cohort study of patients with known atrial fibrillation. We included patients with available brain MRI both at enrollment and 2 years later. The dates of the baseline and follow-up visits ranged from March 2014 to November 2020. The primary outcome was assessed 2 years after baseline and was defined as a composite of clinically identified stroke or any new brain infarct on the 2-year MRI. We compared a multivariable logistic regression model including prespecified clinical, biomarker, and baseline MRI variables to the CHA2DS2-VASc score. RESULTS We included 1232 patients, 89.8% of them taking oral anticoagulants. The primary outcome occurred in 78 patients (6.3%). The following baseline variables were included in the final multivariate model and were significantly associated with the primary outcome: white matter lesion volume in milliliters (adjusted odds ratio [aOR], 1.91 [95% CI, 1.45-2.56]), NT-proBNP (N-terminal pro-B-type natriuretic peptide; aOR, 1.75 [95% CI, 1.20-2.63]), GDF-15 (growth differentiation factor-15; aOR, 1.68 [95% CI, 1.11-2.53]), serum creatinine (aOR, 1.50 [95% CI, 1.02-2.22]), IL (interleukin)-6 (aOR, 1.37 [95% CI, 1.00-1.86]), and hFABP (heart-type fatty acid-binding protein; aOR, 0.48 [95% CI, 0.31-0.73]). Overall performance and discrimination of the new model was superior to that of the CHA2DS2-VASc score (C statistic, 0.82 [95% CI, 0.77-0.87] versus 0.64 [95% CI, 0.58-0.70]). CONCLUSIONS In patients with atrial fibrillation, a model incorporating white matter lesion volume on baseline MRI and selected blood markers yielded new insights on residual stroke risk despite a high proportion of patients on oral anticoagulants. This may be relevant to develop further preventive measures.
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Affiliation(s)
- Gian Marco De Marchis
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Switzerland (G.M.D.M., T.S., T.D.D., A.A.P., P.A.L., U.F., L.H.B.)
- Department of Clinical Research (G.M.D.M., L.W., S.A., T.D.D., M.C., P.A.L., U.F., L.H.B.), University of Basel, Switzerland
- Department of Neurology and Stroke Center, Kantonsspital St.Gallen, Switzerland (G.M.D.M., T.D.D.)
| | - Philipp Krisai
- Cardiology Division, Department of Medicine, University Hospital Basel, Switzerland (P.K., M.C., S.O., M.K.)
| | - Laura Werlen
- Department of Clinical Research (G.M.D.M., L.W., S.A., T.D.D., M.C., P.A.L., U.F., L.H.B.), University of Basel, Switzerland
| | - Tim Sinnecker
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Switzerland (G.M.D.M., T.S., T.D.D., A.A.P., P.A.L., U.F., L.H.B.)
- Department of Biomedical Engineering, Medical Image Analysis Center AG and Qbig (T.S., J.W.), University of Basel, Switzerland
| | - Stefanie Aeschbacher
- Department of Clinical Research (G.M.D.M., L.W., S.A., T.D.D., M.C., P.A.L., U.F., L.H.B.), University of Basel, Switzerland
| | - Tolga D. Dittrich
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Switzerland (G.M.D.M., T.S., T.D.D., A.A.P., P.A.L., U.F., L.H.B.)
- Department of Clinical Research (G.M.D.M., L.W., S.A., T.D.D., M.C., P.A.L., U.F., L.H.B.), University of Basel, Switzerland
- Department of Neurology and Stroke Center, Kantonsspital St.Gallen, Switzerland (G.M.D.M., T.D.D.)
| | - Alexandros A. Polymeris
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Switzerland (G.M.D.M., T.S., T.D.D., A.A.P., P.A.L., U.F., L.H.B.)
| | - Michael Coslovksy
- Department of Clinical Research (G.M.D.M., L.W., S.A., T.D.D., M.C., P.A.L., U.F., L.H.B.), University of Basel, Switzerland
- Cardiology Division, Department of Medicine, University Hospital Basel, Switzerland (P.K., M.C., S.O., M.K.)
| | - Manuel R. Blum
- Institute of Primary Health Care (BIHAM) (M.R.B., N.R.), University of Bern, Switzerland
- Department of General Internal Medicine, Inselspital, Bern University Hospital (M.R.B., N.R.), University of Bern, Switzerland
| | - Nicolas Rodondi
- Institute of Primary Health Care (BIHAM) (M.R.B., N.R.), University of Bern, Switzerland
- Department of General Internal Medicine, Inselspital, Bern University Hospital (M.R.B., N.R.), University of Bern, Switzerland
| | - Tobias Reichlin
- Department of Cardiology, Inselspital, Bern University Hospital (T.R.), University of Bern, Switzerland
| | - Giorgio Moschovitis
- Cardiology Division, Ente Ospedaliero Cantonale, Istituto Cardiocentro Ticino, Regional Hospital of Lugano, Switzerland (G.M.)
| | - Jens Wuerfel
- Department of Biomedical Engineering, Medical Image Analysis Center AG and Qbig (T.S., J.W.), University of Basel, Switzerland
| | - Philippe A. Lyrer
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Switzerland (G.M.D.M., T.S., T.D.D., A.A.P., P.A.L., U.F., L.H.B.)
- Department of Clinical Research (G.M.D.M., L.W., S.A., T.D.D., M.C., P.A.L., U.F., L.H.B.), University of Basel, Switzerland
| | - Urs Fischer
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Switzerland (G.M.D.M., T.S., T.D.D., A.A.P., P.A.L., U.F., L.H.B.)
- Department of Clinical Research (G.M.D.M., L.W., S.A., T.D.D., M.C., P.A.L., U.F., L.H.B.), University of Basel, Switzerland
- Department of Neurology, University Hospital Bern, Switzerland (U.F.)
| | - David Conen
- Population Health Research Institute, McMaster University, Hamilton, Canada (D.C.)
| | - Peter Kastner
- Roche Diagnostics GmbH, Penzberg, Germany (P.K., A.Z.)
| | - André Ziegler
- Roche Diagnostics GmbH, Penzberg, Germany (P.K., A.Z.)
| | - Stefan Osswald
- Cardiology Division, Department of Medicine, University Hospital Basel, Switzerland (P.K., M.C., S.O., M.K.)
| | - Michael Kühne
- Cardiovascular Research Institute Basel, Switzerland (P.K., S.A., S.O., M.K.)
| | - Leo H. Bonati
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Switzerland (G.M.D.M., T.S., T.D.D., A.A.P., P.A.L., U.F., L.H.B.)
- Department of Clinical Research (G.M.D.M., L.W., S.A., T.D.D., M.C., P.A.L., U.F., L.H.B.), University of Basel, Switzerland
- Rheinfelden Rehabilitation Clinic, Switzerland (L.H.B.)
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Todea AR, Melie-Garcia L, Barakovic M, Cagol A, Rahmanzadeh R, Galbusera R, Lu PJ, Weigel M, Ruberte E, Radue EW, Schaedelin S, Benkert P, Oezguer Y, Sinnecker T, Müller S, Achtnichts L, Vehoff J, Disanto G, Findling O, Chan A, Salmen A, Pot C, Lalive P, Bridel C, Zecca C, Derfuss T, Remonda L, Wagner F, Vargas M, Du Pasquier R, Pravata E, Weber J, Gobbi C, Leppert D, Wuerfel J, Kober T, Marechal B, Corredor-Jerez R, Psychogios M, Lieb J, Kappos L, Cuadra MB, Kuhle J, Granziera C. A Multicenter Longitudinal MRI Study Assessing LeMan-PV Software Accuracy in the Detection of White Matter Lesions in Multiple Sclerosis Patients. J Magn Reson Imaging 2023; 58:864-876. [PMID: 36708267 DOI: 10.1002/jmri.28618] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 01/13/2023] [Accepted: 01/14/2023] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Detecting new and enlarged lesions in multiple sclerosis (MS) patients is needed to determine their disease activity. LeMan-PV is a software embedded in the scanner reconstruction system of one vendor, which automatically assesses new and enlarged white matter lesions (NELs) in the follow-up of MS patients; however, multicenter validation studies are lacking. PURPOSE To assess the accuracy of LeMan-PV for the longitudinal detection NEL white-matter MS lesions in a multicenter clinical setting. STUDY TYPE Retrospective, longitudinal. SUBJECTS A total of 206 patients with a definitive MS diagnosis and at least two follow-up MRI studies from five centers participating in the Swiss Multiple Sclerosis Cohort study. Mean age at first follow-up = 45.2 years (range: 36.9-52.8 years); 70 males. FIELD STRENGTH/SEQUENCE Fluid attenuated inversion recovery (FLAIR) and T1-weighted magnetization prepared rapid gradient echo (T1-MPRAGE) sequences at 1.5 T and 3 T. ASSESSMENT The study included 313 MRI pairs of datasets. Data were analyzed with LeMan-PV and compared with a manual "reference standard" provided by a neuroradiologist. A second rater (neurologist) performed the same analysis in a subset of MRI pairs to evaluate the rating-accuracy. The Sensitivity (Se), Specificity (Sp), Accuracy (Acc), F1-score, lesion-wise False-Positive-Rate (aFPR), and other measures were used to assess LeMan-PV performance for the detection of NEL at 1.5 T and 3 T. The performance was also evaluated in the subgroup of 123 MRI pairs at 3 T. STATISTICAL TESTS Intraclass correlation coefficient (ICC) and Cohen's kappa (CK) were used to evaluate the agreement between readers. RESULTS The interreader agreement was high for detecting new lesions (ICC = 0.97, Pvalue < 10-20 , CK = 0.82, P value = 0) and good (ICC = 0.75, P value < 10-12 , CK = 0.68, P value = 0) for detecting enlarged lesions. Across all centers, scanner field strengths (1.5 T, 3 T), and for NEL, LeMan-PV achieved: Acc = 61%, Se = 65%, Sp = 60%, F1-score = 0.44, aFPR = 1.31. When both follow-ups were acquired at 3 T, LeMan-PV accuracy was higher (Acc = 66%, Se = 66%, Sp = 66%, F1-score = 0.28, aFPR = 3.03). DATA CONCLUSION In this multicenter study using clinical data settings acquired at 1.5 T and 3 T, and variations in MRI protocols, LeMan-PV showed similar sensitivity in detecting NEL with respect to other recent 3 T multicentric studies based on neural networks. While LeMan-PV performance is not optimal, its main advantage is that it provides automated clinical decision support integrated into the radiological-routine flow. EVIDENCE LEVEL 4 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Alexandra Ramona Todea
- Department of Neuroradiology, Clinic of Radiology and Nuclear Medicine, University Hospital of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Lester Melie-Garcia
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Muhamed Barakovic
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Alessandro Cagol
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Reza Rahmanzadeh
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Riccardo Galbusera
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Po-Jui Lu
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Matthias Weigel
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Division of Radiological Physics, Department of Radiology, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Esther Ruberte
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Ernst-Wilhelm Radue
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Sabine Schaedelin
- Clinical Trial Unit, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Pascal Benkert
- Clinical Trial Unit, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Yaldizli Oezguer
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Tim Sinnecker
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Medical Image Analysis Center (MIAC) and qbig, Department of Biomedical Engineering, University Basel, Basel, Switzerland
| | - Stefanie Müller
- Department of Neurology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Lutz Achtnichts
- Department of Neurology, Cantonal Hospital Aarau, Switzerland
| | - Jochen Vehoff
- Department of Neurology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Giulio Disanto
- Department of Neurology, Neurocenter of Southern Switzerland, EOC, Lugano, Switzerland
| | - Oliver Findling
- Department of Neurology, Cantonal Hospital Aarau, Switzerland
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Anke Salmen
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Caroline Pot
- Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Patrice Lalive
- Department of Clinical Neurosciences, Geneva University Hospital and Faculty of Medicine, Geneva, Switzerland
| | - Claire Bridel
- Department of Clinical Neurosciences, Geneva University Hospital and Faculty of Medicine, Geneva, Switzerland
| | - Chiara Zecca
- Department of Neurology, Neurocenter of Southern Switzerland, EOC, Lugano, Switzerland
- Faculty of Biomedical Sciences, University of Italian Switzerland, Lugano, Switzerland
| | - Tobias Derfuss
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Luca Remonda
- Department of Radiology, Cantonal Hospital Aarau, Switzerland
| | - Franca Wagner
- Department of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Maria Vargas
- Department of Radiology, Geneva University Hospital and Faculty of Medicine, Geneva, Switzerland
| | - Renaud Du Pasquier
- Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Emanuele Pravata
- Faculty of Biomedical Sciences, University of Italian Switzerland, Lugano, Switzerland
- Department of Neuroradiology, Neurocenter of Southern Switzerland, Lugano, Switzerland
| | - Johannes Weber
- Department of Radiology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Claudio Gobbi
- Department of Neurology, Neurocenter of Southern Switzerland, EOC, Lugano, Switzerland
- Faculty of Biomedical Sciences, University of Italian Switzerland, Lugano, Switzerland
| | - David Leppert
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center (MIAC) and qbig, Department of Biomedical Engineering, University Basel, Basel, Switzerland
| | - Tobias Kober
- Advanced Clinical Imaging Technology, Siemens Healthineers International, Lausanne, Switzerland
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- LTS5, École Polytechnique FÉdÉrale de Lausanne (EPFL), Lausanne, Switzerland
| | - Benedicte Marechal
- Advanced Clinical Imaging Technology, Siemens Healthineers International, Lausanne, Switzerland
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- LTS5, École Polytechnique FÉdÉrale de Lausanne (EPFL), Lausanne, Switzerland
| | - Ricardo Corredor-Jerez
- Advanced Clinical Imaging Technology, Siemens Healthineers International, Lausanne, Switzerland
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- LTS5, École Polytechnique FÉdÉrale de Lausanne (EPFL), Lausanne, Switzerland
| | - Marios Psychogios
- Department of Neuroradiology, Clinic of Radiology and Nuclear Medicine, University Hospital of Basel, Basel, Switzerland
| | - Johanna Lieb
- Department of Neuroradiology, Clinic of Radiology and Nuclear Medicine, University Hospital of Basel, Basel, Switzerland
| | - Ludwig Kappos
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Meritxell Bach Cuadra
- CIBM Center for Biomedical Imaging, Radiology Department, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Jens Kuhle
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Cristina Granziera
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
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Herber E, Aeschbacher S, Coslovsky M, Schwendinger F, Hennings E, Gasser A, Di Valentino M, Rigamonti E, Reichlin T, Rodondi N, Netzer S, Beer JH, Stauber A, Müller A, Ammann P, Sinnecker T, Duering M, Wuerfel J, Conen D, Kühne M, Osswald S, Bonati LH. Physical activity and brain health in patients with atrial fibrillation. Eur J Neurol 2023; 30:567-577. [PMID: 36478335 DOI: 10.1111/ene.15660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 11/25/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND PURPOSE Vascular brain lesions, such as ischemic infarcts, are common among patients with atrial fibrillation (AF) and are associated with impaired cognitive function. The role of physical activity (PA) in the prevalence of brain lesions and cognition in AF has not been investigated. METHODS Patients from the multicenter Swiss-AF cohort study were included in this cross-sectional analysis. We assessed regular exercise (RE; at least once weekly) and minutes of weekly PA using a validated questionnaire. We studied associations with ischemic infarcts, white matter hyperintensities, cerebral microbleeds, and brain volume on brain magnetic resonance imaging and with global cognition measured with a cognitive construct (CoCo) score. RESULTS Among 1490 participants (mean age = 72 ± 9 years), 730 (49%) engaged in RE. In adjusted regression analyses, RE was associated with a lower prevalence of ischemic infarcts (odds ratio [OR] = 0.78, 95% confidence interval [CI] = 0.63-0.98, p = 0.03) and of moderate to severe white matter hyperintensities (OR = 0.78, 95% CI = 0.62-0.99, p = 0.04), higher brain volume (β-coefficient = 10.73, 95% CI = 2.37-19.09, p = 0.01), and higher CoCo score (β-coefficient = 0.08, 95% CI = 0.03-0.12, p < 0.001). Increasing weekly PA was associated with higher brain volume (β-coefficient = 1.40, 95% CI = 0.65-2.15, p < 0.001). CONCLUSIONS In AF patients, RE was associated with a lower prevalence of ischemic infarcts and of moderate to severe white matter disease, with larger brain volume, and with better cognitive performance. Prospective studies are needed to investigate whether these associations are causal. Until then, our findings suggest that patients with AF should be encouraged to remain physically active.
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Affiliation(s)
- Elena Herber
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
- Cardiology Division, Department of Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Stefanie Aeschbacher
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
- Cardiology Division, Department of Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Michael Coslovsky
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
- Cardiology Division, Department of Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
- Clinical Trial Unit Basel, Department of Clinical Research, University Hospital Basel, Basel, Switzerland
| | - Fabian Schwendinger
- Division of Sports and Exercise Medicine, Department of Sport, Exercise, and Health, University Basel, Basel, Switzerland
| | - Elisa Hennings
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
- Cardiology Division, Department of Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Andreas Gasser
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
| | | | - Elia Rigamonti
- Department of Internal Medicine, Cantonal Hospital Authority, Lugano, Switzerland
| | - Tobias Reichlin
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Nicolas Rodondi
- Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Institute of Primary Health Care, University of Bern, Bern, Switzerland
| | - Seraina Netzer
- Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Institute of Primary Health Care, University of Bern, Bern, Switzerland
| | - Juerg H Beer
- Department of Medicine, Cantonal Hospital of Baden and Molecular Cardiology, University Hospital of Zurich, Zurich, Switzerland
| | - Annina Stauber
- Department of Cardiology, Triemli Hospital Zurich, Zurich, Switzerland
| | - Andreas Müller
- Department of Cardiology, Triemli Hospital Zurich, Zurich, Switzerland
| | - Peter Ammann
- Department of Cardiology, St. Gallen Cantonal Hospital, St. Gallen, Switzerland
| | - Tim Sinnecker
- Medical Image Analysis Center and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Marco Duering
- Medical Image Analysis Center and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
- Department of Radiology, University Hospital Magdeburg, Magdeburg, Germany
| | - David Conen
- Population Health Research Institute, McMaster University, Hamilton, Canada
| | - Michael Kühne
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
- Cardiology Division, Department of Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Stefan Osswald
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
- Cardiology Division, Department of Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Leo H Bonati
- Department of Neurology and Stroke Center, University Hospital Basel, University of Basel, Basel, Switzerland
- Research Department, Reha Rheinfelden, Rheinfelden, Switzerland
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4
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Bennett JL, Fujihara K, Kim HJ, Marignier R, O'Connor KC, Sergott RC, Traboulsee A, Wiendl H, Wuerfel J, Zamvil SS, Anania VG, Buffels R, Künzel T, Lekkerkerker AN, Lennon-Chrimes S, Pittock SJ. SAkuraBONSAI: Protocol design of a novel, prospective study to explore clinical, imaging, and biomarker outcomes in patients with AQP4-IgG-seropositive neuromyelitis optica spectrum disorder receiving open-label satralizumab. Front Neurol 2023; 14:1114667. [PMID: 36873431 PMCID: PMC9982113 DOI: 10.3389/fneur.2023.1114667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 01/26/2023] [Indexed: 02/19/2023] Open
Abstract
Background Neuromyelitis optica spectrum disorder (NMOSD) is a rare, autoimmune disease of the central nervous system that produces acute, unpredictable relapses causing cumulative neurological disability. Satralizumab, a humanized, monoclonal recycling antibody that targets the interleukin-6 receptor, reduced NMOSD relapse risk vs. placebo in two Phase 3 trials: SAkuraSky (satralizumab ± immunosuppressive therapy; NCT02028884) and SAkuraStar (satralizumab monotherapy; NCT02073279). Satralizumab is approved to treat aquaporin-4 IgG-seropositive (AQP4-IgG+) NMOSD. SAkuraBONSAI (NCT05269667) will explore fluid and imaging biomarkers to better understand the mechanism of action of satralizumab and the neuronal and immunological changes following treatment in AQP4-IgG+ NMOSD. Objectives SAkuraBONSAI will evaluate clinical disease activity measures, patient-reported outcomes (PROs), pharmacokinetics, and safety of satralizumab in AQP4-IgG+ NMOSD. Correlations between imaging markers (magnetic resonance imaging [MRI] and optical coherence tomography [OCT]) and blood and cerebrospinal fluid (CSF) biomarkers will be investigated. Study design SAkuraBONSAI is a prospective, open-label, multicenter, international, Phase 4 study that will enroll approximately 100 adults (18-74 years) with AQP4-IgG+ NMOSD. This study includes two patient cohorts: newly diagnosed, treatment-naïve patients (Cohort 1; n = 60); and inadequate responders to recent (<6 months) rituximab infusion (Cohort 2; n = 40). Satralizumab monotherapy (120 mg) will be administered subcutaneously at Weeks 0, 2, 4, and Q4W thereafter for a total of 92 weeks. Endpoints Disease activity related to relapses (proportion relapse-free, annualized relapse rate, time to relapse, and relapse severity), disability progression (Expanded Disability Status Scale), cognition (Symbol Digit Modalities Test), and ophthalmological changes (visual acuity; National Eye Institute Visual Function Questionnaire-25) will all be assessed. Peri-papillary retinal nerve fiber layer and ganglion cell complex thickness will be monitored using advanced OCT (retinal nerve fiber layer and ganglion cell plus inner plexiform layer thickness). Lesion activity and atrophy will be monitored by MRI. Pharmacokinetics, PROs, and blood and CSF mechanistic biomarkers will be assessed regularly. Safety outcomes include the incidence and severity of adverse events. Conclusions SAkuraBONSAI will incorporate comprehensive imaging, fluid biomarker, and clinical assessments in patients with AQP4-IgG+ NMOSD. SAkuraBONSAI will provide new insights into the mechanism of action of satralizumab in NMOSD, while offering the opportunity to identify clinically relevant neurological, immunological, and imaging markers.
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Affiliation(s)
- Jeffrey L. Bennett
- Programs in Neuroscience and Immunology, Departments of Neurology and Ophthalmology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Kazuo Fujihara
- Department of Multiple Sclerosis Therapeutics, Fukushima Medical University School of Medicine, Multiple Sclerosis and Neuromyelitis Optica Center, Southern TOHOKU Research Institute for Neuroscience, Koriyama, Japan
| | - Ho Jin Kim
- Department of Neurology, National Cancer Center, Goyang, Republic of Korea
| | - Romain Marignier
- Service de Neurologie, Sclérose en Plaques, Pathologies de la Myéline et Neuroinflammation, Centre de Référence des Maladies Inflammatoires Rares du Cerveau et de la Moelle, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Lyon, France
| | - Kevin C. O'Connor
- Departments of Neurology and Immunobiology, Yale University School of Medicine, New Haven, CT, United States
| | - Robert C. Sergott
- Annesley EyeBrain Center, Wills Eye Hospital, Thomas Jefferson University, Philadelphia, PA, United States
| | - Anthony Traboulsee
- Department of Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada
| | - Heinz Wiendl
- Department of Neurology, University of Muenster, Münster, Germany
| | - Jens Wuerfel
- Medical Image Analysis Centre (MIAC AG) and University of Basel, Basel, Switzerland
- F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Scott S. Zamvil
- Department of Neurology and Program in Immunology, University of California, San Francisco, San Francisco, CA, United States
| | | | | | | | | | | | - Sean J. Pittock
- Department of Neurology, Center for MS and Autoimmune Neurology, Mayo Clinic, Rochester, MN, United States
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5
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Luciani M, Müller D, Vanetta C, Diteepeng T, von Eckardstein A, Aeschbacher S, Rodondi N, Moschovitis G, Reichlin T, Sinnecker T, Wuerfel J, Bonati LH, Saeedi Saravi SS, Chocano-Bedoya P, Coslovsky M, Camici GG, Lüscher TF, Kuehne M, Osswald S, Conen D, Beer JH. Trimethylamine-N-oxide is associated with cardiovascular mortality and vascular brain lesions in patients with atrial fibrillation. Heart 2023; 109:396-404. [PMID: 36593094 DOI: 10.1136/heartjnl-2022-321300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 11/17/2022] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVE Trimethylamine-N-oxide (TMAO) is a metabolite derived from the microbial processing of dietary phosphatidylcholine and carnitine and the subsequent hepatic oxidation. Due to its prothrombotic and inflammatory mechanisms, we aimed to assess its role in the prediction of adverse events in a susceptible population, namely patients with atrial fibrillation. METHODS Baseline TMAO plasma levels were measured by liquid chromatography-tandem mass spectrometry in 2379 subjects from the ongoing Swiss Atrial Fibrillation cohort. 1722 underwent brain MRI at baseline. Participants were prospectively followed for 4 years (Q1-Q3: 3.0-5.0) and stratified into baseline TMAO tertiles. Cox proportional hazards and linear and logistic mixed effect models were employed adjusting for risk factors. RESULTS Subjects in the highest TMAO tertile were older (75.4±8.1 vs 70.6±8.5 years, p<0.01), had poorer renal function (median glomerular filtration rate: 49.0 mL/min/1.73 m2 (35.6-62.5) vs 67.3 mL/min/1.73 m2 (57.8-78.9), p<0.01), were more likely to have diabetes (26.9% vs 9.1%, p<0.01) and had a higher prevalence of heart failure (37.9% vs 15.8%, p<0.01) compared with patients in the lowest tertile. Oral anticoagulants were taken by 89.1%, 94.0% and 88.2% of participants, respectively (from high to low tertiles). Cox models, adjusting for baseline covariates, showed increased total mortality (HR 1.65, 95% CI 1.17 to 2.32, p<0.01) as well as cardiovascular mortality (HR 1.86, 95% CI 1.21 to 2.88, p<0.01) in the highest compared with the lowest tertile. When present, subjects in the highest tertile had more voluminous, large, non-cortical and cortical infarcts on MRI (log-transformed volumes; exponentiated estimate 1.89, 95% CI 1.11 to 3.21, p=0.02) and a higher chance of small non-cortical infarcts (OR 1.61, 95% CI 1.16 to 2.22, p<0.01). CONCLUSIONS High levels of TMAO are associated with increased risk of cardiovascular mortality and cerebral infarction in patients with atrial fibrillation. TRIAL REGISTRATION NUMBER NCT02105844.
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Affiliation(s)
- Marco Luciani
- Department of Medicine, Baden Cantonal Hospital, Baden, Switzerland.,Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Daniel Müller
- Institute of Clinical Chemistry, University Hospital Zurich, Zurich, Switzerland.,Laboratory Medicine, University of Basel, Basel, Switzerland
| | | | - Thamonwan Diteepeng
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | | | - Stefanie Aeschbacher
- Cardiovascular Research Institute, University Hospital Basel, Basel, Switzerland.,Cardiology Division, University Hospital Basel, Basel, Switzerland
| | - Nicolas Rodondi
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.,Department of General Internal Medicine, Inselspital University Hospital Bern, Bern, Switzerland
| | - Giorgio Moschovitis
- Division of Cardiology, Ospedale Regionale di Lugano-Civico e Italiano, Lugano, Switzerland
| | - Tobias Reichlin
- Department of Cardiology, Inselspital Universitatsspital Bern, Bern, Switzerland
| | - Tim Sinnecker
- Department of Neurology and Stroke Center, University Hospital Basel, Basel, Switzerland.,Medical Image Analysis Center (MIAC), Basel, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center (MIAC), Basel, Switzerland.,Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Leo H Bonati
- Department of Neurology and Stroke Center, University Hospital Basel, Basel, Switzerland.,Research Department, Reha Rheinfelden, Rheinfelden, Switzerland
| | - Seyed Soheil Saeedi Saravi
- Department of Medicine, Baden Cantonal Hospital, Baden, Switzerland.,Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Patricia Chocano-Bedoya
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.,Population Health Laboratory, University of Fribourg, Fribourg, Switzerland
| | - Michael Coslovsky
- Cardiology Division, University Hospital Basel, Basel, Switzerland.,Department of Clinical Research, University Hospital Basel, Basel, Switzerland
| | - Giovanni G Camici
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Thomas F Lüscher
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland.,Department of Cardiology, Royal Brompton and Harefield Hospitals Trust, London, UK.,National Heart and Lung Institute, Imperial College, London, UK
| | - Michael Kuehne
- Cardiovascular Research Institute, University Hospital Basel, Basel, Switzerland.,Cardiology Division, University of Basel Hospital, Basel, Switzerland
| | - Stefan Osswald
- Cardiovascular Research Institute, University Hospital Basel, Basel, Switzerland.,Cardiology Division, University of Basel Hospital, Basel, Switzerland
| | - David Conen
- Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Jürg Hans Beer
- Department of Medicine, Baden Cantonal Hospital, Baden, Switzerland .,Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
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6
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Cortese R, Battaglini M, Prados F, Bianchi A, Haider L, Jacob A, Palace J, Messina S, Paul F, Wuerfel J, Marignier R, Durand-Dubief F, de Medeiros Rimkus C, Callegaro D, Sato DK, Filippi M, Rocca MA, Cacciaguerra L, Rovira A, Sastre-Garriga J, Arrambide G, Liu Y, Duan Y, Gasperini C, Tortorella C, Ruggieri S, Amato MP, Ulivelli M, Groppa S, Grothe M, Llufriu S, Sepulveda M, Lukas C, Bellenberg B, Schneider R, Sowa P, Celius EG, Proebstel AK, Yaldizli Ö, Müller J, Stankoff B, Bodini B, Carmisciano L, Sormani MP, Barkhof F, De Stefano N, Ciccarelli O. Clinical and MRI measures to identify non-acute MOG-antibody disease in adults. Brain 2022:6901544. [PMID: 36515653 DOI: 10.1093/brain/awac480] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 11/14/2022] [Accepted: 11/24/2022] [Indexed: 12/15/2022] Open
Abstract
MRI and clinical features of myelin oligodendrocyte glycoprotein (MOG)-antibody disease may overlap with those of other inflammatory demyelinating conditions posing diagnostic challenges, especially in non-acute phases and when serologic testing for MOG-antibodies is unavailable or shows uncertain results. We aimed to identify MRI and clinical markers that differentiate non-acute MOG-antibody disease from aquaporin4 (AQP4)-antibody neuromyelitis optica spectrum disorder and relapsing remitting multiple sclerosis, guiding in the identification of MOG-antibody disease patients in clinical practice. In this cross-sectional retrospective study, data from 16 MAGNIMS centres were included. Data collection and analyses were conducted from 2019 to 2021. Inclusion criteria were: diagnosis of MOG-antibody disease, AQP4-neuromyelitis optica spectrum disorder and multiple sclerosis, brain and cord MRI at least 6 months from relapse, EDSS on the day of MRI. Brain white matter T2 lesions, T1-hypointense lesions, cortical and cord lesions were identified. Random-forest models were constructed to classify patients as MOG-antibody disease/AQP4-neuromyelitis optica spectrum disorder/multiple sclerosis; a leave one out cross-validation procedure assessed the performance of the models. Based on the best discriminators between diseases, we proposed a guide to target investigations for MOG-antibody disease. One hundred sixty-two patients with MOG-antibody disease (99F, mean age: 41 [±14] years, median EDSS: 2 [0-7.5]), 162 with AQP4-neuromyelitis optica spectrum disorder (132F, mean age: 51 [±14] years, median EDSS: 3.5 [0-8]), 189 with multiple sclerosis (132F, mean age: 40 [±10] years, median EDSS: 2 [0-8]) and 152 healthy controls (91F) were studied. In young patients (<34 years), with low disability (EDSS < 3), the absence of Dawson's fingers, temporal lobe lesions and longitudinally extensive lesions in the cervical cord pointed towards a diagnosis of MOG-antibody disease instead of the other two diseases (accuracy: 76%, sensitivity: 81%, specificity: 84%, p < 0.001). In these non-acute patients, a number of brain lesions < 6 predicted MOG-antibody disease versus multiple sclerosis (accuracy: 83%, sensitivity: 82%, specificity: 83%, p < 0.001). An EDSS < 3 and the absence of longitudinally extensive lesions in the cervical cord predicted MOG-antibody disease versus AQP4-neuromyelitis optica spectrum disorder (accuracy: 76%, sensitivity: 89%, specificity: 62%, p < 0.001). A workflow with sequential tests and supporting features has been proposed to guide a better identification of MOG-antibody disease patients. Adult non-acute MOG-antibody disease patients showed distinctive clinical and MRI features when compared to AQP4-neuromyelitis optica spectrum disorder and multiple sclerosis. A careful inspection of the morphology of brain and cord lesions together with clinical information, can guide for further analyses towards diagnosis of MOG-antibody disease in clinical practice.
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Affiliation(s)
- Rosa Cortese
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.,NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Marco Battaglini
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Ferran Prados
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,Center for Medical Imaging Computing, Medical Physics and Biomedical Engineering, UCL, London, UK.,Universitat Oberta de Catalunya, Barcelona, Spain
| | - Alessia Bianchi
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Lukas Haider
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Anu Jacob
- NMO Clinical Service at the Walton Centre, Liverpool, UK.,Department of Neurology, Cleveland Clinic, AbuDhabi, UAE
| | - Jacqueline Palace
- Department of Clinical Neurology, John Radcliffe Hospital, Oxford, UK
| | - Silvia Messina
- Department of Clinical Neurology, John Radcliffe Hospital, Oxford, UK
| | - Friedemann Paul
- Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité - Universitaetsmedizin Berlin, Berlin, Germany
| | | | - Romain Marignier
- Department of Biomedical Engineering, University of Basel, Switzerland.,Service de Neurologie, Sclérose en Plaques, Pathologies de la Myéline et Neuro-inflammation, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Lyon, France
| | - Françoise Durand-Dubief
- Department of Biomedical Engineering, University of Basel, Switzerland.,Service de Neurologie, Sclérose en Plaques, Pathologies de la Myéline et Neuro-inflammation, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Lyon, France
| | - Carolina de Medeiros Rimkus
- Universidade de São Paulo, Faculdade de Medicina, Departamento de Radiologia e Oncologia, São Paulo SP, Brazil
| | - Dagoberto Callegaro
- Universidade de São Paulo, Faculdade de Medicina, Departamento de Neurologia, São Paulo SP, Brazil
| | - Douglas Kazutoshi Sato
- Pontifícia Universidade Católica do Rio Grande do Sul, Faculdade de Medicina, Porto Alegre RS, Brazil
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Maria Assunta Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Laura Cacciaguerra
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Alex Rovira
- Section of Neuroradiology, Department of Radiology, 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, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Georgina Arrambide
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Yaou Liu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yunyun Duan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Claudio Gasperini
- Department of Neurosciences, S. Camillo-Forlanini Hospital, Rome, Italy
| | - Carla Tortorella
- Department of Neurosciences, S. Camillo-Forlanini Hospital, Rome, Italy
| | - Serena Ruggieri
- Department of Human Neurosciences, Sapienza University of Rome, Italy.,Neuroimmunology Unit, IRCSS Fondazione Santa Lucia, Rome, Italy
| | - Maria Pia Amato
- Department NEUROFARBA, University of Florence, Italy.,IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Monica Ulivelli
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Sergiu Groppa
- Department of Neurology, University Medical Center of the Johannes Gutenberg University Mainz, Germany
| | - Matthias Grothe
- Department of Neurology, University Medicine of Greifswald, Germany
| | - Sara Llufriu
- Center of Neuroimmunology, Service of Neurology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), and Universitat de Barcelona, Barcelona, Spain
| | - Maria Sepulveda
- Center of Neuroimmunology, Service of Neurology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), and Universitat de Barcelona, Barcelona, Spain
| | - Carsten Lukas
- Institute of Neuroradiology, St. Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Barbara Bellenberg
- Institute of Neuroradiology, St. Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Ruth Schneider
- Institute of Neuroradiology, St. Josef Hospital, Ruhr University Bochum, Bochum, Germany.,Department of Neurology, St. Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Piotr Sowa
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Elisabeth G Celius
- Department of Neurology, Oslo University Hospital and Faculty of Medicine, University of Oslo, Oslo, Norway
| | | | - Özgür Yaldizli
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Jannis Müller
- Department of Neurology, University Hospital, Kantonsspital, Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Bruno Stankoff
- Sorbonne University, Paris Brain Institute, ICM, Pitié Salpêtrière Hospital, Paris, France
| | - Benedetta Bodini
- Sorbonne University, Paris Brain Institute, ICM, Pitié Salpêtrière Hospital, Paris, France
| | | | | | - Frederik Barkhof
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,Center for Medical Imaging Computing, Medical Physics and Biomedical Engineering, UCL, London, UK.,Radiology & Nuclear medicine, VU University Medical Centre, Amsterdam, The Netherlands
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Olga Ciccarelli
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, London, UK
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7
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Ceylan S, Aeschbacher S, Altermatt A, Sinnecker T, Rodondi N, Blum M, Coslovsky M, Evers-Dörpfeld S, Niederberger S, Conen D, Osswald S, Kühne M, Düring M, Wuerfel J, Bonati L. Sex differences of vascular brain lesions in patients with atrial fibrillation. Open Heart 2022; 9:openhrt-2022-002033. [PMID: 36100317 PMCID: PMC9472202 DOI: 10.1136/openhrt-2022-002033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 08/05/2022] [Indexed: 12/02/2022] Open
Abstract
Objective To examine sex differences in prevalence, volume and distribution of vascular brain lesions on MRI among patients with atrial fibrillation (AF). Methods In this cross-sectional analysis, we included 1743 patients with AF (27% women) from the multicentre Swiss Atrial Fibrillation study (SWISS-AF) with available baseline brain MRI. We compared presence and total volume of large non-cortical or cortical infarcts (LNCCIs), small non-cortical infarcts, microbleeds (MB) and white matter hyperintensities (WMH, Fazekas score ≥2 for moderate or severe degree) between men and women with multivariable logistic regression. We generated voxel-based probability maps to assess the anatomical distribution of lesions. Results We found no strong evidence for an association of female sex with the prevalence of all ischaemic infarcts (LNCCI and SNCI combined; adjusted OR 0.86, 95% CI 0.67 to 1.09, p=0.22), MB (adjusted OR 0.91, 95% CI 0.68 to 1.21, p=0.52) and moderate or severe WMH (adjusted OR 1.15, 95% CI 0.90 to 1.48, p=0.27). However, total WMH volume was 17% larger among women than men (multivariable adjusted multiplicative effect 1.17, 95% CI 1.01 to 1.35; p=0.04). Lesion probability maps showed a right hemispheric preponderance of ischaemic infarcts in both men and women, while WMH were distributed symmetrically. Conclusion Women had higher white matter disease burden than men, while volume and prevalence of other lesions did not differ. Our findings highlight the importance of controlling risk factors for cerebral small vessel disease in patients with AF, especially among women.
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Affiliation(s)
- Selinda Ceylan
- Cardiology Division, Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Stefanie Aeschbacher
- Cardiology Division, Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Anna Altermatt
- MIAC AG and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Tim Sinnecker
- MIAC AG and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Nicolas Rodondi
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.,Department of General Internal Medicine, Inselspital Universitatsspital Bern, Bern, Switzerland
| | - Manuel Blum
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.,Department of General Internal Medicine, Inselspital Universitatsspital Bern, Bern, Switzerland
| | - Michael Coslovsky
- Cardiology Division, Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Simone Evers-Dörpfeld
- Cardiology Division, Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Sacha Niederberger
- Cardiology Division, Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
| | - David Conen
- Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Stefan Osswald
- Cardiology Division, Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Michael Kühne
- Cardiology Division, Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Marco Düring
- MIAC AG and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Jens Wuerfel
- MIAC AG and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Leo Bonati
- Department of Neurology and Clinical Research, University of Basel, Basel, Switzerland .,Department of Neurology, Reha Rheinfelden, Rheinfelden, Switzerland
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8
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Meaton I, Altokhis A, Allen CM, Clarke MA, Sinnecker T, Meier D, Enzinger C, Calabrese M, De Stefano N, Pitiot A, Giorgio A, Schoonheim MM, Paul F, Pawlak MA, Schmidt R, Granziera C, Kappos L, Montalban X, Rovira À, Wuerfel J, Evangelou N. Paramagnetic rims are a promising diagnostic imaging biomarker in multiple sclerosis. Mult Scler 2022; 28:2212-2220. [PMID: 36017870 DOI: 10.1177/13524585221118677] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
BACKGROUND White matter lesions (WMLs) on brain magnetic resonance imaging (MRI) in multiple sclerosis (MS) may contribute to misdiagnosis. In chronic active lesions, peripheral iron-laden macrophages appear as paramagnetic rim lesions (PRLs). OBJECTIVE To evaluate the sensitivity and specificity of PRLs in differentiating MS from mimics using clinical 3T MRI scanners. METHOD This retrospective international study reviewed MRI scans of patients with MS (n = 254), MS mimics (n = 91) and older healthy controls (n = 217). WMLs, detected using fluid-attenuated inversion recovery MRI, were analysed with phase-sensitive imaging. Sensitivity and specificity were assessed for PRLs. RESULTS At least one PRL was found in 22.9% of MS and 26.1% of clinically isolated syndrome (CIS) patients. Only one PRL was found elsewhere. The identification of ⩾1 PRL was the optimal cut-off and had high specificity (99.7%, confidence interval (CI) = 98.20%-99.99%) when distinguishing MS and CIS from mimics and healthy controls, but lower sensitivity (24.0%, CI = 18.9%-36.6%). All patients with a PRL showing a central vein sign (CVS) in the same lesion (n = 54) had MS or CIS, giving a specificity of 100% (CI = 98.8%-100.0%) but equally low sensitivity (21.3%, CI = 16.4%-26.81%). CONCLUSION PRLs may reduce diagnostic uncertainty in MS by being a highly specific imaging diagnostic biomarker, especially when used in conjunction with the CVS.
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Affiliation(s)
- Isobel Meaton
- Mental Health and Clinical Neurosciences Academic Unit, School of Medicine, University of Nottingham, Nottingham, UK
| | - Amjad Altokhis
- Mental Health and Clinical Neurosciences Academic Unit, School of Medicine, University of Nottingham, Nottingham, UK
| | - Christopher Martin Allen
- Mental Health and Clinical Neurosciences Academic Unit, School of Medicine, University of Nottingham, Nottingham, UK
| | - Margareta A Clarke
- Institute of Imaging Science, Vanderbilt University Medical Center, Vanderbilt University, Nashville, TN, USA
| | - Tim Sinnecker
- Medical Image Analysis Center AG and Department of Biomedical Engineering, University Basel, Basel, Switzerland
| | - Dominik Meier
- Medical Image Analysis Center AG and Department of Biomedical Engineering, University Basel, Basel, Switzerland
| | | | - Massimiliano Calabrese
- Neurology Unit, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Alain Pitiot
- Laboratory of Image and Data Analysis, Ilixa Ltd, London, UK
| | - Antonio Giorgio
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Menno M Schoonheim
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - 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
| | - Mikolaj A Pawlak
- Department of Neurology and Cerebrovascular Disorders, Poznan University of Medical Sciences, Poznan, Poland
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Cristina Granziera
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital, University of Basel, Basel, Switzerland
| | - Ludwig Kappos
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital, University of Basel, Basel, Switzerland
| | - Xavier Montalban
- Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Àlex Rovira
- Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jens Wuerfel
- Medical Image Analysis Center AG and Department of Biomedical Engineering, University Basel, Basel, Switzerland/Neurocure Clinical Research Center, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Nikos Evangelou
- Mental Health and Clinical Neurosciences Academic Unit, School of Medicine, University of Nottingham, Nottingham, UK
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9
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Brownlee WJ, Wolf C, Hartung HP, Dingermann T, Anshasi N, Clark RA, Trojano M, Selmaj K, Uitdehaag BM, Tur C, Wuerfel J, Dallmann G, Witte J, Sintzel M, Bobrovnikova O, Cohen JA. Use of follow-on disease-modifying treatments for multiple sclerosis: Consensus recommendations. Mult Scler 2022; 28:2177-2189. [PMID: 36000489 DOI: 10.1177/13524585221116269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND As patents for multiple sclerosis (MS) therapies expire, follow-on disease-modifying treatments (FO-DMTs) become available at reduced cost. Concerns exist that cheaper FO-DMTs are used simply to reduce healthcare costs. However, the well-being of people with MS should take priority. OBJECTIVES To identify best practices for FO-DMT development and use by agreeing on principles and consensus statements through appraisal of published evidence. METHODS Following a systematic review, we formulated five overarching principles and 13 consensus statements. Principles and statements were voted on by a multidisciplinary panel from 17 European countries, Argentina, Canada and the United States. RESULTS All principles and statements were endorsed by >80% of panellists. In brief, FO-DMTs approved within highly regulated areas can be considered effective and safe as their reference products; FO-DMTs can be evaluated case by case and do not always require Phase III trials; long-term pharmacovigilance and transparency are needed; there is lack of evidence for multiple- and cross-switching among FO-DMTs; and education is needed to address remaining concerns. CONCLUSION Published data support the use of FO-DMTs in MS. The consensus may aid shared decision-making. While our consensus focused on Europe, the results may contribute to enhanced quality standards for FO-DMTs use elsewhere.
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Affiliation(s)
- Wallace J Brownlee
- Queen Square Multiple Sclerosis Centre, National Hospital for Neurology and Neurosurgery, London, UK
| | | | - Hans-Peter Hartung
- Department of Neurology, Heinrich Heine University Medical Faculty, Düsseldorf, Germany/Brain and Mind Center, Medical Faculty, The University of Sydney, Sydney, NSW, Australia/Department of Neurology, Medical University of Vienna, Vienna, Austria/Department of Neurology, Palacky University, Olomouc, Czech Republic
| | - Theo Dingermann
- Institute for Pharmaceutical Biology, Goethe University Frankfurt, Frankfurt, Germany
| | - Nadia Anshasi
- European Multiple Sclerosis Platform, Brussels, Belgium
| | | | - Maria Trojano
- Department of Basic Medical Sciences, Neurosciences and Sense Organs, University 'Aldo Moro', Bari, Italy
| | - Krzysztof Selmaj
- Department of Neurology, University of Warmia and Mazury, Olsztyn, Poland/Center of Neurology, Lodz, Poland
| | - Bernard Mj Uitdehaag
- Department of Neurology, Amsterdam Neuroscience, Amsterdam MS Center, Amsterdam UMC, Amsterdam, The Netherlands
| | - Carmen Tur
- Multiple Sclerosis Centre of Catalonia (Cemcat), Department of Neurology, Vall d'Hebron University Hospital, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain/Queen Square Multiple Sclerosis Centre, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - Jens Wuerfel
- Medical Image Analysis Center (MIAC AG) and University of Basel, Basel, Switzerland/Department of Radiology, University Hospital Magdeburg, Magdeburg, Germany
| | | | | | | | | | - Jeffrey A Cohen
- Mellen Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
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10
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Guo J, Hetzer S, Boehm-Sturm P, Wuerfel J. Editorial: Quantitative MRI of blood-tissue interactions in the brain. Front Neurosci 2022; 16:992427. [PMID: 36071713 PMCID: PMC9442049 DOI: 10.3389/fnins.2022.992427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 08/08/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Jing Guo
- Department of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- *Correspondence: Jing Guo
| | - Stefan Hetzer
- Berlin Center for Advanced Neuroimaging (BCAN), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Philipp Boehm-Sturm
- Department of Experimental Neurology and Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- NeuroCure Cluster of Excellence and Charité Core Facility 7T Experimental MRIs, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Jens Wuerfel
- MIAC AG, Basel and qbig, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
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11
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Sinnecker T, Schädelin S, Benkert P, Ruberte E, Amann M, Lieb JM, Naegelin Y, Müller J, Kuhle J, Derfuss T, Kappos L, Wuerfel J, Granziera C, Yaldizli Ö. Brain atrophy measurement over a MRI scanner change in multiple sclerosis. Neuroimage Clin 2022; 36:103148. [PMID: 36007437 PMCID: PMC9424626 DOI: 10.1016/j.nicl.2022.103148] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 08/03/2022] [Accepted: 08/04/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND A change in MRI hardware impacts brain volume measurements. The aim of this study was to use MRI data from multiple sclerosis (MS) patients and healthy control subjects (HCs) to statistically model how to adjust brain atrophy measures in MS patients after a major scanner upgrade. METHODS We scanned 20 MS patients and 26 HCs before and three months after a major scanner upgrade (1.5 T Siemens Healthineers Magnetom Avanto to 3 T Siemens Healthineers Skyra Fit). The patient group also underwent standardized serial MRIs before and after the scanner change. Percentage whole brain volume changes (PBVC) measured by Structural Image Evaluation using Normalization of Atrophy (SIENA) in the HCs was used to estimate a corrective term based on a linear model. The factor was internally validated in HCs, and then applied to the MS group. RESULTS Mean PBVC during the scanner change was higher in MS than HCs (-4.1 ± 0.8 % versus -3.4 ± 0.6 %). A fixed corrective term of 3.4 (95% confidence interval: 3.13-3.67)% was estimated based on the observed average changes in HCs. Age and gender did not have a significant influence on this corrective term. After adjustment, a linear mixed effects model showed that the brain atrophy measures in MS during the scanner upgrade were not anymore associated with the scanner type (old vs new scanner; p = 0.29). CONCLUSION A scanner change affects brain atrophy measures in longitudinal cohorts. The inclusion of a corrective term based on changes observed in HCs helps to adjust for the known and unknown factors associated with a scanner upgrade on a group level.
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Affiliation(s)
- Tim Sinnecker
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Translational Imaging in Neurology [ThINK] Basel, Departments of Head, Spine and Neuromedicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Sabine Schädelin
- Department of Clinical Research, Clinical Trial Unit, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Pascal Benkert
- Department of Clinical Research, Clinical Trial Unit, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Esther Ruberte
- Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Michael Amann
- Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Johanna M. Lieb
- Department of Neuroradiology, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Yvonne Naegelin
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland
| | - Jannis Müller
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Translational Imaging in Neurology [ThINK] Basel, Departments of Head, Spine and Neuromedicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland
| | - Tobias Derfuss
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland
| | - Ludwig Kappos
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Cristina Granziera
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Translational Imaging in Neurology [ThINK] Basel, Departments of Head, Spine and Neuromedicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland
| | - Özgür Yaldizli
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Translational Imaging in Neurology [ThINK] Basel, Departments of Head, Spine and Neuromedicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland,Corresponding author at: Neurology, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland.
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12
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Allen C, Meaton I, Altokhis A, Clarke M, Sinnecker T, Wuerfel J, Evangelou N. 087 Paramagnetic rims are a specific biomarker in multiple sclerosis. J Neurol Neurosurg Psychiatry 2022. [DOI: 10.1136/jnnp-2022-abn.412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Paramagnetic rims appear as a hypointense border around the edge of Multiple Sclerosis (MS)4lesions when visualised on phase sensitive imaging such as T2*, FLAIR* or SWI. They are likely due to immune cell uptake of liberated iron following the destruction of oligodendrocytes. While rarer than the central vein sign, initial reports suggest they are a specific marker of MS. However, disagreement remains with different groups reporting varying prevalence, location, persistence over time and association with expanding lesions, disease stage and disability.Eight centres in the MAGNIMS (Magnetic Resonance Imaging in Multiple Sclerosis) study group contrib- uted phase imaging of 562 people. They included patients with MS, clinically isolated syndrome, migraine, NMOSD, CNS vasculitis, small vessel ischaemia, diabetes mellitus, and cluster headache along with healthy controls. In patients with MS and clinically isolated syndrome 129 lesions with a paramagnetic rim were detected. The prevalence was 23% and 26% of patients respectively, suggesting this biomarker may be present across all MS stages. Only one paramagnetic rim lesion was found in the rest of the cohort, in a patient with diabetes mellitus, confirming its exceptionally high specificity of 99.7%.christopher.allen@nottingham.ac.uk|ABN Bursary
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13
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Sprenger T, Kappos L, Sormani MP, Miller AE, Poole EM, Cavalier S, Wuerfel J. Effects of teriflunomide treatment on cognitive performance and brain volume in patients with relapsing multiple sclerosis: Post hoc analysis of the TEMSO core and extension studies. Mult Scler 2022; 28:1719-1728. [PMID: 35485424 PMCID: PMC9442776 DOI: 10.1177/13524585221089534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: In post hoc analyses of Teriflunomide Multiple Sclerosis Oral study (TEMSO;
NCT00134563), teriflunomide 14 mg significantly reduced brain volume loss
(BVL) versus placebo in patients with relapsing multiple sclerosis (MS). Objective: In this post hoc analysis of TEMSO and its long-term extension (NCT00803049),
we examined the relationship between teriflunomide’s effects on BVL and
cognition. Methods: We analyzed data from 709 patients who received teriflunomide 14 mg in TEMSO
or its extension. The change in cognitive performance, assessed using the
Paced Auditory Serial Addition Test 3 (PASAT-3), was measured in subgroups
stratified by BVL over 2 years (least BVL: ⩽ 0.52%; intermediate BVL:
>0.52%–2.18%; most BVL: >2.18%). BVL, MRI lesions, and relapses over 2
years were evaluated as potential mediators of the effect of teriflunomide
on cognition. Results: Teriflunomide 14 mg significantly improved PASAT-3 Z-scores
versus placebo through year 2. In the least- and intermediate-BVL groups,
significant improvements in PASAT-3 Z-score were
demonstrated versus the most-BVL group over 3 years in the extension.
According to the mediation analysis, 44% of the teriflunomide effect on
cognition was due to effects on BVL at year 2. Conclusion: Teriflunomide improves cognition largely through its effects on BVL.
Accelerated BVL earlier in the disease course may predict cognitive
outcomes. ClinicalTrials.gov identifier: NCT00134563, NCT00803049
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Affiliation(s)
- Till Sprenger
- DKD Helios Klinik Wiesbaden, Deutsche Klinik für Diagnostik Wiesbaden, Germany/Neurologic Clinic and Policlinic and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital and University of Basel, Basel, Switzerland
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital and University of Basel, Basel, Switzerland
| | - Maria Pia Sormani
- Biostatistics Unit, Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Aaron E Miller
- The Corinne Goldsmith Dickinson Center for Multiple Sclerosis, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Steven Cavalier
- Sanofi, Cambridge, MA, USA/Steven Cavalier Consulting, LLC, Green Harbor, MA, USA
| | - Jens Wuerfel
- Medical Imaging Analysis Center (MIAC) AG and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
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14
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Polymeris AA, Helfenstein F, Benkert P, Aeschbacher S, Leppert D, Coslovsky M, Willemse E, Schaedelin S, Blum MR, Rodondi N, Reichlin T, Moschovitis G, Wuerfel J, De Marchis GM, Engelter ST, Lyrer PA, Conen D, Kühne M, Osswald S, Bonati LH, Kuhle J. Renal Function and Body Mass Index Contribute to Serum Neurofilament Light Chain Levels in Elderly Patients With Atrial Fibrillation. Front Neurosci 2022; 16:819010. [PMID: 35495025 PMCID: PMC9047720 DOI: 10.3389/fnins.2022.819010] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Accepted: 03/09/2022] [Indexed: 11/13/2022] Open
Abstract
Objective Serum neurofilament light chain (sNfL) is increasingly used as a neuroaxonal injury biomarker in the elderly. Besides age, little is known about how other physiological factors like renal function and body mass index (BMI) alter its levels. Here, we investigated the association of estimated glomerular filtration rate (eGFR) and BMI with sNfL in a large sample of elderly patients with atrial fibrillation (AF). Methods This is a cross-sectional analysis from the Swiss-AF Cohort (NCT02105844). We measured sNfL using an ultrasensitive single-molecule array assay. We calculated eGFR using the chronic kidney disease epidemiology collaboration (CKD-EPI) creatinine (eGFRcrea) and creatinine–cystatin C (eGFRcrea–cys) formulas, and BMI from weight and height measurements. We evaluated the role of eGFR and BMI as determinants of sNfL levels using multivariable linear regression and the adjusted R2 (R2adj). Results Among 2,277 Swiss-AF participants (mean age 73.3 years), eGFRcrea showed an inverse curvilinear association with sNfL after adjustment for age and cardiovascular comorbidities. BMI also showed an independent, inverse linear association with sNfL. The R2adj of models with age, eGFRcrea, and BMI alone was 0.26, 0.35, and 0.02, respectively. A model with age and eGFRcrea combined explained 45% of the sNfL variance. Sensitivity analyses (i) further adjusting for vascular brain lesions (N = 1,402 participants with MRI) and (ii) using eGFRcrea–cys yielded consistent results. Interpretation In an elderly AF cohort, both renal function and BMI were associated with sNfL, but only renal function explained a substantial proportion of the sNfL variance. This should be taken into account when using sNfL in elderly patients or patients with cardiovascular disease.
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Affiliation(s)
- Alexandros A. Polymeris
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
- Alexandros A. Polymeris,
| | - Fabrice Helfenstein
- Department of Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Pascal Benkert
- Department of Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Stefanie Aeschbacher
- Cardiovascular Research Institute Basel (CRIB), Basel, Switzerland
- Cardiology Division, Department of Medicine, University Hospital Basel, Basel, Switzerland
| | - David Leppert
- Department of Neurology, Multiple Sclerosis Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Michael Coslovsky
- Department of Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland
- Cardiovascular Research Institute Basel (CRIB), Basel, Switzerland
| | - Eline Willemse
- Department of Neurology, Multiple Sclerosis Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Sabine Schaedelin
- Department of Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Manuel R. Blum
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
- Department of General Internal Medicine, University Hospital of Bern, University of Bern, Bern, Switzerland
| | - Nicolas Rodondi
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
- Department of General Internal Medicine, University Hospital of Bern, University of Bern, Bern, Switzerland
| | - Tobias Reichlin
- Department of Cardiology, University Hospital of Bern, University of Bern, Bern, Switzerland
| | - Giorgio Moschovitis
- Cardiology Division, Department of Medicine, Ente Ospedaliero Cantonale (EOC), Regional Hospital of Lugano, Lugano, Switzerland
| | - Jens Wuerfel
- Department of Biomedical Engineering, Medical Image Analysis Center (MIAC) AG, University of Basel, Basel, Switzerland
| | - Gian Marco De Marchis
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Stefan T. Engelter
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
- Neurology and Neurorehabilitation, University Department of Geriatric Medicine FELIX PLATTER, University of Basel, Basel, Switzerland
| | - Philippe A. Lyrer
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - David Conen
- Population Health Research Institute, McMaster University, Hamilton, ON, Canada
| | - Michael Kühne
- Cardiovascular Research Institute Basel (CRIB), Basel, Switzerland
- Cardiology Division, Department of Medicine, University Hospital Basel, Basel, Switzerland
| | - Stefan Osswald
- Cardiovascular Research Institute Basel (CRIB), Basel, Switzerland
- Cardiology Division, Department of Medicine, University Hospital Basel, Basel, Switzerland
| | - Leo H. Bonati
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Department of Neurology, Multiple Sclerosis Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- *Correspondence: Jens Kuhle,
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Benkert P, Meier S, Schaedelin S, Manouchehrinia A, Yaldizli Ö, Maceski A, Oechtering J, Achtnichts L, Conen D, Derfuss T, Lalive PH, Mueller C, Müller S, Naegelin Y, Oksenberg JR, Pot C, Salmen A, Willemse E, Kockum I, Blennow K, Zetterberg H, Gobbi C, Kappos L, Wiendl H, Berger K, Sormani MP, Granziera C, Piehl F, Leppert D, Kuhle J, Aeschbacher S, Barakovic M, Buser A, Chan A, Disanto G, D'Souza M, Du Pasquier R, Findling O, Galbusera R, Hrusovsky K, Khalil M, Lorscheider J, Mathias A, Orleth A, Radue EW, Rahmanzadeh R, Sinnecker T, Subramaniam S, Vehoff J, Wellmann S, Wuerfel J, Zecca C. Serum neurofilament light chain for individual prognostication of disease activity in people with multiple sclerosis: a retrospective modelling and validation study. Lancet Neurol 2022; 21:246-257. [DOI: 10.1016/s1474-4422(22)00009-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 11/08/2021] [Accepted: 12/20/2021] [Indexed: 12/17/2022]
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Altermatt A, Sinnecker T, Aeschbacher S, Springer A, Coslovsky M, Beer J, Moschovitis G, Auricchio A, Fischer U, Aubert CE, Kühne M, Conen D, Osswald S, Bonati LH, Wuerfel J. Right Hemispheric Predominance of Brain Infarcts in Atrial Fibrillation: A Lesion Mapping Analysis. J Stroke 2022; 24:156-159. [PMID: 35135070 PMCID: PMC8829476 DOI: 10.5853/jos.2021.03531] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 01/11/2022] [Indexed: 11/23/2022] Open
Affiliation(s)
- Anna Altermatt
- Medical Image Analysis Center (MIAC AG), Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Tim Sinnecker
- Medical Image Analysis Center (MIAC AG), Basel, Switzerland
- Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Stefanie Aeschbacher
- Cardiology Division, Department of Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Anne Springer
- Cardiology Division, Department of Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Michael Coslovsky
- Cardiology Division, Department of Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
- Clinical Trial Unit, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Juerg Beer
- Department of Medicine, Baden Cantonal Hospital, Baden, Switzerland
| | - Giorgio Moschovitis
- Division of Cardiology, Department of Medicine, Ente Ospedaliero Cantonale (EOC), Regional Hospital of Lugano, Lugano, Switzerland
| | - Angelo Auricchio
- Division of Cardiology, Fondazione Cardiocentro Ticino, Lugano, Switzerland
| | - Urs Fischer
- Department of Neurology, Inselspital, University Hospital of Bern, University of Bern, Bern, Switzerland
| | - Carole E. Aubert
- Department of General Internal Medicine, Inselspital, University Hospital of Bern, Bern, Switzerland
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
- Center for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA
| | - Michael Kühne
- Cardiology Division, Department of Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
| | - David Conen
- Population Health Research Institute, McMaster University, Hamilton, ON, Canada
| | - Stefan Osswald
- Cardiology Division, Department of Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Leo H. Bonati
- Department of Neurology, University Hospital Basel, Basel, Switzerland
- Correspondence: Leo H. Bonati Department of Neurology, University Hospital Basel, CH-4031 Basel, Switzerland Tel: +41-61-265-2525 Fax: +41-61-265-2020 E-mail:
| | - Jens Wuerfel
- Medical Image Analysis Center (MIAC AG), Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland
- NeuroCure Research Center, Charité University Medicine Berlin, Berlin, Germany
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17
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Giovannoni G, Popescu V, Wuerfel J, Hellwig K, Iacobaeus E, Jensen MB, García-Domínguez JM, Sousa L, De Rossi N, Hupperts R, Fenu G, Bodini B, Kuusisto HM, Stankoff B, Lycke J, Airas L, Granziera C, Scalfari A. Smouldering multiple sclerosis: the ‘real MS’. Ther Adv Neurol Disord 2022; 15:17562864211066751. [PMID: 35096143 PMCID: PMC8793117 DOI: 10.1177/17562864211066751] [Citation(s) in RCA: 58] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 11/28/2021] [Indexed: 12/25/2022] Open
Abstract
Using a philosophical approach or deductive reasoning, we challenge the dominant
clinico-radiological worldview that defines multiple sclerosis (MS) as a focal
inflammatory disease of the central nervous system (CNS). We provide a range of
evidence to argue that the ‘real MS’ is in fact driven primarily by a
smouldering pathological disease process. In natural history studies and
clinical trials, relapses and focal activity revealed by magnetic resonance
imaging (MRI) in MS patients on placebo or on disease-modifying therapies (DMTs)
were found to be poor predictors of long-term disease evolution and were
dissociated from disability outcomes. In addition, the progressive accumulation
of disability in MS can occur independently of relapse activity from early in
the disease course. This scenario is underpinned by a more diffuse smouldering
pathological process that may affect the entire CNS. Many putative pathological
drivers of smouldering MS can be potentially modified by specific therapeutic
strategies, an approach that may have major implications for the management of
MS patients. We hypothesise that therapeutically targeting a state of ‘no
evident inflammatory disease activity’ (NEIDA) cannot sufficiently prevent
disability accumulation in MS, meaning that treatment should also focus on other
brain and spinal cord pathological processes contributing to the slow loss of
neurological function. This should also be complemented with a holistic approach
to the management of other systemic disease processes that have been shown to
worsen MS outcomes.
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Affiliation(s)
| | - Veronica Popescu
- Universitair MS Centrum, Hasselt, Belgium;
Noorderhart Hospital, Pelt, Belgium; Hasselt University, Hasselt,
Belgium
| | - Jens Wuerfel
- MIAC AG, Department of Biomedical Engineering,
University of Basel, Basel, Switzerland; Charité – University Medicine
Berlin, Berlin, Germany
| | - Kerstin Hellwig
- Katholisches Klinikum Bochum, Klinikum der
Ruhr-Universität, Bochum, Germany
| | | | | | | | - Livia Sousa
- Centro Hospitalar e Universitário de Coimbra,
Faculdade de Medicina, Universidade de Coimbra, Coimbra, Portugal
| | | | - Raymond Hupperts
- Zuyderland Medisch Centrum, Sittard-Geleen,
The Netherlands; Maastricht University Medical Center, Maastricht, The
Netherlands
| | - Giuseppe Fenu
- Department of Neurology, Brotzu Hospital,
Cagliari, Italy
| | - Benedetta Bodini
- Paris Brain Institute, Sorbonne University,
Paris, France; Department of Neurology, APHP, Saint-Antoine Hospital, Paris,
France
| | - Hanna-Maija Kuusisto
- Department of Neurology, Tampere University
Hospital, Tampere, Finland; Department of Customer and Patient Safety,
University of Eastern Finland, Kuopio, Finland
| | - Bruno Stankoff
- Paris Brain Institute, Sorbonne University,
ICM, CNRS, Inserm, Paris, France; APHP, Saint-Antoine Hospital, Paris,
France
| | - Jan Lycke
- Institute of Neuroscience and Physiology,
University of Gothenburg, Gothenburg, Sweden
| | | | - Cristina Granziera
- Neurologic Clinic and Policlinic, Departments
of Medicine, Clinical Research and Biomedical Engineering, University
Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk)
Basel, Department of Biomedical Engineering, University Hospital Basel and
University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology
and Neuroscience Basel (RC2NB), University Hospital Basel and University of
Basel, Basel, Switzerland
| | - Antonio Scalfari
- Centre for Neuroscience, Department of
Medicine, Charing Cross Hospital, Imperial College London, London, UK
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18
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Tsagkas C, Geiter E, Gaetano L, Naegelin Y, Amann M, Parmar K, Papadopoulou A, Wuerfel J, Kappos L, Sprenger T, Granziera C, Mallar Chakravarty M, Magon S. Longitudinal changes of deep gray matter shape in multiple sclerosis. NeuroImage: Clinical 2022; 35:103137. [PMID: 36002960 PMCID: PMC9421532 DOI: 10.1016/j.nicl.2022.103137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 06/28/2022] [Accepted: 07/27/2022] [Indexed: 01/18/2023] Open
Abstract
Specific shape changes over time occur at the bilateral ventrolateral pallidal and the left posterolateral striatal surface in relapse-onset multiple sclerosis. These shape changes over time were not associated with disease progression. The average shape of deep gray matter structures was associated with the patients’ average disease severity as well as white matter lesion-load.
Objective This study aimed to investigate longitudinal deep gray matter (DGM) shape changes and their relationship with measures of clinical disability and white matter lesion-load in a large multiple sclerosis (MS) cohort. Materials and Methods A total of 230 MS patients (179 relapsing-remitting, 51 secondary progressive; baseline age 44.5 ± 11.3 years; baseline disease duration 12.99 ± 9.18) underwent annual clinical and MRI examinations over a maximum of 6 years (mean 4.32 ± 2.07 years). The DGM structures were segmented on the T1-weighted images using the “Multiple Automatically Generated Templates” brain algorithm. White matter lesion-load was measured on T2-weighted MRI. Clinical examination included the expanded disability status scale, 9-hole peg test, timed 25-foot walk test, symbol digit modalities test and paced auditory serial addition test. Vertex‐wise longitudinal analysis of DGM shapes was performed using linear mixed effect models and evaluated the association between average/temporal changes of DGM shapes with average/temporal changes of clinical measurements, respectively. Results A significant shrinkage over time of the bilateral ventrolateral pallidal and the left posterolateral striatal surface was observed, whereas no significant shape changes over time were observed at the bilateral thalamic and right striatal surfaces. Higher average lesion-load was associated with an average inwards displacement of the global thalamic surface with relative sparing on the posterior side (slight left-side predominance), the antero-dorso-lateral striatal surfaces bilaterally (symmetric on both sides) and the antero-lateral pallidal surface (left-side predominance). There was also an association between shrinkage of large lateral DGM surfaces with higher clinical motor and cognitive disease severity. However, there was no correlation between any DGM shape changes over time and measurements of clinical progression or lesion-load changes over time. Conclusions This study showed specific shape change of DGM structures occurring over time in relapse-onset MS. Although these shape changes over time were not associated with disease progression, we demonstrated a link between DGM shape and the patients’ average disease severity as well as white matter lesion-load.
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19
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Zuber P, Gaetano L, Griffa A, Huerbin M, Pedullà L, Bonzano L, Altermatt A, Tsagkas C, Parmar K, Hagmann P, Wuerfel J, Kappos L, Sprenger T, Sporns O, Magon S. Additive and interaction effects of working memory and motor sequence training on brain functional connectivity. Sci Rep 2021; 11:23089. [PMID: 34845312 PMCID: PMC8630199 DOI: 10.1038/s41598-021-02492-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 10/29/2021] [Indexed: 11/08/2022] Open
Abstract
Although shared behavioral and neural mechanisms between working memory (WM) and motor sequence learning (MSL) have been suggested, the additive and interactive effects of training have not been studied. This study aimed at investigating changes in brain functional connectivity (FC) induced by sequential (WM + MSL and MSL + WM) and combined (WM × MSL) training programs. 54 healthy subjects (27 women; mean age: 30.2 ± 8.6 years) allocated to three training groups underwent twenty-four 40-min training sessions over 6 weeks and four cognitive assessments including functional MRI. A double-baseline approach was applied to account for practice effects. Test performances were compared using linear mixed-effects models and t-tests. Resting state fMRI data were analysed using FSL. Processing speed, verbal WM and manual dexterity increased following training in all groups. MSL + WM training led to additive effects in processing speed and verbal WM. Increased FC was found after training in a network including the right angular gyrus, left superior temporal sulcus, right superior parietal gyrus, bilateral middle temporal gyri and left precentral gyrus. No difference in FC was found between double baselines. Results indicate distinct patterns of resting state FC modulation related to sequential and combined WM and MSL training suggesting a relevance of the order of training performance. These observations could provide new insight for the planning of effective training/rehabilitation.
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Affiliation(s)
- Priska Zuber
- Division of Cognitive Neuroscience, Faculty of Psychology, University of Basel, Basel, Switzerland
| | | | - Alessandra Griffa
- Department of Clinical Neurosciences, Division of Neurology, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Center of Neuroprosthetics, Institute of Bioengineering, École Polytechnique Fédérale De Lausanne (EPFL), Geneva, Switzerland
| | - Manuel Huerbin
- Medical Image Analysis Center (MIAC AG), Basel, Switzerland
| | - Ludovico Pedullà
- Department of Experimental Medicine, Section of Human Physiology, University of Genoa, Genoa, Italy
- Italian Multiple Sclerosis Foundation, Scientific Research Area, Genoa, Italy
| | - Laura Bonzano
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
| | - Anna Altermatt
- Medical Image Analysis Center (MIAC AG), Basel, Switzerland
| | - Charidimos Tsagkas
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Katrin Parmar
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
- Reha Rheinfelden, Rheinfelden, Switzerland
| | - Patric Hagmann
- Center of Neuroprosthetics, Institute of Bioengineering, École Polytechnique Fédérale De Lausanne (EPFL), Geneva, Switzerland
- Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center (MIAC AG), Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Till Sprenger
- Department of Neurology, DKD Helios Klinik, Wiesbaden, Germany
| | - Olaf Sporns
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
- Indiana University Network Science Institute, Indiana University, Bloomington, IN, USA
| | - Stefano Magon
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland.
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20
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Vermersch P, Oreja-Guevara C, Siva A, Van Wijmeersch B, Wiendl H, Wuerfel J, Buffels R, Kadner K, Kuenzel T, Comi G. Efficacy and safety of ocrelizumab in patients with relapsing-remitting multiple sclerosis with suboptimal response to prior disease-modifying therapies: A primary analysis from the phase 3b CASTING single-arm, open-label trial. Eur J Neurol 2021; 29:790-801. [PMID: 34748672 PMCID: PMC9299209 DOI: 10.1111/ene.15171] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 10/21/2021] [Accepted: 11/01/2021] [Indexed: 12/23/2022]
Abstract
BACKGROUND AND PURPOSE Using the treatment goal of "no evidence of disease activity" (NEDA) incorporating magnetic resonance imaging (MRI) re-baselining, we aimed to assess the efficacy of ocrelizumab in patients with relapsing-remitting multiple sclerosis with a prior suboptimal response, defined by MRI or relapse criteria, to one or two disease-modifying therapies (DMTs). METHODS CASTING was a prospective, international, multicenter, single-arm, open-label phase 3 trial (NCT02861014). Patients (Expanded Disability Status Scale [EDSS] score ≤ 4.0, with discontinued prior DMT of ≥6 months duration due to suboptimal disease control) received intravenous ocrelizumab 600 mg every 24 weeks for 96 weeks. The primary endpoint was NEDA (defined as absence of relapses, disability progression, and inflammatory MRI measures, with prespecified MRI re-baselining at Week 8) over 96 weeks. RESULTS A total of 680 patients were enrolled, 167 (24.6%) based on MRI activity only. At Week 96, 74.8% (95% confidence interval [CI] 71.3-78.0, n/N = 492/658) of patients had NEDA. NEDA was highest among patients enrolled due to MRI activity alone (80.6% [95% CI 68.6-89.6], n/N = 50/62) versus those enrolled for relapse (75.1% [95% CI 69.0-80.6], n/N = 172/229) or for relapse with MRI (70.5% [95% CI 60.0-79.0], n/N = 74/105). NEDA across subgroups was highest in patients with a baseline EDSS score <2.5 (77.2% [95% CI 72.8-81.2], n/N = 315/408). NEDA was higher in patients receiving one prior DMT (77.6% [95% CI 73.2-81.6], n/N = 312/402) versus two prior DMTs (70.3% [95% CI 64.3-75.8], n/N = 180/256). CONCLUSIONS In patients switching therapy due to suboptimal disease control, treatment with ocrelizumab led to an overall high NEDA rate across a wide range of disease-related and demographic subgroups, regardless of prior treatment background, with no new safety signals detected.
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Affiliation(s)
- Patrick Vermersch
- Univ. Lille, Inserm U1172 LilNCog, CHU Lille, FHU Precise, Lille, France
| | | | - Aksel Siva
- Istanbul University Cerrahpasa School of Medicine, Istanbul, Turkey
| | | | - Heinz Wiendl
- Department of Neurology with Institute of Translational Neurology, University of Münster, Münster, Germany
| | - Jens Wuerfel
- Medical Image Analysis Center (MIAC AG), Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | | | | | | | - Giancarlo Comi
- Vita-Salute San Raffaele University, Milan Casa di Cura del Policlinico, Milan, Italy
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21
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Tsagkas C, Naegelin Y, Amann M, Papadopoulou A, Barro C, Chakravarty MM, Gaetano L, Wuerfel J, Kappos L, Kuhle J, Granziera C, Sprenger T, Magon S, Parmar K. Central nervous system atrophy predicts future dynamics of disability progression in a real-world multiple sclerosis cohort. Eur J Neurol 2021; 28:4153-4166. [PMID: 34487400 PMCID: PMC9292558 DOI: 10.1111/ene.15098] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 08/20/2021] [Indexed: 11/28/2022]
Abstract
Background and purpose In an era of individualized multiple sclerosis (MS) patient management, biomarkers for accurate prediction of future clinical outcomes are needed. We aimed to evaluate the potential of short‐term magnetic resonance imaging (MRI) atrophy measures and serum neurofilament light chain (sNfL) as predictors of the dynamics of disability accumulation in relapse‐onset MS. Methods Brain gray and white matter, thalamic, striatal, pallidal and cervical spinal cord volumes, and lesion load were measured over three available time points (mean time span 2.24 ± 0.70 years) for 183 patients (140 relapsing‐remitting [RRMS] and 43 secondary‐progressive MS (SPMS); 123 female, age 46.4 ± 11.0 years; disease duration 15.7 ± 9.3 years), and their respective annual changes were calculated. Baseline sNfL was also measured at the third available time point for each patient. Subsequently, patients underwent annual clinical examinations over 5.4 ± 3.7 years including Expanded Disability Status Scale (EDSS) scoring, the nine‐hole peg test and the timed 25‐foot walk test. Results Higher annual spinal cord atrophy rates and lesion load increase predicted higher future EDSS score worsening over time in SPMS. Lower baseline thalamic volumes predicted higher walking speed worsening over time in RRMS. Lower baseline gray matter, as well as higher white matter and spinal cord atrophy rates, lesion load increase, baseline striatal volumes and baseline sNfL, predicted higher future hand dexterity worsening over time. All models showed reasonable to high prediction accuracy. Conclusion This study demonstrates the capability of short‐term MRI metrics to accurately predict future dynamics of disability progression in a real‐world relapse‐onset MS cohort. The present study represents a step towards the utilization of structural MRI measurements in patient care.
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Affiliation(s)
- Charidimos Tsagkas
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Medical Image Analysis Center AG, Basel, Switzerland
| | - Yvonne Naegelin
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Michael Amann
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Medical Image Analysis Center AG, Basel, Switzerland.,Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Athina Papadopoulou
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Christian Barro
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - M Mallar Chakravarty
- Department of Psychiatry, McGill University, Montreal, QC, Canada.,Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, QC, Canada.,Department of Biomedical Engineering, McGill University, Montreal, QC, Canada
| | | | - Jens Wuerfel
- Medical Image Analysis Center AG, Basel, Switzerland.,Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Cristina Granziera
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Medical Image Analysis Center AG, Basel, Switzerland.,Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Till Sprenger
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Department of Neurology, DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany
| | - Stefano Magon
- Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Katrin Parmar
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
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22
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Parmar K, Fonov VS, Naegelin Y, Amann M, Wuerfel J, Collins DL, Gaetano L, Magon S, Sprenger T, Kappos L, Granziera C, Tsagkas C. Regional Cerebellar Volume Loss Predicts Future Disability in Multiple Sclerosis Patients. Cerebellum 2021; 21:632-646. [PMID: 34417983 PMCID: PMC9325849 DOI: 10.1007/s12311-021-01312-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 07/21/2021] [Indexed: 01/18/2023]
Abstract
Cerebellar symptoms in multiple sclerosis (MS) are well described; however, the exact contribution of cerebellar damage to MS disability has not been fully explored. Longer-term observational periods are necessary to better understand the dynamics of pathological changes within the cerebellum and their clinical consequences. Cerebellar lobe and single lobule volumes were automatically segmented on 664 3D-T1-weighted MPRAGE scans (acquired at a single 1.5 T scanner) of 163 MS patients (111 women; mean age: 47.1 years; 125 relapsing–remitting (RR) and 38 secondary progressive (SP) MS, median EDSS: 3.0) imaged annually over 4 years. Clinical scores (EDSS, 9HPT, 25FWT, PASAT, SDMT) were determined per patient per year with a maximum clinical follow-up of 11 years. Linear mixed-effect models were applied to assess the association between cerebellar volumes and clinical scores and whether cerebellar atrophy measures may predict future disability progression. SPMS patients exhibited faster posterior superior lobe volume loss over time compared to RRMS, which was related to increase of EDSS over time. In RRMS, cerebellar volumes were significant predictors of motor scores (e.g. average EDSS, T25FWT and 9HPT) and SDMT. Atrophy of motor-associated lobules (IV-VI + VIII) was a significant predictor of future deterioration of the 9HPT of the non-dominant hand. In SPMS, the atrophy rate of the posterior superior lobe (VI + Crus I) was a significant predictor of future PASAT performance deterioration. Regional cerebellar volume reduction is associated with motor and cognitive disability in MS and may serve as a predictor for future disease progression, especially of dexterity and impaired processing speed.
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Affiliation(s)
- Katrin Parmar
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland. .,Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland. .,Reha Rheinfelden, Rheinfelden, Switzerland.
| | - Vladimir S Fonov
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, CA, USA
| | - Yvonne Naegelin
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Michael Amann
- Medical Image Analysis Center (MIAC AG), Basel, Switzerland.,Quantitative Biomedical Imaging Group (Qbig), Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center (MIAC AG), Basel, Switzerland.,Quantitative Biomedical Imaging Group (Qbig), Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - D Louis Collins
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, CA, USA
| | - Laura Gaetano
- Neuroscience/Digital Medicine, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Stefano Magon
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland
| | - Till Sprenger
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Department of Neurology, DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Cristina Granziera
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Charidimos Tsagkas
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
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23
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Granziera C, Wuerfel J, Barkhof F, Calabrese M, De Stefano N, Enzinger C, Evangelou N, Filippi M, Geurts JJG, Reich DS, Rocca MA, Ropele S, Rovira À, Sati P, Toosy AT, Vrenken H, Gandini Wheeler-Kingshott CAM, Kappos L. Quantitative magnetic resonance imaging towards clinical application in multiple sclerosis. Brain 2021; 144:1296-1311. [PMID: 33970206 PMCID: PMC8219362 DOI: 10.1093/brain/awab029] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 10/25/2020] [Accepted: 11/16/2020] [Indexed: 12/11/2022] Open
Abstract
Quantitative MRI provides biophysical measures of the microstructural integrity of the CNS, which can be compared across CNS regions, patients, and centres. In patients with multiple sclerosis, quantitative MRI techniques such as relaxometry, myelin imaging, magnetization transfer, diffusion MRI, quantitative susceptibility mapping, and perfusion MRI, complement conventional MRI techniques by providing insight into disease mechanisms. These include: (i) presence and extent of diffuse damage in CNS tissue outside lesions (normal-appearing tissue); (ii) heterogeneity of damage and repair in focal lesions; and (iii) specific damage to CNS tissue components. This review summarizes recent technical advances in quantitative MRI, existing pathological validation of quantitative MRI techniques, and emerging applications of quantitative MRI to patients with multiple sclerosis in both research and clinical settings. The current level of clinical maturity of each quantitative MRI technique, especially regarding its integration into clinical routine, is discussed. We aim to provide a better understanding of how quantitative MRI may help clinical practice by improving stratification of patients with multiple sclerosis, and assessment of disease progression, and evaluation of treatment response.
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Affiliation(s)
- Cristina Granziera
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center, Basel, Switzerland
- Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, multiple sclerosis Center Amsterdam, Amsterdam University Medical Center, Amsterdam, The Netherlands
- UCL Institutes of Healthcare Engineering and Neurology, London, UK
| | - Massimiliano Calabrese
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Nicola De Stefano
- Neurology, Department of Medicine, Surgery and Neuroscience, University of Siena, Italy
| | - Christian Enzinger
- Department of Neurology and Division of Neuroradiology, Medical University of Graz, Graz, Austria
| | - Nikos Evangelou
- Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, and Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Jeroen J G Geurts
- Department of Anatomy and Neurosciences, multiple sclerosis Center Amsterdam, Neuroscience Amsterdam, Amsterdam University Medical Centers, location VUmc, Amsterdam, The Netherlands
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD, USA
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, and Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Stefan Ropele
- Neuroimaging Research Unit, Department of Neurology, Medical University of Graz, Graz, Austria
| | - Àlex Rovira
- Section of Neuroradiology (Department of Radiology), Vall d'Hebron University Hospital and Research Institute, Barcelona, Spain
| | - Pascal Sati
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD, USA
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Ahmed T Toosy
- Queen Square multiple sclerosis Centre, Department of Neuroinflammation, Queen Square Institute of Neurology, University College London, London, UK
| | - Hugo Vrenken
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, multiple sclerosis Center Amsterdam, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Claudia A M Gandini Wheeler-Kingshott
- Queen Square multiple sclerosis Centre, Department of Neuroinflammation, Queen Square Institute of Neurology, University College London, London, UK
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
- Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
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24
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Oechtering J, Schaedelin S, Benkert P, Müller S, Achtnichts L, Vehoff J, Disanto G, Findling O, Fischer-Barnicol B, Orleth A, Chan A, Pot C, Barakovic M, Rahmanzadeh R, Galbusera R, Heijnen I, Lalive PH, Wuerfel J, Subramaniam S, Aeschbacher S, Conen D, Naegelin Y, Maceski A, Meier S, Berger K, Wiendl H, Lincke T, Lieb J, Yaldizli Ö, Sinnecker T, Derfuss T, Regeniter A, Zecca C, Gobbi C, Kappos L, Granziera C, Leppert D, Kuhle J. Intrathecal Immunoglobulin M Synthesis is an Independent Biomarker for Higher Disease Activity and Severity in Multiple Sclerosis. Ann Neurol 2021; 90:477-489. [PMID: 34057235 PMCID: PMC8518907 DOI: 10.1002/ana.26137] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 05/26/2021] [Accepted: 05/27/2021] [Indexed: 11/12/2022]
Abstract
OBJECTIVE We aimed to determine in relapsing multiple sclerosis (MS) whether intrathecal synthesis of immunoglobulin (Ig) M and IgG is associated with outcomes reflecting inflammatory activity and chronic worsening. METHODS We compared cerebrospinal fluid analysis, clinical and magnetic resonance imaging data, and serum neurofilament light chain (sNfL) levels at baseline and follow-up in 530 patients with relapsing MS. Patients were categorized by the presence of oligoclonal IgG bands (OCGB) and intrathecal synthesis of IgG and IgM (intrathecal fraction [IF]: IgGIF and IgMIF ). Relationships with the time to first relapse, sNfL concentrations, T2-weighted (T2w) lesions, MS Severity Score (MSSS), and time to initiation of high-efficacy therapy were analyzed in covariate-adjusted statistical models. RESULTS By categorical analysis, in patients with IgMIF the median time to first relapse was 28 months shorter and MSSS on average higher by 1.11 steps compared with patients without intrathecal immunoglobulin synthesis. Moreover, patients with IgMIF had higher sNfL concentrations, more new/enlarging T2w lesions, and higher total T2w lesion counts (all p ≤ 0.01). These associations were absent or equally smaller in patients who were positive for only OCGB or OCGB/IgGIF . Furthermore, quantitative analyses revealed that in patients with IgMIF ≥ median, the time to first relapse and to initiation of high-efficacy therapy was shorter by 32 and by 203 months, respectively (both p < 0.01), in comparison to patients with IgMIF < median. Dose-dependent associations were also found for IgMIF but not for IgGIF with magnetic resonance imaging-defined disease activity and sNfL. INTERPRETATION This large study supports the value of intrathecal IgM synthesis as an independent biomarker of disease activity and severity in relapsing MS. ANN NEUROL 2021.
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Affiliation(s)
- Johanna Oechtering
- Neurology Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland
| | - Sabine Schaedelin
- Clinical Trial Unit, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Pascal Benkert
- Clinical Trial Unit, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Stefanie Müller
- Department of Neurology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Lutz Achtnichts
- Department of Neurology, Cantonal Hospital Aarau, Aarau, Switzerland
| | - Jochen Vehoff
- Department of Neurology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Giulio Disanto
- Neurocentre of Southern Switzerland, Multiple Sclerosis Centre, Ospedale Civico, Lugano, Switzerland
| | - Oliver Findling
- Department of Neurology, Cantonal Hospital Aarau, Aarau, Switzerland
| | - Bettina Fischer-Barnicol
- Neurology Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland
| | - Annette Orleth
- Neurology Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Caroline Pot
- Division of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Muhamed Barakovic
- Neurology Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Reza Rahmanzadeh
- Neurology Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Riccardo Galbusera
- Neurology Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Ingmar Heijnen
- Division of Medical Immunology, Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Patrice H Lalive
- Department of Clinical Neurosciences, Division of Neurology, Geneva University Hospital, Geneva, Switzerland.,Diagnostic Department, Division of Laboratory Medicine, Geneva University Hospital, Geneva, Switzerland.,Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University Basel, Basel, Switzerland
| | - Suvitha Subramaniam
- Clinical Trial Unit, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Stefanie Aeschbacher
- Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland
| | - David Conen
- Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Yvonne Naegelin
- Neurology Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland
| | - Aleksandra Maceski
- Neurology Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland
| | - Stephanie Meier
- Neurology Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Heinz Wiendl
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany
| | - Therese Lincke
- Division of Neuroradiology, Department of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Johanna Lieb
- Division of Neuroradiology, Department of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Özgür Yaldizli
- Neurology Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Tim Sinnecker
- Neurology Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland.,Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University Basel, Basel, Switzerland
| | - Tobias Derfuss
- Neurology Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland
| | | | - Chiara Zecca
- Neurocentre of Southern Switzerland, Multiple Sclerosis Centre, Ospedale Civico, Lugano, Switzerland.,Faculty of Biomedical Sciences, Università della Svizzera italiana, Lugano, Switzerland
| | - Claudio Gobbi
- Neurology Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland.,Neurocentre of Southern Switzerland, Multiple Sclerosis Centre, Ospedale Civico, Lugano, Switzerland.,Faculty of Biomedical Sciences, Università della Svizzera italiana, Lugano, Switzerland
| | - Ludwig Kappos
- Neurology Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland
| | - Cristina Granziera
- Neurology Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - David Leppert
- Neurology Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Neurology Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland
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25
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Hämmerle P, Eick C, Poli S, Blum S, Schlageter V, Bauer A, Rizas KD, Eken C, Coslovsky M, Aeschbacher S, Krisai P, Meyre P, Wuerfel J, Sinnecker T, Vesin JM, Beer JH, Moschovitis G, Bonati LH, Sticherling C, Conen D, Osswald S, Kühne M, Zuern CS. Association of Heart Rate Variability With Silent Brain Infarcts in Patients With Atrial Fibrillation. Front Cardiovasc Med 2021; 8:684461. [PMID: 34095266 PMCID: PMC8175975 DOI: 10.3389/fcvm.2021.684461] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 04/20/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose: Silent brain infarcts (SBI) are frequently detected in patients with atrial fibrillation (AF), but it is unknown whether SBI are linked to autonomic dysfunction. We aimed to explore the association of autonomic dysfunction with SBI in AF patients. Methods: 1,358 AF patients without prior stroke or TIA underwent brain MRI and 5-min resting ECG. We divided our cohort into AF patients who presented in sinus rhythm (SR-group, n = 816) or AF (AF-group, n = 542). HRV triangular index (HRVI), standard deviation of normal-to-normal intervals, mean heart rate, root mean square root of successive differences of normal-to-normal intervals, 5-min total power and power in the low frequency, high frequency and very low frequency range were calculated. Primary outcome was presence of SBI in the SR group, defined as large non-cortical or cortical infarcts. Secondary outcomes were SBI volumes and topography. Results: Mean age was 72 ± 9 years, 27% were female. SBI were detected in 10.5% of the SR group and in 19.9% of the AF group (p < 0.001). HRVI <15 was the only HRV parameter associated with the presence of SBI after adjustment for clinical covariates in the SR group [odds ratio (OR) 1.67; 95% confidence interval (CI): 1.03–2.70; p = 0.037]. HRVI <15 was associated with larger brain infarct volumes [β (95% CI) −0.47 (−0.84; −0.09), p = 0.016] in the SR group and was more frequently observed in patients with right- than left-hemispheric SBI (p = 0.017). Conclusion: Impaired HRVI is associated with SBI in AF patients. AF patients with autonomic dysfunction might undergo systematic brain MRI screening to initiate intensified medical treatment. Clinical Trials Gov Identifier: NCT02105844.
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Affiliation(s)
- Peter Hämmerle
- Department of Cardiology, University Hospital Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland
| | - Christian Eick
- Department of Cardiology, University Hospital Tübingen, Tübingen, Germany
| | - Sven Poli
- Department of Neurology & Stroke, Hertie Institute for Clinical Brain Research, Eberhard-Karls University Tübingen, Tübingen, Germany
| | - Steffen Blum
- Department of Cardiology, University Hospital Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland
| | - Vincent Schlageter
- Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland
| | - Axel Bauer
- University Clinic of Internal Medicine III, Cardiology and Angiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Konstantinos D Rizas
- Medizinische Klinik und Poliklinik I, Munich University Clinic, Munich, Germany.,German Center for Cardiovascular Research Partner Site, Munich Heart Alliance, Munich, Germany
| | - Ceylan Eken
- Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland
| | - Michael Coslovsky
- Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland
| | - Stefanie Aeschbacher
- Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland
| | - Philipp Krisai
- Department of Cardiology, University Hospital Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland
| | - Pascal Meyre
- Department of Cardiology, University Hospital Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Tim Sinnecker
- Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland.,Department of Neurology and Stroke Center, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Jean-Marc Vesin
- Institute of Electrical Engineneering, Swiss Federal Institute of Technology, Lausanne University Hospital, Lausanne, Switzerland
| | - Jürg H Beer
- Department of Internal Medicine, Cantonal Hospital Baden, Aargau, Switzerland
| | - Giorgio Moschovitis
- Division of Cardiology, Ospedale Regionale di Lugano-Civico e Italiano, Lugano, Switzerland
| | - Leo H Bonati
- Department of Neurology and Stroke Center, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Christian Sticherling
- Department of Cardiology, University Hospital Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland
| | - David Conen
- Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.,Population Health Research Institute, McMaster University, Hamilton, ON, Canada
| | - Stefan Osswald
- Department of Cardiology, University Hospital Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland
| | - Michael Kühne
- Department of Cardiology, University Hospital Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland
| | - Christine S Zuern
- Department of Cardiology, University Hospital Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland
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26
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Schregel K, Baufeld C, Palotai M, Meroni R, Fiorina P, Wuerfel J, Sinkus R, Zhang YZ, McDannold N, White PJ, Guttmann CRG. Targeted Blood Brain Barrier Opening With Focused Ultrasound Induces Focal Macrophage/Microglial Activation in Experimental Autoimmune Encephalomyelitis. Front Neurosci 2021; 15:665722. [PMID: 34054415 PMCID: PMC8149750 DOI: 10.3389/fnins.2021.665722] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 04/14/2021] [Indexed: 11/13/2022] Open
Abstract
Experimental autoimmune encephalomyelitis (EAE) is a model of multiple sclerosis (MS). EAE reflects important histopathological hallmarks, dissemination, and diversity of the disease, but has only moderate reproducibility of clinical and histopathological features. Focal lesions are less frequently observed in EAE than in MS, and can neither be constrained to specific locations nor timed to occur at a pre-specified moment. This renders difficult any experimental assessment of the pathogenesis of lesion evolution, including its inflammatory, degenerative (demyelination and axonal degeneration), and reparatory (remyelination, axonal sprouting, gliosis) component processes. We sought to develop a controlled model of inflammatory, focal brain lesions in EAE using focused ultrasound (FUS). We hypothesized that FUS induced focal blood brain barrier disruption (BBBD) will increase the likelihood of transmigration of effector cells and subsequent lesion occurrence at the sonicated location. Lesion development was monitored with conventional magnetic resonance imaging (MRI) as well as with magnetic resonance elastography (MRE) and further analyzed by histopathological means. EAE was induced in 12 6-8 weeks old female C57BL/6 mice using myelin oligodendrocyte glycoprotein (MOG) peptide. FUS-induced BBBD was performed 6, 7, and 9 days after immunization in subgroups of four animals and in an additional control group. MRI and MRE were performed on a 7T horizontal bore small animal MRI scanner. Imaging was conducted longitudinally 2 and 3 weeks after disease induction and 1 week after sonication in control animals, respectively. The scan protocol comprised contrast-enhanced T1-weighted and T2-weighted sequences as well as MRE with a vibration frequency of 1 kHz. Animals were sacrificed for histopathology after the last imaging time point. The overall clinical course of EAE was mild. A total of seven EAE animals presented with focal T2w hyperintense signal alterations in the sonicated hemisphere. These were most frequent in the group of animals sonicated 9 days after immunization. Histopathology revealed foci of activated microglia/macrophages in the sonicated right hemisphere of seven EAE animals. Larger cellular infiltrates or apparent demyelination were not seen. Control animals showed no abnormalities on MRI and did not have clusters of activated microglia/macrophages at the sites targeted with FUS. None of the animals had hemorrhages or gross tissue damage as potential side effects of FUS. EAE-animals tended to have lower values of viscoelasticity and elasticity in the sonicated compared to the contralateral parenchyma. This trend was significant when comparing the right sonicated to the left normal hemisphere and specifically the right sonicated compared to the left normal cortex in animals that underwent FUS-BBBD 9 days after immunization (right vs. left hemisphere: mean viscoelasticity 6.1 vs. 7.2 kPa; p = 0.003 and mean elasticity 4.9 vs. 5.7 kPa, p = 0.024; right vs. left cortex: mean viscoelasticity 5.8 vs. 7.5 kPa; p = 0.004 and mean elasticity 5 vs. 6.5 kPa; p = 0.008). A direct comparison of the biomechanical properties of focal T2w hyperintensities with normal appearing brain tissue did not yield significant results. Control animals showed no differences in viscoelasticity between sonicated and contralateral brain parenchyma. We here provide first evidence for a controlled lesion induction model in EAE using FUS-induced BBBD. The observed lesions in EAE are consistent with foci of activated microglia that may be interpreted as targeted initial inflammatory activity and which have been described as pre-active lesions in MS. Such foci can be identified and monitored with MRI. Moreover, the increased inflammatory activity in the sonicated brain parenchyma seems to have an effect on overall tissue matrix structure as reflected by changes of biomechanical parameters.
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Affiliation(s)
- Katharina Schregel
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.,Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.,Institute of Neuroradiology, University Medical Center Göttingen, Göttingen, Germany
| | - Caroline Baufeld
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Miklos Palotai
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Roberta Meroni
- Nephrology Division, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States.,Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Transplantation Research Center, Renal Division, Brigham and Women's Hospital, Boston, MA, United States
| | - Paolo Fiorina
- Nephrology Division, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States.,International Center for T1D, Pediatric Clinical Research Center Fondazione Romeo ed Enrica Invernizzi, Department of Biomedical and Clinical Science L. Sacco, University of Milan, Milan, Italy
| | - Jens Wuerfel
- MIAC AG and Department of Biomedical Engineering, University Basel, Basel, Switzerland
| | - Ralph Sinkus
- Division of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom.,INSERM UMR S1148 - Laboratory for Vascular Translational Science, University Paris, Paris, France
| | - Yong-Zhi Zhang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Nathan McDannold
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - P Jason White
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Charles R G Guttmann
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
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27
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Bellmann-Strobl J, Paul F, Wuerfel J, Dörr J, Infante-Duarte C, Heidrich E, Körtgen B, Brandt A, Pfüller C, Radbruch H, Rust R, Siffrin V, Aktas O, Heesen C, Faiss J, Hoffmann F, Lorenz M, Zimmermann B, Groppa S, Wernecke KD, Zipp F. Epigallocatechin Gallate in Relapsing-Remitting Multiple Sclerosis: A Randomized, Placebo-Controlled Trial. Neurol Neuroimmunol Neuroinflamm 2021; 8:e981. [PMID: 33762428 PMCID: PMC8054966 DOI: 10.1212/nxi.0000000000000981] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 01/07/2021] [Indexed: 01/04/2023]
Abstract
OBJECTIVE To assess the safety and efficacy of epigallocatechin-3-gallate (EGCG) add-on to glatiramer acetate (GA) in patients with relapsing-remitting multiple sclerosis (RRMS). METHODS We enrolled patients with RRMS (aged 18-60 years, Expanded Disability Status Scale [EDSS] score 0-6.5), receiving stable GA treatment in a multicenter, prospective, double-blind, phase II, randomized controlled trial. Participants received up to 800 mg oral EGCG daily over a period of 18 months. The primary outcome was the proportion of patients without new hyperintense lesions on T2-weighted (T2w) brain MRI within 18 months. Secondary end points included additional MRI and clinical parameters. Immunologic effects of EGCG were investigated in exploratory experiments. RESULTS A total of 122 patients on GA were randomly assigned to EGCG treatment (n = 62) or placebo (n = 60). We could not demonstrate a difference between groups after 18 months for the primary outcome or other radiologic (T2w lesion volume, T1w hypointense lesion number or volume, number of cumulative contrast-enhancing lesions, percent brain volume change), or clinical (EDSS, MS functional composite, and annualized relapse rate) parameter. EGCG treatment did not affect immune response to GA. Pharmacologic analysis revealed wide ranging EGCG plasma levels. The treatment was well tolerated with a similar incidence of mostly mild adverse events similar in both groups. CONCLUSION In RRMS, oral EGCG add-on to GA was not superior to placebo in influencing MRI and clinical disease activity over 18 months. The treatment was safe at a daily dosage up to 800 mg EGCG. It did not influence immune parameters, despite indication of EGCG being bioavailable in patients. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that for patients with RRMS, EGCG added to GA did not significantly affect the development of new hyperintense lesions on T2-weighted brain MRI. TRIAL REGISTRATION INFORMATION Clinical trial registration number: NCT00525668.
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Affiliation(s)
- Judith Bellmann-Strobl
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin.
| | - Friedemann Paul
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
| | - Jens Wuerfel
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
| | - Jan Dörr
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
| | - Carmen Infante-Duarte
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
| | - Elmira Heidrich
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
| | - Benedict Körtgen
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
| | - Alexander Brandt
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
| | - Caspar Pfüller
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
| | - Helena Radbruch
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
| | - Rebekka Rust
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
| | - Volker Siffrin
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
| | - Orhan Aktas
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
| | - Christoph Heesen
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
| | - Jürgen Faiss
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
| | - Frank Hoffmann
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
| | - Mario Lorenz
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
| | - Benno Zimmermann
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
| | - Sergiu Groppa
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
| | - Klaus-Dieter Wernecke
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
| | - Frauke Zipp
- From the NeuroCure Clinical Research Center (J.B.-S., F.P., J.D., A.B., V.S.), Charité-Universitätsmedizin Berlin; Medical Image Analysis Center (J.W.), University Basel; Institut for Medical Immunology (C.I.-D., E.H.), Charité-Universitätsmedizin Berlin; Department of Neurology and Neuroimaging Center (B.K.), Johannes Gutenberg University, Mainz; Charité-Universitätsmedizin Berlin (C.P.); NeuroCure Clinical Research Center (H.R., R.R.), Charité-Universitätsmedizin Berlin, Germany; Department of Neurology (O.A.), Medical Faculty, Heinrich Heine University Düsseldorf; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf, Hamburg; Klinik für Neurologie (J.F.), Asklepios Klinik Lübben/Teupitz; Department of Neurology (F.H.), Krankenhaus Martha-Maria Halle-Dölau, Halle/Saale; Medizinische Klinik für Kardiologie und Angiologie (M.L.), Campus Mitte, Charité-Universitätsmedizin Berlin; Institute of Nutritional and Food Sciences (B.Z.), University of Bonn; Department of Neurology and Neuroimaging Center (NIC) (S.G., F.Z.), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz; and Charité-Universitätsmedizin Berlin and SOSTANA GmbH (K.-D.W.), Berlin
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28
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Rust R, Chien C, Scheel M, Brandt AU, Dörr J, Wuerfel J, Klumbies K, Zimmermann H, Lorenz M, Wernecke KD, Bellmann-Strobl J, Paul F. Epigallocatechin Gallate in Progressive MS: A Randomized, Placebo-Controlled Trial. Neurol Neuroimmunol Neuroinflamm 2021; 8:e964. [PMID: 33622766 PMCID: PMC7954462 DOI: 10.1212/nxi.0000000000000964] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 12/17/2020] [Indexed: 11/15/2022]
Abstract
OBJECTIVE To examine whether treatment with epigallocatechin gallate (EGCG) influences progression of brain atrophy, reduces clinical and further radiologic disease activity markers, and is safe in patients with progressive multiple sclerosis (PMS). METHODS We enrolled 61 patients with primary or secondary PMS in a randomized double-blind, parallel-group, phase II trial on oral EGCG (up to 1,200 mg daily) or placebo for 36 months with an optional open-label EGCG treatment extension (OE) of 12-month duration. The primary end point was the rate of brain atrophy, quantified as brain parenchymal fraction (BPF). The secondary end points were radiologic and clinical disease parameters and safety assessments. RESULTS In our cohort, 30 patients were randomized to EGCG treatment and 31 to placebo. Thirty-eight patients (19 from each group) completed the study. The primary endpoint was not met, as in 36 months the rate of decrease in BPF was 0.0092 ± 0.0152 in the treatment group and -0.0078 ± 0.0159 in placebo-treated patients. None of the secondary MRI and clinical end points revealed group differences. Adverse events of EGCG were mostly mild and occurred with a similar incidence in the placebo group. One patient in the EGCG group had to stop treatment due to elevated aminotransferases (>3.5 times above normal limit). CONCLUSIONS In a phase II trial including patients with multiple sclerosis (MS) with progressive disease course, we were unable to demonstrate a treatment effect of EGCG on the primary and secondary radiologic and clinical disease parameters while confirming on overall beneficial safety profile. CLINICALTRIALGOV IDENTIFIER NCT00799890. CLASSIFICATION OF EVIDENCE This phase II trial provides Class II evidence that for patients with PMS, EGCG was safe, well tolerated, and did not significantly reduce the rate of brain atrophy.
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Affiliation(s)
- Rebekka Rust
- From the Charité - Universitätsmedizin Berlin (R.R., C.C., M.S., A.U.B., J.D., K.K., H.Z., M.L., K.-D.W., J.B.-S., F.P.), Berlin, Germany; and Jens Würfel, University Basel, Basel, Switzerland
| | - Claudia Chien
- From the Charité - Universitätsmedizin Berlin (R.R., C.C., M.S., A.U.B., J.D., K.K., H.Z., M.L., K.-D.W., J.B.-S., F.P.), Berlin, Germany; and Jens Würfel, University Basel, Basel, Switzerland
| | - Michael Scheel
- From the Charité - Universitätsmedizin Berlin (R.R., C.C., M.S., A.U.B., J.D., K.K., H.Z., M.L., K.-D.W., J.B.-S., F.P.), Berlin, Germany; and Jens Würfel, University Basel, Basel, Switzerland
| | - Alexander U Brandt
- From the Charité - Universitätsmedizin Berlin (R.R., C.C., M.S., A.U.B., J.D., K.K., H.Z., M.L., K.-D.W., J.B.-S., F.P.), Berlin, Germany; and Jens Würfel, University Basel, Basel, Switzerland
| | - Jan Dörr
- From the Charité - Universitätsmedizin Berlin (R.R., C.C., M.S., A.U.B., J.D., K.K., H.Z., M.L., K.-D.W., J.B.-S., F.P.), Berlin, Germany; and Jens Würfel, University Basel, Basel, Switzerland
| | - Jens Wuerfel
- From the Charité - Universitätsmedizin Berlin (R.R., C.C., M.S., A.U.B., J.D., K.K., H.Z., M.L., K.-D.W., J.B.-S., F.P.), Berlin, Germany; and Jens Würfel, University Basel, Basel, Switzerland
| | - Katharina Klumbies
- From the Charité - Universitätsmedizin Berlin (R.R., C.C., M.S., A.U.B., J.D., K.K., H.Z., M.L., K.-D.W., J.B.-S., F.P.), Berlin, Germany; and Jens Würfel, University Basel, Basel, Switzerland
| | - Hanna Zimmermann
- From the Charité - Universitätsmedizin Berlin (R.R., C.C., M.S., A.U.B., J.D., K.K., H.Z., M.L., K.-D.W., J.B.-S., F.P.), Berlin, Germany; and Jens Würfel, University Basel, Basel, Switzerland
| | - Mario Lorenz
- From the Charité - Universitätsmedizin Berlin (R.R., C.C., M.S., A.U.B., J.D., K.K., H.Z., M.L., K.-D.W., J.B.-S., F.P.), Berlin, Germany; and Jens Würfel, University Basel, Basel, Switzerland
| | - Klaus-Dieter Wernecke
- From the Charité - Universitätsmedizin Berlin (R.R., C.C., M.S., A.U.B., J.D., K.K., H.Z., M.L., K.-D.W., J.B.-S., F.P.), Berlin, Germany; and Jens Würfel, University Basel, Basel, Switzerland
| | - Judith Bellmann-Strobl
- From the Charité - Universitätsmedizin Berlin (R.R., C.C., M.S., A.U.B., J.D., K.K., H.Z., M.L., K.-D.W., J.B.-S., F.P.), Berlin, Germany; and Jens Würfel, University Basel, Basel, Switzerland
| | - Friedemann Paul
- From the Charité - Universitätsmedizin Berlin (R.R., C.C., M.S., A.U.B., J.D., K.K., H.Z., M.L., K.-D.W., J.B.-S., F.P.), Berlin, Germany; and Jens Würfel, University Basel, Basel, Switzerland.
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Tsagkas C, Parmar K, Pezold S, Barro C, Chakravarty MM, Gaetano L, Naegelin Y, Amann M, Papadopoulou A, Wuerfel J, Kappos L, Kuhle J, Sprenger T, Granziera C, Magon S. Classification of multiple sclerosis based on patterns of CNS regional atrophy covariance. Hum Brain Mapp 2021; 42:2399-2415. [PMID: 33624390 PMCID: PMC8090784 DOI: 10.1002/hbm.25375] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Revised: 02/04/2021] [Accepted: 02/07/2021] [Indexed: 01/18/2023] Open
Abstract
There is evidence that multiple sclerosis (MS) pathology leads to distinct patterns of volume loss over time (VLOT) in different central nervous system (CNS) structures. We aimed to use such patterns to identify patient subgroups. MS patients of all classical disease phenotypes underwent annual clinical, blood, and MRI examinations over 6 years. Spinal, striatal, pallidal, thalamic, cortical, white matter, and T2‐weighted lesion volumes as well as serum neurofilament light chain (sNfL) were quantified. CNS VLOT patterns were identified using principal component analysis and patients were classified using hierarchical cluster analysis. 225 MS patients were classified into four distinct Groups A, B, C, and D including 14, 59, 141, and 11 patients, respectively). These groups did not differ in baseline demographics, disease duration, disease phenotype distribution, and lesion‐load expansion. Interestingly, Group A showed pronounced spinothalamic VLOT, Group B marked pallidal VLOT, Group C small between‐structure VLOT differences, and Group D myelocortical volume increase and pronounced white matter VLOT. Neurologic deficits were more severe and progressed faster in Group A that also had higher mean sNfL levels than all other groups. Group B experienced more frequent relapses than Group C. In conclusion, there are distinct patterns of VLOT across the CNS in MS patients, which do not overlap with clinical MS subtypes and are independent of disease duration and lesion‐load but are partially associated to sNfL levels, relapse rates, and clinical worsening. Our findings support the need for a more biologic classification of MS subtypes including volumetric and body‐fluid markers.
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Affiliation(s)
- Charidimos Tsagkas
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Medical Image Analysis Center AG, Basel, Switzerland
| | - Katrin Parmar
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Simon Pezold
- Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Christian Barro
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Mallar M Chakravarty
- Department of Psychiatry, McGill University, Montreal, QC, Canada.,Cerebral Imaging Centre-Douglas Mental Health University Institute, Verdun, QC, Canada.,Department of Biomedical Engineering, McGill University, Montreal, QC, Canada
| | | | - Yvonne Naegelin
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Michael Amann
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Medical Image Analysis Center AG, Basel, Switzerland.,Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Athina Papadopoulou
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Jens Wuerfel
- Medical Image Analysis Center AG, Basel, Switzerland.,Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.,NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Till Sprenger
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Department of Neurology, DKD HELIOS Klinik Wiesbaden, Germany
| | - Cristina Granziera
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Stefano Magon
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland
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30
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Collongues N, Kuhle J, Tsagkas C, Lamy J, Meyer N, Barro C, Parmar K, Amann M, Wuerfel J, Kappos L, Moreau T, de Seze J. Biomarkers of treatment response in patients with progressive multiple sclerosis treated with high-dose pharmaceutical-grade biotin (MD1003). Brain Behav 2021; 11:e01998. [PMID: 33314801 PMCID: PMC7882156 DOI: 10.1002/brb3.1998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 11/25/2020] [Accepted: 11/28/2020] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND High-dose pharmaceutical-grade biotin (MD1003) has positive effects on disability in progressive multiple sclerosis (PMS), but its mechanism of action remains unclear. The objective of our study was to quantify the effect of MD1003 in patients with PMS, using clinical response, plasma neurofilament light chain (pNfL) levels, and brain (BV) or cervical spinal cord volume (CSCV). MATERIALS AND METHODS Forty-eight patients with PMS newly treated with MD1003 were followed during one year. Patients were assessed clinically using the Expanded Disability Status Scale (EDSS), the nine-hole peg test (9HPT), and the 25-foot walk time (25FWT). CSCV was quantified using CORDIAL software and BV using SIENA or SIENAX. We measured pNfL level using SIMOA at several time points. Bayesian linear and logistic regressions were used to evaluate potential prognostic factors. RESULTS Treatment response, defined as a significant decrease of EDSS, 25FWT, or 9HPT at 1 year, was observed in 13 patients (27%). A gain of volume was noted in 7/24 patients for brain and in 10/19 patients for cervical spinal cord. The strongest predictors of poor treatment response were a high pNfL level at MD1003 onset (OR 0.96; 95% CI [0.91; 1]), high age at MS onset (OR 0.95; 95% CI [0.89; 1.01]), and an increase in brain lesion load during MD1003 treatment (OR 0.81; 95% CI [0.55; 1.05]). CONCLUSIONS MD1003 treatment was associated with clinical, BV, and CSCV improvement at 1 year. The correlation between the levels of pNfL at baseline, the age at multiple sclerosis onset, and a treatment response at M12 is consistent with a better effect in less disabled patients.
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Affiliation(s)
- Nicolas Collongues
- Department of Neurology, University Hospital of Strasbourg, Strasbourg, France
| | - Jens Kuhle
- Neurological Clinic and Polyclinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Charidimos Tsagkas
- Neurological Clinic and Polyclinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel, University of Basel, Basel, Switzerland.,Medical Image Analysis Centre Basel and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Julien Lamy
- ICube, Université de Strasbourg-CNRS, University of Strasbourg, Strasbourg, France
| | - Nicolas Meyer
- GMRC, Service de Santé Publique, University Hospital of Strasbourg, Strasbourg, France
| | | | - Katrin Parmar
- Neurological Clinic and Polyclinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel, University of Basel, Basel, Switzerland.,Medical Image Analysis Centre Basel and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Michael Amann
- Medical Image Analysis Centre Basel and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Centre Basel and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Ludwig Kappos
- Neurological Clinic and Polyclinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Thibault Moreau
- Department of Neurology, University Hospital of Dijon, Dijon, France
| | - Jerome de Seze
- Department of Neurology, University Hospital of Strasbourg, Strasbourg, France
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31
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Sander L, Horvath A, Pezold S, Andermatt S, Amann M, Sinnecker T, Wendebourg MJ, Kesenheimer E, Yaldizli Ö, Kappos L, Granziera C, Wuerfel J, Cattin P, Schlaeger R. Improving Accuracy of Brainstem MRI Volumetry: Effects of Age and Sex, and Normalization Strategies. Front Neurosci 2021; 14:609422. [PMID: 33424541 PMCID: PMC7785816 DOI: 10.3389/fnins.2020.609422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 11/30/2020] [Indexed: 12/04/2022] Open
Abstract
Background: Brainstem-mediated functions are impaired in neurodegenerative diseases and aging. Atrophy can be visualized by MRI. This study investigates extrinsic sources of brainstem volume variability, intrinsic sources of anatomical variability, and the influence of age and sex on the brainstem volumes in healthy subjects. We aimed to develop efficient normalization strategies to reduce the effects of intrinsic anatomic variability on brainstem volumetry. Methods: Brainstem segmentation was performed from MPRAGE data using our deep-learning-based brainstem segmentation algorithm MD-GRU. The extrinsic variability of brainstem volume assessments across scanners and protocols was investigated in two groups comprising 11 (median age 33.3 years, 7 women) and 22 healthy subjects (median age 27.6 years, 50% women) scanned twice and compared using Dice scores. Intrinsic anatomical inter-individual variability and age and sex effects on brainstem volumes were assessed in segmentations of 110 healthy subjects (median age 30.9 years, range 18–72 years, 53.6% women) acquired on 1.5T (45%) and 3T (55%) scanners. The association between brainstem volumes and predefined anatomical covariates was studied using Pearson correlations. Anatomical variables with associations of |r| > 0.30 as well as the variables age and sex were used to construct normalization models using backward selection. The effect of the resulting normalization models was assessed by % relative standard deviation reduction and by comparing the inter-individual variability of the normalized brainstem volumes to the non-normalized values using paired t- tests with Bonferroni correction. Results: The extrinsic variability of brainstem volumetry across different field strengths and imaging protocols was low (Dice scores > 0.94). Mean inter-individual variability/SD of total brainstem volumes was 9.8%/7.36. A normalization based on either total intracranial volume (TICV), TICV and age, or v-scale significantly reduced the inter-individual variability of total brainstem volumes compared to non-normalized volumes and similarly reduced the relative standard deviation by about 35%. Conclusion: The extrinsic variability of the novel brainstem segmentation method MD-GRU across different scanners and imaging protocols is very low. Anatomic inter-individual variability of brainstem volumes is substantial. This study presents efficient normalization models for variability reduction in brainstem volumetry in healthy subjects.
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Affiliation(s)
- Laura Sander
- Neurologic Clinic and Policlinic, Departments of Medicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Antal Horvath
- Department of Biomedical Engineering, Center for Medical Image Analysis & Navigation (CIAN), University of Basel, Allschwil, Switzerland
| | - Simon Pezold
- Department of Biomedical Engineering, Center for Medical Image Analysis & Navigation (CIAN), University of Basel, Allschwil, Switzerland
| | - Simon Andermatt
- Department of Biomedical Engineering, Center for Medical Image Analysis & Navigation (CIAN), University of Basel, Allschwil, Switzerland
| | - Michael Amann
- Department of Biomedical Engineering, Medical Image Analysis Center (MIAC AG) and qbig, University of Basel, Basel, Switzerland
| | - Tim Sinnecker
- Neurologic Clinic and Policlinic, Departments of Medicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland.,Department of Biomedical Engineering, Medical Image Analysis Center (MIAC AG) and qbig, University of Basel, Basel, Switzerland
| | - Maria J Wendebourg
- Neurologic Clinic and Policlinic, Departments of Medicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Eva Kesenheimer
- Neurologic Clinic and Policlinic, Departments of Medicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Özgür Yaldizli
- Neurologic Clinic and Policlinic, Departments of Medicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Cristina Granziera
- Neurologic Clinic and Policlinic, Departments of Medicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Jens Wuerfel
- Department of Biomedical Engineering, Medical Image Analysis Center (MIAC AG) and qbig, University of Basel, Basel, Switzerland
| | - Philippe Cattin
- Department of Biomedical Engineering, Center for Medical Image Analysis & Navigation (CIAN), University of Basel, Allschwil, Switzerland
| | - Regina Schlaeger
- Neurologic Clinic and Policlinic, Departments of Medicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland.,Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
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32
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Polymeris AA, Coslovksy M, Aeschbacher S, Sinnecker T, Benkert P, Kobza R, Beer J, Rodondi N, Fischer U, Moschovitis G, Monsch AU, Springer A, Schwenkglenks M, Wuerfel J, De Marchis GM, Lyrer PA, Kühne M, Osswald S, Conen D, Kuhle J, Bonati LH. Serum neurofilament light in atrial fibrillation: clinical, neuroimaging and cognitive correlates. Brain Commun 2021; 2:fcaa166. [PMID: 33381755 PMCID: PMC7753055 DOI: 10.1093/braincomms/fcaa166] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 09/09/2020] [Accepted: 09/14/2020] [Indexed: 12/12/2022] Open
Abstract
Emerging evidence suggests that atrial fibrillation is associated with cognitive dysfunction independently of stroke, but the underlying mechanisms remain unclear. In this cross-sectional analysis from the Swiss-atrial fibrillation Study (NCT02105844), we investigated the association of serum neurofilament light protein, a neuronal injury biomarker, with (i) the CHA2DS2-VASc score (congestive heart failure, hypertension, age 65–74 or >75 years, diabetes mellitus, stroke or transient ischaemic attack, vascular disease, sex), clinical and neuroimaging parameters and (ii) cognitive measures in atrial fibrillation patients. We measured neurofilament light in serum using an ultrasensitive single-molecule array assay in a sample of 1379 atrial fibrillation patients (mean age, 72 years; female, 27%). Ischaemic infarcts, small vessel disease markers and normalized brain volume were assessed on brain MRI. Cognitive testing included the Montreal cognitive assessment, trail-making test, semantic verbal fluency and digit symbol substitution test, which were summarized using principal component analysis. Results were analysed using univariable and multivariable linear regression. Neurofilament light was associated with the CHA2DS2-VASc score, with an average 19.2% [95% confidence interval (17.2%, 21.3%)] higher neurofilament per unit CHA2DS2-VASc increase. This association persisted after adjustment for age and MRI characteristics. In multivariable analyses, clinical parameters associated with neurofilament light were higher age [32.5% (27.2%, 38%) neurofilament increase per 10 years], diabetes mellitus, heart failure and peripheral artery disease [26.8% (16.8%, 37.6%), 15.7% (8.1%, 23.9%) and 19.5% (6.8%, 33.7%) higher neurofilament, respectively]. Mean arterial pressure showed a curvilinear association with neurofilament, with evidence for both an inverse linear and a U-shaped association. MRI characteristics associated with neurofilament were white matter lesion volume and volume of large non-cortical or cortical infarcts [4.3% (1.8%, 6.8%) and 5.5% (2.5%, 8.7%) neurofilament increase per unit increase in log-volume of the respective lesion], as well as normalized brain volume [4.9% (1.7%, 8.1%) higher neurofilament per 100 cm3 smaller brain volume]. Neurofilament light was inversely associated with all cognitive measures in univariable analyses. The effect sizes diminished after adjusting for clinical and MRI variables, but the association with the first principal component was still evident. Our results suggest that in atrial fibrillation patients, neuronal loss measured by serum neurofilament light is associated with age, diabetes mellitus, heart failure, blood pressure and vascular brain lesions, and inversely correlates with normalized brain volume and cognitive function.
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Affiliation(s)
- Alexandros A Polymeris
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Michael Coslovksy
- Clinical Trial Unit, Department of Clinical Research, University Hospital Basel and University of Basel, Switzerland.,Cardiovascular Research Institute Basel (CRIB), Basel, Switzerland
| | - Stefanie Aeschbacher
- Cardiovascular Research Institute Basel (CRIB), Basel, Switzerland.,Cardiology Division, Department of Medicine, University Hospital Basel, Basel, Switzerland
| | - Tim Sinnecker
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland.,Medical Image Analysis Center (MIAC) AG and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Pascal Benkert
- Clinical Trial Unit, Department of Clinical Research, University Hospital Basel and University of Basel, Switzerland
| | - Richard Kobza
- Department of Cardiology, Cantonal Hospital Lucerne, Lucerne, Switzerland
| | - Jürg Beer
- Department of Medicine, Cantonal Hospital Baden, Baden, Switzerland.,Molecular Cardiology, University Hospital Zurich, Zurich, Switzerland
| | - Nicolas Rodondi
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.,Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Urs Fischer
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Giorgio Moschovitis
- Cardiology Division, Department of Medicine, EOC Ospedale Regionale di Lugano, Lugano, Switzerland
| | - Andreas U Monsch
- Memory Clinic, University Department of Geriatric Medicine Felix Platter and University of Basel, Basel, Switzerland
| | - Anne Springer
- Cardiovascular Research Institute Basel (CRIB), Basel, Switzerland.,Cardiology Division, Department of Medicine, University Hospital Basel, Basel, Switzerland
| | - Matthias Schwenkglenks
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.,Institute of Pharmaceutical Medicine (ECPM), University of Basel, Basel, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center (MIAC) AG and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Gian Marco De Marchis
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Philippe A Lyrer
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Michael Kühne
- Cardiovascular Research Institute Basel (CRIB), Basel, Switzerland.,Cardiology Division, Department of Medicine, University Hospital Basel, Basel, Switzerland
| | - Stefan Osswald
- Cardiovascular Research Institute Basel (CRIB), Basel, Switzerland.,Cardiology Division, Department of Medicine, University Hospital Basel, Basel, Switzerland
| | - David Conen
- Cardiology Division, Department of Medicine, University Hospital Basel, Basel, Switzerland.,Population Health Research Institute, McMaster University, Hamilton, Canada
| | - Jens Kuhle
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Leo H Bonati
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
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Aeschbacher S, Blum S, Meyre PB, Coslovsky M, Vischer AS, Sinnecker T, Rodondi N, Beer JH, Moschovitis G, Moutzouri E, Hunkeler C, Burkard T, Eken C, Roten L, Zuern CS, Sticherling C, Wuerfel J, Bonati LH, Conen D, Osswald S, Kühne M. Blood Pressure and Brain Lesions in Patients With Atrial Fibrillation. Hypertension 2020; 77:662-671. [PMID: 33356398 PMCID: PMC7803457 DOI: 10.1161/hypertensionaha.120.16025] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Supplemental Digital Content is available in the text. The association of blood pressure (BP) and hypertension with the presence of different types of brain lesions in patients with atrial fibrillation is unclear. BP values were obtained in a multicenter cohort of patients with atrial fibrillation. Systolic and diastolic BP was categorized in predefined groups. All patients underwent brain magnetic resonance imaging and neurocognitive testing. Brain lesions were classified as large noncortical or cortical infarcts, small noncortical infarcts, microbleeds, or white matter lesions. White matter lesions were graded according to the Fazekas scale. Overall, 1738 patients with atrial fibrillation were enrolled in this cross-sectional analysis (mean age, 73 years, 73% males). Mean BP was 135/79 mm Hg, and 67% of participants were taking BP-lowering treatment. White matter lesions Fazekas ≥2 were found in 54%, large noncortical or cortical infarcts in 22%, small noncortical infarcts in 21%, and microbleeds in 22% of patients, respectively. Compared with patients with systolic BP <120 mm Hg, the adjusted odds ratios (95% CI) for Fazekas≥2 was 1.25 (0.94–1.66), 1.41 (1.03–1.93), and 2.54 (1.65–3.95) among patients with systolic BP of 120 to 140, 140 to 160, and ≥160 mm Hg (P for linear trend<0.001). Per 5 mm Hg increase in systolic and diastolic BP, the adjusted β-coefficient (95% CI) for log-transformed white matter lesions was 0.04 (0.02–0.05), P<0.001 and 0.04 (0.01–0.06), P=0.004. Systolic BP was associated with small noncortical infarcts (odds ratios [95% CI] per 5 mm Hg 1.05 [1.01–1.08], P=0.006), microbleeds were associated with hypertension, but large noncortical or cortical infarcts were not associated with BP or hypertension. After multivariable adjustment, BP and hypertension were not associated with neurocognitive function. Among patients with atrial fibrillation, BP is strongly associated with the presence and extent of white matter lesions, but there is no association with large noncortical or cortical infarcts.
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Affiliation(s)
- Stefanie Aeschbacher
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland
| | - Steffen Blum
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland
| | - Pascal B Meyre
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland
| | - Michael Coslovsky
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Department of Clinical Research (M.C.), University of Basel, Switzerland
| | - Annina S Vischer
- Medical Outpatient Department, ESH Hypertension Centre of Excellence (A.S.V., T.B.), University of Basel, Switzerland
| | - Tim Sinnecker
- Department of Neurology and Stroke Center (T.S., L.H.B.), University of Basel, Switzerland.,University Hospital Basel, and Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering (T.S., J.W.), University of Basel, Switzerland
| | - Nicolas Rodondi
- Institute of Primary Health Care (BIHAM) (N.R., E.M.), Inselspital, Bern University Hospital, University of Bern, Switzerland.,Department of General Internal Medicine (N.R., E.M.), Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Jürg H Beer
- Department of Medicine, Cantonal Hospital of Baden and Molecular Cardiology, University Hospital of Zurich, Switzerland (J.H.B.)
| | | | - Elisavet Moutzouri
- Institute of Primary Health Care (BIHAM) (N.R., E.M.), Inselspital, Bern University Hospital, University of Bern, Switzerland.,Department of General Internal Medicine (N.R., E.M.), Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Christof Hunkeler
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland
| | - Thilo Burkard
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Medical Outpatient Department, ESH Hypertension Centre of Excellence (A.S.V., T.B.), University of Basel, Switzerland
| | - Ceylan Eken
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland
| | - Laurent Roten
- Department of Cardiology, Inselspital, Bern University Hospital and University of Bern, Switzerland (L.R.)
| | - Christine S Zuern
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland
| | - Christian Sticherling
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland
| | - Jens Wuerfel
- University Hospital Basel, and Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering (T.S., J.W.), University of Basel, Switzerland
| | - Leo H Bonati
- Department of Neurology and Stroke Center (T.S., L.H.B.), University of Basel, Switzerland
| | - David Conen
- Population Health Research Institute, McMaster University, Hamilton, Canada (D.C.)
| | - Stefan Osswald
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland
| | - Michael Kühne
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland
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Sinnecker T, Clarke MA, Meier D, Enzinger C, Calabrese M, De Stefano N, Pitiot A, Giorgio A, Schoonheim MM, Paul F, Pawlak MA, Schmidt R, Kappos L, Montalban X, Rovira À, Evangelou N, Wuerfel J. Evaluation of the Central Vein Sign as a Diagnostic Imaging Biomarker in Multiple Sclerosis. JAMA Neurol 2020; 76:1446-1456. [PMID: 31424490 DOI: 10.1001/jamaneurol.2019.2478] [Citation(s) in RCA: 99] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Importance The central vein sign has been proposed as a specific imaging biomarker for distinguishing between multiple sclerosis (MS) and not MS, mainly based on findings from ultrahigh-field magnetic resonance imaging (MRI) studies. The diagnostic value of the central vein sign in a multicenter setting with a variety of clinical 3 tesla (T) MRI protocols, however, remains unknown. Objective To evaluate the sensitivity and specificity of various central vein sign lesion criteria for differentiating MS from non-MS conditions using 3T brain MRI with various commonly used pulse sequences. Design, Setting, and Participants This large multicenter, cross-sectional study enrolled participants (n = 648) of ongoing observational studies and patients included in neuroimaging research databases of 8 neuroimaging centers in Europe. Patient enrollment and MRI data collection were performed between January 1, 2010, and November 30, 2016. Data analysis was conducted between January 1, 2016, and April 30, 2018. Investigators were blinded to participant diagnosis by a novel blinding procedure. Main Outcomes and Measures Occurrence of central vein sign was detected on 3T T2*-weighted or susceptibility-weighted imaging. Sensitivity and specificity were assessed for these MRI sequences and for different central vein sign lesion criteria, which were defined by the proportion of lesions with central vein sign or by absolute numbers of lesions with central vein sign. Results A total of 606 participants were included in the study after exclusion of 42 participants. Among the 606 participants, 413 (68.2%) were women. Patients with clinically isolated syndrome and relapsing-remitting MS (RRMS) included 235 women (66.6%) and had a median (range) age of 37 (14.7-61.4) years, a median (range) disease duration of 2 (0-33) years, and a median (range) Expanded Disability Status Scale score of 1.5 (0-6.5). Patients without MS included 178 women (70.4%) and had a median (range) age of 54 (18-83) years. A total of 4447 lesions were analyzed in a total of 487 patients: 690 lesions in 98 participants with clinically isolated syndrome, 2815 lesions in 225 participants with RRMS, 54 lesions in 13 participants with neuromyelitis optica spectrum disorder, 54 lesions in 14 participants with systemic lupus erythematosus, 121 lesions in 29 participants with migraine or cluster headache, 240 lesions in 20 participants with diabetes, and 473 lesions in 88 participants with other types of small-vessel disease. The sensitivity was 68.1% and specificity was 82.9% for distinguishing MS from not MS using a 35% central vein sign proportion threshold. The 3 central vein sign lesion criteria had a sensitivity of 61.9% and specificity of 89.0%. Sensitivity was higher when an optimized T2*-weighted sequence was used. Conclusions and Relevance In this study, use of the central vein sign at 3T MRI yielded a high specificity and a moderate sensitivity in differentiating MS from not MS; international, multicenter studies may be needed to ascertain whether the central vein sign-based criteria can accurately detect MS.
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Affiliation(s)
- Tim Sinnecker
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital, University of Basel, Basel, Switzerland.,Medical Image Analysis Center, Basel, Switzerland.,Neurocure Clinical Research Center, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,qbig, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Margareta A Clarke
- School of Psychology, University of Nottingham, Nottingham, United Kingdom.,Clinical Neurology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom
| | - Dominik Meier
- Medical Image Analysis Center, Basel, Switzerland.,qbig, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Christian Enzinger
- Division of Neuroradiology, Vascular and Interventional Radiology, Departments of Neurology and Radiology, Medical University of Graz, Graz, Austria
| | - Massimiliano Calabrese
- Neurology Unit, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Alain Pitiot
- Laboratory of Image and Data Analysis, Ilixa Ltd, London, United Kingdom
| | - Antonio Giorgio
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Menno M Schoonheim
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - 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.,Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health and Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Mikolaj A Pawlak
- Department of Neurology and Cerebrovascular Disorders, Poznan University of Medical Sciences, Poznan, Poland
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital, University of Basel, Basel, Switzerland
| | - Xavier Montalban
- Section of Neuroradiology, Department of Radiology (IDI), VHIR, Barcelona, Spain.,Division of Neurology, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Àlex Rovira
- Section of Neuroradiology, Department of Radiology (IDI), VHIR, Barcelona, Spain
| | - Nikos Evangelou
- Division of Clinical Neuroscience, University of Nottingham, Nottingham, United Kingdom
| | - Jens Wuerfel
- Medical Image Analysis Center, Basel, Switzerland.,Neurocure Clinical Research Center, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,qbig, Department of Biomedical Engineering, University of Basel, Basel, Switzerland.,Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health and Max Delbrück Center for Molecular Medicine, Berlin, Germany
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Millward JM, Ramos Delgado P, Smorodchenko A, Boehmert L, Periquito J, Reimann HM, Prinz C, Els A, Scheel M, Bellmann-Strobl J, Waiczies H, Wuerfel J, Infante-Duarte C, Chien C, Kuchling J, Pohlmann A, Zipp F, Paul F, Niendorf T, Waiczies S. Transient enlargement of brain ventricles during relapsing-remitting multiple sclerosis and experimental autoimmune encephalomyelitis. JCI Insight 2020; 5:140040. [PMID: 33148886 PMCID: PMC7710287 DOI: 10.1172/jci.insight.140040] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 09/24/2020] [Indexed: 12/18/2022] Open
Abstract
The brain ventricles are part of the fluid compartments bridging the CNS with the periphery. Using MRI, we previously observed a pronounced increase in ventricle volume (VV) in the experimental autoimmune encephalomyelitis (EAE) model of multiple sclerosis (MS). Here, we examined VV changes in EAE and MS patients in longitudinal studies with frequent serial MRI scans. EAE mice underwent serial MRI for up to 2 months, with gadolinium contrast as a proxy of inflammation, confirmed by histopathology. We performed a time-series analysis of clinical and MRI data from a prior clinical trial in which RRMS patients underwent monthly MRI scans over 1 year. VV increased dramatically during preonset EAE, resolving upon clinical remission. VV changes coincided with blood-brain barrier disruption and inflammation. VV was normal at the termination of the experiment, when mice were still symptomatic. The majority of relapsing-remitting MS (RRMS) patients showed dynamic VV fluctuations. Patients with contracting VV had lower disease severity and a shorter duration. These changes demonstrate that VV does not necessarily expand irreversibly in MS but, over short time scales, can expand and contract. Frequent monitoring of VV in patients will be essential to disentangle the disease-related processes driving short-term VV oscillations from persistent expansion resulting from atrophy. Brain ventricle volumes expand and contract during experimental autoimmune encephalomyelitis and relapsing-remitting multiple sclerosis, suggesting that short-term inflammatory processes are interlaced with gradual brain atrophy.
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Affiliation(s)
- Jason M Millward
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.,Institute for Medical Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Paula Ramos Delgado
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Alina Smorodchenko
- Medical School Hamburg, University of Applied Sciences and Medical University, Hamburg, Germany
| | - Laura Boehmert
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Joao Periquito
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Henning M Reimann
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Christian Prinz
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Antje Els
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Michael Scheel
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Judith Bellmann-Strobl
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Experimental and Clinical Research Center, a joint venture of the Max Delbrück Center for Molecular Medicine and the Charité - Universitätsmedizin Berlin, Berlin, Germany
| | | | - Jens Wuerfel
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Carmen Infante-Duarte
- Institute for Medical Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Claudia Chien
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Joseph Kuchling
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Andreas Pohlmann
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Frauke Zipp
- Department of Neurology, University Medical Center of the Johannes Gutenberg, University of Mainz, Mainz, Germany
| | - Friedemann Paul
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Experimental and Clinical Research Center, a joint venture of the Max Delbrück Center for Molecular Medicine and the Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Thoralf Niendorf
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.,Experimental and Clinical Research Center, a joint venture of the Max Delbrück Center for Molecular Medicine and the Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Sonia Waiczies
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
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Asseyer S, Kuchling J, Gaetano L, Komnenić D, Siebert N, Chien C, Scheel M, Oertel FC, Ruprecht K, Bellmann-Strobl J, Finke C, Chakravarty MM, Magon S, Wuerfel J, Paul F, Papadopoulou A, Brandt AU. Ventral posterior nucleus volume is associated with neuropathic pain intensity in neuromyelitis optica spectrum disorders. Mult Scler Relat Disord 2020; 46:102579. [DOI: 10.1016/j.msard.2020.102579] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 09/27/2020] [Accepted: 10/12/2020] [Indexed: 12/14/2022]
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Hilbert A, Madai VI, Akay EM, Aydin OU, Behland J, Sobesky J, Galinovic I, Khalil AA, Taha AA, Wuerfel J, Dusek P, Niendorf T, Fiebach JB, Frey D, Livne M. BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease. Front Artif Intell 2020; 3:552258. [PMID: 33733207 PMCID: PMC7861225 DOI: 10.3389/frai.2020.552258] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 08/25/2020] [Indexed: 12/02/2022] Open
Abstract
Introduction: Arterial brain vessel assessment is crucial for the diagnostic process in patients with cerebrovascular disease. Non-invasive neuroimaging techniques, such as time-of-flight (TOF) magnetic resonance angiography (MRA) imaging are applied in the clinical routine to depict arteries. They are, however, only visually assessed. Fully automated vessel segmentation integrated into the clinical routine could facilitate the time-critical diagnosis of vessel abnormalities and might facilitate the identification of valuable biomarkers for cerebrovascular events. In the present work, we developed and validated a new deep learning model for vessel segmentation, coined BRAVE-NET, on a large aggregated dataset of patients with cerebrovascular diseases. Methods: BRAVE-NET is a multiscale 3-D convolutional neural network (CNN) model developed on a dataset of 264 patients from three different studies enrolling patients with cerebrovascular diseases. A context path, dually capturing high- and low-resolution volumes, and deep supervision were implemented. The BRAVE-NET model was compared to a baseline Unet model and variants with only context paths and deep supervision, respectively. The models were developed and validated using high-quality manual labels as ground truth. Next to precision and recall, the performance was assessed quantitatively by Dice coefficient (DSC); average Hausdorff distance (AVD); 95-percentile Hausdorff distance (95HD); and via visual qualitative rating. Results: The BRAVE-NET performance surpassed the other models for arterial brain vessel segmentation with a DSC = 0.931, AVD = 0.165, and 95HD = 29.153. The BRAVE-NET model was also the most resistant toward false labelings as revealed by the visual analysis. The performance improvement is primarily attributed to the integration of the multiscaling context path into the 3-D Unet and to a lesser extent to the deep supervision architectural component. Discussion: We present a new state-of-the-art of arterial brain vessel segmentation tailored to cerebrovascular pathology. We provide an extensive experimental validation of the model using a large aggregated dataset encompassing a large variability of cerebrovascular disease and an external set of healthy volunteers. The framework provides the technological foundation for improving the clinical workflow and can serve as a biomarker extraction tool in cerebrovascular diseases.
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Affiliation(s)
- Adam Hilbert
- CLAIM - Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Vince I. Madai
- CLAIM - Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany
- Faculty of Computing, Engineering and the Built Environment, School of Computing and Digital Technology, Birmingham City University, Birmingham, United Kingdom
| | - Ela M. Akay
- CLAIM - Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Orhun U. Aydin
- CLAIM - Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Jonas Behland
- CLAIM - Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Jan Sobesky
- Centre for Stroke Research Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany
- Johanna-Etienne-Hospital, Neuss, Germany
| | - Ivana Galinovic
- Centre for Stroke Research Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Ahmed A. Khalil
- Centre for Stroke Research Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Berlin School of Mind and Brain, Mind, Brain, Body Institute, Humboldt-Universität Berlin, Berlin, Germany
- Biomedical Innovation Academy, Berlin Institute of Health, Berlin, Germany
| | - Abdel A. Taha
- Research Studio Data Science, Research Studios Austria, Salzburg, Austria
| | - Jens Wuerfel
- Department Biomedical Engineering, Medical Image Analysis Center AG, University of Basel, Basel, Switzerland
| | - Petr Dusek
- Department of Neurology, 1st Faculty of Medicine, Centre of Clinical Neuroscience, General University Hospital in Prague, Charles University, Prague, Czechia
| | - Thoralf Niendorf
- Berlin Ultrahigh Field Facility, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Jochen B. Fiebach
- Centre for Stroke Research Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Dietmar Frey
- CLAIM - Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Michelle Livne
- CLAIM - Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany
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Reinert MC, Benkert P, Wuerfel J, Michalak Z, Ruberte E, Barro C, Huppke P, Stark W, Kropshofer H, Tomic D, Leppert D, Kuhle J, Brück W, Gärtner J. Serum neurofilament light chain is a useful biomarker in pediatric multiple sclerosis. Neurol Neuroimmunol Neuroinflamm 2020; 7:7/4/e749. [PMID: 32404429 PMCID: PMC7238898 DOI: 10.1212/nxi.0000000000000749] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Accepted: 04/09/2020] [Indexed: 12/13/2022]
Abstract
Objective To investigate serum neurofilament light chain (sNfL) as a potential biomarker for disease activity and treatment response in pediatric patients with multiple sclerosis (MS). Methods In this retrospective cohort study, sNfL levels were measured in a pediatric MS cohort (n = 55, follow-up 12–105 months) and in a non-neurologic pediatric control cohort (n = 301) using a high-sensitivity single-molecule array assay. Association of sNfL levels and treatment and clinical and MRI parameters were calculated. Results Untreated patients had higher sNfL levels than controls (median 19.0 vs 4.6 pg/mL; CI [4.732, 6.911]), p < 0.001). sNfL levels were significantly associated with MRI activity (+9.1% per contrast-enhancing lesion, CI [1.045, 1.138], p < 0.001; +0.6% per T2-weighted lesion, CI [1.001, 1.010], p = 0.015). Higher values were associated with a relapse <90 days ago (+51.1%; CI [1.184, 1.929], p < 0.001) and a higher Expanded Disability Status Scale score (CI [1.001, 1.240], p = 0.048). In patients treated with interferon beta-1a/b (n = 27), sNfL levels declined from 14.7 to 7.9 pg/mL after 6 ± 2 months (CI [0.339, 0.603], p < 0.001). Patients with insufficient control of clinical or MRI disease activity under treatment with interferon beta-1a/b or glatiramer acetate who switched to fingolimod (n = 18) showed a reduction of sNfL levels from 16.5 to 10.0 pg/mL 6 ± 2 months after switch (CI [0.481, 0.701], p < 0.001). Conclusions sNfL is a useful biomarker for monitoring disease activity and treatment response in pediatric MS. It is most likely helpful to predict disease severity and to guide treatment decisions in patients with pediatric MS. This study provides Class III evidence that sNfL levels are associated with disease activity in pediatric MS.
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Affiliation(s)
- Marie-Christine Reinert
- From the Department of Pediatrics and Adolescent Medicine (M.-C.R., P.H., W.S., J.G.), Division of Pediatric Neurology, University Medical Centre Göttingen, Georg August University Göttingen, Germany; Clinical Trial Unit (P.B.), Department of Clinical Research, University Hospital Basel, University of Basel; Medical Image Analysis Centre Basel (MIAC AG) (J.W., E.R.); Department of Biomedical Engineering (J.W.), University Basel; Neurologic Clinic and Policlinic (Z.M., C.B., D.L., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel; Novartis Pharma AG (H.K., D.T.), Basel, Switzerland; and Institute of Neuropathology (W.B.), University Medical Centre Göttingen, Georg August University Göttingen, Germany.
| | - Pascal Benkert
- From the Department of Pediatrics and Adolescent Medicine (M.-C.R., P.H., W.S., J.G.), Division of Pediatric Neurology, University Medical Centre Göttingen, Georg August University Göttingen, Germany; Clinical Trial Unit (P.B.), Department of Clinical Research, University Hospital Basel, University of Basel; Medical Image Analysis Centre Basel (MIAC AG) (J.W., E.R.); Department of Biomedical Engineering (J.W.), University Basel; Neurologic Clinic and Policlinic (Z.M., C.B., D.L., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel; Novartis Pharma AG (H.K., D.T.), Basel, Switzerland; and Institute of Neuropathology (W.B.), University Medical Centre Göttingen, Georg August University Göttingen, Germany
| | - Jens Wuerfel
- From the Department of Pediatrics and Adolescent Medicine (M.-C.R., P.H., W.S., J.G.), Division of Pediatric Neurology, University Medical Centre Göttingen, Georg August University Göttingen, Germany; Clinical Trial Unit (P.B.), Department of Clinical Research, University Hospital Basel, University of Basel; Medical Image Analysis Centre Basel (MIAC AG) (J.W., E.R.); Department of Biomedical Engineering (J.W.), University Basel; Neurologic Clinic and Policlinic (Z.M., C.B., D.L., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel; Novartis Pharma AG (H.K., D.T.), Basel, Switzerland; and Institute of Neuropathology (W.B.), University Medical Centre Göttingen, Georg August University Göttingen, Germany
| | - Zuzanna Michalak
- From the Department of Pediatrics and Adolescent Medicine (M.-C.R., P.H., W.S., J.G.), Division of Pediatric Neurology, University Medical Centre Göttingen, Georg August University Göttingen, Germany; Clinical Trial Unit (P.B.), Department of Clinical Research, University Hospital Basel, University of Basel; Medical Image Analysis Centre Basel (MIAC AG) (J.W., E.R.); Department of Biomedical Engineering (J.W.), University Basel; Neurologic Clinic and Policlinic (Z.M., C.B., D.L., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel; Novartis Pharma AG (H.K., D.T.), Basel, Switzerland; and Institute of Neuropathology (W.B.), University Medical Centre Göttingen, Georg August University Göttingen, Germany
| | - Esther Ruberte
- From the Department of Pediatrics and Adolescent Medicine (M.-C.R., P.H., W.S., J.G.), Division of Pediatric Neurology, University Medical Centre Göttingen, Georg August University Göttingen, Germany; Clinical Trial Unit (P.B.), Department of Clinical Research, University Hospital Basel, University of Basel; Medical Image Analysis Centre Basel (MIAC AG) (J.W., E.R.); Department of Biomedical Engineering (J.W.), University Basel; Neurologic Clinic and Policlinic (Z.M., C.B., D.L., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel; Novartis Pharma AG (H.K., D.T.), Basel, Switzerland; and Institute of Neuropathology (W.B.), University Medical Centre Göttingen, Georg August University Göttingen, Germany
| | - Christian Barro
- From the Department of Pediatrics and Adolescent Medicine (M.-C.R., P.H., W.S., J.G.), Division of Pediatric Neurology, University Medical Centre Göttingen, Georg August University Göttingen, Germany; Clinical Trial Unit (P.B.), Department of Clinical Research, University Hospital Basel, University of Basel; Medical Image Analysis Centre Basel (MIAC AG) (J.W., E.R.); Department of Biomedical Engineering (J.W.), University Basel; Neurologic Clinic and Policlinic (Z.M., C.B., D.L., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel; Novartis Pharma AG (H.K., D.T.), Basel, Switzerland; and Institute of Neuropathology (W.B.), University Medical Centre Göttingen, Georg August University Göttingen, Germany
| | - Peter Huppke
- From the Department of Pediatrics and Adolescent Medicine (M.-C.R., P.H., W.S., J.G.), Division of Pediatric Neurology, University Medical Centre Göttingen, Georg August University Göttingen, Germany; Clinical Trial Unit (P.B.), Department of Clinical Research, University Hospital Basel, University of Basel; Medical Image Analysis Centre Basel (MIAC AG) (J.W., E.R.); Department of Biomedical Engineering (J.W.), University Basel; Neurologic Clinic and Policlinic (Z.M., C.B., D.L., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel; Novartis Pharma AG (H.K., D.T.), Basel, Switzerland; and Institute of Neuropathology (W.B.), University Medical Centre Göttingen, Georg August University Göttingen, Germany
| | - Wiebke Stark
- From the Department of Pediatrics and Adolescent Medicine (M.-C.R., P.H., W.S., J.G.), Division of Pediatric Neurology, University Medical Centre Göttingen, Georg August University Göttingen, Germany; Clinical Trial Unit (P.B.), Department of Clinical Research, University Hospital Basel, University of Basel; Medical Image Analysis Centre Basel (MIAC AG) (J.W., E.R.); Department of Biomedical Engineering (J.W.), University Basel; Neurologic Clinic and Policlinic (Z.M., C.B., D.L., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel; Novartis Pharma AG (H.K., D.T.), Basel, Switzerland; and Institute of Neuropathology (W.B.), University Medical Centre Göttingen, Georg August University Göttingen, Germany
| | - Harald Kropshofer
- From the Department of Pediatrics and Adolescent Medicine (M.-C.R., P.H., W.S., J.G.), Division of Pediatric Neurology, University Medical Centre Göttingen, Georg August University Göttingen, Germany; Clinical Trial Unit (P.B.), Department of Clinical Research, University Hospital Basel, University of Basel; Medical Image Analysis Centre Basel (MIAC AG) (J.W., E.R.); Department of Biomedical Engineering (J.W.), University Basel; Neurologic Clinic and Policlinic (Z.M., C.B., D.L., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel; Novartis Pharma AG (H.K., D.T.), Basel, Switzerland; and Institute of Neuropathology (W.B.), University Medical Centre Göttingen, Georg August University Göttingen, Germany
| | - Davorka Tomic
- From the Department of Pediatrics and Adolescent Medicine (M.-C.R., P.H., W.S., J.G.), Division of Pediatric Neurology, University Medical Centre Göttingen, Georg August University Göttingen, Germany; Clinical Trial Unit (P.B.), Department of Clinical Research, University Hospital Basel, University of Basel; Medical Image Analysis Centre Basel (MIAC AG) (J.W., E.R.); Department of Biomedical Engineering (J.W.), University Basel; Neurologic Clinic and Policlinic (Z.M., C.B., D.L., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel; Novartis Pharma AG (H.K., D.T.), Basel, Switzerland; and Institute of Neuropathology (W.B.), University Medical Centre Göttingen, Georg August University Göttingen, Germany
| | - David Leppert
- From the Department of Pediatrics and Adolescent Medicine (M.-C.R., P.H., W.S., J.G.), Division of Pediatric Neurology, University Medical Centre Göttingen, Georg August University Göttingen, Germany; Clinical Trial Unit (P.B.), Department of Clinical Research, University Hospital Basel, University of Basel; Medical Image Analysis Centre Basel (MIAC AG) (J.W., E.R.); Department of Biomedical Engineering (J.W.), University Basel; Neurologic Clinic and Policlinic (Z.M., C.B., D.L., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel; Novartis Pharma AG (H.K., D.T.), Basel, Switzerland; and Institute of Neuropathology (W.B.), University Medical Centre Göttingen, Georg August University Göttingen, Germany
| | - Jens Kuhle
- From the Department of Pediatrics and Adolescent Medicine (M.-C.R., P.H., W.S., J.G.), Division of Pediatric Neurology, University Medical Centre Göttingen, Georg August University Göttingen, Germany; Clinical Trial Unit (P.B.), Department of Clinical Research, University Hospital Basel, University of Basel; Medical Image Analysis Centre Basel (MIAC AG) (J.W., E.R.); Department of Biomedical Engineering (J.W.), University Basel; Neurologic Clinic and Policlinic (Z.M., C.B., D.L., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel; Novartis Pharma AG (H.K., D.T.), Basel, Switzerland; and Institute of Neuropathology (W.B.), University Medical Centre Göttingen, Georg August University Göttingen, Germany
| | - Wolfgang Brück
- From the Department of Pediatrics and Adolescent Medicine (M.-C.R., P.H., W.S., J.G.), Division of Pediatric Neurology, University Medical Centre Göttingen, Georg August University Göttingen, Germany; Clinical Trial Unit (P.B.), Department of Clinical Research, University Hospital Basel, University of Basel; Medical Image Analysis Centre Basel (MIAC AG) (J.W., E.R.); Department of Biomedical Engineering (J.W.), University Basel; Neurologic Clinic and Policlinic (Z.M., C.B., D.L., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel; Novartis Pharma AG (H.K., D.T.), Basel, Switzerland; and Institute of Neuropathology (W.B.), University Medical Centre Göttingen, Georg August University Göttingen, Germany
| | - Jutta Gärtner
- From the Department of Pediatrics and Adolescent Medicine (M.-C.R., P.H., W.S., J.G.), Division of Pediatric Neurology, University Medical Centre Göttingen, Georg August University Göttingen, Germany; Clinical Trial Unit (P.B.), Department of Clinical Research, University Hospital Basel, University of Basel; Medical Image Analysis Centre Basel (MIAC AG) (J.W., E.R.); Department of Biomedical Engineering (J.W.), University Basel; Neurologic Clinic and Policlinic (Z.M., C.B., D.L., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel; Novartis Pharma AG (H.K., D.T.), Basel, Switzerland; and Institute of Neuropathology (W.B.), University Medical Centre Göttingen, Georg August University Göttingen, Germany
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Blindenbacher N, Brunner E, Asseyer S, Scheel M, Siebert N, Rasche L, Bellmann-Strobl J, Brandt A, Ruprecht K, Meier D, Wuerfel J, Paul F, Sinnecker T. Evaluation of the 'ring sign' and the 'core sign' as a magnetic resonance imaging marker of disease activity and progression in clinically isolated syndrome and early multiple sclerosis. Mult Scler J Exp Transl Clin 2020; 6:2055217320915480. [PMID: 32284875 PMCID: PMC7132556 DOI: 10.1177/2055217320915480] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Accepted: 02/21/2020] [Indexed: 01/02/2023] Open
Abstract
Background Brain lesions with a hypointense ring or core were described in
multiple sclerosis on susceptibility weighted imaging. Objective The purpose of this study was to study the evolution and prognostic
relevance of susceptibility weighted imaging hypointense lesions
in clinically isolated syndrome and early multiple
sclerosis. Methods Sixty-six early multiple sclerosis and clinically isolated syndrome
patients were followed over a median period of 2.9 years (range
1.6–4.6 years) and underwent 3T magnetic resonance imaging
including 3D susceptibility weighted imaging and T2-weighted
fluid-attenuated inversion recovery. We assessed the presence of
susceptibility weighted imaging hypointense core or ring
lesions, and Expanded Disability Status Scale at baseline and
follow-up. Results Of 611 lesions at baseline, 64 (10.5%) had a susceptibility
weighted imaging hypointense core, and 28 (4.6%) had a
susceptibility weighted imaging hypointense ring. Hypointense
ring lesions were larger (p < 0.001) and
more T1w hypointense (p = 0.002) than others.
During follow-up, hypointense core lesions became susceptibility
weighted imaging isointense (52 lesions, 81%); few developed
into hypointense ring lesions (two lesions, 3%). Hypointense
ring lesions did not shrink on T2-weighted fluid-attenuated
inversion recovery images (p = 0.077, trend
towards more enlargement compared to others), while hypointense
core lesions more often shrunk in comparison to lesions without
a hypointense core (p = 0.002). The number of
susceptibility weighted imaging hypointense ring lesions at
baseline correlated with Expanded Disability Status Scale
progression at follow-up (p = 0.021,
R = 0.289). Conclusion In our cohort of patients with clinically isolated syndrome or
early multiple sclerosis, susceptibility weighted imaging
hypointense ring lesions were only rarely detectable, but did
not shrink and were associated with future disability
progression.
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Affiliation(s)
- Nelly Blindenbacher
- qbig, Department of Biomedical Engineering, University of Basel, Switzerland
| | - Eveline Brunner
- qbig, Department of Biomedical Engineering, University of Basel, Switzerland
| | - Susanna Asseyer
- Neurocure Clinical Research Center, Charité-Universitätsmedizin Berlin, Germany
| | - Michael Scheel
- Neurocure Clinical Research Center, Charité-Universitätsmedizin Berlin, Germany
| | - Nadja Siebert
- Neurocure Clinical Research Center, Charité-Universitätsmedizin Berlin, Germany
| | - Ludwig Rasche
- Neurocure Clinical Research Center, Charité-Universitätsmedizin Berlin, Germany
| | | | - Alexander Brandt
- Neurocure Clinical Research Center, Charité-Universitätsmedizin Berlin, Germany
| | - Klemens Ruprecht
- Department of Neurology, Charité-Universitätsmedizin Berlin, Germany
| | - Dominik Meier
- qbig, Department of Biomedical Engineering, University of Basel, Switzerland
| | - Jens Wuerfel
- qbig, Department of Biomedical Engineering, University of Basel, Switzerland
| | - Friedemann Paul
- Neurocure Clinical Research Center, Charité-Universitätsmedizin Berlin, Germany.,Experimental and Clinical Research Center, Charité - Universitätsmedizin Berlin, and Berlin Institute of Health and Max Delbrück Center for Molecular Medicine, Germany.,Department of Neurology, Charité-Universitätsmedizin Berlin, Germany
| | - Tim Sinnecker
- qbig, Department of Biomedical Engineering, University of Basel, Switzerland.,Neurocure Clinical Research Center, Charité-Universitätsmedizin Berlin, Germany.,Medical Image Analysis Center AG, Switzerland.,Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland
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Derfuss T, Sastre-Garriga J, Montalban X, Rodegher M, Wuerfel J, Gaetano L, Tomic D, Azmon A, Wolf C, Kappos L. The ACROSS study: Long-term efficacy of fingolimod in patients with relapsing-remitting multiple sclerosis. Mult Scler J Exp Transl Clin 2020; 6:2055217320907951. [PMID: 32284874 PMCID: PMC7132565 DOI: 10.1177/2055217320907951] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 12/18/2019] [Accepted: 12/23/2019] [Indexed: 01/10/2023] Open
Abstract
Background In chronic diseases such as multiple sclerosis requiring lifelong treatment,
studies on long-term outcomes are important. Objective To assess disability and magnetic resonance imaging-related outcomes in
relapsing multiple sclerosis patients from a Phase 2 study of fingolimod 10
or more years after randomization and to compare outcomes in patients who
had a higher fingolimod exposure versus those with a lower fingolimod
exposure. Methods ACROSS was a cross-sectional follow-up study of patients originally enrolled
in a Phase 2 fingolimod proof-of-concept study (NCT00333138). Disability and
magnetic resonance imaging-related outcomes were assessed in patients
grouped according to fingolimod treatment duration, based on an arbitrary
cut-off: ≥8 years (high exposure) and <8 years (low exposure). Results Overall, 175/281 (62%) patients participated in ACROSS; 104 (59%) of these
were classified “high exposure.” At 10 years, patients in the high-exposure
group had smaller increases in Expanded Disability Status Scale (+0.55 vs.
+1.21), and lower frequencies of disability progression (34.7% vs. 56.1%),
wheelchair use (4.8% vs. 16.9%), or transition to secondary progressive
multiple sclerosis (9.6% vs. 22.5%) than those in the low-exposure group.
The high-exposure patients also had less progression in most magnetic
resonance imaging-related outcomes. Conclusion After 10 years of fingolimod treatment, disability progression was lower in
the high-exposure group than in the low-exposure group.
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Affiliation(s)
- T Derfuss
- Neurologic Clinic and Policlinic, University Hospital and University of Basel, Switzerland
| | - J Sastre-Garriga
- Multiple Sclerosis Centre of Catalonia (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - X Montalban
- Multiple Sclerosis Centre of Catalonia (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Division of Neurology, St Michael's Hospital, University of Toronto, Toronto, Canada
| | - M Rodegher
- MS Centre, IRCCS Santa Maria Nascente, Fondazione Don Carlo Gnocchi, via Capecelatro, Milan
| | | | - L Gaetano
- Medical Image Analysis Center Basel and Department of Biomedical Engineering, University Hospital, Switzerland
| | | | - A Azmon
- Novartis Pharma AG, Basel, Switzerland
| | | | - L Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital and University of Basel, Basel, Switzerland
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Chawla S, Ge Y, Wuerfel J, Asadollahi S, Mohan S, Paul F, Sinnecker T, Kister I. Longitudinal ultra-high field MRI of brain lesions in neuromyelitis optica spectrum disorders. Mult Scler Relat Disord 2020; 42:102066. [PMID: 32272444 DOI: 10.1016/j.msard.2020.102066] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 02/19/2020] [Accepted: 03/20/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND In neuromyelitis optica spectrum disorder (NMOSD), clinical disability in NMOSD patients is relapse-related and progressive phase is rare. This observation raises the question whether there is any radiographic disease activity. The aim of present study was to determine the longitudinal changes in cerebral lesion number, lesion size, lesion-to-venule relationship, and morphological patterns of lesions in NMOSD using multiparametric 7T MR imaging. We also aimed to assess brain volume changes in NMOSD. METHODS A cohort of 22 patients with NMOSD underwent high-resolution 3D-susceptibility weighted imaging (SWI) and 2D-gradient-echo (GRE-T2*) weighted imaging on 7T MRI of brain at baseline and after ~2.8 years of follow-up. Morphologic imaging characteristics, and signal intensity patterns of lesions were recorded at both time points. Lesions were classified as "iron-laden" if they demonstrated hypointense signal on GRE-T2* images and/or SWI as well as hyperintense signal on quantitative susceptibility mapping (QSM). Lesions were considered "non-iron-laden" if they were hyperintense on GRE-T2*/SWI and isointense or hyperintense on QSM. Additionally, fractional brain parenchymal volume (fBPV) was computed at both time points. RESULTS A total of 169 lesions were observed at baseline. At follow-up, 6 new lesions were found in 5 patients. In one patient, a single lesion could not be detected on the follow-up scan. No appreciable change in lesion size and vessel-lesion relationship was observed at follow up. All lesions demonstrated hyperintense signal intensity on GRE-T2* weighted images and isointense signal on QSM at both time points. Therefore, these lesions were considered as non-associated with iron pathology. Additionally, no significant change in brain volume was observed: fBPV 0.78 ± 0.06 at baseline vs. 0.77 ± 0.05 at follow up, p>0.05. CONCLUSION Cerebral lesions in NMOSD patients remain 'inert' and do not show any substantial variations in morphological characteristics during a 2-3-year follow-up period.
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Affiliation(s)
- Sanjeev Chawla
- Center for Advanced Imaging Innovation and Research (CAI2R), Bernard and Irene Schwartz Center for Biomedical Imaging, United States; Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States.
| | - Yulin Ge
- Center for Advanced Imaging Innovation and Research (CAI2R), Bernard and Irene Schwartz Center for Biomedical Imaging, United States
| | - Jens Wuerfel
- MIAC AG and Department of Biomedical Engineering, University of Basel, Switzerland; NeuroCure Clinical Research Center and Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Shadi Asadollahi
- Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States
| | - Suyash Mohan
- Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States
| | - Friedemann Paul
- NeuroCure Clinical Research Center and Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Tim Sinnecker
- NeuroCure Clinical Research Center and Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Ilya Kister
- Department of Neurology, New York University School of Medicine, Prague, New York, NY 10016, United States
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Gaetano L, Magnusson B, Kindalova P, Tomic D, Silva D, Altermatt A, Magon S, Müller-Lenke N, Radue EW, Leppert D, Kappos L, Wuerfel J, Häring DA, Sprenger T. White matter lesion location correlates with disability in relapsing multiple sclerosis. Mult Scler J Exp Transl Clin 2020; 6:2055217320906844. [PMID: 32128236 PMCID: PMC7031799 DOI: 10.1177/2055217320906844] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 01/21/2020] [Indexed: 01/10/2023] Open
Abstract
Background Lesion location is a prognostic factor of disease progression and disability accrual. Objective To investigate lesion formation in 11 brain regions, assess correlation between lesion location and physical and cognitive disability measures and investigate treatment effects by region. Methods In 2355 relapsing–remitting multiple sclerosis patients from the FREEDOMS and FREEDOMS II studies, we extracted T2-weighted lesion number, volume and density for each brain region; we investigated the (Spearman) correlation in lesion formation between brain regions, studied association between location and disability (at baseline and change over 2 years) using linear/logistic regression and assessed the regional effects of fingolimod versus placebo in negative binomial models. Results At baseline, the majority of lesions were found in the supratentorial brain. New and enlarging lesions over 24 months developed mainly in the frontal and sublobar regions and were substantially correlated to pre-existing lesions at baseline in the supratentorial brain (p = 0.37–0.52), less so infratentorially (p = −0.04–0.23). High sublobar lesion density was consistently and significantly associated with most disability measures at baseline and worsening of physical disability over 24 months. The treatment effect of fingolimod 0.5 mg was consistent across the investigated areas and tracts. Conclusion These results highlight the role of sublobar lesions for the accrual of disability in relapsing–remitting multiple sclerosis.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital and University of Basel, Switzerland
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Sastre-Garriga J, Pareto D, Battaglini M, Rocca MA, Ciccarelli O, Enzinger C, Wuerfel J, Sormani MP, Barkhof F, Yousry TA, De Stefano N, Tintoré M, Filippi M, Gasperini C, Kappos L, Río J, Frederiksen J, Palace J, Vrenken H, Montalban X, Rovira À. MAGNIMS consensus recommendations on the use of brain and spinal cord atrophy measures in clinical practice. Nat Rev Neurol 2020; 16:171-182. [PMID: 32094485 PMCID: PMC7054210 DOI: 10.1038/s41582-020-0314-x] [Citation(s) in RCA: 130] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/17/2020] [Indexed: 11/08/2022]
Abstract
Early evaluation of treatment response and prediction of disease evolution are key issues in the management of people with multiple sclerosis (MS). In the past 20 years, MRI has become the most useful paraclinical tool in both situations and is used clinically to assess the inflammatory component of the disease, particularly the presence and evolution of focal lesions - the pathological hallmark of MS. However, diffuse neurodegenerative processes that are at least partly independent of inflammatory mechanisms can develop early in people with MS and are closely related to disability. The effects of these neurodegenerative processes at a macroscopic level can be quantified by estimation of brain and spinal cord atrophy with MRI. MRI measurements of atrophy in MS have also been proposed as a complementary approach to lesion assessment to facilitate the prediction of clinical outcomes and to assess treatment responses. In this Consensus statement, the Magnetic Resonance Imaging in MS (MAGNIMS) study group critically review the application of brain and spinal cord atrophy in clinical practice in the management of MS, considering the role of atrophy measures in prognosis and treatment monitoring and the barriers to clinical use of these measures. On the basis of this review, the group makes consensus statements and recommendations for future research.
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Affiliation(s)
- Jaume Sastre-Garriga
- Multiple Sclerosis Centre of Catalonia (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.
| | - Deborah Pareto
- Section of Neuroradiology and Magnetic Resonance Unit, Department of Radiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Marco Battaglini
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Olga Ciccarelli
- NMR Research Unit, University College London Queen Square Institute of Neurology, London, UK
- National Institute for Health Research Biomedical Research Centre, University College London Hospitals, London, UK
| | - Christian Enzinger
- Department of Neurology and Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Jens Wuerfel
- Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Maria P Sormani
- Biostatistics Unit, Department of Health Sciences, University of Genoa, Genoa, Italy
- IRCCS, Ospedale Policlinico San Martino, Genoa, Italy
| | - Frederik Barkhof
- National Institute for Health Research Biomedical Research Centre, University College London Hospitals, London, UK
- Amsterdam Neuroscience, MS Center Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands
- Institutes of Neurology and Healthcare Engineering, University College London, London, UK
| | - Tarek A Yousry
- NMR Research Unit, University College London Queen Square Institute of Neurology, London, UK
- Lysholm Department of Neuroradiology, University College London Hospitals National Hospital for Neurology and Neurosurgery, University College London Institute of Neurology, London, UK
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Mar Tintoré
- Multiple Sclerosis Centre of Catalonia (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Claudio Gasperini
- Multiple Sclerosis Center, Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital, University of Basel, Basel, Switzerland
| | - Jordi Río
- Multiple Sclerosis Centre of Catalonia (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jette Frederiksen
- Department of Neurology, Rigshospitalet-Glostrup and University of Copenhagen, Glostrup, Denmark
| | - Jackie Palace
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Hugo Vrenken
- Amsterdam Neuroscience, MS Center Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands
| | - Xavier Montalban
- Multiple Sclerosis Centre of Catalonia (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
- Division of Neurology, St Michael's Hospital, University of Toronto, Toronto, Canada
| | - Àlex Rovira
- Section of Neuroradiology and Magnetic Resonance Unit, Department of Radiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.
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Bäcker-Koduah P, Bellmann-Strobl J, Scheel M, Wuerfel J, Wernecke KD, Dörr J, Brandt AU, Paul F. Vitamin D and Disease Severity in Multiple Sclerosis-Baseline Data From the Randomized Controlled Trial (EVIDIMS). Front Neurol 2020; 11:129. [PMID: 32158426 PMCID: PMC7052055 DOI: 10.3389/fneur.2020.00129] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 02/05/2020] [Indexed: 12/18/2022] Open
Abstract
Objective: To investigate the associations between hypovitaminosis D and disease activity in a cohort of relapsing remitting multiple sclerosis (RRMS) and clinically isolated syndrome (CIS) patients. Methods: In 51 RRMS and 2 CIS patients on stable interferon-β-1b (IFN-β-1b) treatment recruited to the EVIDIMS study (Efficacy of Vitamin D Supplementation in Multiple Sclerosis (NCT01440062) baseline serum vitamin D levels were evaluated. Patients were dichotomized based on the definition of vitamin D deficiency which is reflected by a < 30 vs. ≥ 30 ng/ml level of 25-hydroxyvitamin D (25(OH)D). Possible associations between vitamin D deficiency and both clinical and MRI features of the disease were analyzed. Results: Median (25, 75% quartiles, Q) 25(OH)D level was 18 ng/ml (12, 24). Forty eight out of 53 (91%) patients had 25(OH)D levels < 30 ng/ml (p < 0.001). Patients with 25(OH)D ≥ 30 ng/ml had lower median (25, 75% Q) T2-weighted lesion counts [25 (24, 33)] compared to patients with 25(OH)D < 30 ng/ml [60 (36, 84), p = 0.03; adjusted for age, gender and disease duration: p < 0.001]. Expanded disability status scale (EDSS) score was negatively associated with serum 25(OH)D levels in a multiple linear regression, including age, sex, and disease duration (adjusted: p < 0.001). Interpretation: Most patients recruited in the EVIDIMS study were vitamin D deficient. Higher 25(OH)D levels were associated with reduced T2 weighted lesion count and lower EDSS scores.
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Affiliation(s)
- Priscilla Bäcker-Koduah
- Charité-Universitätsmedizin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, NeuroCure Cluster of Excellence, Berlin, Germany.,Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Judith Bellmann-Strobl
- Charité-Universitätsmedizin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, NeuroCure Cluster of Excellence, Berlin, Germany.,Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine, Berlin, Germany.,Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Michael Scheel
- Charité-Universitätsmedizin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, NeuroCure Cluster of Excellence, Berlin, Germany.,Department of Neuroradiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Jens Wuerfel
- Department of Biomedical Engineering, Medical Imaging Analysis Center, Universitätsspital, Basel, Switzerland
| | - Klaus-Dieter Wernecke
- Institute of Biometry and Clinical Epidemiology, Charité -Universitatsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany.,CRO SOSTANA GmbH, Berlin, Germany
| | - Jan Dörr
- Charité-Universitätsmedizin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, NeuroCure Cluster of Excellence, Berlin, Germany.,Multiple Sclerosis Center Hennigsdorf, Oberhavel Clinics, Berlin, Germany
| | - Alexander Ulrich Brandt
- Charité-Universitätsmedizin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, NeuroCure Cluster of Excellence, Berlin, Germany.,Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine, Berlin, Germany.,Department of Neurology, University of California, Irvine, Irvine, CA, United States
| | - Friedemann Paul
- Charité-Universitätsmedizin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, NeuroCure Cluster of Excellence, Berlin, Germany.,Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine, Berlin, Germany.,Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
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Tsagkas C, Chakravarty MM, Gaetano L, Naegelin Y, Amann M, Parmar K, Papadopoulou A, Wuerfel J, Kappos L, Sprenger T, Magon S. Longitudinal patterns of cortical thinning in multiple sclerosis. Hum Brain Mapp 2020; 41:2198-2215. [PMID: 32067281 PMCID: PMC7268070 DOI: 10.1002/hbm.24940] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 12/21/2019] [Accepted: 01/13/2020] [Indexed: 01/19/2023] Open
Abstract
In multiple sclerosis (MS), cortical atrophy is correlated with clinical and neuropsychological measures. We aimed to examine the differences in the temporospatial evolution of cortical thickness (CTh) between MS‐subtypes and to study the association of CTh with T2‐weighted white matter lesions (T2LV) and clinical progression. Two hundred and forty‐three MS patients (180 relapsing–remitting [RRMS], 51 secondary‐progressive [SPMS], and 12 primary‐progressive [PPMS]) underwent annual clinical (incl. expanded disability status scale [EDSS]) and MRI‐examinations over 6 years. T2LV and CTh were measured. CTh did not differ between MS‐subgroups. Higher total T2LV was associated with extended bilateral CTh‐reduction on average, but did not correlate with CTh‐changes over time. In RRMS, CTh‐ and EDSS‐changes over time were negatively correlated in large bilateral prefrontal, frontal, parietal, temporal, and occipital areas. In SPMS, CTh was not associated with the EDSS. In PPMS, CTh‐ and EDSS‐changes over time were correlated in small clusters predominantly in left parietal areas. Increase of brain lesion load does not lead to an immediate CTh‐reduction. Although CTh did not differ between MS‐subtypes, a dissociation in the correlation between CTh‐ and EDSS‐changes over time between RRMS and progressive‐MS was shown, possibly underlining the contribution of subcortical pathology to clinical progression in progressive‐MS.
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Affiliation(s)
- Charidimos Tsagkas
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Medical Image Analysis Center AG, Basel, Switzerland
| | - M Mallar Chakravarty
- Cerebral Imaging Centre - Douglas Mental Health University Institute, Verdun, QC, Canada.,Department of Biomedical Engineering, McGill University, Montreal, QC, Canada.,Department of Psychiatry, McGill University, Montreal, QC, Canada
| | | | - Yvonne Naegelin
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland
| | - Michael Amann
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.,Medical Image Analysis Center AG, Basel, Switzerland.,Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Katrin Parmar
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Athina Papadopoulou
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,NeuroCure Clinical Research Center, Charite - Universitatsmedizin Berlin, corporate member of Freie Universitat Berlin, Humboldt-Universitat zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Jens Wuerfel
- Medical Image Analysis Center AG, Basel, Switzerland.,Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Till Sprenger
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.,Department of Neurology, DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany
| | - Stefano Magon
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.,Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland
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46
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Magon S, Tsagkas C, Gaetano L, Patel R, Naegelin Y, Amann M, Parmar K, Papadopoulou A, Wuerfel J, Stippich C, Kappos L, Chakravarty MM, Sprenger T. Volume loss in the deep gray matter and thalamic subnuclei: a longitudinal study on disability progression in multiple sclerosis. J Neurol 2020; 267:1536-1546. [PMID: 32040710 DOI: 10.1007/s00415-020-09740-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 01/29/2020] [Accepted: 01/31/2020] [Indexed: 01/18/2023]
Abstract
BACKGROUND Volume loss in the deep gray matter (DGM) has been reported in patients with multiple sclerosis (MS) already at early stages of the disease and is thought to progress throughout the disease course. OBJECTIVE To investigate the impact and predictive value of volume loss in DGM and thalamic subnuclei on disability worsening in patients MS over a 6-year follow-up period. METHODS Hundred and seventy-nine patients with RRMS (132 women; median Expanded Disability Status Scale, EDSS: 2.5) and 50 with SPMS (27 women; median EDSS: 4.5) were included in the study. Patients underwent annual EDSS assessments and annual MRI at 1.5 T. DGM/thalamic subnuclei volumes were identified on high-resolution T1-weighted. A hierarchical linear mixed model for each anatomical DGM area and each thalamic subnucleus was performed to investigate the associations with disability scores. Cox regression was used to estimate the predictive properties of volume loss in DGM and thalamic subnuclei on disease worsening. RESULTS In the whole sample and in RRMS, volumes of the thalamus and the striatum were associated with the EDSS; however, only thalamic volume loss was associated with EDSS change at follow-up. Regarding thalamic subnuclei, volume loss in the anterior nucleus, the pulvinar and the ventral anterior nucleus was associated with EDSS change in the whole cohort. A trend was observed for the ventral lateral nucleus. Volume loss in the anterior and ventral anterior nuclei was associated with EDSS change over time in patients with RRMS. Moreover, MS phenotype and annual rates of volume loss in the thalamus and ventral lateral nucleus were predictive of disability worsening. CONCLUSION These results highlight the relevance of volume loss in the thalamus as a key metric for predicting disability worsening as assessed by EDSS (in RRMS). Moreover, the volume loss in specific nuclei such as the ventral lateral nucleus seems to play a role in disability worsening.
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Affiliation(s)
- Stefano Magon
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, Department of Neurology, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland. .,Medical Image Analysis Center AG, Basel, Switzerland.
| | - Charidimos Tsagkas
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, Department of Neurology, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland.,Medical Image Analysis Center AG, Basel, Switzerland
| | - Laura Gaetano
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, Department of Neurology, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland.,Medical Image Analysis Center AG, Basel, Switzerland
| | - Raihaan Patel
- Cerebral Imaging Centre-Douglas Mental Health University Institute, Verdun, QC, Canada.,Department of Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Yvonne Naegelin
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, Department of Neurology, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland
| | - Michael Amann
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, Department of Neurology, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland.,Medical Image Analysis Center AG, Basel, Switzerland.,Department of Biomedical Engineering, University Basel, Basel, Switzerland
| | - Katrin Parmar
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, Department of Neurology, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland.,Medical Image Analysis Center AG, Basel, Switzerland
| | - Athina Papadopoulou
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, Department of Neurology, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland.,NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Jens Wuerfel
- Medical Image Analysis Center AG, Basel, Switzerland.,Department of Biomedical Engineering, University Basel, Basel, Switzerland
| | - Christoph Stippich
- Department of Neuroradiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, Department of Neurology, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland
| | - M Mallar Chakravarty
- Cerebral Imaging Centre-Douglas Mental Health University Institute, Verdun, QC, Canada.,Department of Biomedical Engineering, McGill University, Montreal, QC, Canada.,Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Till Sprenger
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, Department of Neurology, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland.,Department of Neurology, DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany
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Bendfeldt K, Taschler B, Gaetano L, Madoerin P, Kuster P, Mueller-Lenke N, Amann M, Vrenken H, Wottschel V, Barkhof F, Borgwardt S, Klöppel S, Wicklein EM, Kappos L, Edan G, Freedman MS, Montalbán X, Hartung HP, Pohl C, Sandbrink R, Sprenger T, Radue EW, Wuerfel J, Nichols TE. MRI-based prediction of conversion from clinically isolated syndrome to clinically definite multiple sclerosis using SVM and lesion geometry. Brain Imaging Behav 2020; 13:1361-1374. [PMID: 30155789 DOI: 10.1007/s11682-018-9942-9] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Neuroanatomical pattern classification using support vector machines (SVMs) has shown promising results in classifying Multiple Sclerosis (MS) patients based on individual structural magnetic resonance images (MRI). To determine whether pattern classification using SVMs facilitates predicting conversion to clinically definite multiple sclerosis (CDMS) from clinically isolated syndrome (CIS). We used baseline MRI data from 364 patients with CIS, randomised to interferon beta-1b or placebo. Non-linear SVMs and 10-fold cross-validation were applied to predict converters/non-converters (175/189) at two years follow-up based on clinical and demographic data, lesion-specific quantitative geometric features and grey-matter-to-whole-brain volume ratios. We applied linear SVM analysis and leave-one-out cross-validation to subgroups of converters (n = 25) and non-converters (n = 44) based on cortical grey matter segmentations. Highest prediction accuracies of 70.4% (p = 8e-5) were reached with a combination of lesion-specific geometric (image-based) and demographic/clinical features. Cortical grey matter was informative for the placebo group (acc.: 64.6%, p = 0.002) but not for the interferon group. Classification based on demographic/clinical covariates only resulted in an accuracy of 56% (p = 0.05). Overall, lesion geometry was more informative in the interferon group, EDSS and sex were more important for the placebo cohort. Alongside standard demographic and clinical measures, both lesion geometry and grey matter based information can aid prediction of conversion to CDMS.
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Affiliation(s)
- Kerstin Bendfeldt
- Medical Image Analysis Center (MIAC AG), Mittlere Str. 83, CH-4031, Basel, Switzerland.
| | - Bernd Taschler
- German Center for Neurodegenerative Diseases, Bonn, Germany.,Department of Statistics, University of Warwick, Coventry, UK
| | - Laura Gaetano
- Medical Image Analysis Center (MIAC AG), Mittlere Str. 83, CH-4031, Basel, Switzerland.,Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Philip Madoerin
- Medical Image Analysis Center (MIAC AG), Mittlere Str. 83, CH-4031, Basel, Switzerland
| | - Pascal Kuster
- Medical Image Analysis Center (MIAC AG), Mittlere Str. 83, CH-4031, Basel, Switzerland
| | - Nicole Mueller-Lenke
- Medical Image Analysis Center (MIAC AG), Mittlere Str. 83, CH-4031, Basel, Switzerland
| | - Michael Amann
- Medical Image Analysis Center (MIAC AG), Mittlere Str. 83, CH-4031, Basel, Switzerland.,Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Hugo Vrenken
- VU University Medical Center, Amsterdam, The Netherlands
| | | | - Frederik Barkhof
- VU University Medical Center, Amsterdam, The Netherlands.,Institutes of Neurology and Healthcare Engineering, UCL, London, UK
| | - Stefan Borgwardt
- Medical Image Analysis Center (MIAC AG), Mittlere Str. 83, CH-4031, Basel, Switzerland.,Department of Psychiatry (1), University of Basel, Basel, Switzerland.,King's College London, Department of Psychosis Studies, Institute of Psychiatry, London, UK
| | - Stefan Klöppel
- Department of Psychiatry and Psychotherapy, Freiburg Brain Imaging, University Medical Center Freiburg, Freiburg, Germany
| | | | - Ludwig Kappos
- Department of Neurology, University Hospital Basel, Basel, Switzerland
| | | | - Mark S Freedman
- University of Ottawa and Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | | | - Hans-Peter Hartung
- Department of Neurology, Heinrich-Heine Universität, Düsseldorf, Germany
| | - Christoph Pohl
- Bayer Pharma AG, Berlin, Germany.,Charité University Medicine Berlin, Berlin, Germany
| | - Rupert Sandbrink
- Bayer Pharma AG, Berlin, Germany.,Department of Neurology, Heinrich-Heine Universität, Düsseldorf, Germany
| | - Till Sprenger
- Medical Image Analysis Center (MIAC AG), Mittlere Str. 83, CH-4031, Basel, Switzerland.,Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Ernst-Wilhelm Radue
- Medical Image Analysis Center (MIAC AG), Mittlere Str. 83, CH-4031, Basel, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center (MIAC AG), Mittlere Str. 83, CH-4031, Basel, Switzerland.,Charité University Medicine Berlin, Berlin, Germany
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Dörr J, Bäcker-Koduah P, Wernecke KD, Becker E, Hoffmann F, Faiss J, Brockmeier B, Hoffmann O, Anvari K, Wuerfel J, Piper SK, Bellmann-Strobl J, Brandt AU, Paul F. High-dose vitamin D supplementation in multiple sclerosis - results from the randomized EVIDIMS (efficacy of vitamin D supplementation in multiple sclerosis) trial. Mult Scler J Exp Transl Clin 2020; 6:2055217320903474. [PMID: 32047645 PMCID: PMC6984434 DOI: 10.1177/2055217320903474] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 12/20/2019] [Accepted: 12/23/2019] [Indexed: 11/22/2022] Open
Abstract
Background Epidemiological, preclinical, and non-interventional studies link vitamin D (VD) serum levels and disease activity in multiple sclerosis (MS). It is unclear whether high-dose VD supplementation can be used as an intervention to reduce disease activity. Objectives The study aimed to compare the effects of every other day high- (20,400 IU) versus low-dose (400 IU) cholecalciferol supplementation on clinical and imaging markers of disease activity in patients with relapsing–remitting MS or clinically isolated syndrome. Methods The EVIDIMS (efficacy of vitamin D supplementation in multiple sclerosis) trial was a multicentre randomized/stratified actively controlled explorative phase 2a pilot trial with a double-blind intervention period of 18 months, add on to interferon-β1b. Results Fifty-three patients were randomized, and 41 patients completed the study. Cholecalciferol supplementation was well tolerated and safe in both arms. After 18 months, clinical (relapse rates, disability progression) and radiographical (T2-weighted lesion development, contrast-enhancing lesion development, brain atrophy) did not differ between both treatment arms. Post-study power calculations suggested that the sample size was too low to prove the hypothesis. Conclusions The results neither support nor disprove a therapeutic benefit of high-dose VD supplementation but provide a basis for sound sample size estimations in future confirmatory studies. www.clinicaltrials.gov/NCT01440062
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Affiliation(s)
- Jan Dörr
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, Germany
| | - Priscilla Bäcker-Koduah
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, Germany
| | | | - Elke Becker
- Neurologisches Facharztzentrum Berlin, Germany
| | - Frank Hoffmann
- Department of Neurology, Krankenhaus Martha-Maria Halle-Doelau, Germany
| | - Jürgen Faiss
- Department of Neurology, Asklepios Kliniken Teupitz and Lübben, Germany
| | | | - Olaf Hoffmann
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, Germany
| | | | - Jens Wuerfel
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, Germany
| | - Sophie K Piper
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Biometry and Clinical Epidemiology, Germany
| | - Judith Bellmann-Strobl
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, Germany
| | - Alexander U Brandt
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, Germany
| | - Friedemann Paul
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, Germany
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Papadopoulou A, Oertel FC, Gaetano L, Kuchling J, Zimmermann H, Chien C, Siebert N, Asseyer S, Bellmann-Strobl J, Ruprecht K, Chakravarty MM, Scheel M, Magon S, Wuerfel J, Paul F, Brandt AU. Attack-related damage of thalamic nuclei in neuromyelitis optica spectrum disorders. J Neurol Neurosurg Psychiatry 2019; 90:1156-1164. [PMID: 31127016 DOI: 10.1136/jnnp-2018-320249] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 03/18/2019] [Accepted: 04/01/2019] [Indexed: 11/04/2022]
Abstract
OBJECTIVES In neuromyelitis optica spectrum disorders (NMOSD) thalamic damage is controversial, but thalamic nuclei were never studied separately. We aimed at assessing volume loss of thalamic nuclei in NMOSD. We hypothesised that only specific nuclei are damaged, by attacks affecting structures from which they receive afferences: the lateral geniculate nucleus (LGN), due to optic neuritis (ON) and the ventral posterior nucleus (VPN), due to myelitis. METHODS Thirty-nine patients with aquaporin 4-IgG seropositive NMOSD (age: 50.1±14.1 years, 36 women, 25 with prior ON, 36 with prior myelitis) and 37 healthy controls (age: 47.8 ± 12.5 years, 32 women) were included in this cross-sectional study. Thalamic nuclei were assessed in magnetic resonance images, using a multi-atlas-based approach of automated segmentation. Retinal optical coherence tomography was also performed. RESULTS Patients with ON showed smaller LGN volumes (181.6±44.2 mm3) compared with controls (198.3±49.4 mm3; B=-16.97, p=0.004) and to patients without ON (206.1±50 mm3 ; B=-23.74, p=0.001). LGN volume was associated with number of ON episodes (Rho=-0.536, p<0.001), peripapillary retinal nerve fibre layer thickness (B=0.70, p<0.001) and visual function (B=-0.01, p=0.002). Although VPN was not smaller in patients with myelitis (674.3±67.5 mm3) than controls (679.7±68.33; B=-7.36, p=0.594), we found reduced volumes in five patients with combined myelitis and brainstem attacks (B=-76.18, p=0.017). Volumes of entire thalamus and other nuclei were not smaller in patients than controls. CONCLUSION These findings suggest attack-related anterograde degeneration rather than diffuse thalamic damage in NMOSD. They also support a potential role of LGN volume as an imaging marker of structural brain damage in these patients.
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Affiliation(s)
- Athina Papadopoulou
- 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 Delbrueck Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Frederike Cosima Oertel
- 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 Delbrueck Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Laura Gaetano
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedicine, University Hospital Basel and University of Basel, Basel, Switzerland.,Medical Image Analysis Center, Basel, Switzerland.,F. Hoffmann-La Roche, Basel, Switzerland
| | - Joseph Kuchling
- 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 Delbrueck Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Hanna 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.,Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Claudia Chien
- 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 Delbrueck Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Nadja Siebert
- 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 Delbrueck Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Susanna Asseyer
- 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 Delbrueck Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, 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 Delbrueck Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Klemens Ruprecht
- 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
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Québec, Canada.,Department of Psychiatry and Biomedical engineering, McGill University, Montreal, Québec, Canada
| | - 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.,Department of Neuroradiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Stefano Magon
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedicine, University Hospital Basel and University of Basel, Basel, Switzerland.,Medical Image Analysis Center, Basel, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center, Basel, Switzerland
| | - 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.,Experimental and Clinical Research Center, Max Delbrueck Center for Molecular 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
| | - Alexander Ulrich 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 .,Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Department of Neurology, University of California Irvine, Irvine, California, USA
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50
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Dusek P, Mekle R, Skowronska M, Acosta-Cabronero J, Huelnhagen T, Robinson SD, Schubert F, Deschauer M, Els A, Ittermann B, Schottmann G, Madai VI, Paul F, Klopstock T, Kmiec T, Niendorf T, Wuerfel J, Schneider SA. Brain iron and metabolic abnormalities in C19orf12 mutation carriers: A 7.0 tesla MRI study in mitochondrial membrane protein-associated neurodegeneration. Mov Disord 2019; 35:142-150. [PMID: 31518459 DOI: 10.1002/mds.27827] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 07/20/2019] [Accepted: 07/24/2019] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Mitochondrial membrane protein-associated neurodegeneration is an autosomal-recessive disorder caused by C19orf12 mutations and characterized by iron deposits in the basal ganglia. OBJECTIVES The aim of this study was to quantify iron concentrations in deep gray matter structures using quantitative susceptibility mapping MRI and to characterize metabolic abnormalities in the pyramidal pathway using 1 H MR spectroscopy in clinically manifesting membrane protein-associated neurodegeneration patients and asymptomatic C19orf12 gene mutation heterozygous carriers. METHODS We present data of 4 clinically affected membrane protein-associated neurodegeneration patients (mean age: 21.0 ± 2.9 years) and 9 heterozygous gene mutation carriers (mean age: 50.4 ± 9.8 years), compared to age-matched healthy controls. MRI assessments were performed on a 7.0 Tesla whole-body system, consisting of whole-brain gradient-echo scans and short echo time, single-volume MR spectroscopy in the white matter of the precentral/postcentral gyrus. Quantitative susceptibility mapping, a surrogate marker for iron concentration, was performed using a state-of-the-art multiscale dipole inversion approach with focus on the globus pallidus, thalamus, putamen, caudate nucleus, and SN. RESULTS AND CONCLUSION In membrane protein-associated neurodegeneration patients, magnetic susceptibilities were 2 to 3 times higher in the globus pallidus (P = 0.02) and SN (P = 0.02) compared to controls. In addition, significantly higher magnetic susceptibility was observed in the caudate nucleus (P = 0.02). Non-manifesting heterozygous mutation carriers exhibited significantly increased magnetic susceptibility (relative to controls) in the putamen (P = 0.003) and caudate nucleus (P = 0.001), which may be an endophenotypic marker of genetic heterozygosity. MR spectroscopy revealed significantly increased levels of glutamate, taurine, and the combined concentration of glutamate and glutamine in membrane protein-associated neurodegeneration, which may be a correlate of corticospinal pathway dysfunction frequently observed in membrane protein-associated neurodegeneration patients. © 2019 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Petr Dusek
- Department of Neurology and Centre of Clinical Neuroscience, Charles University, 1st Faculty of Medicine and General University Hospital in Prague, Prague, Czechia.,Department of Radiology, Charles University, 1st Faculty of Medicine and General University Hospital in Prague, Prague, Czechia
| | - Ralf Mekle
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany.,Center for Stroke Research Berlin (CSB), Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Marta Skowronska
- 2nd Department of Neurology, Institute of Psychiatry and Neurology, Warsaw, Poland
| | - Julio Acosta-Cabronero
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, University College London, London, United Kingdom
| | - Till Huelnhagen
- Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Simon Daniel Robinson
- High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Florian Schubert
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Marcus Deschauer
- Department of Neurology, Technical University Munich, Munich, Germany
| | - Antje Els
- Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Gudrun Schottmann
- NeuroCure Clinical Research Center and Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité-Universitaetsmedizin Berlin, Berlin, Germany
| | - Vince I Madai
- Center for Stroke Research Berlin (CSB), Charité Universitätsmedizin Berlin, Berlin, Germany.,Department of Neurosurgery, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Friedemann Paul
- NeuroCure Clinical Research Center and Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité-Universitaetsmedizin Berlin, Berlin, Germany
| | - Thomas Klopstock
- Department of Neurology with Friedrich-Baur-Institute, Ludwig-Maximilians-University of Munich, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Tomasz Kmiec
- Department of Neurology and Epileptology, The Children's Memorial Health Institute, Warsaw, Poland
| | - Thoralf Niendorf
- Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Jens Wuerfel
- NeuroCure Clinical Research Center and Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité-Universitaetsmedizin Berlin, Berlin, Germany.,Medical Image Analysis Center and Department Biomedical Engineering, University Basel, Basel, Switzerland
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