Impact of Magnetic Resonance Imaging Markers on the Diagnostic Performance of the International Parkinson and Movement Disorder Society Multiple System Atrophy Criteria.

MRI autopsy‐confirmed brain magnetic resonance imaging multiple system atrophy

Journal

Movement disorders : official journal of the Movement Disorder Society
ISSN: 1531-8257
Titre abrégé: Mov Disord
Pays: United States
ID NLM: 8610688

Informations de publication

Date de publication:
07 Jun 2024
Historique:
revised: 10 05 2024
received: 05 04 2024
accepted: 17 05 2024
medline: 7 6 2024
pubmed: 7 6 2024
entrez: 7 6 2024
Statut: aheadofprint

Résumé

Multiple system atrophy is a neurodegenerative disease with α-synuclein aggregation in glial cytoplasmic inclusions, leading to dysautonomia, parkinsonism, and cerebellar ataxia. The aim of this study was to validate the accuracy of the International Parkinson and Movement Disorder Society Multiple System Atrophy clinical diagnostic criteria, particularly considering the impact of the newly introduced brain magnetic resonance imaging (MRI) markers. Diagnostic accuracy of the clinical diagnostic criteria for multiple system atrophy was estimated retrospectively in autopsy-confirmed patients with multiple system atrophy, Parkinson's disease, progressive supranuclear palsy, and corticobasal degeneration. We identified a total of 240 patients. Sensitivity of the clinically probable criteria was moderate at symptom onset but improved with disease duration (year 1: 9%, year 3: 39%, final ante mortem record: 77%), whereas their specificity remained consistently high (99%-100% throughout). Sensitivity of the clinically established criteria was low during the first 3 years (1%-9%), with mild improvement at the final ante mortem record (22%), whereas specificity remained high (99%-100% throughout). When MRI features were excluded from the clinically established criteria, their sensitivity increased considerably (year 1: 3%, year 3: 22%, final ante mortem record: 48%), and their specificity was not compromised (99%-100% throughout). The International Parkinson and Movement Disorder Society multiple system atrophy diagnostic criteria showed consistently high specificity and low to moderate sensitivity throughout the disease course. The MRI markers for the clinically established criteria reduced their sensitivity without improving specificity. Combining clinically probable and clinically established criteria, but disregarding MRI features, yielded the best sensitivity with excellent specificity and may be most appropriate to select patients for therapeutic trials. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Sections du résumé

BACKGROUND BACKGROUND
Multiple system atrophy is a neurodegenerative disease with α-synuclein aggregation in glial cytoplasmic inclusions, leading to dysautonomia, parkinsonism, and cerebellar ataxia.
OBJECTIVE OBJECTIVE
The aim of this study was to validate the accuracy of the International Parkinson and Movement Disorder Society Multiple System Atrophy clinical diagnostic criteria, particularly considering the impact of the newly introduced brain magnetic resonance imaging (MRI) markers.
METHODS METHODS
Diagnostic accuracy of the clinical diagnostic criteria for multiple system atrophy was estimated retrospectively in autopsy-confirmed patients with multiple system atrophy, Parkinson's disease, progressive supranuclear palsy, and corticobasal degeneration.
RESULTS RESULTS
We identified a total of 240 patients. Sensitivity of the clinically probable criteria was moderate at symptom onset but improved with disease duration (year 1: 9%, year 3: 39%, final ante mortem record: 77%), whereas their specificity remained consistently high (99%-100% throughout). Sensitivity of the clinically established criteria was low during the first 3 years (1%-9%), with mild improvement at the final ante mortem record (22%), whereas specificity remained high (99%-100% throughout). When MRI features were excluded from the clinically established criteria, their sensitivity increased considerably (year 1: 3%, year 3: 22%, final ante mortem record: 48%), and their specificity was not compromised (99%-100% throughout).
CONCLUSIONS CONCLUSIONS
The International Parkinson and Movement Disorder Society multiple system atrophy diagnostic criteria showed consistently high specificity and low to moderate sensitivity throughout the disease course. The MRI markers for the clinically established criteria reduced their sensitivity without improving specificity. Combining clinically probable and clinically established criteria, but disregarding MRI features, yielded the best sensitivity with excellent specificity and may be most appropriate to select patients for therapeutic trials. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Identifiants

pubmed: 38847384
doi: 10.1002/mds.29879
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Deutsche Parkinson Gesellschaft, the Else-Kröner-Fresenius-Stiftung, the CurePSP foundation and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy within the framework of the Munich Cluster for Systems Neurology
ID : EXC 2145 SyNergy-ID 390857198
Organisme : Frame of E-Rare-3, the ERA-Net for Research on Rare Diseases
ID : ERARE18-124 (MSA-omics)

Informations de copyright

© 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

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Auteurs

Ida Jensen (I)

Department of Neurology, LMU University Hospital, Ludwig-Maximilians-Universität (LMU) München, Munich, Germany.

Johanne Heine (J)

Department of Neurology, Hannover Medical School, Hanover, Germany.

Viktoria C Ruf (VC)

Center for Neuropathology and Prion Research, Faculty of Medicine, LMU Munich, Munich, Germany.

Yaroslau Compta (Y)

Movement Disorders Unit, Neurology Service, Institut Clínic de Neurociències, Hospital Clínic de Barcelona, IDIBAPS, CIBERNED, Barcelona, Catalonia, Spain.

Laura Molina Porcel (LM)

Neurology Department, Hospital Clinic, IDIBAPS, Barcelona, Spain.

Claire Troakes (C)

Basic and Clinical Neuroscience Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

Albert Vamanu (A)

Basic and Clinical Neuroscience Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

Sophia Downes (S)

Basic and Clinical Neuroscience Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

David Irwin (D)

Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.

Jesse Cohen (J)

Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.

Edward B Lee (EB)

Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Institute on Aging, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

Christer Nilsson (C)

Department of Clinical Sciences, Division of Neurology, Lund University, Lund, Sweden.

Elisabet Englund (E)

Department of Clinical Sciences, Division of Pathology instead of Neurology, Lund University, Lund, Sweden.

Mojtaba Nemati (M)

Department of Neurology, LMU University Hospital, Ludwig-Maximilians-Universität (LMU) München, Munich, Germany.

Sabrina Katzdobler (S)

Department of Neurology, LMU University Hospital, Ludwig-Maximilians-Universität (LMU) München, Munich, Germany.

Johannes Levin (J)

Department of Neurology, LMU University Hospital, Ludwig-Maximilians-Universität (LMU) München, Munich, Germany.
German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, Munich, Germany.
Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Strasse 17, Munich, Germany.

Alex Pantelyat (A)

Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.

Joseph Seemiller (J)

Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.

Stephen Berger (S)

Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.

John van Swieten (J)

Department of Neurology, Erasmus Medical Centre, Rotterdam, The Netherlands.

Elise Dopper (E)

Department of Neurology, Erasmus Medical Centre, Rotterdam, The Netherlands.

Annemieke Rozenmuller (A)

Department of Pathology, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands.

Gabor G Kovacs (GG)

Laboratory Medicine Program and Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada.
Department of Laboratory Medicine and Pathobiology and Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada.

Nathaniel Bendahan (N)

Edmond J. Safra Program in Parkinson's Disease and the Rossy Progressive Supranuclear Palsy Centre, Division of Neurology, Toronto Western Hospital, University Health Network and the University of Toronto, Toronto, Ontario, Canada.

Anthony E Lang (AE)

Edmond J. Safra Program in Parkinson's Disease and the Rossy Progressive Supranuclear Palsy Centre, Division of Neurology, Toronto Western Hospital, University Health Network and the University of Toronto, Toronto, Ontario, Canada.

Jochen Herms (J)

Center for Neuropathology and Prion Research, Faculty of Medicine, LMU Munich, Munich, Germany.
German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, Munich, Germany.
Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Strasse 17, Munich, Germany.

Günter Höglinger (G)

Department of Neurology, LMU University Hospital, Ludwig-Maximilians-Universität (LMU) München, Munich, Germany.
German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, Munich, Germany.
Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Strasse 17, Munich, Germany.

Franziska Hopfner (F)

Department of Neurology, LMU University Hospital, Ludwig-Maximilians-Universität (LMU) München, Munich, Germany.

Classifications MeSH