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Shiina K, Tsunemi T, Hattori N. Cerebellar blood perfusion is a diagnostic, but not a prognostic, marker for parkinsonian-dominant type multiple system atrophy. Parkinsonism Relat Disord 2024; 123:106975. [PMID: 38677216 DOI: 10.1016/j.parkreldis.2024.106975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 02/13/2024] [Accepted: 04/15/2024] [Indexed: 04/29/2024]
Abstract
INTRODUCTION Multiple system atrophy (MSA) is clinically characterized by various neurological symptoms. According to the diagnostic criteria, MSA is classified into parkinsonian-dominant type (MSA-P) or cerebellar ataxia-dominant type (MSA-C) based on the predominant signs displayed. Recently, N-isopropyl-p-[123I] iodoamphetamine (123I-IMP) single-photon emission computed tomography (SPECT), a radiological examination evaluating brain perfusion, has been successful in detecting cerebellar hypoperfusion in MSA-P patients, demonstrating its utility in the early detection of cerebellar dysfunction. In this study, we further explored whether this cerebellar hypoperfusion impacts the clinical features of MSA-P, whether it is observable in patients without cerebellar symptoms, and, most importantly, whether it influences the prognosis of MSA-P. METHODS We conducted a retrospective analysis of 88 MSA patients who were admitted to our department for the last fifteen years. Clinical data were collected, and cerebellar perfusion was examined using 123I-IMP SPECT. This analysis includes the application of the three-dimensional stereotactic surface projection (3D-SSP) technique and Z-score. RESULTS Cerebellar perfusion decreased in MSA-P patients without cerebellar ataxia, compared to healthy individuals (p = 0.0017). The Receiver Operating Characteristic (ROC) curve demonstrated a moderate ability to distinguish MSA-P patients without cerebellar ataxia (MSA-Pp) from healthy controls (AUC = 0.6832). Among MSA-Pp, those exhibiting cerebellar hypoperfusion showed relatively improved neurological prognosis, although the difference was not statistically significant when compared to those with normal cerebellar perfusion. CONCLUSION Assessing cerebellar perfusion through IMP-SPECT proves valuable in detecting subclinical cerebellar dysfunction in MSA-Pp. Importantly, cerebellar hypoperfusion does not correlate with a poorer neurological prognosis.
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Affiliation(s)
- Kenta Shiina
- Department of Neurology, Juntendo University Faculty of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Taiji Tsunemi
- Department of Neurology, Juntendo University Faculty of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
| | - Nobutaka Hattori
- Department of Neurology, Juntendo University Faculty of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
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Villena-Salinas J, Ortega-Lozano SJ, Amrani-Raissouni T, Agüera E, Caballero-Villarraso J. Follow-Up Findings in Multiple System Atrophy from [ 123I]Ioflupane Single-Photon Emission Computed Tomography (SPECT): A Prospective Study. Biomedicines 2023; 11:2893. [PMID: 38001894 PMCID: PMC10669007 DOI: 10.3390/biomedicines11112893] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/12/2023] [Accepted: 10/19/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND Multiple system atrophy (MSA) is subdivided into two types: MSA-P (parkinsonian) and MSA-C (cerebellar). Brain SPECT allows for the detection of nigrostriatal involvement, even in the early stages. To date, the scientific literature does not show a consensus on how to follow-up MSA, especially MSA-C. Our aim was to analyze the diagnostic effectiveness of repeat [123I]Ioflupane SPECT for the follow-up of MSA. METHODS A longitudinal observational study on 22 MSA patients (11 males and 11 females). RESULTS Significant changes were obtained in the quantitative SPECT assessments in the three Striatum/Occipital indices. The qualitative SPECT diagnosis did not show differences between the initial and evolving SPECT, but the neurologist's clinical suspicion did. Our results showed a brain deterioration of around 31% at 12 months, this being the optimal cut-off for differentiating a diseased subject (capable of solving diagnostic error rate). Previous imaging tests were inconclusive, as they showed less deterioration in the SPECT and quantitative assessments with respect to the group of confirmed patients. Repeated SPECT increased the diagnostic sensitivity (50% vs. 75%) and positive predictive value (72.73% vs. 77%). In addition, repeated SPECT proved decisive in the diagnosis of initial inconclusive cases. CONCLUSION Repeat SPECT at 12 months proves useful in the diagnosis and follow-up of MSA.
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Affiliation(s)
- Javier Villena-Salinas
- Nuclear Medicine Service, Virgen de la Victoria University Hospital, 29010 Málaga, Spain; (J.V.-S.); (S.J.O.-L.); (T.A.-R.)
| | - Simeón José Ortega-Lozano
- Nuclear Medicine Service, Virgen de la Victoria University Hospital, 29010 Málaga, Spain; (J.V.-S.); (S.J.O.-L.); (T.A.-R.)
| | - Tomader Amrani-Raissouni
- Nuclear Medicine Service, Virgen de la Victoria University Hospital, 29010 Málaga, Spain; (J.V.-S.); (S.J.O.-L.); (T.A.-R.)
| | - Eduardo Agüera
- Neurology Service, Reina Sofia University Hospital, 14004 Córdoba, Spain;
- Maimónides Biomedical Research Institute of Córdoba (IMIBIC), 14004 Córdoba, Spain
| | - Javier Caballero-Villarraso
- Maimónides Biomedical Research Institute of Córdoba (IMIBIC), 14004 Córdoba, Spain
- Clinical Analyses Service, Reina Sofía University Hospital, 14004 Córdoba, Spain
- Department of Biochemistry and Molecular Biology, Universidad of Córdoba, 14071 Córdoba, Spain
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Goolla M, Cheshire WP, Ross OA, Kondru N. Diagnosing multiple system atrophy: current clinical guidance and emerging molecular biomarkers. Front Neurol 2023; 14:1210220. [PMID: 37840912 PMCID: PMC10570409 DOI: 10.3389/fneur.2023.1210220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 09/18/2023] [Indexed: 10/17/2023] Open
Abstract
Multiple system atrophy (MSA) is a rare and progressive neurodegenerative disorder characterized by motor and autonomic dysfunction. Accurate and early diagnosis of MSA is challenging due to its clinical similarity with other neurodegenerative disorders, such as Parkinson's disease and atypical parkinsonian disorders. Currently, MSA diagnosis is based on clinical criteria drawing from the patient's symptoms, lack of response to levodopa therapy, neuroimaging studies, and exclusion of other diseases. However, these methods have limitations in sensitivity and specificity. Recent advances in molecular biomarker research, such as α-synuclein protein amplification assays (RT-QuIC) and other biomarkers in cerebrospinal fluid and blood, have shown promise in improving the diagnosis of MSA. Additionally, these biomarkers could also serve as targets for developing disease-modifying therapies and monitoring treatment response. In this review, we provide an overview of the clinical syndrome of MSA and discuss the current diagnostic criteria, limitations of current diagnostic methods, and emerging molecular biomarkers that offer hope for improving the accuracy and early detection of MSA.
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Affiliation(s)
- Meghana Goolla
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
- Department of Surgery, University of Illinois, Chicago, IL, United States
| | | | - Owen A. Ross
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
- Department of Clinical Genomics, Mayo Clinic, Jacksonville, FL, United States
- Department of Biology, University of North Florida, Jacksonville, FL, United States
| | - Naveen Kondru
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
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4
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Villena-Salinas J, Ortega-Lozano SJ, Amrani-Raissouni T, Agüera E, Caballero-Villarraso J. Diagnostic Effectiveness of [ 123I]Ioflupane Single Photon Emission Computed Tomography (SPECT) in Multiple System Atrophy. J Clin Med 2023; 12:jcm12103478. [PMID: 37240584 DOI: 10.3390/jcm12103478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 05/07/2023] [Accepted: 05/10/2023] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND Multiple system atrophy (MSA) is a rapidly progressive neurodegenerative disorder that has no curative treatment. Diagnosis is based on a set of criteria established by Gilman (1998 and 2008) and recently updated by Wenning (2022). We aim to determine the effectiveness of [123I]Ioflupane SPECT in MSA, especially at the initial clinical suspicion. METHODS A cross-sectional study of patients at the initial clinical suspicion of MSA, referred for [123I]Ioflupane SPECT. RESULTS Overall, 139 patients (68 men, 71 women) were included, 104 being MSA-probable and 35 MSA-possible. MRI was normal in 89.2%, while SPECT was positive in 78.45%. SPECT showed high sensitivity (82.46%) and positive predictive value (86.24), reaching maximum sensitivity in MSA-P (97.26%). Significant differences were found when relating both SPECT assessments in the healthy-sick and inconclusive-sick groups. We also found an association when relating SPECT to the subtype (MSA-C or MSA-P), as well as to the presence of parkinsonian symptoms. Lateralization of striatal involvement was detected (left side). CONCLUSIONS [123I]Ioflupane SPECT is a useful and reliable tool for diagnosing MSA, with good effectiveness and accuracy. Qualitative assessment shows a clear superiority when distinguishing between the healthy-sick categories, as well as between the parkinsonian (MSA-P) and cerebellar (MSA-C) subtypes at initial clinical suspicion.
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Affiliation(s)
- Javier Villena-Salinas
- Nuclear Medicine Service, Virgen de la Victoria University Hospital, 29010 Málaga, Spain
| | | | | | - Eduardo Agüera
- Neurology Service, Reina Sofia University Hospital, 14004 Córdoba, Spain
- Maimónides Biomedical Research Institute of Córdoba (IMIBIC), 14004 Córdoba, Spain
| | - Javier Caballero-Villarraso
- Maimónides Biomedical Research Institute of Córdoba (IMIBIC), 14004 Córdoba, Spain
- Clinical Analyses Service, Reina Sofía University Hospital, 14004 Córdoba, Spain
- Department of Biochemistry and Molecular Biology, Universidad of Córdoba, 14004 Córdoba, Spain
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Gallo S, Ory-Magne F, Le-Traon AP, Rascol O, Debs R, Leung C, Fabbri M. Clinical and imaging "red flags" for the diagnosis of multiple system atrophy lookalikes. Parkinsonism Relat Disord 2023:105372. [PMID: 36959044 DOI: 10.1016/j.parkreldis.2023.105372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 03/06/2023] [Accepted: 03/10/2023] [Indexed: 03/25/2023]
Affiliation(s)
- Silvia Gallo
- Department of Neurology, University Hospital of Toulouse, Toulouse, France; Neurology Unit, Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy
| | - Fabienne Ory-Magne
- Department of Neurology, University Hospital of Toulouse, Toulouse, France
| | - Anne Pavy Le-Traon
- Neurology Unit, Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy
| | - Olivier Rascol
- Neurology Unit, Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy
| | - Rachel Debs
- Department of Neurology, University Hospital of Toulouse, Toulouse, France
| | - Clémence Leung
- Department of Neurology, University Hospital of Toulouse, Toulouse, France
| | - Margherita Fabbri
- Department of Neurology, University Hospital of Toulouse, Toulouse, France; French Reference Center for MSA, Centre d'Investigation Clinique de Toulouse CIC1436, Departments of Neurosciences and Clinical Pharmacology, NS-Park/FCRIN Network, NeuroToul COEN Center, University Hospital of Toulouse, INSERM, University of Toulouse 3, Toulouse, France.
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Fabbri M, Foubert-Samier A, Pavy-le Traon A, Rascol O, Meissner WG. Atrofia multisistemica. Neurologia 2022. [DOI: 10.1016/s1634-7072(22)47094-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
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Prange S, Theis H, Banwinkler M, van Eimeren T. Molecular Imaging in Parkinsonian Disorders—What’s New and Hot? Brain Sci 2022; 12:brainsci12091146. [PMID: 36138882 PMCID: PMC9496752 DOI: 10.3390/brainsci12091146] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 08/23/2022] [Accepted: 08/24/2022] [Indexed: 12/02/2022] Open
Abstract
Highlights Abstract Neurodegenerative parkinsonian disorders are characterized by a great diversity of clinical symptoms and underlying neuropathology, yet differential diagnosis during lifetime remains probabilistic. Molecular imaging is a powerful method to detect pathological changes in vivo on a cellular and molecular level with high specificity. Thereby, molecular imaging enables to investigate functional changes and pathological hallmarks in neurodegenerative disorders, thus allowing to better differentiate between different forms of degenerative parkinsonism, improve the accuracy of the clinical diagnosis and disentangle the pathophysiology of disease-related symptoms. The past decade led to significant progress in the field of molecular imaging, including the development of multiple new and promising radioactive tracers for single photon emission computed tomography (SPECT) and positron emission tomography (PET) as well as novel analytical methods. Here, we review the most recent advances in molecular imaging for the diagnosis, prognosis, and mechanistic understanding of parkinsonian disorders. First, advances in imaging of neurotransmission abnormalities, metabolism, synaptic density, inflammation, and pathological protein aggregation are reviewed, highlighting our renewed understanding regarding the multiplicity of neurodegenerative processes involved in parkinsonian disorders. Consequently, we review the role of molecular imaging in the context of disease-modifying interventions to follow neurodegeneration, ensure stratification, and target engagement in clinical trials.
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Affiliation(s)
- Stéphane Prange
- Multimodal Neuroimaging Group, Department of Nuclear Medicine, Faculty of Medicine, University Hospital of Cologne, University of Cologne, 50937 Cologne, Germany
- Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, Université de Lyon, 69675 Bron, France
- Correspondence: (S.P.); (T.v.E.); Tel.: +49-221-47882843 (T.v.E.)
| | - Hendrik Theis
- Multimodal Neuroimaging Group, Department of Nuclear Medicine, Faculty of Medicine, University Hospital of Cologne, University of Cologne, 50937 Cologne, Germany
- Department of Neurology, Faculty of Medicine, University Hospital of Cologne, University of Cologne, 50937 Cologne, Germany
| | - Magdalena Banwinkler
- Multimodal Neuroimaging Group, Department of Nuclear Medicine, Faculty of Medicine, University Hospital of Cologne, University of Cologne, 50937 Cologne, Germany
| | - Thilo van Eimeren
- Multimodal Neuroimaging Group, Department of Nuclear Medicine, Faculty of Medicine, University Hospital of Cologne, University of Cologne, 50937 Cologne, Germany
- Department of Neurology, Faculty of Medicine, University Hospital of Cologne, University of Cologne, 50937 Cologne, Germany
- Correspondence: (S.P.); (T.v.E.); Tel.: +49-221-47882843 (T.v.E.)
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8
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Onder H, Kocer B, Dinc E, Poyraz U, Comoglu S. Marked response to levodopa in a patient with multiple system atrophy presenting with orthostatic hypotension: should reduced DAT uptake on DaTSCAN be a criterion for response to levodopa? Neurol Sci 2022; 43:5107-5110. [DOI: 10.1007/s10072-022-06101-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 04/26/2022] [Indexed: 11/24/2022]
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9
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Rinne JO, Jucaite A, Cselényi Z, Farde L. Glia Imaging Shows Clinical Utility in Differentiating Parkinson's Disease from Multiple System Atrophy. Mov Disord 2022; 37:1776-1778. [PMID: 35666059 PMCID: PMC9541833 DOI: 10.1002/mds.29078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 05/07/2022] [Accepted: 05/10/2022] [Indexed: 11/10/2022] Open
Affiliation(s)
- Juha O Rinne
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Aurelija Jucaite
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden.,PET Science Centre, Personalized Medicine and Biosamples, R&D, AstraZeneca, Stockholm, Sweden
| | - Zsolt Cselényi
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden.,PET Science Centre, Personalized Medicine and Biosamples, R&D, AstraZeneca, Stockholm, Sweden
| | - Lars Farde
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
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Utrera-Costero A, Martinez-Sanchis B, Sopena-Novales P, Bello-Arques P. The Role of Imaging Studies in Favor of Possible Cerebellar Multiple System Atrophy: A Case Study. Clin Nucl Med 2021; 46:e603-e604. [PMID: 34172603 DOI: 10.1097/rlu.0000000000003767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
ABSTRACT We report a 64-year-old woman whose history started with urinary incontinence and neurological symptoms (cognitive impairment, dysarthria, and gait difficulties). The 18F-FDG PET/CT showed hypometabolism of the whole cerebellum. Then 6 months later, she developed tremor, postural instability, and ataxia, so she was hospitalized to complete study. Blood tests (antibodies, vitamin B12, copper, genetic test of spinocerebellar ataxia) did not have alterations, but imaging studies, along with clinical symptoms, provide the diagnosis of possible multiple system atrophy.
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Affiliation(s)
- Ana Utrera-Costero
- From the Department of Nuclear Medicine, Hospital Universitari i Politècnic La Fe, Valencia, Spain
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Jucaite A, Cselényi Z, Kreisl WC, Rabiner EA, Varrone A, Carson RE, Rinne JO, Savage A, Schou M, Johnström P, Svenningsson P, Rascol O, Meissner WG, Barone P, Seppi K, Kaufmann H, Wenning GK, Poewe W, Farde L. Glia Imaging Differentiates Multiple System Atrophy from Parkinson's Disease: A Positron Emission Tomography Study with [ 11 C]PBR28 and Machine Learning Analysis. Mov Disord 2021; 37:119-129. [PMID: 34609758 DOI: 10.1002/mds.28814] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 09/06/2021] [Accepted: 09/10/2021] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND The clinical diagnosis of multiple system atrophy (MSA) is challenged by overlapping features with Parkinson's disease (PD) and late-onset ataxias. Additional biomarkers are needed to confirm MSA and to advance the understanding of pathophysiology. Positron emission tomography (PET) imaging of the translocator protein (TSPO), expressed by glia cells, has shown elevations in MSA. OBJECTIVE In this multicenter PET study, we assess the performance of TSPO imaging as a diagnostic marker for MSA. METHODS We analyzed [11 C]PBR28 binding to TSPO using imaging data of 66 patients with MSA and 24 patients with PD. Group comparisons were based on regional analysis of parametric images. The diagnostic readout included visual reading of PET images against clinical diagnosis and machine learning analyses. Sensitivity, specificity, and receiver operating curves were used to discriminate MSA from PD and cerebellar from parkinsonian variant MSA. RESULTS We observed a conspicuous pattern of elevated regional [11 C]PBR28 binding to TSPO in MSA as compared with PD, with "hotspots" in the lentiform nucleus and cerebellar white matter. Visual reading discriminated MSA from PD with 100% specificity and 83% sensitivity. The machine learning approach improved sensitivity to 96%. We identified MSA subtype-specific TSPO binding patterns. CONCLUSIONS We found a pattern of significantly increased regional glial TSPO binding in patients with MSA. Intriguingly, our data are in line with severe neuroinflammation in MSA. Glia imaging may have potential to support clinical MSA diagnosis and patient stratification in clinical trials on novel drug therapies for an α-synucleinopathy that remains strikingly incurable. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Aurelija Jucaite
- PET Science Centre, Personalized Medicine and Biosamples, R&D, AstraZeneca, Stockholm, Sweden.,Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Zsolt Cselényi
- PET Science Centre, Personalized Medicine and Biosamples, R&D, AstraZeneca, Stockholm, Sweden.,Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - William C Kreisl
- Taub Institute, Department of Neurology, Columbia University Irving Medical Centre, New York, New York, USA
| | - Eugenii A Rabiner
- Invicro, London, UK.,Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Andrea Varrone
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | | | - Juha O Rinne
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | | | - Magnus Schou
- PET Science Centre, Personalized Medicine and Biosamples, R&D, AstraZeneca, Stockholm, Sweden.,Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Peter Johnström
- PET Science Centre, Personalized Medicine and Biosamples, R&D, AstraZeneca, Stockholm, Sweden.,Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Per Svenningsson
- Section of Neurology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Olivier Rascol
- French MSA Reference Centre, Clinical Investigation Centre CIC1436, Department of Neurosciences and Clinical Pharmacology, NeuroToul COEN Centre, UMR 1 214-ToNIC and University Hospital of Toulouse, INSERM and University of Toulouse 3, Toulouse, France
| | - Wassilios G Meissner
- CRMR AMS, Service de Neurologie-Maladies Neurodégénératives, CHU Bordeaux, Bordeaux, France.,University Bordeaux, CNRS, IMN, UMR 5293, Bordeaux, France.,Department of Medicine, University of Otago, Christchurch, New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Paolo Barone
- Neurodegenerative Disease Centre, University of Salerno, Salerno, Italy
| | - Klaus Seppi
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Horacio Kaufmann
- Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | - Gregor K Wenning
- Division of Clinical Neurobiology, Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Werner Poewe
- Division of Clinical Neurobiology, Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Lars Farde
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
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12
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Roberta B, Paolo B, Massimo F, Roberto E. Unexpected ( 123I)FP-CIT SPECT findings: SWIDD, SWEDD and all DAT. J Neurol 2021; 269:758-770. [PMID: 34537866 DOI: 10.1007/s00415-021-10809-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 09/13/2021] [Accepted: 09/14/2021] [Indexed: 11/30/2022]
Abstract
Although the diagnosis of Parkinson's disease (PD) is essentially clinical, the implementation of imaging techniques can improve diagnostic accuracy. While some techniques (e.g. magnetic resonance imaging-MRI, computerized tomography-CT) are used to exclude secondary syndromes, presynaptic dopaminergic imaging including imaging of dopamine transporter (DAT)-can help the Neurologist in the differential diagnosis between neurodegenerative parkinsonian syndromes and parkinsonism without dopamine deficiency. DAT imaging can be useful in cases in which the clinical picture is not univocal, as in case of overlapping clinical features in patients with early disease, atypical syndromes or unsatisfying response to therapy. Currently, (123I)FP-CIT ([123I]N-ω-fluoropropyl-2β-carbomethoxy-3β-(4-iodophenyl)nortropane) (trade name DaTSCAN) is the only agent approved by international regulatory agencies for this purpose. With the increasing use of this technique, some unexpected findings have been reported, including patients clinically diagnosed with PD with a normal SPECT scan [e.g. Scans Without Evidence of Dopaminergic Deficit (SWEDD)]; PD patients with a greater dopaminergic deficit in the striatum ipsilateral to the clinically more affected side [e.g. Scans With Ipsilateral Dopaminergic Deficit (SWIDD)]; as well as some artifacts. Moreover, the neurologist must remember that structural lesions and administration of some drugs might alter the result of DAT imaging. Unexpected findings, artifacts, and misinterpretation of imaging findings can lead to an erroneous diagnosis and inappropriate therapy, neglect of other medical conditions that might explain the clinical picture, and undermine the selection phase in clinical trials. The aim of the present review is to bring clarity on these controversial (and sometimes erroneous) results, in order to inform of these possibilities the clinicians requesting a DaTSCAN in clinical practice.
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Affiliation(s)
- Balestrino Roberta
- Department of Neurosurgery and Gamma Knife Radiosurgery, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.,Neurology Unit, Neurorehabilitation Unit, and Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Barone Paolo
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience Section, University of Salerno, Baronissi, SA, Italy
| | - Filippi Massimo
- Neurology Unit, Neurorehabilitation Unit, and Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy. .,Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy. .,Vita-Salute San Raffaele University, Milan, Italy.
| | - Erro Roberto
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience Section, University of Salerno, Baronissi, SA, Italy
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Pellecchia MT, Stankovic I, Fanciulli A, Krismer F, Meissner WG, Palma JA, Panicker JN, Seppi K, Wenning GK. Can Autonomic Testing and Imaging Contribute to the Early Diagnosis of Multiple System Atrophy? A Systematic Review and Recommendations by the Movement Disorder Society Multiple System Atrophy Study Group. Mov Disord Clin Pract 2020; 7:750-762. [PMID: 33043073 DOI: 10.1002/mdc3.13052] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 05/08/2020] [Accepted: 05/23/2020] [Indexed: 01/01/2023] Open
Abstract
Background In the current consensus diagnostic criteria, the diagnosis of probable multiple system atrophy (MSA) is based solely on clinical findings, whereas neuroimaging findings are listed as aid for the diagnosis of possible MSA. There are overlapping phenotypes between MSA-parkinsonian type and Parkinson's disease, progressive supranuclear palsy, and dementia with Lewy bodies, and between MSA-cerebellar type and sporadic adult-onset ataxia resulting in a significant diagnostic delay and misdiagnosis of MSA during life. Objectives In light of an ongoing effort to revise the current consensus criteria for MSA, the Movement Disorders Society Multiple System Atrophy Study Group performed a systematic review of original articles published before August 2019. Methods We included articles that studied at least 10 patients with MSA as well as participants with another disorder or control group for comparison purposes. MSA was defined by neuropathological confirmation, or as clinically probable, or clinically probable plus possible according to consensus diagnostic criteria. Results We discuss the pitfalls and benefits of each diagnostic test and provide specific recommendations on how to evaluate patients in whom MSA is suspected. Conclusions This systematic review of relevant studies indicates that imaging and autonomic function tests significantly contribute to increasing the accuracy of a diagnosis of MSA.
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Affiliation(s)
- Maria Teresa Pellecchia
- Center for Neurodegenerative Diseases, Department of Medicine, Neuroscience Section, University of Salerno Fisciano Italy
| | - Iva Stankovic
- Neurology Clinic, Clinical Center of Serbia School of Medicine, University of Belgrade Belgrade Serbia
| | | | - Florian Krismer
- Department of Neurology Innsbruck Medical University Innsbruck Austria
| | - Wassilios G Meissner
- French Reference Center for MSA, Department of Neurology University Hospital Bordeaux, Bordeaux and Institute of Neurodegenerative Disorders, University Bordeaux, Centre National de la Recherche Scientifique Unite Mixte de Recherche Bordeaux Bordeaux France
| | - Jose-Alberto Palma
- Dysautonomia Center, Langone Medical Center New York University School of Medicine New York New York USA
| | - Jalesh N Panicker
- Institute of Neurology, University College London London United Kingdom.,Department of Uro-Neurology The National Hospital for Neurology and Neurosurgery London United Kingdom
| | - Klaus Seppi
- Department of Neurology Innsbruck Medical University Innsbruck Austria
| | - Gregor K Wenning
- Department of Neurology Innsbruck Medical University Innsbruck Austria
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14
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Diagnosing multiple system atrophy at the prodromal stage. Clin Auton Res 2020; 30:197-205. [PMID: 32232688 DOI: 10.1007/s10286-020-00682-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 03/16/2020] [Indexed: 02/07/2023]
Abstract
Identifying individuals at the earliest disease stage becomes crucial as we aim to develop disease-modifying treatments for neurodegenerative disorders. Prodromal diagnostic criteria were recently developed for Parkinson's disease (PD) and are forthcoming for dementia with Lewy bodies (DLB). The latest 2008 version of diagnostic criteria for multiple system atrophy (MSA) have improved diagnostic accuracy in early disease stages compared to previous criteria, but we do not yet have formal criteria for prodromal MSA. Building on similar approaches as for PD and DLB, we can identify features on history-taking, clinical examination, and ancillary clinical testing that can predict the likelihood of an individual developing MSA, while also distinguishing it from PD and DLB. The main clinical hallmarks of MSA are REM sleep behavior disorder (RBD) and autonomic dysfunction (particularly orthostatic hypotension and urogenital symptoms), and may be the primary means by which patients with potential prodromal MSA are identified. Preserved olfaction, absence of significant cognitive deficits, urinary retention, and respiratory symptoms such as stridor and respiratory insufficiency can be clinical features that help distinguish MSA from PD and DLB. Finally, ancillary test results including neuroimaging as well as serological and cerebrospinal fluid (CSF) biomarkers may lend further weight to quantifying the likelihood of phenoconversion into MSA. For prodromal criteria, the primary challenges are MSA's lower prevalence, shorter lead time to diagnosis, and strong overlap with other synucleinopathies. Future prodromal criteria may need to first embed the diagnosis into a general umbrella of prodromal alpha-synucleinopathies, followed by identification of features that suggest prodromal MSA as the specific cause.
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15
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Fanciulli A, Stankovic I, Krismer F, Seppi K, Levin J, Wenning GK. Multiple system atrophy. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2019; 149:137-192. [PMID: 31779811 DOI: 10.1016/bs.irn.2019.10.004] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Multiple system atrophy (MSA) is a sporadic, adult-onset, relentlessly progressive neurodegenerative disorder, clinically characterized by various combinations of autonomic failure, parkinsonism and ataxia. The neuropathological hallmark of MSA are glial cytoplasmic inclusions consisting of misfolded α-synuclein. Selective atrophy and neuronal loss in striatonigral and olivopontocerebellar systems underlie the division into two main motor phenotypes of MSA-parkinsonian type and MSA-cerebellar type. Isolated autonomic failure and REM sleep behavior disorder are common premotor features of MSA. Beyond the core clinical symptoms, MSA manifests with a number of non-motor and motor features. Red flags highly specific for MSA may provide clues for a correct diagnosis, but in general the diagnostic accuracy of the second consensus criteria is suboptimal, particularly in early disease stages. In this chapter, the authors discuss the historical milestones, etiopathogenesis, neuropathological findings, clinical features, red flags, differential diagnosis, diagnostic criteria, imaging and other biomarkers, current treatment, unmet needs and future treatments for MSA.
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Affiliation(s)
| | - Iva Stankovic
- Neurology Clinic, Clinical Center of Serbia, School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Florian Krismer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Klaus Seppi
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-Universität München, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) e.V., Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Gregor K Wenning
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
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16
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How to approach a patient with parkinsonism - red flags for atypical parkinsonism. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2019; 149:1-34. [PMID: 31779810 DOI: 10.1016/bs.irn.2019.10.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Parkinsonism is a clinical syndrome defined by bradykinesia plus rigidity or tremor. Though most commonly encountered in the setting of idiopathic Parkinson's disease, a number of neurodegenerative, structural, metabolic and toxic neurological disorders can result in parkinsonism. Accurately diagnosing the underlying cause of parkinsonism is of both therapeutic and prognostic relevance, especially as we enter the era of disease-modifying treatment trials for neurodegenerative disorders. Being aware of the wide array of potential causes of parkinsonism is of paramount importance for clinicians. In this chapter, we present a pragmatic clinical approach to patients with parkinsonism, specifically focusing on 'red flags', which should alert one to consider diagnoses other than idiopathic Parkinson's disease.
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17
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Meissner WG, Fernagut PO, Dehay B, Péran P, Traon APL, Foubert-Samier A, Lopez Cuina M, Bezard E, Tison F, Rascol O. Multiple System Atrophy: Recent Developments and Future Perspectives. Mov Disord 2019; 34:1629-1642. [PMID: 31692132 DOI: 10.1002/mds.27894] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 09/03/2019] [Accepted: 09/15/2019] [Indexed: 02/06/2023] Open
Abstract
Multiple system atrophy (MSA) is a rare and fatal neurodegenerative disorder characterized by a variable combination of parkinsonism, cerebellar impairment, and autonomic dysfunction. The pathologic hallmark is the accumulation of aggregated α-synuclein in oligodendrocytes, forming glial cytoplasmic inclusions, which qualifies MSA as a synucleinopathy together with Parkinson's disease and dementia with Lewy bodies. The underlying pathogenesis is still not well understood. Some symptomatic treatments are available, whereas neuroprotection remains an urgent unmet treatment need. In this review, we critically appraise significant developments of the past decade with emphasis on pathogenesis, diagnosis, prognosis, and treatment development. We further discuss unsolved questions and highlight some perspectives. © 2019 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Wassilios G Meissner
- CRMR Atrophie Multisystématisée, CHU Bordeaux, Service de Neurologie, Bordeaux, France.,Institut des Maladies Neurodégénératives, Univ. de Bordeaux, Bordeaux, France.,CNRS, Institut des Maladies Neurodégénératives, Bordeaux, France.,Dept. of Medicine, University of Otago, Christchurch, New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Pierre-Olivier Fernagut
- Institut des Maladies Neurodégénératives, Univ. de Bordeaux, Bordeaux, France.,CNRS, Institut des Maladies Neurodégénératives, Bordeaux, France.,Laboratoire de Neurosciences Expérimentales et Cliniques, Université de Poitiers, Poitiers, France.,INSERM, Laboratoire de Neurosciences Expérimentales et Cliniques, Poitiers, France
| | - Benjamin Dehay
- Institut des Maladies Neurodégénératives, Univ. de Bordeaux, Bordeaux, France.,CNRS, Institut des Maladies Neurodégénératives, Bordeaux, France
| | - Patrice Péran
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Toulouse, France
| | - Anne Pavy-Le Traon
- Services de Neurologie, CRMR Atrophie Multisystématisée, Toulouse, Institut des Maladies Métaboliques et Cardiovasculaires, Toulouse, France
| | - Alexandra Foubert-Samier
- CRMR Atrophie Multisystématisée, CHU Bordeaux, Service de Neurologie, Bordeaux, France.,Institut des Maladies Neurodégénératives, Univ. de Bordeaux, Bordeaux, France.,Inserm, Bordeaux Population Health Research Center, Bordeaux University, Bordeaux, France
| | - Miguel Lopez Cuina
- Institut des Maladies Neurodégénératives, Univ. de Bordeaux, Bordeaux, France.,CNRS, Institut des Maladies Neurodégénératives, Bordeaux, France
| | - Erwan Bezard
- Institut des Maladies Neurodégénératives, Univ. de Bordeaux, Bordeaux, France.,CNRS, Institut des Maladies Neurodégénératives, Bordeaux, France
| | - François Tison
- CRMR Atrophie Multisystématisée, CHU Bordeaux, Service de Neurologie, Bordeaux, France.,Institut des Maladies Neurodégénératives, Univ. de Bordeaux, Bordeaux, France.,CNRS, Institut des Maladies Neurodégénératives, Bordeaux, France
| | - Olivier Rascol
- Services de Neurologie et de Pharmacologie Clinique, Centre de Reference AMS, Centre d'Investigation Clinique, Réseau NS-Park/FCRIN et Centre of Excellence for Neurodegenerative Disorders (COEN) de Toulouse, CHU de Toulouse, Toulouse 3 University, Toulouse, France
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