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Xiromerisiou G, Boura I, Barmpounaki E, Georgoulias P, Dardiotis E, Spanaki C, Valotassiou V. The Utilization and Impact of Dopamine Transporter Imaging in Diagnosing Movement Disorders at a Tertiary Care Hospital in Greece. Biomedicines 2025; 13:970. [PMID: 40299648 DOI: 10.3390/biomedicines13040970] [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: 03/06/2025] [Revised: 04/09/2025] [Accepted: 04/14/2025] [Indexed: 05/01/2025] Open
Abstract
Background/Objectives: The introduction of dopamine transporter scan (DaTscan) in clinical diagnostics has revolutionized the way clinicians approach movement disorders, offering valuable insights into presynaptic striatal dopaminergic deficits and revealing subjacent neurodegeneration. The aim of our study was to evaluate the impact of DaTscan on diagnostic decisions regarding movement disorders, particularly Parkinson's disease (PD) and atypical parkinsonian syndromes, under real-world circumstances in Greece. Methods: We retrospectively analyzed data from 360 patients who underwent a DaTscan examination between 2018 and 2023 at a tertiary hospital in Greece, including referrals from both movement disorder specialists and general neurologists, either hospital-based or in private practice. Demographics, primary referral symptoms, and both pre-scan and post-scan diagnoses were collected and analyzed. Results: The mean age in our cohort was 60 ± 13.5 years, and tremor was the leading referral symptom (40.8%). The initial diagnosis changed in nearly half of the cases (48.3%) following DaTscan. Significant shifts included transitions from an "Unclear" or "Dystonia" diagnosis to "Parkinson's disease" in 78.1% and 72.7% of patients, respectively. However, the particularly high concordance rates between pre-scan and post-scan diagnosis for "Vascular parkinsonism" (100%), "Parkinson's disease" (89.3%), and "Essential/Dystonic Tremor" (86%) suggest that the test may have been over-utilized or ordered beyond its intended indications. Conclusions: DaTscan markedly enhances diagnostic accuracy for movement disorders, particularly for general neurologists, addressing the complexities of overlapping clinical presentations. Continuous medical training is essential to ensure the cost-effective utilization of DaTscan in routine clinical practice; ongoing technological advancements will further refine and expand their applications, benefiting both patients and the broader medical community.
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Affiliation(s)
| | - Iro Boura
- School of Medicine, University of Crete, 70013 Heraklion, Greece
| | | | - Panagiotis Georgoulias
- Department of Nuclear Medicine, University General Hospital of Larisa, Faculty of Medicine, University of Thessaly, 41500 Larisa, Greece
| | - Efthimios Dardiotis
- Department of Neurology, University General Hospital of Larisa, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41500 Larisa, Greece
| | - Cleanthe Spanaki
- School of Medicine, University of Crete, 70013 Heraklion, Greece
| | - Varvara Valotassiou
- Department of Nuclear Medicine, University General Hospital of Larisa, Faculty of Medicine, University of Thessaly, 41500 Larisa, Greece
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Ronat L, Rainville P, Monchi O, Hanganu A. Classification of Parkinson's disease with and without dopaminergic deficiency based on non-motor symptoms and structural neuroimaging. Neurol Sci 2025:10.1007/s10072-025-08045-6. [PMID: 39969749 DOI: 10.1007/s10072-025-08045-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2024] [Accepted: 02/04/2025] [Indexed: 02/20/2025]
Abstract
The presence of non-motor symptoms (NMS) such as olfactive deficit or neuropsychiatric symptoms has been associated with the diagnosis of Parkinson's Disease (PD). NMS are also associated with different brain structural features underlying distinctive processes in PD. NMS has been poorly studied in patients with a PD-like clinical profile, showing Scans Without Evidence of Dopaminergic Deficit (SWEDD). This study proposes to compare classification models differentiating PD, SWEDD and Healthy Controls (HC) based on NMS and neurostructural factors. 683 participants (382 PD diagnosed in the last 2 years, 48 with SWEDD, 170 HC) from the PPMI dataset were compared based on available assessments. Each participant underwent an olfactive, neuropsychiatric and sleep assessment, and a 3T MRI. Brain volumes were extracted and standardized from each MRI. Classifications were based on logistic regressions using 5-fold cross-validation models combining different NMS and MRI data and determining their involvement in differentiation between patient subgroups (PD vs. SWEDD) or between patients and HC. NMS were significant factors in PD vs. SWEDD, PD vs. HC and SWEDD vs. HC classifiers, when considered alone or in combination with MRI data. No classification models were significantly different from chance based-on MRI, nor more accurate combining NMS and MRI when compared with models based on NMS only. These results highlight the importance of NMS in differentiating between PD and SWEDD, PD and HC, SWEDD and HC. However, classical imaging data such as cortical and subcortical volumetry seems insufficient to improve these classifications. Other imaging features such as connectivity could also be studied.
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Affiliation(s)
- Lucas Ronat
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, M7820, 4545 ch. Queen Mary, H3W 1W6, Montréal, QC, Canada.
- Faculté de Médecine, Département de Médecine, Université de Montréal, Montréal, QC, Canada.
| | - Pierre Rainville
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, M7820, 4545 ch. Queen Mary, H3W 1W6, Montréal, QC, Canada
- Faculté de médecine dentaire, Département de stomatologie, Université de Montréal, Montréal, QC, Canada
| | - Oury Monchi
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, M7820, 4545 ch. Queen Mary, H3W 1W6, Montréal, QC, Canada
- Faculté de médecine, Département de radiologie, radio-oncologie et médecine nucléaire, Université de Montréal, Montréal, QC, Canada
| | - Alexandru Hanganu
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, M7820, 4545 ch. Queen Mary, H3W 1W6, Montréal, QC, Canada.
- Faculté des Arts et des Sciences, Département de Psychologie, Université de Montréal, M7819, 4545 ch. Queen Mary, H3W 1W6, Montréal, QC, Canada.
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Marek K, Russell DS, Concha-Marambio L, Choi SH, Jennings D, Brumm MC, Coffey CS, Brown E, Seibyl J, Stern M, Soto C, Siderowf A. Evidence for alpha-synuclein aggregation in older individuals with hyposmia: a cross-sectional study. EBioMedicine 2025; 112:105567. [PMID: 39893720 PMCID: PMC11835612 DOI: 10.1016/j.ebiom.2025.105567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Revised: 12/22/2024] [Accepted: 01/10/2025] [Indexed: 02/04/2025] Open
Abstract
BACKGROUND Synuclein pathology in neurodegenerative diseases, such as Parkinson's disease (PD) and Dementia with Lewy bodies (DLB), begins years before motor or cognitive symptoms arise. Alpha-Synuclein seed amplification assays (α-syn SAA) may detect aggregated synuclein before symptoms occur. METHODS Data from the Parkinson Associated Risk Syndrome Study (PARS) have shown that individuals with hyposmia, without motor or cognitive symptoms, are enriched for dopamine transporter imaging (DAT) deficit and are at high risk to develop clinical parkinsonism or related synucleinopathies. α-syn aggregates in CSF were measured in 100 PARS participants using α-syn SAA. FINDINGS CSF α-syn SAA was positive in 48% (34/71) of hyposmic compared to 4% (1/25) of normosmic PARS participants (relative risk, 11.97; 95% CI, 1.73-82.95). Among α-syn SAA positive hyposmics 65% remained without a DAT deficit for up to four years follow-up. α-syn SAA positive hyposmics were at higher risk of having DAT deficit (12 of 34) compared to α-syn SAA negative hyposmics (4 of 37; relative risk, 3.26; 95% CI, 1.16-9.16), and 7 of 12 α-syn SAA positive hyposmics with DAT deficit developed symptoms consistent with synucleinopathy. INTERPRETATION Approximately fifty percent of PARS participants with hyposmia, easily detected using simple, widely available tests, have synuclein pathology detected by α-syn SAA. Approximately, one third (12 of 34) α-syn SAA positive hyposmic individuals also demonstrate DAT deficit. This study suggests a framework to investigate screening paradigms for synuclein pathology that could lead to design of therapeutic prevention studies in individuals without symptoms. FUNDING The study was funded by the U.S. Department of Defense, the Helen Graham Foundation and the Michael J. Fox Foundation for Parkinson's Research.
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Affiliation(s)
- Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, CT, USA.
| | - David S Russell
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | | | - Seung Ho Choi
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | | | - Michael C Brumm
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Christopher S Coffey
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Ethan Brown
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - John Seibyl
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Matthew Stern
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Claudio Soto
- Department of Neurology, University of Texas McGovern Medical School, Houston, TX, USA
| | - Andrew Siderowf
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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Ferrazzoli D, Ortelli P, Versace V, Stolz J, Dezi S, Vos P, Giladi N, Saltuari L, Sebastianelli L. Post-traumatic parkinsonism: The intricate twist between trauma, inflammation and neurodegeneration. A narrative review. J Neurol Sci 2024; 466:123242. [PMID: 39303348 DOI: 10.1016/j.jns.2024.123242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 09/10/2024] [Accepted: 09/15/2024] [Indexed: 09/22/2024]
Abstract
Post-traumatic Parkinsonism (PTP) is a complex neurological disorder that is often associated with the occurrence of a traumatic brain injury (TBI). PTP can occur either in the acute or chronic phase of TBI. There is still uncertainty about the mechanisms provoking PTP, which can be the result of the acute blast itself or secondary neurodegenerative process occurring months to years post the acute trauma. Currently there is an underestimation of the clinical importance of PTP and lack of specific and proven therapeutic interventions, both in the pharmacological and the neurorehabilitation field. This narrative review aims to summarize the actual knowledge about PTP in terms of its pathophysiology, clinical aspects, treatments and perspective of care in the neurorehabilitative setting.
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Affiliation(s)
- Davide Ferrazzoli
- Department of Neurorehabilitation, Hospital of Vipiteno (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Vipiteno-Sterzing, Italy.
| | - Paola Ortelli
- Department of Neurorehabilitation, Hospital of Vipiteno (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Vipiteno-Sterzing, Italy
| | - Viviana Versace
- Department of Neurorehabilitation, Hospital of Vipiteno (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Vipiteno-Sterzing, Italy; Department of Neurology, Neurocritical Care and Neurorehabilitation, Christian Doppler University Hospital, Centre for Cognitive Neuroscience, Paracelsus Medical University (PMU), Salzburg, Austria
| | - Jakob Stolz
- Department of Neurorehabilitation, Hospital of Vipiteno (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Vipiteno-Sterzing, Italy
| | - Sabrina Dezi
- Department of Neurorehabilitation, Hospital of Vipiteno (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Vipiteno-Sterzing, Italy
| | - Pieter Vos
- Department of Neurology, Slingeland Hospital, Doetinchem, the Netherlands
| | - Nir Giladi
- Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel; Department of Neurology, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Leopold Saltuari
- Department of Neurorehabilitation, Hospital of Vipiteno (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Vipiteno-Sterzing, Italy
| | - Luca Sebastianelli
- Department of Neurorehabilitation, Hospital of Vipiteno (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Vipiteno-Sterzing, Italy
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Hastings A, Cullinane P, Wrigley S, Revesz T, Morris HR, Dickson JC, Jaunmuktane Z, Warner TT, De Pablo-Fernández E. Neuropathologic Validation and Diagnostic Accuracy of Presynaptic Dopaminergic Imaging in the Diagnosis of Parkinsonism. Neurology 2024; 102:e209453. [PMID: 38759132 DOI: 10.1212/wnl.0000000000209453] [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: 05/19/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Degeneration of the presynaptic nigrostriatal dopaminergic system is one of the main biological features of Parkinson disease (PD), multiple system atrophy (MSA), progressive supranuclear palsy (PSP), and corticobasal degeneration (CBD), which can be measured using single-photon emission CT imaging for diagnostic purposes. Despite its widespread use in clinical practice and research, the diagnostic properties of presynaptic nigrostriatal dopaminergic (DAT) imaging in parkinsonism have never been evaluated against the diagnostic gold standard of neuropathology. The aim of this study was to evaluate the diagnostic parameters of DAT imaging compared with pathologic diagnosis in patients with parkinsonism. METHODS Retrospective cohort study of patients with DAT imaging for the investigation of a clinically uncertain parkinsonism with brain donation between 2010 and 2021 to the Queen Square Brain Bank (London). Patients with DAT imaging for investigation of pure ataxia or dementia syndromes without parkinsonism were excluded. Those with a pathologic diagnosis of PD, MSA, PSP, or CBD were considered presynaptic dopaminergic parkinsonism, and other pathologies were considered postsynaptic for the analysis. DAT imaging was performed in routine clinical practice and visually classified by hospital nuclear medicine specialists as normal or abnormal. The results were correlated with neuropathologic diagnosis to calculate diagnostic accuracy parameters for the diagnosis of presynaptic dopaminergic parkinsonism. RESULTS All of 47 patients with PD, 41 of 42 with MSA, 68 of 73 with PSP, and 6 of 10 with CBD (sensitivity 100%, 97.6%, 93.2%, and 60%, respectively) had abnormal presynaptic dopaminergic imaging. Eight of 17 patients with presumed postsynaptic parkinsonism had abnormal scans (specificity 52.9%). DISCUSSION DAT imaging has very high sensitivity and negative predictive value for the diagnosis of presynaptic dopaminergic parkinsonism, particularly for PD. However, patients with CBD, and to a lesser extent PSP (of various phenotypes) and MSA (with predominant ataxia), can show normal DAT imaging. A range of other neurodegenerative disorders may have abnormal DAT scans with low specificity in the differential diagnosis of parkinsonism. DAT imaging is a useful diagnostic tool in the differential diagnosis of parkinsonism, although clinicians should be aware of its diagnostic properties and limitations. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that DAT imaging does not accurately distinguish between presynaptic dopaminergic parkinsonism and non-presynaptic dopaminergic parkinsonism.
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Affiliation(s)
- Alexandra Hastings
- From the Queen Square Brain Bank for Neurological Disorders (A.H., P.C., S.W., T.R., Z.J., T.T.W., E.D.P.-F.) and Department of Clinical and Movement Neurosciences (H.R.M.), University College London Queen Square Institute of Neurology; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals NHS Trust, UK
| | - Patrick Cullinane
- From the Queen Square Brain Bank for Neurological Disorders (A.H., P.C., S.W., T.R., Z.J., T.T.W., E.D.P.-F.) and Department of Clinical and Movement Neurosciences (H.R.M.), University College London Queen Square Institute of Neurology; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals NHS Trust, UK
| | - Sarah Wrigley
- From the Queen Square Brain Bank for Neurological Disorders (A.H., P.C., S.W., T.R., Z.J., T.T.W., E.D.P.-F.) and Department of Clinical and Movement Neurosciences (H.R.M.), University College London Queen Square Institute of Neurology; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals NHS Trust, UK
| | - Tamas Revesz
- From the Queen Square Brain Bank for Neurological Disorders (A.H., P.C., S.W., T.R., Z.J., T.T.W., E.D.P.-F.) and Department of Clinical and Movement Neurosciences (H.R.M.), University College London Queen Square Institute of Neurology; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals NHS Trust, UK
| | - Huw R Morris
- From the Queen Square Brain Bank for Neurological Disorders (A.H., P.C., S.W., T.R., Z.J., T.T.W., E.D.P.-F.) and Department of Clinical and Movement Neurosciences (H.R.M.), University College London Queen Square Institute of Neurology; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals NHS Trust, UK
| | - John C Dickson
- From the Queen Square Brain Bank for Neurological Disorders (A.H., P.C., S.W., T.R., Z.J., T.T.W., E.D.P.-F.) and Department of Clinical and Movement Neurosciences (H.R.M.), University College London Queen Square Institute of Neurology; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals NHS Trust, UK
| | - Zane Jaunmuktane
- From the Queen Square Brain Bank for Neurological Disorders (A.H., P.C., S.W., T.R., Z.J., T.T.W., E.D.P.-F.) and Department of Clinical and Movement Neurosciences (H.R.M.), University College London Queen Square Institute of Neurology; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals NHS Trust, UK
| | - Thomas T Warner
- From the Queen Square Brain Bank for Neurological Disorders (A.H., P.C., S.W., T.R., Z.J., T.T.W., E.D.P.-F.) and Department of Clinical and Movement Neurosciences (H.R.M.), University College London Queen Square Institute of Neurology; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals NHS Trust, UK
| | - Eduardo De Pablo-Fernández
- From the Queen Square Brain Bank for Neurological Disorders (A.H., P.C., S.W., T.R., Z.J., T.T.W., E.D.P.-F.) and Department of Clinical and Movement Neurosciences (H.R.M.), University College London Queen Square Institute of Neurology; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals NHS Trust, UK
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Quintas S, Sanles‐Falagan R, Berbís MÁ. I 123-FP-CIT (DaTSCAN) SPECT beyond the Most Common Causes of Parkinsonism: A Systematic Review. Mov Disord Clin Pract 2024; 11:613-625. [PMID: 38693679 PMCID: PMC11145110 DOI: 10.1002/mdc3.14055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 01/23/2024] [Accepted: 03/30/2024] [Indexed: 05/03/2024] Open
Abstract
BACKGROUND As the diagnosis of Parkinson's disease (PD) is fundamentally clinical, the usefulness of ioflupane (123I) single-photon emission computed tomography (SPECT) or DaTSCAN as a diagnostic tool has been a matter of debate for years. The performance of DaTSCAN is generally recommended in the follow-up of patients with a clinically uncertain diagnosis, especially in those with a suspected essential tremor, drug-induced parkinsonism, or vascular parkinsonism. However, there is a dearth of DaTSCAN findings regarding neurodegenerative parkinsonisms besides PD and atypical parkinsonisms. To date, a specific nigrostriatal dopamine uptake pattern that would help differentiate PD from the most frequent atypical parkinsonisms is yet to be described. This fact is further complicated by the possible visualization of abnormalities in the uptake pattern in patients with rarer neurodegenerative parkinsonisms. OBJECTIVES We aimed to summarize the current literature regarding DaTSCAN findings in patients with rare neurodegenerative parkinsonisms. METHODS The PubMed database was systematically screened for studies in English or Spanish up to October 15, 2023, using search terms "DaTSCAN", "ioflupane", "DaT-SPECT", "123I-FP-CIT SPECT", "dopamine transporter imaging", and "[123I] FP-CIT SPECT". Duplicated publications and studies regarding PD, atypical parkinsonisms, dystonia-parkinsonism, essential tremor, and parkinsonism due to non-degenerative causes were excluded. RESULTS The obtained results were reviewed and summarized, including DaTSCAN findings in fragile X-associated tremor/ataxia syndrome, prion diseases, Huntington's disease, spinocerebellar ataxia, hereditary spastic paraparesis, metabolic disorders, and other diseases (anti-IgLON5 disease, ring chromosome 20 syndrome, chorea-acanthocytosis, and neuronal ceroid lipofuscinosis). CONCLUSIONS This review highlights the need to determine in the future the utility and cost-effectiveness of DaTSCAN, both as a diagnostic and a prognostic tool, in patients with parkinsonian symptoms in rare neurodegenerative diseases.
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Affiliation(s)
- Sonia Quintas
- Department of NeurologyLa Princesa University HospitalMadridSpain
| | | | - M. Álvaro Berbís
- Department of RadiologyHT Médica, San Juan de Dios HospitalCórdobaSpain
- Faculty of MedicineAutonomous University of MadridMadridSpain
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Zeuner KE, Schwingenschuh P. [Additional functional symptoms in Parkinson's disease and tremor syndromes]. DER NERVENARZT 2024; 95:525-531. [PMID: 38180511 DOI: 10.1007/s00115-023-01594-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/08/2023] [Indexed: 01/06/2024]
Abstract
Patients with Parkinson's Disease or a tremor syndrome may present with additional functional movement disorders. The differential diagnosis is particularly difficult. In some cases, functional symptoms occur either before the manifestation of the organic disease or can emerge as an additional symptom after Parkinson's disease or tremor became apparent. In patients with Parkinson's disease the prevalence for additional functional symptoms is 7 %. In the case that patients with Parkinson's diseases have one side that is more severely affected, additional functional motor symptoms such as functional rest tremor also occur on that same, predominantly affected side. Functional gait disorders occur frequently. Clinically, patients appear notably slow in automatized, daily tasks. Their speech is more whispering than hypophonic, bradykinesia during finger tapping manifest without a decrement. The Dopamintransporterszintigraphy (123) I FP-CIT SPECT; DaTSCANTM) may be helpful to differentiate between functional Parkinsonism and Parkinson's disease. Functional tremor in patients with an organic tremor syndrome is diagnosed with the same distraction techniques as in solely functional tremor. This includes cognitive, motor, and suggestive distraction maneuvers. In some cases, additional neurophysiological investigations such as accelerometry are useful for the differential diagnosis. It is most important to identify patients with additional functional symptoms in non-functional movement disorders, because the therapeutic approach differs and a multi professional team is required to initiate effective treatment strategies.
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Affiliation(s)
- Kirsten E Zeuner
- Klinik für Neurologie, Universitätsklinikum Schleswig-Holstein, Christian-Albrechts-Universität Kiel, Arnold-Heller-Str. 3 Haus 41, 24105, Kiel, Deutschland.
| | - Petra Schwingenschuh
- Universitätsklinik für Neurologie, Medizinische Universität Graz, Graz, Österreich
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Sasaki S. Long-term follow-up study of SWEDD patients with mild parkinsonian signs. BMJ Neurol Open 2024; 6:e000600. [PMID: 38665250 PMCID: PMC11043762 DOI: 10.1136/bmjno-2023-000600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 03/01/2024] [Indexed: 04/28/2024] Open
Abstract
Background Whether scan without evidence of dopaminergic deficit (SWEDD) can be a reliable indication of a clinical entity of Parkinson's disease (PD) is controversial. Objective To evaluate the proportion of SWEDD patients with mild parkinsonian signs who are classifiable as idiopathic PD. Methods 32 SWEDD patients with unilateral or asymmetric finger tremor with a rest component and unilateral rigidity (Unified Parkinson's Disease Rating Scale (UPDRS)-III scores of 3-5) were enrolled. They underwent longitudinal examination by UPDRS-III, Mini-Mental State Examination (MMSE), smell test and 123I-FP-CIT SPECT (DaTSCAN) at baseline (first DaTSCAN) and at follow-up (second DaTSCAN) after 27-83 months. Age-matched controls (n=112) also underwent MMSE and smell test. Results At follow-up, 21 of 32 SWEDD patients (65.6%) showed significantly reduced specific binding ratios below the normal range, that is, positive DaTSCAN, sometimes with increased asymmetry index (n=11). Among these 21 patients, the mean (SD) UPDRS-III score at follow-up was significantly higher than that at baseline (5.5 (2.2) vs 4.0 (0.5)) (p=0.003). The mean (SD) MMSE scores in SWEDD patients (n=32) at baseline and follow-up were not significantly different compared with those in controls. Olfactory function both in SWEDD patients with positive and negative DaTSCAN was significantly impaired versus controls (p<0.001), although no significant difference was recognised between patients with positive (n=21) and negative (n=11) second DaTSCAN. Conclusion The majority of SWEDD patients with mild rest tremor and rigidity could be classified as having idiopathic PD in this longitudinal and long-term follow-up study.
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Panyakaew P, Phuenpathom W, Bhidayasiri R, Hallett M. Bedside clinical assessment of patients with common upper limb tremor and algorithmic approach. ASIAN BIOMED 2024; 18:37-52. [PMID: 38708334 PMCID: PMC11063083 DOI: 10.2478/abm-2024-0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
The diagnostic approach for patients with tremor is challenging due to the complex and overlapping phenotypes among tremor syndromes. The first step in the evaluation of tremor is to identify the tremulous movement and exclude the tremor mimics. The second step is to classify the tremor syndrome based on the characteristics of tremor from historical clues and focused examination (Axis 1). Comprehensive tremor examinations involve the assessment of tremor in different conditions (rest, action or mixed, position or task-specific), distribution of tremor (upper limb, lower limb, head, jaw), positive signs for functional tremor (FT) if suspected (distractibility, entrainment, co-contraction), and associated neurological signs including parkinsonism, dystonic posture, cerebellar/brainstem signs, neuropathy, and cognitive impairment. A pivotal feature in this step is to determine any distinct feature of a specific isolated or combined tremor syndrome. In this review, we propose an algorithm to assess upper limb tremors. Ancillary testing should be performed if clinical evaluation is unclear. The choice of investigation depends on the types of tremors considered to narrow down the spectrum of etiology (Axis 2). Laboratory blood tests are considered for acute onset and acute worsening of tremors, while structural neuroimaging is indicated in unilateral tremors with acute onset, nonclassical presentations, and a combination of neurological symptoms. Neurophysiological study is an important tool that aids in distinguishing between tremor and myoclonus, etiology of tremor and document specific signs of FT. Treatment is mainly symptomatic based depending on the etiology of the tremor and the patient's disabilities.
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Affiliation(s)
- Pattamon Panyakaew
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok10330, Thailand
- Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok10330, Thailand
| | - Warongporn Phuenpathom
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok10330, Thailand
| | - Roongroj Bhidayasiri
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok10330, Thailand
- Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok10330, Thailand
- The Academy of Science, The Royal Society of Thailand, Bangkok10330, Thailand
| | - Mark Hallett
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892-1428, USA
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Boccalini C, Nicastro N, Perani D, Garibotto V. Distinctive clinical and imaging trajectories in SWEDD and Parkinson's disease patients. Neuroimage Clin 2024; 42:103592. [PMID: 38493585 PMCID: PMC10958480 DOI: 10.1016/j.nicl.2024.103592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 02/16/2024] [Accepted: 03/13/2024] [Indexed: 03/19/2024]
Abstract
A proportion of patients clinically diagnosed with Parkinson's disease (PD) can have a 123I-FP-CIT-SPECT scan without evidence of dopaminergic deficit (SWEDD), generating a debate about the underlying biological mechanisms. This study investigated differences in clinical features, 123I-FP-CIT binding, molecular connectivity, as well as clinical and imaging progression between SWEDD and PD patients. We included 36 SWEDD, 49 de novo idiopathic PD, and 49 healthy controls with 123I-FP-CIT-SPECT from the Parkinson's Progression Markers Initiative. Clinical and imaging 2-year follow-ups were available for 27 SWEDD and 40 PD. Regional-based and voxel-wise analysis assessed dopaminergic integrity in dorsal and ventral striatal, as well as extrastriatal regions, at baseline and follow-up. Molecular connectivity analyses evaluated dopaminergic pathways. Spatial correlation analyses tested whether 123I-FP-CIT-binding alterations would also pertain to the serotoninergic system. SWEDD and PD patients showed comparable symptoms at baseline, except for hyposmia, which was more severe for PD. PD showed significantly lower striatal and extrastriatal 123I-FP-CIT-binding compared to SWEDD and controls. SWEDD exhibited lower binding than controls in striatal regions, insula, and olfactory cortex. Both PD and SWEDD showed extensive altered connectivity of dopaminergic pathways, however, with major impairment in the mesocorticolimbic system for SWEDD. Motor symptoms and dopaminergic deficits worsened after 2 years for PD only. The limited dopaminergic impairment and its stability over time observed for SWEDD, as well as the presence of extrastriatal 123I-FP-CIT binding alterations and prevalent mesocorticolimbic connectivity impairment, suggest other mechanisms contributing to SWEDD pathophysiology.
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Affiliation(s)
- Cecilia Boccalini
- Vita-Salute San Raffaele University, Milan, Italy; IRCCS San Raffaele Scientific Institute, Milan, Italy; Laboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocenter and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Nicolas Nicastro
- Division of Neurorehabilitation, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
| | - Daniela Perani
- Vita-Salute San Raffaele University, Milan, Italy; IRCCS San Raffaele Scientific Institute, Milan, Italy; Nuclear Medicine Unit, San Raffaele Hospital, Milan, Italy
| | - Valentina Garibotto
- Laboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocenter and Faculty of Medicine, University of Geneva, Geneva, Switzerland; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland; CIBM Center for Biomedical Imaging, Geneva, Switzerland.
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11
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Mercer MK, Revels JW, Blacklock LC, Banks KP, Johnson LS, Lewis DH, Kuo PH, Wilson S, Elojeimy S. Practical Overview of 123I-Ioflupane Imaging in Parkinsonian Syndromes. Radiographics 2024; 44:e230133. [PMID: 38236751 DOI: 10.1148/rg.230133] [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: 01/23/2024]
Abstract
Parkinsonian syndromes are a heterogeneous group of progressive neurodegenerative disorders involving the nigrostriatal dopaminergic pathway and are characterized by a wide spectrum of motor and nonmotor symptoms. These syndromes are quite common and can profoundly impact the lives of patients and their families. In addition to classic Parkinson disease, parkinsonian syndromes include multiple additional disorders known collectively as Parkinson-plus syndromes or atypical parkinsonism. These are characterized by the classic parkinsonian motor symptoms with additional distinguishing clinical features. Dopamine transporter SPECT has been developed as a diagnostic tool to assess the levels of dopamine transporters in the striatum. This imaging assessment, which uses iodine 123 (123I) ioflupane, can be useful to differentiate parkinsonian syndromes caused by nigrostriatal degeneration from other clinical mimics such as essential tremor or psychogenic tremor. Dopamine transporter imaging plays a crucial role in diagnosing parkinsonian syndromes, particularly in patients who do not clearly fulfill the clinical criteria for diagnosis. Diagnostic clarification can allow early treatment in appropriate patients and avoid misdiagnosis. At present, only the qualitative interpretation of dopamine transporter SPECT is approved by the U.S. Food and Drug Administration, but quantitative interpretation is often used to supplement qualitative interpretation. The authors provide an overview of patient preparation, common imaging findings, and potential pitfalls that radiologists and nuclear medicine physicians should know when performing and interpreting dopamine transporter examinations. Alternatives to 123I-ioflupane imaging for the evaluation of nigrostriatal degeneration are also briefly discussed. ©RSNA, 2024 Test Your Knowledge questions for this article are available in the supplemental material. See the invited commentary by Intenzo and Colarossi in this issue.
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Affiliation(s)
- Megan K Mercer
- From the Department of Radiology and Radiological Science, Medical University of South Carolina, 96 Jonathan Lucas St, CSB 211N, MSC 323, Charleston, SC 29425 (M.K.M., S.E.); Department of Radiology, New York University Langone Health Long Island, New York, NY (J.W.R.); Department of Radiology, University of New Mexico, Albuquerque, NM (L.C.B.); Department of Radiology, Brooke Army Medical Center, San Antonio, Tex (K.P.B.); Department of Radiology, Eastern Virginia Medical School, Norfolk, Va (L.S.J., S.W.); Department of Radiology, University of Washington, Seattle, Wash (D.H.L.); and Departments of Medical Imaging, Medicine, and Biomedical Engineering, University of Arizona, Tucson, Ariz (P.H.K.)
| | - Jonathan W Revels
- From the Department of Radiology and Radiological Science, Medical University of South Carolina, 96 Jonathan Lucas St, CSB 211N, MSC 323, Charleston, SC 29425 (M.K.M., S.E.); Department of Radiology, New York University Langone Health Long Island, New York, NY (J.W.R.); Department of Radiology, University of New Mexico, Albuquerque, NM (L.C.B.); Department of Radiology, Brooke Army Medical Center, San Antonio, Tex (K.P.B.); Department of Radiology, Eastern Virginia Medical School, Norfolk, Va (L.S.J., S.W.); Department of Radiology, University of Washington, Seattle, Wash (D.H.L.); and Departments of Medical Imaging, Medicine, and Biomedical Engineering, University of Arizona, Tucson, Ariz (P.H.K.)
| | - Lisa C Blacklock
- From the Department of Radiology and Radiological Science, Medical University of South Carolina, 96 Jonathan Lucas St, CSB 211N, MSC 323, Charleston, SC 29425 (M.K.M., S.E.); Department of Radiology, New York University Langone Health Long Island, New York, NY (J.W.R.); Department of Radiology, University of New Mexico, Albuquerque, NM (L.C.B.); Department of Radiology, Brooke Army Medical Center, San Antonio, Tex (K.P.B.); Department of Radiology, Eastern Virginia Medical School, Norfolk, Va (L.S.J., S.W.); Department of Radiology, University of Washington, Seattle, Wash (D.H.L.); and Departments of Medical Imaging, Medicine, and Biomedical Engineering, University of Arizona, Tucson, Ariz (P.H.K.)
| | - Kevin P Banks
- From the Department of Radiology and Radiological Science, Medical University of South Carolina, 96 Jonathan Lucas St, CSB 211N, MSC 323, Charleston, SC 29425 (M.K.M., S.E.); Department of Radiology, New York University Langone Health Long Island, New York, NY (J.W.R.); Department of Radiology, University of New Mexico, Albuquerque, NM (L.C.B.); Department of Radiology, Brooke Army Medical Center, San Antonio, Tex (K.P.B.); Department of Radiology, Eastern Virginia Medical School, Norfolk, Va (L.S.J., S.W.); Department of Radiology, University of Washington, Seattle, Wash (D.H.L.); and Departments of Medical Imaging, Medicine, and Biomedical Engineering, University of Arizona, Tucson, Ariz (P.H.K.)
| | - Lester S Johnson
- From the Department of Radiology and Radiological Science, Medical University of South Carolina, 96 Jonathan Lucas St, CSB 211N, MSC 323, Charleston, SC 29425 (M.K.M., S.E.); Department of Radiology, New York University Langone Health Long Island, New York, NY (J.W.R.); Department of Radiology, University of New Mexico, Albuquerque, NM (L.C.B.); Department of Radiology, Brooke Army Medical Center, San Antonio, Tex (K.P.B.); Department of Radiology, Eastern Virginia Medical School, Norfolk, Va (L.S.J., S.W.); Department of Radiology, University of Washington, Seattle, Wash (D.H.L.); and Departments of Medical Imaging, Medicine, and Biomedical Engineering, University of Arizona, Tucson, Ariz (P.H.K.)
| | - David H Lewis
- From the Department of Radiology and Radiological Science, Medical University of South Carolina, 96 Jonathan Lucas St, CSB 211N, MSC 323, Charleston, SC 29425 (M.K.M., S.E.); Department of Radiology, New York University Langone Health Long Island, New York, NY (J.W.R.); Department of Radiology, University of New Mexico, Albuquerque, NM (L.C.B.); Department of Radiology, Brooke Army Medical Center, San Antonio, Tex (K.P.B.); Department of Radiology, Eastern Virginia Medical School, Norfolk, Va (L.S.J., S.W.); Department of Radiology, University of Washington, Seattle, Wash (D.H.L.); and Departments of Medical Imaging, Medicine, and Biomedical Engineering, University of Arizona, Tucson, Ariz (P.H.K.)
| | - Phillip H Kuo
- From the Department of Radiology and Radiological Science, Medical University of South Carolina, 96 Jonathan Lucas St, CSB 211N, MSC 323, Charleston, SC 29425 (M.K.M., S.E.); Department of Radiology, New York University Langone Health Long Island, New York, NY (J.W.R.); Department of Radiology, University of New Mexico, Albuquerque, NM (L.C.B.); Department of Radiology, Brooke Army Medical Center, San Antonio, Tex (K.P.B.); Department of Radiology, Eastern Virginia Medical School, Norfolk, Va (L.S.J., S.W.); Department of Radiology, University of Washington, Seattle, Wash (D.H.L.); and Departments of Medical Imaging, Medicine, and Biomedical Engineering, University of Arizona, Tucson, Ariz (P.H.K.)
| | - Shannon Wilson
- From the Department of Radiology and Radiological Science, Medical University of South Carolina, 96 Jonathan Lucas St, CSB 211N, MSC 323, Charleston, SC 29425 (M.K.M., S.E.); Department of Radiology, New York University Langone Health Long Island, New York, NY (J.W.R.); Department of Radiology, University of New Mexico, Albuquerque, NM (L.C.B.); Department of Radiology, Brooke Army Medical Center, San Antonio, Tex (K.P.B.); Department of Radiology, Eastern Virginia Medical School, Norfolk, Va (L.S.J., S.W.); Department of Radiology, University of Washington, Seattle, Wash (D.H.L.); and Departments of Medical Imaging, Medicine, and Biomedical Engineering, University of Arizona, Tucson, Ariz (P.H.K.)
| | - Saeed Elojeimy
- From the Department of Radiology and Radiological Science, Medical University of South Carolina, 96 Jonathan Lucas St, CSB 211N, MSC 323, Charleston, SC 29425 (M.K.M., S.E.); Department of Radiology, New York University Langone Health Long Island, New York, NY (J.W.R.); Department of Radiology, University of New Mexico, Albuquerque, NM (L.C.B.); Department of Radiology, Brooke Army Medical Center, San Antonio, Tex (K.P.B.); Department of Radiology, Eastern Virginia Medical School, Norfolk, Va (L.S.J., S.W.); Department of Radiology, University of Washington, Seattle, Wash (D.H.L.); and Departments of Medical Imaging, Medicine, and Biomedical Engineering, University of Arizona, Tucson, Ariz (P.H.K.)
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12
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Simuni T, Chahine LM, Poston K, Brumm M, Buracchio T, Campbell M, Chowdhury S, Coffey C, Concha-Marambio L, Dam T, DiBiaso P, Foroud T, Frasier M, Gochanour C, Jennings D, Kieburtz K, Kopil CM, Merchant K, Mollenhauer B, Montine T, Nudelman K, Pagano G, Seibyl J, Sherer T, Singleton A, Stephenson D, Stern M, Soto C, Tanner CM, Tolosa E, Weintraub D, Xiao Y, Siderowf A, Dunn B, Marek K. A biological definition of neuronal α-synuclein disease: towards an integrated staging system for research. Lancet Neurol 2024; 23:178-190. [PMID: 38267190 DOI: 10.1016/s1474-4422(23)00405-2] [Citation(s) in RCA: 208] [Impact Index Per Article: 208.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 09/27/2023] [Accepted: 10/06/2023] [Indexed: 01/26/2024]
Abstract
Parkinson's disease and dementia with Lewy bodies are currently defined by their clinical features, with α-synuclein pathology as the gold standard to establish the definitive diagnosis. We propose that, given biomarker advances enabling accurate detection of pathological α-synuclein (ie, misfolded and aggregated) in CSF using the seed amplification assay, it is time to redefine Parkinson's disease and dementia with Lewy bodies as neuronal α-synuclein disease rather than as clinical syndromes. This major shift from a clinical to a biological definition of Parkinson's disease and dementia with Lewy bodies takes advantage of the availability of tools to assess the gold standard for diagnosis of neuronal α-synuclein (n-αsyn) in human beings during life. Neuronal α-synuclein disease is defined by the presence of pathological n-αsyn species detected in vivo (S; the first biological anchor) regardless of the presence of any specific clinical syndrome. On the basis of this definition, we propose that individuals with pathological n-αsyn aggregates are at risk for dopaminergic neuronal dysfunction (D; the second biological anchor). Our biological definition establishes a staging system, the neuronal α-synuclein disease integrated staging system (NSD-ISS), rooted in the biological anchors (S and D) and the degree of functional impairment caused by clinical signs or symptoms. Stages 0-1 occur without signs or symptoms and are defined by the presence of pathogenic variants in the SNCA gene (stage 0), S alone (stage 1A), or S and D (stage 1B). The presence of clinical manifestations marks the transition to stage 2 and beyond. Stage 2 is characterised by subtle signs or symptoms but without functional impairment. Stages 2B-6 require both S and D and stage-specific increases in functional impairment. A biological definition of neuronal α-synuclein disease and an NSD-ISS research framework are essential to enable interventional trials at early disease stages. The NSD-ISS will evolve to include the incorporation of data-driven definitions of stage-specific functional anchors and additional biomarkers as they emerge and are validated. Presently, the NSD-ISS is intended for research use only; its application in the clinical setting is premature and inappropriate.
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Affiliation(s)
- Tanya Simuni
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | - Lana M Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kathleen Poston
- Department of Neurology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Michael Brumm
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Teresa Buracchio
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Michelle Campbell
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Sohini Chowdhury
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Christopher Coffey
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | | | | | - Peter DiBiaso
- Patient Advisory Council, New York, NY, USA; Clinical Solutions and Strategic Partnerships, WCG Clinical, Princeton, NJ, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | - Mark Frasier
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Caroline Gochanour
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | | | - Karl Kieburtz
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Catherine M Kopil
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Kalpana Merchant
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center Göttingen and Paracelsus-Elena-Klinik, Kassel, Germany
| | - Thomas Montine
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Kelly Nudelman
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | | | - John Seibyl
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Todd Sherer
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Andrew Singleton
- National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Diane Stephenson
- Critical Path for Parkinson's, Critical Path Institute, Tucson, AZ, USA
| | - Matthew Stern
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Claudio Soto
- Amprion, San Diego, CA, USA; Mitchell Center for Alzheimer's Disease and Related Brain Disorders, Department of Neurology, University of Texas McGovern Medical School at Houston, Houston, TX, USA
| | - Caroline M Tanner
- Movement Disorders and Neuromodulation Center, Department of Neurology, Weill Institute for Neuroscience, University of California, San Francisco, CA, USA; Parkinson's Disease Research Education and Clinical Center, San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA
| | - Eduardo Tolosa
- Parkinson's Disease and Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas, Hospital Clínic, IDIBAPS, Universitat de Barcelona, Barcelona, Spain
| | - Daniel Weintraub
- University of Pennsylvania and the Parkinson's Disease and Mental Illness Research, Education and Clinical Centers, Philadelphia Veterans Affairs Medical Center Philadelphia, PA, USA
| | - Yuge Xiao
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Andrew Siderowf
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Billy Dunn
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
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13
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Siderowf A, Concha-Marambio L, Marek K, Soto C. α-synuclein seed amplification in Parkinson's disease - Authors' reply. Lancet Neurol 2023; 22:985-986. [PMID: 37863605 DOI: 10.1016/s1474-4422(23)00371-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 09/22/2023] [Indexed: 10/22/2023]
Affiliation(s)
- Andrew Siderowf
- Department of Neurology, Penn Perelman School of Medicine, Philadelphia, PA 19107, USA.
| | | | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Claudio Soto
- Department of Neurology, University of Texas McGovern Medical School at Houston, TX, USA
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14
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Oh M, Oh SJ, Lee SJ, Oh JS, Chung SJ, Kim JS. Diagnostic accuracy of 18F-FP-CIT PET for clinically uncertain Parkinsonian syndrome. Sci Rep 2023; 13:15069. [PMID: 37700061 PMCID: PMC10497584 DOI: 10.1038/s41598-023-42135-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 09/05/2023] [Indexed: 09/14/2023] Open
Abstract
18F-FP-CIT is a high-resolution imaging marker of nigrostriatal neuronal integrity, differentiating Parkinsonism with loss of dopaminergic terminals (presynaptic Parkinsonian syndrome [PS]) from Parkinsonism without nigrostriatal degeneration (non-PS). We assessed the diagnostic accuracy of 18F-FP-CIT PET in patients with clinically uncertain PS (CUPS) at the first visit. Among the 272 patients who underwent 18F-FP-CIT PET imaging at the first visit between September 2008 and July 2012, 111 had CUPS (age, 62.6 ± 10.5 y; male:female, 45:66; symptom duration, 13.1 ± 8.8 months). Uncertainty criteria included only one of the three cardinal signs of Parkinsonism, two signs without bradykinesia, or atypical signs. The baseline clinical and 18F-FP-CIT PET imaging diagnostic accuracy was compared with the accuracy of clinical diagnosis after > 2-year follow-up. Nuclear medicine physicians assessed the 18F-FP-CIT PET images visually. Focal dopamine transporter binding deficit in the posterior putamen was considered PS. Bilateral symmetric striatum without focal deficit, suggesting normal 18F-FP-CIT PET, and focal deficits elsewhere in the striatum suggesting vascular Parkinsonism were considered non-PS. Seventy-nine patients had PS, and 32 did not. Baseline clinical diagnosis included PS in 45 patients, non-PS in 24, and inconclusive in 42. Among patients in whom initial clinical diagnosis (PS or non-PS) was possible, the sensitivity, specificity, and accuracy of the baseline clinical and 18F-FP-CIT PET imaging diagnoses were 54.4, 50.0, and 53.2%, and 98.7, 100, and 99.1%, respectively. The respective positive and negative predictive values were 95.6 and 66.7%, and 100 and 97.0%. Among those with initially inconclusive diagnosis, 64.2% were eventually diagnosed with PS while 35.7% were diagnosed with non-PS. The final clinical diagnosis of these patients all matched those made by 18F-FP-CIT PET imaging, except in one patient with scan without evidence of dopaminergic deficit (SWEDD). 18F-FP-CIT PET diagnosis was more accurate than clinical diagnosis, reducing the false-negative and inconclusive clinical diagnosis rates at baseline in patients with CUPS.
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Affiliation(s)
- Minyoung Oh
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Korea
| | - Seung Jun Oh
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Korea
| | - Sang Ju Lee
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Korea
| | - Jungsu S Oh
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Korea
| | - Sun Ju Chung
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jae Seung Kim
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Korea.
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15
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Siderowf A, Concha-Marambio L, Lafontant DE, Farris CM, Ma Y, Urenia PA, Nguyen H, Alcalay RN, Chahine LM, Foroud T, Galasko D, Kieburtz K, Merchant K, Mollenhauer B, Poston KL, Seibyl J, Simuni T, Tanner CM, Weintraub D, Videnovic A, Choi SH, Kurth R, Caspell-Garcia C, Coffey CS, Frasier M, Oliveira LMA, Hutten SJ, Sherer T, Marek K, Soto C. Assessment of heterogeneity among participants in the Parkinson's Progression Markers Initiative cohort using α-synuclein seed amplification: a cross-sectional study. Lancet Neurol 2023; 22:407-417. [PMID: 37059509 PMCID: PMC10627170 DOI: 10.1016/s1474-4422(23)00109-6] [Citation(s) in RCA: 302] [Impact Index Per Article: 151.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 03/01/2023] [Accepted: 03/07/2023] [Indexed: 04/16/2023]
Abstract
BACKGROUND Emerging evidence shows that α-synuclein seed amplification assays (SAAs) have the potential to differentiate people with Parkinson's disease from healthy controls. We used the well characterised, multicentre Parkinson's Progression Markers Initiative (PPMI) cohort to further assess the diagnostic performance of the α-synuclein SAA and to examine whether the assay identifies heterogeneity among patients and enables the early identification of at-risk groups. METHODS This cross-sectional analysis is based on assessments done at enrolment for PPMI participants (including people with sporadic Parkinson's disease from LRRK2 and GBA variants, healthy controls, prodromal individuals with either rapid eye movement sleep behaviour disorder (RBD) or hyposmia, and non-manifesting carriers of LRRK2 and GBA variants) from 33 participating academic neurology outpatient practices worldwide (in Austria, Canada, France, Germany, Greece, Israel, Italy, the Netherlands, Norway, Spain, the UK, and the USA). α-synuclein SAA analysis of CSF was performed using previously described methods. We assessed the sensitivity and specificity of the α-synuclein SAA in participants with Parkinson's disease and healthy controls, including subgroups based on genetic and clinical features. We established the frequency of positive α-synuclein SAA results in prodromal participants (RBD and hyposmia) and non-manifesting carriers of genetic variants associated with Parkinson's disease, and compared α-synuclein SAA to clinical measures and other biomarkers. We used odds ratio estimates with 95% CIs to measure the association between α-synuclein SAA status and categorical measures, and two-sample 95% CIs from the resampling method to assess differences in medians between α-synuclein SAA positive and negative participants for continuous measures. A linear regression model was used to control for potential confounders such as age and sex. FINDINGS This analysis included 1123 participants who were enrolled between July 7, 2010, and July 4, 2019. Of these, 545 had Parkinson's disease, 163 were healthy controls, 54 were participants with scans without evidence of dopaminergic deficit, 51 were prodromal participants, and 310 were non-manifesting carriers. Sensitivity for Parkinson's disease was 87·7% (95% CI 84·9-90·5), and specificity for healthy controls was 96·3% (93·4-99·2). The sensitivity of the α-synuclein SAA in sporadic Parkinson's disease with the typical olfactory deficit was 98·6% (96·4-99·4). The proportion of positive α-synuclein SAA was lower than this figure in subgroups including LRRK2 Parkinson's disease (67·5% [59·2-75·8]) and participants with sporadic Parkinson's disease without olfactory deficit (78·3% [69·8-86·7]). Participants with LRRK2 variant and normal olfaction had an even lower α-synuclein SAA positivity rate (34·7% [21·4-48·0]). Among prodromal and at-risk groups, 44 (86%) of 51 of participants with RBD or hyposmia had positive α-synuclein SAA (16 of 18 with hyposmia, and 28 of 33 with RBD). 25 (8%) of 310 non-manifesting carriers (14 of 159 [9%] LRRK2 and 11 of 151 [7%] GBA) were positive. INTERPRETATION This study represents the largest analysis so far of the α-synuclein SAA for the biochemical diagnosis of Parkinson's disease. Our results show that the assay classifies people with Parkinson's disease with high sensitivity and specificity, provides information about molecular heterogeneity, and detects prodromal individuals before diagnosis. These findings suggest a crucial role for the α-synuclein SAA in therapeutic development, both to identify pathologically defined subgroups of people with Parkinson's disease and to establish biomarker-defined at-risk cohorts. FUNDING PPMI is funded by the Michael J Fox Foundation for Parkinson's Research and funding partners, including: Abbvie, AcureX, Aligning Science Across Parkinson's, Amathus Therapeutics, Avid Radiopharmaceuticals, Bial Biotech, Biohaven, Biogen, BioLegend, Bristol-Myers Squibb, Calico Labs, Celgene, Cerevel, Coave, DaCapo Brainscience, 4D Pharma, Denali, Edmond J Safra Foundation, Eli Lilly, GE Healthcare, Genentech, GlaxoSmithKline, Golub Capital, Insitro, Janssen Neuroscience, Lundbeck, Merck, Meso Scale Discovery, Neurocrine Biosciences, Prevail Therapeutics, Roche, Sanofi Genzyme, Servier, Takeda, Teva, UCB, VanquaBio, Verily, Voyager Therapeutics, and Yumanity.
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Affiliation(s)
- Andrew Siderowf
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | | | - David-Erick Lafontant
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Carly M Farris
- Research and Development Unit, Amprion, San Diego, CA, USA
| | - Yihua Ma
- Research and Development Unit, Amprion, San Diego, CA, USA
| | - Paula A Urenia
- Research and Development Unit, Amprion, San Diego, CA, USA
| | - Hieu Nguyen
- Research and Development Unit, Amprion, San Diego, CA, USA
| | - Roy N Alcalay
- Department of Neurology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Lana M Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Douglas Galasko
- Department of Neurology, University of California, San Diego, CA, USA
| | - Karl Kieburtz
- University of Rochester Medical Center, University of Rochester, Rochester, NY, USA
| | - Kalpana Merchant
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany; Paracelsus-Elena Klinik, Kassel, and German Center for Neurodegenerative Diseases, Göttingen, Germany
| | - Kathleen L Poston
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - John Seibyl
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Tanya Simuni
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Caroline M Tanner
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA; Parkinson's Disease Research, Education and Clinical Center, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Daniel Weintraub
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Parkinson's Disease Research, Education and Clinical Center, Philadelphia Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Aleksandar Videnovic
- Department of Neurology, Neurological Clinical Research Institute, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Seung Ho Choi
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Ryan Kurth
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Chelsea Caspell-Garcia
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Christopher S Coffey
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Mark Frasier
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Luis M A Oliveira
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Samantha J Hutten
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Todd Sherer
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Claudio Soto
- Research and Development Unit, Amprion, San Diego, CA, USA; Department of Neurology, University of Texas McGovern Medical School at Houston, TX, USA
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16
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Chahine LM, Merchant K, Siderowf A, Sherer T, Tanner C, Marek K, Simuni T. Proposal for a Biologic Staging System of Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2023; 13:297-309. [PMID: 37066922 DOI: 10.3233/jpd-225111] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
The Parkinson's disease (PD) research field has seen the advent of several promising biomarkers and a deeper understanding of the clinical features of the disease from the earliest stages of pathology to manifest disease. Despite progress, a biologically based PD staging system does not exist. Such staging would be a useful framework within which to model the disease, develop and validate biomarkers, guide therapeutic development, and inform clinical trials design. We propose that the presence of aggregated neuronal α-synuclein, dopaminergic neuron dysfunction/degeneration, and clinical signs and symptoms identifies a group of individuals that have Lewy body pathology, which in early stages manifests with what is now referred to as prodromal non-motor features and later stages with the manifestations of PD and related Lewy body diseases as defined by clinical diagnostic criteria. Based on the state of the field, we herein propose a definition and staging of PD based on biology. We present the biologic basis for such a staging system and review key assumptions and evidence that support the proposed approach. We identify gaps in knowledge and delineate crucial research priorities that will inform the ultimate integrated biologic staging system for PD.
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Affiliation(s)
- Lana M Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kalpana Merchant
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Andrew Siderowf
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Todd Sherer
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Caroline Tanner
- Department of Neurology, Weill Institute for Neurosciences, University of San Francisco, San Francisco, CA, USA
| | | | - Tanya Simuni
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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17
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Kwon DY, Kwon YR, Ko J, Kim JW. Comparison of resting tremor at the upper limb joints between patients with Parkinson's disease and scans without evidence of dopaminergic deficit. Technol Health Care 2023; 31:515-523. [PMID: 37066947 DOI: 10.3233/thc-236045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
BACKGROUND A representative symptom of Parkinson's disease (PD) is resting tremor. The clinical manifestation of scans without evidence of dopaminergic deficit (SWEDD) is similar to it of PD, though the phenomenology of SWEDD is not well known. OBJECTIVE In the present study, the resting tremor of 9 SWEDD patients was quantitatively compared with that of 11 PD patients. METHODS Four 3-axis gyro sensors were attached on the index finger, thumb, dorsum of the hand, and arm of the more tremulous side. Root mean square (RMS) angular speed and angular displacement as well as irregularity of angular speed and displacement were derived from the sensor data. RESULTS Although disease duration and Hoehn and Yahr stages were comparable, SWEDD patients exhibited different tremor features from PD patients. Significantly faster RMS angular speed and greater RMS angular displacement (p< 0.05) were observed in PD patients than in SWEDD patients. The irregularity of angular displacement of pitch direction at the dorsum of the hand was greater in SWEDD patients than in PD patients (p< 0.05). CONCLUSION These results indicate that quantitative indices obtained from resting tremor task could be important biomarkers for identifying potential patients with SWEDD among patients diagnosed with PD.
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Affiliation(s)
| | - Yu-Ri Kwon
- Department of Biomedical Engineering, Konkuk University, Chungju, Korea
- Institute of Biomedical Engineering, Konkuk University, Chungju, Korea
| | - Junghyuk Ko
- Division of Mechanical Engineering, College of Engineering, Korea Maritime and Ocean University, Busan, Korea
| | - Ji-Won Kim
- Department of Biomedical Engineering, Konkuk University, Chungju, Korea
- Institute of Biomedical Engineering, Konkuk University, Chungju, Korea
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18
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Nicastro N, Nencha U, Burkhard PR, Garibotto V. Dopaminergic imaging in degenerative parkinsonisms, an established clinical diagnostic tool. J Neurochem 2023; 164:346-363. [PMID: 34935143 DOI: 10.1111/jnc.15561] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 12/10/2021] [Accepted: 12/13/2021] [Indexed: 11/29/2022]
Abstract
Parkinson's disease (PD) and other neurodegenerative parkinsonisms are characterised by loss of striatal dopaminergic neurons. Dopamine functional deficits can be measured in vivo using positron emission tomography (PET) and single-photon emission computed tomography (SPECT) ligands assessing either presynaptic (e.g. dopamine synthesis and storage, transporter density) or postsynaptic terminals (i.e. D2 receptors availability). Nuclear medicine imaging thus helps the clinician to separate degenerative forms of parkinsonism with other neurological conditions, e.g. essential tremor or drug-induced parkinsonism. With the present study, we aimed at summarizing the current evidence about dopaminergic molecular imaging in the diagnostic evaluation of PD, atypical parkinsonian syndromes and dementia with Lewy bodies (DLB), as well as its potential to distinguish these conditions and to estimate disease progression. In fact, PET/SPECT methods are clinically validated and have been increasingly integrated into diagnostic guidelines (e.g. for PD and DLB). In addition, there is novel evidence on the classification properties of extrastriatal signal. Finally, dopamine imaging has an outstanding potential to detect neurodegeneration at the premotor stage, including REM-sleep behavior disorder and olfactory loss. Therefore, inclusion of subjects at an early stage for clinical trials can largely benefit from a validated in vivo biomarker such as presynaptic dopamine pathways PET/SPECT assessment.
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Affiliation(s)
- Nicolas Nicastro
- Division of Neurorehabilitation, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland.,Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Umberto Nencha
- Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
| | - Pierre R Burkhard
- Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
| | - Valentina Garibotto
- Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Division of Nuclear Medicine and Molecular Imaging, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland
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19
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Seibyl JP. Imaging Biomarkers for Central Nervous System Drug Development and Future Clinical Utility: Lessons from Neurodegenerative Disorders. J Nucl Med 2023; 64:12-19. [PMID: 36302659 DOI: 10.2967/jnumed.122.264773] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 09/28/2022] [Accepted: 09/28/2022] [Indexed: 01/07/2023] Open
Abstract
Diseases of the central nervous system are common and often chronic conditions associated with significant morbidity. In particular, neurodegenerative disorders including Alzheimer and Parkinson disease constitute a major health and socioeconomic challenge, with an increasing incidence in many industrialized countries with aging populations. Recent work has established the primary role of abnormal protein accumulation and the spread of disease-specific deposits in brain as a factor in neurotoxicity and disruption of functional networks. A range of therapeutics from small molecules to antibodies targeting these proteinopathies are now in phase 2 and phase 3 clinical trials. These studies are methodologically challenging because of difficulty in accurately diagnosing early disease, the slow and variable rates of progression between individuals, and efficacy measures that may be cofounded by symptomatic improvements due to treatment but not reflecting disease course modification. Further, the ideal candidates for these treatments would be at-risk, or premanifest, persons in whom the pathologic process of the neurodegenerative disorder has begun but who are clinically normal and extremely difficult to identify. Scintigraphic imaging with PET and SPECT in trials offers the opportunity to interrogate pathophysiologic processes such as protein deposition with high specificity. This review summarizes the current implementation of these imaging biomarkers and the implications for future management of neurodegenerative disorders and central nervous system drug development in general.
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Affiliation(s)
- John P Seibyl
- Institute for Neurodegenerative Disorders, New Haven, Connecticut
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20
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Langley J, Hwang KS, Hu XP, Huddleston DE. Nigral volumetric and microstructural measures in individuals with scans without evidence of dopaminergic deficit. Front Neurosci 2022; 16:1048945. [PMID: 36507343 PMCID: PMC9731284 DOI: 10.3389/fnins.2022.1048945] [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: 09/20/2022] [Accepted: 10/28/2022] [Indexed: 11/25/2022] Open
Abstract
Introduction Striatal dopamine transporter (DAT) imaging using 123I-ioflupane single photon positron emitted computed tomography (SPECT) (DaTScan, GE) identifies 5-20% of newly diagnosed Parkinson's disease (PD) subjects enrolling in clinical studies to have scans without evidence of dopaminergic deficit (SWEDD). These individuals meet diagnostic criteria for PD, but do not clinically progress as expected, and they are not believed to have neurodegenerative Parkinsonism. Inclusion of SWEDD participants in PD biomarker studies or therapeutic trials may therefore cause them to fail. DaTScan can identify SWEDD individuals, but it is expensive and not widely available; an alternative imaging approach is needed. Here, we evaluate the use of neuromelanin-sensitive, iron-sensitive, and diffusion contrasts in substantia nigra pars compacta (SNpc) to differentiate SWEDD from PD individuals. Methods Neuromelanin-sensitive, iron-sensitive, and diffusion imaging data for SWEDD, PD, and control subjects were downloaded from the Parkinson's progression markers initiative (PPMI) database. SNpc volume, SNpc iron (R 2), and SNpc free water (FW) were measured for each participant. Results Significantly smaller SNpc volume was seen in PD as compared to SWEDD (P < 10-3) and control (P < 10-3) subjects. SNpc FW was elevated in the PD group relative to controls (P = 0.017). No group difference was observed in SNpc R 2. Conclusion In conclusion, nigral volume and FW in the SWEDD group were similar to that of controls, while a reduction in nigral volume and increased FW were observed in the PD group relative to SWEDD and control participants. These results suggest that these MRI measures should be explored as a cost-effective alternative to DaTScan for evaluation of the nigrostriatal system.
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Affiliation(s)
- Jason Langley
- Center for Advanced Neuroimaging, University of California, Riverside, Riverside, CA, United States
| | - Kristy S. Hwang
- Department of Neurosciences, University of California, San Diego, San Diego, CA, United States
| | - Xiaoping P. Hu
- Center for Advanced Neuroimaging, University of California, Riverside, Riverside, CA, United States
- Department of Bioengineering, University of California, Riverside, Riverside, CA, United States
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21
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Patterson CG, Joslin E, Gil AB, Spigle W, Nemet T, Chahine L, Christiansen CL, Melanson E, Kohrt WM, Mancini M, Josbeno D, Balfany K, Griffith G, Dunlap MK, Lamotte G, Suttman E, Larson D, Branson C, McKee KE, Goelz L, Poon C, Tilley B, Kang UJ, Tansey MG, Luthra N, Tanner CM, Haus JM, Fantuzzi G, McFarland NR, Gonzalez-Latapi P, Foroud T, Motl R, Schwarzschild MA, Simuni T, Marek K, Naito A, Lungu C, Corcos DM. Study in Parkinson's disease of exercise phase 3 (SPARX3): study protocol for a randomized controlled trial. Trials 2022; 23:855. [PMID: 36203214 PMCID: PMC9535216 DOI: 10.1186/s13063-022-06703-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 09/01/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND To date, no medication has slowed the progression of Parkinson's disease (PD). Preclinical, epidemiological, and experimental data on humans all support many benefits of endurance exercise among persons with PD. The key question is whether there is a definitive additional benefit of exercising at high intensity, in terms of slowing disease progression, beyond the well-documented benefit of endurance training on a treadmill for fitness, gait, and functional mobility. This study will determine the efficacy of high-intensity endurance exercise as first-line therapy for persons diagnosed with PD within 3 years, and untreated with symptomatic therapy at baseline. METHODS This is a multicenter, randomized, evaluator-blinded study of endurance exercise training. The exercise intervention will be delivered by treadmill at 2 doses over 18 months: moderate intensity (4 days/week for 30 min per session at 60-65% maximum heart rate) and high intensity (4 days/week for 30 min per session at 80-85% maximum heart rate). We will randomize 370 participants and follow them at multiple time points for 24 months. The primary outcome is the Movement Disorders Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) motor score (Part III) with the primary analysis assessing the change in MDS-UPDRS motor score (Part III) over 12 months, or until initiation of symptomatic antiparkinsonian treatment if before 12 months. Secondary outcomes are striatal dopamine transporter binding, 6-min walk distance, number of daily steps, cognitive function, physical fitness, quality of life, time to initiate dopaminergic medication, circulating levels of C-reactive protein (CRP), and brain-derived neurotrophic factor (BDNF). Tertiary outcomes are walking stride length and turning velocity. DISCUSSION SPARX3 is a Phase 3 clinical trial designed to determine the efficacy of high-intensity, endurance treadmill exercise to slow the progression of PD as measured by the MDS-UPDRS motor score. Establishing whether high-intensity endurance treadmill exercise can slow the progression of PD would mark a significant breakthrough in treating PD. It would have a meaningful impact on the quality of life of people with PD, their caregivers and public health. TRIAL REGISTRATION ClinicalTrials.gov NCT04284436 . Registered on February 25, 2020.
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Affiliation(s)
- Charity G. Patterson
- Department of Physical Therapy, University of Pittsburgh, School of Health and Rehabilitation Sciences, 100 Technology Drive, Suite 500, Pittsburgh, PA 15219 USA
| | - Elizabeth Joslin
- Department of Physical Therapy and Human Science, Northwestern University, Feinberg School of Medicine, Suite 1100, 645 North Michigan Avenue, Chicago, IL 60305 USA
| | - Alexandra B. Gil
- Department of Physical Therapy, University of Pittsburgh, School of Health and Rehabilitation Sciences, 100 Technology Drive, Suite 500, Pittsburgh, PA 15219 USA
| | - Wendy Spigle
- Department of Physical Therapy, University of Pittsburgh, School of Health and Rehabilitation Sciences, 100 Technology Drive, Suite 500, Pittsburgh, PA 15219 USA
| | - Todd Nemet
- Department of Physical Therapy, University of Pittsburgh, School of Health and Rehabilitation Sciences, 100 Technology Drive, Suite 500, Pittsburgh, PA 15219 USA
| | - Lana Chahine
- Department of Neurology, University of Pittsburgh, School of Medicine, 3471 Fifth Avenue, Pittsburgh, PA 15213 USA
| | - Cory L. Christiansen
- Department of Physical Medicine & Rehabilitation, University of Colorado, School of Medicine, Aurora, CO 80217 USA
| | - Ed Melanson
- Division of Endocrinology, Metabolism and Diabetes, and Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Eastern Colorado VA Health Care System, Geriatric Research Education and Clinical Center (GRECC), Denver, CO USA
| | - Wendy M. Kohrt
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Eastern Colorado Geriatric Research, Education, and Clinical Center, Rocky Mountain Regional VAMC, Aurora, USA
| | - Martina Mancini
- Department of Neurology, Oregon Health & Science University, 3181 SW Sam Jackson Road, Portland, OR 97219 USA
| | - Deborah Josbeno
- Department of Physical Therapy, University of Pittsburgh, School of Health and Rehabilitation Sciences, 100 Technology Drive, Suite 500, Pittsburgh, PA 15219 USA
| | - Katherine Balfany
- Department of Physical Medicine & Rehabilitation, University of Colorado, School of Medicine, Aurora, CO 80217 USA
| | - Garett Griffith
- Department of Physical Therapy and Human Science, Northwestern University, Feinberg School of Medicine, Suite 1100, 645 North Michigan Avenue, Chicago, IL 60305 USA
| | - Mac Kenzie Dunlap
- Neurological Institute, Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH 44195 USA
| | - Guillaume Lamotte
- Movement Disorders Division, Department of Neurology, University of Utah, 175 Medical Dr N, Salt Lake City, UT 84132 USA
| | - Erin Suttman
- Department of Physical Therapy & Athletic Training, University of Utah, 520 Wakara Way, Salt Lake City, UT 84115 USA
| | - Danielle Larson
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Suite 115, 710 N Lake Shore Drive, Chicago, IL 60611 USA
| | - Chantale Branson
- Morehouse School of Medicine, 720 Westview Dr SW, Atlanta, GA 30310 USA
| | - Kathleen E. McKee
- Neurosciences Clinical Program, Intermountain Healthcare, 5171 S Cottonwood Street, Suite 810, Murray, UT 84107 USA
| | - Li Goelz
- Department of Kinesiology and Nutrition, UIC College of Applied Health Sciences, 919 W Taylor Street, Chicago, IL 60612 USA
| | - Cynthia Poon
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Suite 115, 710 N Lake Shore Drive, Chicago, IL 60611 USA
| | - Barbara Tilley
- Department of Biostatistics and Data Science, University of Texas Health Science Center School of Public Health, 1200 Pressler Street E835, Houston, TX 77030 USA
| | - Un Jung Kang
- NYU Langone Health, NYU Grossman School of Medicine, 435 E 30th Street, Science Building 1305, New York, NY 10016 USA
| | - Malú Gámez Tansey
- Department of Neuroscience and Neurology, Normal Fixel Institute for Neurological Diseases and College of Medicine, University of Florida, 4911 Newell Road, Gainesville, FL 32610 USA
| | - Nijee Luthra
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, 1651 4th Street, San Francisco, CA 94158 USA
| | - Caroline M. Tanner
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, 1651 4th Street, San Francisco, CA 94158 USA
| | - Jacob M. Haus
- School of Kinesiology, University of Michigan, 830 N. University Ave, Ann Arbor, MI 48109 USA
| | - Giamila Fantuzzi
- Department of Kinesiology and Nutrition, UIC College of Applied Health Sciences, 919 W Taylor Street, Chicago, IL 60612 USA
| | - Nikolaus R. McFarland
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, College of Medicine, University of Florida, Gainesville, FL 32608 USA
| | - Paulina Gonzalez-Latapi
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Suite 115, 710 N Lake Shore Drive, Chicago, IL 60611 USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, 410 W. 10th Street, Indianapolis, IN 46220 USA
| | - Robert Motl
- Department of Kinesiology and Nutrition, UIC College of Applied Health Sciences, 919 W Taylor Street, Chicago, IL 60612 USA
| | - Michael A. Schwarzschild
- Mass General Institute for Neurodegenerative Disease, Massachusetts General Hospital, Rm 3002, 114 16th Street, Boston, MA 02129 USA
| | - Tanya Simuni
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Suite 115, 710 N Lake Shore Drive, Chicago, IL 60611 USA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, 60 Temple St, New Haven, CT 06510 USA
| | - Anna Naito
- Parkinson’s Foundation 200 SE 1st Street Suite 800, Miami, FL 33131 USA
| | - Codrin Lungu
- National Institute of Neurological Disorders and Stroke, NIH, 6001 Executive Blvd, #2188, Rockville, MD 20852 USA
| | - Daniel M. Corcos
- Department of Physical Therapy and Human Science, Northwestern University, Feinberg School of Medicine, Suite 1100, 645 North Michigan Avenue, Chicago, IL 60305 USA
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22
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Dou K, Ma J, Zhang X, Shi W, Tao M, Xie A. Multi-predictor modeling for predicting early Parkinson’s disease and non-motor symptoms progression. Front Aging Neurosci 2022; 14:977985. [PMID: 36092799 PMCID: PMC9459236 DOI: 10.3389/fnagi.2022.977985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Accepted: 08/10/2022] [Indexed: 11/29/2022] Open
Abstract
Background Identifying individuals with high-risk Parkinson’s disease (PD) at earlier stages is an urgent priority to delay disease onset and progression. In the present study, we aimed to develop and validate clinical risk models using non-motor predictors to distinguish between early PD and healthy individuals. In addition, we constructed prognostic models for predicting the progression of non-motor symptoms [cognitive impairment, Rapid-eye-movement sleep Behavior Disorder (RBD), and depression] in de novo PD patients at 5 years of follow-up. Methods We retrieved the data from the Parkinson’s Progression Markers Initiative (PPMI) database. After a backward variable selection approach to identify predictors, logistic regression analyses were applied for diagnosis model construction, and cox proportional-hazards models were used to predict non-motor symptom progression. The predictive models were internally validated by correcting measures of predictive performance for “optimism” or overfitting with the bootstrap resampling approach. Results For constructing diagnostic models, the final model reached a high accuracy with an area under the curve (AUC) of 0.93 (95% CI: 0.91–0.96), which included eight variables (age, gender, family history, University of Pennsylvania Smell Inventory Test score, Montreal Cognitive Assessment score, RBD Screening Questionnaire score, levels of cerebrospinal fluid α-synuclein, and SNCA rs356181 polymorphism). For the construction of prognostic models, our results showed that the AUC of the three prognostic models improved slightly with increasing follow-up time. The overall AUCs fluctuated around 0.70. The model validation established good discrimination and calibration for predicting PD onset and progression of non-motor symptoms. Conclusion The findings of our study facilitate predicting the individual risk at an early stage based on the predictors derived from these models. These predictive models provide relatively reliable information to prevent PD onset and progression. However, future validation analysis is still needed to clarify these findings and provide more insight into the predictive models over more extended periods of disease progression in more diverse samples.
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23
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Structural connectivity alterations in the motor network of patients with scans without evidence of dopaminergic deficit (SWEDD). J Neurol 2022; 269:5926-5933. [PMID: 35794352 DOI: 10.1007/s00415-022-11259-9] [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: 02/17/2022] [Revised: 04/13/2022] [Accepted: 06/21/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND Approximatively, 10% of patients initially diagnosed with Parkinson's disease (PD) show preserved presynaptic dopaminergic function in the nigrostriatal pathway on DAT-SPECT imaging. This syndrome is not compatible with PD diagnosis, and is known as scans without evidence of dopaminergic deficit (SWEDD). OBJECTIVE To investigate structural connectivity of cerebello-subcortico-cortical networks, including the nigrostriatal pathway, in an international cohort of subjects with SWEDD compared to normal controls using probabilistic tractography. METHODS Twenty-eight patients with SWEDD and 21 age- and sex-matched healthy controls (HC) were selected from the Parkinson's Progression Markers Initiative (PPMI) database. All participants underwent whole-brain 3D T1-weighted and diffusion-weighted MRI, as well as DAT-SPECT. Probabilistic tractography was performed in network-mode between regions of the cerebello-thalamo-basal ganglia-cortical circuits, to extract the connectivity strength between pairs of nodes of the circuit, as well as volumetric and diffusion measures of each reconstructed tract. Analysis of covariance with age and sex as covariates of non-interest was performed to assess group differences. Statistical significance was set at p < 0.05 after false-discovery-rate correction for multiple comparisons. RESULTS Compared to HC, patients with SWEDD showed increased fractional anisotropy in bilateral thalamo-putamen-precentral, left nigro-putaminal and left thalamo-pallidal pathways. Furthermore, we found decreased mean streamline length in bilateral thalamo-nigro-cerebellar pathways and in the left nigro-caudate connection. CONCLUSIONS Clinical heterogeneity of SWEDD syndrome may account for involvement of different brain circuits, such as the cerebello-thalamo-cortical and the nigrostriatal pathways, characteristic of different tremulous disorders.
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24
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Studying cognitive function in patients with a long-standing diagnosis of SWEDD. J Neurol Sci 2022; 441:120353. [DOI: 10.1016/j.jns.2022.120353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 06/09/2022] [Accepted: 07/20/2022] [Indexed: 11/24/2022]
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Wallert ED, van de Giessen E, Knol RJJ, Beudel M, de Bie RMA, Booij J. Imaging Dopaminergic Neurotransmission in Neurodegenerative Disorders. J Nucl Med 2022; 63:27S-32S. [PMID: 35649651 PMCID: PMC9165729 DOI: 10.2967/jnumed.121.263197] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/25/2022] [Indexed: 12/14/2022] Open
Abstract
Imaging of dopaminergic transmission in neurodegenerative disorders such as Parkinson disease (PD) or dementia with Lewy bodies plays a major role in clinical practice and in clinical research. We here review the role of imaging of the nigrostriatal pathway, as well as of striatal receptors and dopamine release, in common neurodegenerative disorders in clinical practice and research. Imaging of the nigrostriatal pathway has a high diagnostic accuracy to detect nigrostriatal degeneration in disorders characterized by nigrostriatal degeneration, such as PD and dementia with Lewy bodies, and disorders of more clinical importance, namely in patients with clinically uncertain parkinsonism. Imaging of striatal dopamine D2/3 receptors is not recommended for the differential diagnosis of parkinsonian disorders in clinical practice anymore. Regarding research, recently the European Medicines Agency has qualified dopamine transporter imaging as an enrichment biomarker for clinical trials in early PD, which underlines the high diagnostic accuracy of this imaging tool and will be implemented in future trials. Also, imaging of the presynaptic dopaminergic system plays a major role in, for example, examining the extent of nigrostriatal degeneration in preclinical and premotor phases of neurodegenerative disorders and to examine subtypes of PD. Also, imaging of postsynaptic dopamine D2/3 receptors plays a role in studying, for example, the neuronal substrate of impulse control disorders in PD, as well as in measuring endogenous dopamine release to examine, for example, motor complications in the treatment of PD. Finally, novel MRI sequences as neuromelanin-sensitive MRI are promising new tools to study nigrostriatal degeneration in vivo.
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Affiliation(s)
- Elon D Wallert
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Elsmarieke van de Giessen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Remco J J Knol
- Department of Nuclear Medicine, Noordwest Ziekenhuisgroep, Alkmaar, The Netherlands; and
| | - Martijn Beudel
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Rob M A de Bie
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jan Booij
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands;
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Schalkamp AK, Rahman N, Monzón-Sandoval J, Sandor C. Deep phenotyping for precision medicine in Parkinson's disease. Dis Model Mech 2022; 15:dmm049376. [PMID: 35647913 PMCID: PMC9178512 DOI: 10.1242/dmm.049376] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
A major challenge in medical genomics is to understand why individuals with the same disorder have different clinical symptoms and why those who carry the same mutation may be affected by different disorders. In every complex disorder, identifying the contribution of different genetic and non-genetic risk factors is a key obstacle to understanding disease mechanisms. Genetic studies rely on precise phenotypes and are unable to uncover the genetic contributions to a disorder when phenotypes are imprecise. To address this challenge, deeply phenotyped cohorts have been developed for which detailed, fine-grained data have been collected. These cohorts help us to investigate the underlying biological pathways and risk factors to identify treatment targets, and thus to advance precision medicine. The neurodegenerative disorder Parkinson's disease has a diverse phenotypical presentation and modest heritability, and its underlying disease mechanisms are still being debated. As such, considerable efforts have been made to develop deeply phenotyped cohorts for this disorder. Here, we focus on Parkinson's disease and explore how deep phenotyping can help address the challenges raised by genetic and phenotypic heterogeneity. We also discuss recent methods for data collection and computation, as well as methodological challenges that have to be overcome.
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Affiliation(s)
| | | | | | - Cynthia Sandor
- UK Dementia Research Institute at Cardiff University,Division of Psychological Medicine and Clinical Neuroscience, Haydn Ellis Building, Maindy Road, Cardiff CF24 4HQ, UK
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27
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Albin RL, Kanel P, van Laar T, van der Zee S, Roytman S, Koeppe RA, Scott PJH, Bohnen NI. No Dopamine Agonist Modulation of Brain [ 18F]FEOBV Binding in Parkinson's Disease. Mol Pharm 2022; 19:1176-1182. [PMID: 35289620 PMCID: PMC8983523 DOI: 10.1021/acs.molpharmaceut.1c00961] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The [18F]fluoroethoxybenzovesamicol ([18F]FEOBV) positron emission tomography (PET) ligand targets the vesicular acetylcholine transporter. Recent [18F]FEOBV PET rodent studies suggest that regional brain [18F]FEOBV binding may be modulated by dopamine D2-like receptor agents. We examined associations of regional brain [18F]FEOBV PET binding in Parkinson's disease (PD) subjects without versus with dopamine D2-like receptor agonist drug treatment. PD subjects (n = 108; 84 males, 24 females; mean age 68.0 ± 7.6 [SD] years), mean disease duration of 6.0 ± 4.0 years, and mean Movement Disorder Society-revised Unified PD Rating Scale III 35.5 ± 14.2 completed [18F]FEOBV brain PET imaging. Thirty-eight subjects were taking dopamine D2-like agonists. Vesicular monoamine transporter type 2 [11C]dihydrotetrabenazine (DTBZ) PET was available in a subset of 54 patients. Subjects on dopamine D2-like agonists were younger, had a longer duration of disease, and were taking a higher levodopa equivalent dose (LED) compared to subjects not taking dopamine agonists. A group comparison between subjects with versus without dopamine D2-like agonist use did not yield significant differences in cortical, striatal, thalamic, or cerebellar gray matter [18F]FEOBV binding. Confounder analysis using age, duration of disease, LED, and striatal [11C]DTBZ binding also failed to show significant regional [18F]FEOBV binding differences between these two groups. Chronic D2-like dopamine agonist use in PD subjects is not associated with significant alterations of regional brain [18F]FEOBV binding.
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Affiliation(s)
- Roger L Albin
- Department of Neurology, University of Michigan, Ann Arbor, Michigan 48109, United States.,GRECC & Neurology Service, VAAAHS, Ann Arbor, Michigan 48105, United States.,University of Michigan Udall Center, Ann Arbor, Michigan 48109, United States.,University of Michigan Parkinson's Foundation Research Center of Excellence, Ann Arbor, Michigan 48109, United States
| | - Prabesh Kanel
- University of Michigan Udall Center, Ann Arbor, Michigan 48109, United States.,Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Teus van Laar
- University of Michigan Udall Center, Ann Arbor, Michigan 48109, United States.,Department of Neurology, University Medical Center Groningen, University of Groningen, 9713 AV Groningen, The Netherlands
| | - Sygrid van der Zee
- University of Michigan Udall Center, Ann Arbor, Michigan 48109, United States.,Department of Neurology, University Medical Center Groningen, University of Groningen, 9713 AV Groningen, The Netherlands
| | - Stiven Roytman
- Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Robert A Koeppe
- University of Michigan Udall Center, Ann Arbor, Michigan 48109, United States.,Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Peter J H Scott
- Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Nicolaas I Bohnen
- Department of Neurology, University of Michigan, Ann Arbor, Michigan 48109, United States.,GRECC & Neurology Service, VAAAHS, Ann Arbor, Michigan 48105, United States.,University of Michigan Udall Center, Ann Arbor, Michigan 48109, United States.,University of Michigan Parkinson's Foundation Research Center of Excellence, Ann Arbor, Michigan 48109, United States.,Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109, United States
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28
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Machine Learning for Early Parkinson’s Disease Identification within SWEDD Group Using Clinical and DaTSCAN SPECT Imaging Features. J Imaging 2022; 8:jimaging8040097. [PMID: 35448224 PMCID: PMC9032319 DOI: 10.3390/jimaging8040097] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 03/15/2022] [Accepted: 03/18/2022] [Indexed: 11/24/2022] Open
Abstract
Early Parkinson’s Disease (PD) diagnosis is a critical challenge in the treatment process. Meeting this challenge allows appropriate planning for patients. However, Scan Without Evidence of Dopaminergic Deficit (SWEDD) is a heterogeneous group of PD patients and Healthy Controls (HC) in clinical and imaging features. The application of diagnostic tools based on Machine Learning (ML) comes into play here as they are capable of distinguishing between HC subjects and PD patients within an SWEDD group. In the present study, three ML algorithms were used to separate PD patients from HC within an SWEDD group. Data of 548 subjects were firstly analyzed by Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) techniques. Using the best reduction technique result, we built the following clustering models: Density-Based Spatial (DBSCAN), K-means and Hierarchical Clustering. According to our findings, LDA performs better than PCA; therefore, LDA was used as input for the clustering models. The different models’ performances were assessed by comparing the clustering algorithms outcomes with the ground truth after a follow-up. Hierarchical Clustering surpassed DBSCAN and K-means algorithms by 64%, 78.13% and 38.89% in terms of accuracy, sensitivity and specificity. The proposed method demonstrated the suitability of ML models to distinguish PD patients from HC subjects within an SWEDD group.
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Palermo G, Giannoni S, Depalo T, Frosini D, Volterrani D, Siciliano G, Bonuccelli U, Ceravolo R. Negative
DAT‐SPECT
in old onset Parkinson's disease: an additional pitfall? Mov Disord Clin Pract 2022; 9:530-534. [PMID: 35582312 PMCID: PMC9092727 DOI: 10.1002/mdc3.13441] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Revised: 02/11/2022] [Accepted: 03/11/2022] [Indexed: 11/28/2022] Open
Abstract
Background Scans without evidence of dopaminergic deficit (SWEDDs) refer to patients clinically diagnosed with Parkinson's disease (PD), but showing normal findings on dopamine transporter single‐photon emission computed tomography (DAT‐SPECT). This entity remains highly debated, but recent findings suggesting that DAT‐SPECT does not reflect either nigral cell bodies or striatal fibers of dopaminergic nigrostriatal neurons could improve our understanding of SWEDDs. Notably, compensatory downregulation of DAT in the early stages of PD seems to be less efficient in older‐onset than in young‐onset patients. Cases We report eight patients with old‐onset clinical parkinsonism and a positive response to levodopa in which DAT‐SPECT was normal both visually and semiquantitatively. Two subjects demonstrated an abnormal scan when repeated later. Conclusions We suggest that old‐onset patients may truly have dopaminergic degeneration despite normal imaging results, presumably because they are diagnosed in the early stages confirming less efficient striatal compensatory strategies in old‐age onset PD.
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Affiliation(s)
- Giovanni Palermo
- Unit of Neurology, Department of Clinical and Experimental Medicine University of Pisa Pisa Italy
| | - Sara Giannoni
- Unit of Neurology, Department of Clinical and Experimental Medicine University of Pisa Pisa Italy
| | - Tommaso Depalo
- Regional Center of Nuclear Medicine, Department of Clinical and Experimental Medicine University of Pisa Pisa Italy
| | - Daniela Frosini
- Unit of Neurology, Department of Clinical and Experimental Medicine University of Pisa Pisa Italy
| | - Duccio Volterrani
- Regional Center of Nuclear Medicine, Department of Clinical and Experimental Medicine University of Pisa Pisa Italy
| | - Gabriele Siciliano
- Unit of Neurology, Department of Clinical and Experimental Medicine University of Pisa Pisa Italy
| | - Ubaldo Bonuccelli
- Unit of Neurology, Department of Clinical and Experimental Medicine University of Pisa Pisa Italy
| | - Roberto Ceravolo
- Unit of Neurology, Department of Clinical and Experimental Medicine University of Pisa Pisa Italy
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30
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Hutchison RM, Evans KC, Fox T, Yang M, Barakos J, Bedell BJ, Cedarbaum JM, Brys M, Siderowf A, Lang AE. Evaluating dopamine transporter imaging as an enrichment biomarker in a phase 2 Parkinson's disease trial. BMC Neurol 2021; 21:459. [PMID: 34814867 PMCID: PMC8609885 DOI: 10.1186/s12883-021-02470-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 10/25/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Dopamine transporter single-photon emission computed tomography (DaT-SPECT) can quantify the functional integrity of the dopaminergic nerve terminals and has been suggested as an imaging modality to verify the clinical diagnosis of Parkinson's disease (PD). Depending on the stage of progression, approximately 5-15% of participants clinically diagnosed with idiopathic PD have been observed in previous studies to have normal DaT-SPECT patterns. However, the utility of DaT-SPECT in enhancing early PD participant selection in a global, multicenter clinical trial of a potentially disease-modifying therapy is not well understood. METHODS The SPARK clinical trial was a phase 2 trial of cinpanemab, a monoclonal antibody against alpha-synuclein, in participants with early PD. DaT-SPECT was performed at screening to select participants with DaT-SPECT patterns consistent with degenerative parkinsonism. Acquisition was harmonised across 82 sites. Images were reconstructed and qualitatively read at a central laboratory by blinded neuroradiologists for inclusion prior to automated quantitative analysis. RESULTS In total, 482 unique participants were screened between January 2018 and May 2019; 3.8% (15/398) of imaged participants were excluded owing to negative DaT-SPECT findings (i.e., scans without evidence of dopaminergic deficit [SWEDD]). CONCLUSION A smaller proportion of SPARK participants were excluded owing to SWEDD status upon DaT-SPECT screening than has been reported in prior studies. Further research is needed to understand the reasons for the low SWEDD rate in this study and whether these results are generalisable to future studies. If supported, the radiation risks, imaging costs, and operational burden of DaT-SPECT for enrichment may be mitigated by clinical assessment and other study design aspects. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT03318523 . Date submitted: October 19, 2017. First Posted: October 24, 2017.
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Affiliation(s)
| | | | | | - Minhua Yang
- Biogen, 300 Binney Street, Cambridge, MA, 02142, USA
| | | | | | | | | | | | - Anthony E Lang
- Morton and Gloria Shulman Movement Disorders Clinic, Toronto, ON, Canada.,Edmond J. Safra Program in Parkinson's Disease, Toronto, ON, Canada
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31
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Palermo G, Giannoni S, Bellini G, Siciliano G, Ceravolo R. Dopamine Transporter Imaging, Current Status of a Potential Biomarker: A Comprehensive Review. Int J Mol Sci 2021; 22:11234. [PMID: 34681899 PMCID: PMC8538800 DOI: 10.3390/ijms222011234] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 10/12/2021] [Accepted: 10/13/2021] [Indexed: 11/16/2022] Open
Abstract
A major goal of current clinical research in Parkinson's disease (PD) is the validation and standardization of biomarkers enabling early diagnosis, predicting outcomes, understanding PD pathophysiology, and demonstrating target engagement in clinical trials. Molecular imaging with specific dopamine-related tracers offers a practical indirect imaging biomarker of PD, serving as a powerful tool to assess the status of presynaptic nigrostriatal terminals. In this review we provide an update on the dopamine transporter (DAT) imaging in PD and translate recent findings to potentially valuable clinical practice applications. The role of DAT imaging as diagnostic, preclinical and predictive biomarker is discussed, especially in view of recent evidence questioning the incontrovertible correlation between striatal DAT binding and nigral cell or axon counts.
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Affiliation(s)
- Giovanni Palermo
- Unit of Neurology, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy; (G.P.); (S.G.); (G.B.); (G.S.)
| | - Sara Giannoni
- Unit of Neurology, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy; (G.P.); (S.G.); (G.B.); (G.S.)
- Unit of Neurology, San Giuseppe Hospital, 50053 Empoli, Italy
| | - Gabriele Bellini
- Unit of Neurology, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy; (G.P.); (S.G.); (G.B.); (G.S.)
| | - Gabriele Siciliano
- Unit of Neurology, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy; (G.P.); (S.G.); (G.B.); (G.S.)
| | - Roberto Ceravolo
- Unit of Neurology, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy; (G.P.); (S.G.); (G.B.); (G.S.)
- Center for Neurodegenerative Diseases, Unit of Neurology, Parkinson’s Disease and Movement Disorders, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
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32
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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: 0.8] [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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Nicastro N, Burkhard PR, Garibotto V. Preserved Extrastriatal 123I-FP-CIT Binding in Scans Without Evidence of Dopaminergic Deficit (SWEDD). Mol Imaging Biol 2021; 22:1592-1599. [PMID: 32468408 DOI: 10.1007/s11307-020-01502-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
PURPOSE Scans without evidence of dopaminergic deficit (SWEDD) have been initially described in a minority of subjects with suspected Parkinson's disease (PD). Although a highly controversial entity, longitudinal studies showed that SWEDD cases mostly involve non-degenerative conditions mimicking PD or misattribution of scan images to normal status. Using the Parkinson's Progression Markers Initiative (PPMI) cohort, we undertook a case-controlled analysis of [123I]N-ω-fluoropropyl-2β-carbomethoxy-iodophenyl nortropane ([123I]FP-CIT) single photon emission computed tomography (SPECT) images to measure extrastriatal serotonergic transporter (SERT) density in SWEDD and PD. PROCEDURES We included 37 SWEDD cases (mean age 60 years, 33 % female) with available [123I]FP-CIT SPECT imaging and high-resolution T1-weighted magnetic resonance imaging (MRI) for coregistration. Sixty-one controls and 62 similarly aged PD subjects were included for group comparisons. Regional [123I]FP-CIT was extracted with PETPVE12 using geometric transfer matrix and partial volume effect correction. RESULTS PD subjects showed significantly lower [123I]FP-CIT binding in both striatal (caudate nucleus and putamen) and extrastriatal regions (pallidum and insula) compared with controls and SWEDD (all between-group p < 0.0001). PD group also showed lower binding in the thalamus relative to controls (p = 0.007). Receiver operating characteristics (ROC) area under the curve (AUC) did not show a significant difference when using extrastriatal region in addition to striatal ROIs for the separation of SWEDD and PD (95 % ROC-AUC for both methods, p = 0.52). In addition, striatal [123I]FP-CIT binding contralateral to the clinically more affected side was usually lower for PD (> 75 %) but not for SWEDD (< 49 %, p < 0.002). No significant difference regarding [123I]FP-CIT binding was observed between SWEDD and controls. CONCLUSION These findings corroborate the view that SWEDD cases represent a heterogeneous group of conditions not involving dopaminergic and serotonergic terminals. Further studies are warranted to be assessed whether using extrastriatal [123I]FP-CIT evaluation can be of help in the assessment of degenerative parkinsonism.
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Affiliation(s)
- Nicolas Nicastro
- Department of Psychiatry, University of Cambridge, Cambridge, UK. .,Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals, 4 rue G. Perret-Gentil, 1205, Geneva, Switzerland.
| | - Pierre R Burkhard
- Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals, 4 rue G. Perret-Gentil, 1205, Geneva, Switzerland.,Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Valentina Garibotto
- Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Department of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland
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Brumberg J, Kerstens V, Cselényi Z, Svenningsson P, Sundgren M, Fazio P, Varrone A. Simplified quantification of [ 18F]FE-PE2I PET in Parkinson's disease: Discriminative power, test-retest reliability and longitudinal validity during early peak and late pseudo-equilibrium. J Cereb Blood Flow Metab 2021; 41:1291-1300. [PMID: 32955955 PMCID: PMC8138335 DOI: 10.1177/0271678x20958755] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Quantification of dopamine transporter (DAT) availability with [18F]FE-PE2I PET enables the detection of presynaptic dopamine deficiency and provides a potential progression marker for Parkinson`s disease (PD). Simplified quantification is feasible, but the time window of short acquisition protocols may have a substantial impact on the reliability of striatal binding estimates. Dynamic [18F]FE-PE2I PET data of cross-sectional (33 PD patients, 24 controls), test-retest (9 patients), and longitudinal (12 patients) cohorts were used to assess the variability and reliability of specific binding ratios (SBR) measured during early peak and late pseudo-equilibrium. Receiver operating characteristics area under the curve (PD vs. controls) was high for early (0.996) and late (0.991) SBR. Early SBR provided more favourable effect size, absolute variability, and standard error of measurement than late SBR (caudate: 1.29 vs. 1.23; 6.9% vs. 9.8%; 0.09 vs. 0.20; putamen: 1.75 vs. 1.67; 7.7% vs. 14.0%; 0.08 vs. 0.17). The annual percentage change was comparable for both time windows (-7.2%-8.5%), but decline was significant only for early SBR. Whereas early and late [18F]FE-PE2I PET acquisitions have similar discriminative power to separate PD patients and controls, the early peak equilibrium acquisition can be recommended if [18F]FE-PE2I is used to measure longitudinal changes of DAT availability.
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Affiliation(s)
- Joachim Brumberg
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden.,Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany
| | - Vera Kerstens
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden
| | - Zsolt Cselényi
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden.,AstraZeneca Translational Science Centre at Karolinska Institutet PET CoE, Stockholm, Sweden
| | - Per Svenningsson
- Department of Clinical Neuroscience, Section Neuro, Karolinska Institutet, Stockholm, Sweden.,Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Mathias Sundgren
- Department of Clinical Neuroscience, Section Neuro, Karolinska Institutet, Stockholm, Sweden.,Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Patrik Fazio
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden.,Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Andrea Varrone
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden
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Bega D, Kuo PH, Chalkidou A, Grzeda MT, Macmillan T, Brand C, Sheikh ZH, Antonini A. Clinical utility of DaTscan in patients with suspected Parkinsonian syndrome: a systematic review and meta-analysis. NPJ Parkinsons Dis 2021; 7:43. [PMID: 34031400 PMCID: PMC8144619 DOI: 10.1038/s41531-021-00185-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 03/29/2021] [Indexed: 11/08/2022] Open
Abstract
Images of DaTscan (ioflupane [123I] SPECT) have been used as an adjunct to clinical diagnosis to facilitate the differential diagnosis of neurodegenerative (ND) Parkinsonian Syndrome (PS) vs. non-dopamine deficiency aetiologies of Parkinsonism. Despite several systematic reviews having summarised the evidence on diagnostic accuracy, the impact of imaging results on clinical utility has not been systematically assessed. Our objective was to examine the available evidence on the clinical utility of DaTscan imaging in changing diagnosis and subsequent management of patients with suspected PS. We performed a systematic review of published studies of clinical utility from 2000 to 2019 without language restrictions. A meta-analysis of change in diagnosis and management rates reported from each study was performed using a random-effects model and logit transformation. Sub-group analysis, meta-regression and sensitivity analysis was performed to explore heterogeneity. Twenty studies met the inclusion criteria. Thirteen of these contributed to the meta-analyses including 950 and 779 patients with a reported change in management and change in diagnosis, respectively. The use of DaTscan imaging resulted in a change in management in 54% (95% CI: 47-61%) of patients. Change in diagnosis occurred in 31% (95% CI: 22-42%) of patients. The two pooled analyses were characterised by high levels of heterogeneity. Our systematic review and meta-analysis show that imaging with DaTscan was associated with a change in management in approximately half the patients tested and the diagnosis was modified in one third. Regardless of time from symptom onset to scan results, these changes were consistent. Further research focusing on specific patient subgroups could provide additional evidence on the impact on clinical outcomes.
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Affiliation(s)
- Danny Bega
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Phillip H Kuo
- Departments of Medical Imaging Medicine, and Biomedical Engineering, University of Arizona, Tucson, AZ, USA
| | - Anastasia Chalkidou
- King's Technology Evaluation Centre, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
| | - Mariusz T Grzeda
- King's Technology Evaluation Centre, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Thomas Macmillan
- King's Technology Evaluation Centre, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | | | - Zulfiqar H Sheikh
- GE Healthcare, Pollards Wood, Nightingales Ln, Chalfont Saint Giles, UK
| | - Angelo Antonini
- Department of Neuroscience, University of Padua, Padua, Italy
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36
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Akdemir ÜÖ, Bora Tokçaer A, Atay LÖ. Dopamine transporter SPECT imaging in Parkinson’s disease and parkinsonian disorders. Turk J Med Sci 2021; 51:400-410. [PMID: 33237660 PMCID: PMC8203173 DOI: 10.3906/sag-2008-253] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 11/24/2020] [Indexed: 12/29/2022] Open
Abstract
The dopamine transporter (DAT) imaging provides an objective tool for the assessment of dopaminergic function of presynaptic terminals which is valuable for the differential diagnosis of parkinsonian disorders related to a striatal dopaminergic deficiency from movement disorders not related a striatal dopaminergic deficiency. DAT imaging with single-photon emission computed tomography (SPECT) can be used to confirm or exclude a diagnosis of dopamine deficient parkinsonism in cases where the diagnosis is unclear. It can also detect the dopaminergic dysfunction in presymptomatic subjects at risk for Parkinson’s disease (PD) since the reduced radiotracer binding to DATs in striatum is already present in the prodromal stage of PD. This review covers the rationale of using DAT SPECT imaging in the diagnosis of PD and other parkinsonian disorders, specifically focusing on the practical aspects of imaging and routine clinical indications.
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Affiliation(s)
- Ümit Özgür Akdemir
- Department of Nuclear Medicine, Faculty of Medicine, Gazi University, Ankara, Turkey
| | - Ayşe Bora Tokçaer
- Department of Neurology, Faculty of Medicine, Gazi University, Ankara, Turkey
| | - Lütfiye Özlem Atay
- Department of Nuclear Medicine, Faculty of Medicine, Gazi University, Ankara, Turkey
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Bae YJ, Song YS, Kim JM, Choi BS, Nam Y, Choi JH, Lee WW, Kim JH. Determining the Degree of Dopaminergic Denervation Based on the Loss of Nigral Hyperintensity on SMWI in Parkinsonism. AJNR Am J Neuroradiol 2021; 42:681-687. [PMID: 33509919 DOI: 10.3174/ajnr.a6960] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 10/21/2021] [Indexed: 01/23/2023]
Abstract
BACKGROUND AND PURPOSE Nigrostriatal dopaminergic function in patients with Parkinson disease can be assessed using 123I-2β-carbomethoxy-3β-(4-iodophenyl)-N-(3-fluoropropyl)-nortropan dopamine transporter (123I-FP-CIT) SPECT, and a good correlation has been demonstrated between nigral status on SWI and dopaminergic denervation on 123I-FP-CIT SPECT. Here, we aim to correlate quantified dopamine transporter attenuation on 123I-FP-CIT SPECT with nigrosome-1 status using susceptibility map-weighted imaging (SMWI). MATERIALS AND METHODS Between May 2017 and January 2018, consecutive patients with idiopathic Parkinson disease (n = 109) and control participants (n = 29) who underwent 123I-FP-CIT SPECT with concurrent 3T SWI were included. SMWI was generated from SWI. Two neuroradiologists evaluated nigral hyperintensity from nigrosome-1 on each side of the substantia nigra. Using consensus reading, we compared the 123I-FP-CIT-specific binding ratio according to nigral hyperintensity status and the 123I-FP-CIT specific binding ratio threshold to confirm the loss of nigral hyperintensity was determined using receiver operating characteristic curve analysis. RESULTS The concordance rate between SMWI and 123I-FP-CIT SPECT was 65.9%. The 123I-FP-CIT-specific binding ratios in the striatum, caudate nucleus, and putamen were significantly lower when nigral hyperintensity in the ipsilateral substantia nigra was absent than when present (all, P < .001). The 123I-FP-CIT-specific binding ratio threshold values for the determination of nigral hyperintensity loss were 2.56 in the striatum (area under the curve, 0.890), 3.07 in the caudate nucleus (0.830), and 2.36 in the putamen (0.887). CONCLUSIONS Nigral hyperintensity on SMWI showed high positive predictive value and low negative predictive value with dopaminergic degeneration on 123I-FP-CIT SPECT. In patients with Parkinson disease, the loss of nigral hyperintensity is prominent in patients with lower striatal specific binding ratios.
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Affiliation(s)
- Y J Bae
- From the Department of Radiology (Y.J.B., B.S.C., J.H.K.)
| | - Y S Song
- Nuclear Medicine (Y.S.S., W.W.L.)
| | - J-M Kim
- Neurology (J.-M.K., J.-H.C.), Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - B S Choi
- From the Department of Radiology (Y.J.B., B.S.C., J.H.K.)
| | - Y Nam
- Division of Biomedical Engineering (Y.N.), Hankuk University of Foreign Studies, Gyeonggi-do, Republic of Korea
| | - J-H Choi
- Neurology (J.-M.K., J.-H.C.), Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - W W Lee
- Nuclear Medicine (Y.S.S., W.W.L.)
- Medical Research Center, Institute of Radiation Medicine (W.W.L.), Seoul National University, Seoul, Republic of Korea
| | - J H Kim
- From the Department of Radiology (Y.J.B., B.S.C., J.H.K.)
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Brooks DJ. Imaging Familial and Sporadic Neurodegenerative Disorders Associated with Parkinsonism. Neurotherapeutics 2021; 18:753-771. [PMID: 33432494 PMCID: PMC8423977 DOI: 10.1007/s13311-020-00994-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/16/2020] [Indexed: 11/24/2022] Open
Abstract
In this paper, the structural and functional imaging changes associated with sporadic and genetic Parkinson's disease and atypical Parkinsonian variants are reviewed. The role of imaging for supporting diagnosis and detecting subclinical disease is discussed, and the potential use and drawbacks of using imaging biomarkers for monitoring disease progression is debated. Imaging changes associated with nonmotor complications of PD are presented. The similarities and differences in imaging findings in Lewy body dementia, Parkinson's disease dementia, and Alzheimer's disease are discussed.
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Affiliation(s)
- David J Brooks
- Department of Nuclear Medicine, Aarhus University, Aarhus N, 8200, Denmark.
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK.
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Yu Z, Li Y. Association of autonomic symptoms with cerebrospinal fluid biomarkers in Parkinson disease and scans without evidence of dopaminergic deficit. Medicine (Baltimore) 2021; 100:e24837. [PMID: 33607852 PMCID: PMC7899893 DOI: 10.1097/md.0000000000024837] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 01/25/2021] [Indexed: 01/05/2023] Open
Abstract
Dysautonomia is common in patients with Parkinson disease (PD) since disease early phase. Scales for Outcomes in Parkinson's disease - Autonomic (SCOPA-AUT) is a well-designed scale assessing the autonomic dysfunctions of PD patients. Our objectives were to examine the autonomic dysfunction in PD and scan without evidence of dopaminergic deficit (SWEDD) patients and to assess the correlation of autonomic dysfunctions with cerebrospinal fluid (CSF) biomarkers.An analysis of the Parkinson's Progression Markers Initiative (PPMI) data including 414 PD patients, 60 SWEDD patients, and 170 healthy controls (HCs) with baseline CSF biomarker measurements and SCOPA-AUT assessments was presented. Autonomic symptoms including gastrointestinal, urinary, cardiovascular, pupillomotor, thermoregulatory and sexual dysfunctions were assessed by SCOPA-AUT scales. Spearman correlation test was used to examine the correlations between CSF measurements and each section of SCOPA-AUT scales in HCs and subjects with PD or SWEDD.More severe autonomic dysfunctions were observed in patients with SWEDD than those with PD (P < .001). Specifically, patients with PD have lower scores on the urinary scale [4 (0-17) vs 5 (1-18)], pupillomotor scale [0 (0-3) vs 0 (0-3)], thermoregulatory scale [0 (0-4) vs 1.5 (0-10)] and sexual scale [1 (0-6) vs 2 (0-6)] compared with SWEDD patients. Thermoregulatory dysfunction scores were found correlated with CSF α-syn levels in SWEDD group, and gastrointestinal dysfunction scores were correlated with CSF Abeta1-42 in PD group. Additionally, urinary dysfunction scores were correlated with CSF total tau and tau phosphorylated at threonine 181(p-tau181) levels in both HCs and PD patients.
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Affiliation(s)
- Zhenwei Yu
- Beijing Neurosurgical Institute, Capital Medical University
| | - Yang Li
- Institute of Systems Biomedicine, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
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Lee JW, Song YS, Kim H, Ku BD, Lee WW. Patients with scans without evidence of dopaminergic deficit (SWEDD) do not have early Parkinson's disease: Analysis of the PPMI data. PLoS One 2021; 16:e0246881. [PMID: 33566871 PMCID: PMC7875405 DOI: 10.1371/journal.pone.0246881] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 01/27/2021] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND To evaluate whether patients with scans without evidence of dopaminergic deficit (SWEDD) have early Parkinson's disease (PD). METHODS The clinical characteristics, striatal specific binding ratios (SBRs), and the indices of I-123 FP-CIT SPECT images of 50 SWEDD patients, 304 PD patients, and 141 healthy controls were acquired from the Parkinson's Progression Markers Initiative (PPMI) data and evaluated during a 2-year clinical follow-up period. RESULTS Of the 50 subjects with SWEDD, PD was confirmed in 13 subjects (the PD-SWEDD group), while the remaining 37 subjects had other diseases (the Other-SWEDD group). Striatal SBR values and striatal asymmetry indices of the PD group were significantly different with those of the PD-SWEDD and Other-SWEDD groups at both baseline and after 2 years (p < 0.001). Putaminal SBR values of the PD-SWEDD group were significantly decreased after 2 years (p < 0.05). There was no difference of the SBR values between baseline and after 2 years in the Other-SWEDD group. A baseline MDS-UPDRS III score matched comparison of the PD and PD-SWEDD group was done due to the large difference of the subject numbers. Striatal SBR values and striatal asymmetry indices were significantly different (p < 0.001) between the two groups at both baseline and after 2 years, but there were no significant difference with respect to the MDS-UPDRS III scores after 2 years between the two groups. CONCLUSION The different SBR values and asymmetry indices between the PD and PD-SWEDD groups at baseline and after 2 years indicate that SWEDD may not be early PD, but rather a different disease entity.
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Affiliation(s)
- Jeong Won Lee
- Department of Nuclear Medicine, Catholic Kwandong University College of Medicine, International St. Mary’s Hospital, Incheon, Republic of Korea
| | - Yoo Sung Song
- Department of Nuclear Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Hyeyun Kim
- Department of Neurology, Catholic Kwandong University College of Medicine, International St. Mary’s Hospital, Incheon, Republic of Korea
| | - Bon D. Ku
- Department of Neurology, Catholic Kwandong University College of Medicine, International St. Mary’s Hospital, Incheon, Republic of Korea
| | - Won Woo Lee
- Department of Nuclear Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul, Republic of Korea
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Drzezga A, Bischof GN, Giehl K, van Eimeren T. PET and SPECT Imaging of Neurodegenerative Diseases. Mol Imaging 2021. [DOI: 10.1016/b978-0-12-816386-3.00085-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Devos D, Hirsch E, Wyse R. Seven Solutions for Neuroprotection in Parkinson's Disease. Mov Disord 2020; 36:306-316. [PMID: 33184908 DOI: 10.1002/mds.28379] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 10/07/2020] [Accepted: 10/21/2020] [Indexed: 12/21/2022] Open
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder characterized by loss of dopaminergic neurons in the substantia nigra and accumulation of iron and alpha-synuclein; it follows a characteristic pattern throughout the nervous system. Despite decades of successful preclinical neuroprotective studies, no drug has then shown efficacy in clinical trials. Considering this dilemma, we have reviewed and organized solutions of varying importance that can be exclusive or additive, and we outline approaches to help generate successful development of neuroprotective drugs for PD: (1) select patients in which the targeted mechanism is involved in the pathological process associated with the monitoring of target engagement, (2) combine treatments that target multiple pathways, (3) establish earliest interventions and develop better prodromal biomarkers, (4) adopt rigorous methodology and specific disease-relevant designs for disease-modifying clinical trials, (5) customize drug with better brain biodistribution, (6) prioritize repurposed drugs as a first line approach, and (7) adapt preclinical models to the targeted mechanisms with translational biomarkers to increase their predictive value. © 2020 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- David Devos
- Department of Medical Pharmacology, Expert Center for Parkinson, CHU-Lille, Lille Neuroscience & Cognition, Inserm, zUMR-S1172, LICEND, University of Lille, Lille, France
| | - Etienne Hirsch
- Institut du Cerveau-ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
| | - Richard Wyse
- The Cure Parkinson's Trust, London, United Kingdom
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Ambar Akkaoui M, Geoffroy PA, Roze E, Degos B, Garcin B. Functional Motor Symptoms in Parkinson's Disease and Functional Parkinsonism: A Systematic Review. J Neuropsychiatry Clin Neurosci 2020; 32:4-13. [PMID: 31466517 DOI: 10.1176/appi.neuropsych.19030058] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Whereas functional symptoms are common in Parkinson's disease (PD), a parkinsonian syndrome may occasionally reflect a pure functional disorder (also named functional parkinsonism [FP]). This review aimed to decipher these entities to clarify the link between functional manifestations and PD. METHODS Following the PRISMA guidelines, the authors performed a systematic literature search of the PubMed and Science Direct databases for the period 1988 to December 2018 to identify studies of patients with either FP or PD associated with functional neurological symptoms. RESULTS From the 844 articles screened, 22 were retained, including 12 studies of functional neurological symptoms in PD and 16 studies of FP. The studies of functional symptoms in PD included 121 patients-57% were women, and the mean age was 61.3 years. Psychiatric history (mostly depression) and exposure to triggering stressors were frequent: 60% and 82.5%, respectively. The most common symptom was tremor (33.8%), most often located on the side most affected by PD (50%). Studies of FP included a total of 120 patients-62% were women, and the mean age was 50.7 years. The first FP symptoms appeared on average 5 years before diagnosis, with an abrupt onset in half the cases; 67.6% had a psychiatric history, and 46.8% were exposed to triggering stressors, such as physical injury, stress at work, or loss of family or friends. CONCLUSIONS Findings suggest a possible relationship between PD and FP. Clinicians should keep in mind the possibility of functional symptoms in PD patients.
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Affiliation(s)
- Marine Ambar Akkaoui
- Neurology Unit, Avicenne University Hospital, Hôpitaux Universitaires de Paris-Seine Saint Denis, Bobigny, France (Ambar Akkaoui, Degos, Garcin); Dynamics and Pathophysiology of Neuronal Networks Team, Center for Interdisciplinary Research in Biology, Collège de France, Paris (Degos); the Department of Psychiatry and Addictive Medicine, Assistance Publique-Hôpitaux de Paris (AP-HP), University Hospital Bichat-Claude Bernard, and Paris Diderot University, Paris (Geoffroy); the Department of Neurology, Salpêtrière Hospital, AP-HP, Paris (Roze); and Brain and Spine Institute, Faculty of Medicine of Sorbonne University, Paris (Roze, Garcin)
| | - Pierre A Geoffroy
- Neurology Unit, Avicenne University Hospital, Hôpitaux Universitaires de Paris-Seine Saint Denis, Bobigny, France (Ambar Akkaoui, Degos, Garcin); Dynamics and Pathophysiology of Neuronal Networks Team, Center for Interdisciplinary Research in Biology, Collège de France, Paris (Degos); the Department of Psychiatry and Addictive Medicine, Assistance Publique-Hôpitaux de Paris (AP-HP), University Hospital Bichat-Claude Bernard, and Paris Diderot University, Paris (Geoffroy); the Department of Neurology, Salpêtrière Hospital, AP-HP, Paris (Roze); and Brain and Spine Institute, Faculty of Medicine of Sorbonne University, Paris (Roze, Garcin)
| | - Emmanuel Roze
- Neurology Unit, Avicenne University Hospital, Hôpitaux Universitaires de Paris-Seine Saint Denis, Bobigny, France (Ambar Akkaoui, Degos, Garcin); Dynamics and Pathophysiology of Neuronal Networks Team, Center for Interdisciplinary Research in Biology, Collège de France, Paris (Degos); the Department of Psychiatry and Addictive Medicine, Assistance Publique-Hôpitaux de Paris (AP-HP), University Hospital Bichat-Claude Bernard, and Paris Diderot University, Paris (Geoffroy); the Department of Neurology, Salpêtrière Hospital, AP-HP, Paris (Roze); and Brain and Spine Institute, Faculty of Medicine of Sorbonne University, Paris (Roze, Garcin)
| | - Bertrand Degos
- Neurology Unit, Avicenne University Hospital, Hôpitaux Universitaires de Paris-Seine Saint Denis, Bobigny, France (Ambar Akkaoui, Degos, Garcin); Dynamics and Pathophysiology of Neuronal Networks Team, Center for Interdisciplinary Research in Biology, Collège de France, Paris (Degos); the Department of Psychiatry and Addictive Medicine, Assistance Publique-Hôpitaux de Paris (AP-HP), University Hospital Bichat-Claude Bernard, and Paris Diderot University, Paris (Geoffroy); the Department of Neurology, Salpêtrière Hospital, AP-HP, Paris (Roze); and Brain and Spine Institute, Faculty of Medicine of Sorbonne University, Paris (Roze, Garcin)
| | - Béatrice Garcin
- Neurology Unit, Avicenne University Hospital, Hôpitaux Universitaires de Paris-Seine Saint Denis, Bobigny, France (Ambar Akkaoui, Degos, Garcin); Dynamics and Pathophysiology of Neuronal Networks Team, Center for Interdisciplinary Research in Biology, Collège de France, Paris (Degos); the Department of Psychiatry and Addictive Medicine, Assistance Publique-Hôpitaux de Paris (AP-HP), University Hospital Bichat-Claude Bernard, and Paris Diderot University, Paris (Geoffroy); the Department of Neurology, Salpêtrière Hospital, AP-HP, Paris (Roze); and Brain and Spine Institute, Faculty of Medicine of Sorbonne University, Paris (Roze, Garcin)
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Hung AY, Schwarzschild MA. Approaches to Disease Modification for Parkinson's Disease: Clinical Trials and Lessons Learned. Neurotherapeutics 2020; 17:1393-1405. [PMID: 33205384 PMCID: PMC7851299 DOI: 10.1007/s13311-020-00964-w] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/30/2020] [Indexed: 12/16/2022] Open
Abstract
Despite many clinical trials over the last three decades, the goal of demonstrating that a treatment slows the progression of Parkinson's disease (PD) remains elusive. Research advances have shed new insight into cellular pathways contributing to PD pathogenesis and offer increasingly compelling therapeutic targets. Here we review recent and ongoing clinical trials employing novel strategies toward disease modification, including those targeting alpha-synuclein and those repurposing drugs approved for other indications. Active and passive immunotherapy approaches are being studied with the goal to modify the spread of alpha-synuclein pathology in the brain. Classes of currently available drugs that have been proposed to have potential disease-modifying effects for PD include calcium channel blockers, antioxidants, anti-inflammatory agents, iron-chelating agents, glucagon-like peptide 1 agonists, and cAbl tyrosine kinase inhibitors. The mechanistic diversity of these treatments offers hope, but to date, results from these trials have been disappointing. Nevertheless, they provide useful lessons in guiding future therapeutic development.
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Affiliation(s)
- Albert Y Hung
- Department of Neurology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA.
| | - Michael A Schwarzschild
- Department of Neurology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
- MassGeneral Institute for Neurodegenerative Disease, 114 16th Street, Charlestown, MA, 02129, USA
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van Eimeren T, Claßen J, Drzezga A, Eggers C, Hilker-Roggendorf R, Klucken J, Koschel J, Meyer PT, Redecker C, Theis H, Buhmann C. [Recommendation for the differentiated use of nuclear medical diagnostic for parkinsonian syndromes]. FORTSCHRITTE DER NEUROLOGIE-PSYCHIATRIE 2020; 88:609-619. [PMID: 32957144 DOI: 10.1055/a-1207-0515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
The present work provides an overview of the various nuclear medicine methods in the diagnosis of neurodegenerative parkinsonian syndromes and their respective evidence and is intended to enable practical decision-making aids in the application and interpretation of the methods and findings. The value of the procedures differs considerably in relation to the two relevant diagnostic questions. On the one hand, it is the question of whether there is a neurodegenerative parkinsonian syndrome at all, and on the other hand the question of which one. While the DAT-SPECT is undisputedly the method of choice for answering the first question (taking certain parameters into account), this method is not suitable for answering the second question. To categorise parkinsonian syndromes into idiopathic (i. e. Parkinson´s disease) or atypical, various procedures are used in everyday clinical practice including MIBG scintigraphy, and FDG-PET. We explain why FDG-PET currently is not only the most suitable of these methods to differentiate an idiopathic parkinsonian syndrome, from an atypical Parkinson's syndrome, but also enables sufficiently valid to distinguish the various atypical neurodegenerative Parkinson's syndromes (i. e. MSA, PSP and CBD) from each other and therefore should be reimbursed by health insurances.
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Affiliation(s)
- Thilo van Eimeren
- Uniklinik Köln, Klinik und Poliklinik für Nuklearmedizin; Klinik und Poliklinik für Neurologie; Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE)
| | - Joseph Claßen
- Klinik und Poliklinik für Neurologie, Universitätsklinikum Leipzig
| | - Alexander Drzezga
- Uniklinik Köln, Klinik und Poliklinik für Nuklearmedizin; Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE); Institut für Neurowissenschaften und Medizin (INM-2), Forschungszentrum Jülich
| | - Carsten Eggers
- Klinik für Neurologie, Universitätsklinikum Gießen und Marburg, Standort Marburg; Center for Mind, Brain & Behavior, Marburg
| | | | | | | | | | | | - Hendrik Theis
- Uniklinik Köln, Klinik und Poliklinik für Neurologie
| | - Carsten Buhmann
- Ambulanzzentrum und Neurologische Klinik, Universitätsklinikum Hamburg-Eppendorf
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KWON DOYOUNG, KWON YURI, CHOI YOONHYEOK, HA JINYOUNG, KIM SANGHYUK, EOM GWANGMOON, KIM JIWON. DIFFERENCES IN GAIT PATTERNS BETWEEN PATIENTS WITH SWEDD AND NORMAL SUBJECTS. J MECH MED BIOL 2020. [DOI: 10.1142/s0219519420400229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Whether gait assessment can distinguish patients with scans without evidence of dopaminergic deficit (SWEDD) from normal individuals remains unclear. In the present study, the gait patterns in SWEDD patients and normal individuals were investigated. 10 patients with SWEDD and 10 healthy normal subjects were recruited. A GaitRite linear walkway was used to quantitatively assess level walking. Eight spatiotemporal variables were selected for comparison between two groups. For statistical analysis, independent sample [Formula: see text]-tests were performed to compare between normal individuals and SWEDD patients. Compared with normal individuals, SWEDD patients exhibited a shorter step length ([Formula: see text]). In addition, SWEDD patients showed a wider distribution of heel-to-heel (HH) base of support compared with normal individuals ([Formula: see text]). SWEDD patients had a tendency to deteriorated gait speed ([Formula: see text]) and double-limb support cycle ([Formula: see text]). These results indicate that SWEDD patients adopted a walking strategy that utilized increased step length and width to compensate for deteriorated dynamic balance. These results indicate that quantitative gait assessment could be useful for more accurate diagnosis of SWEDD patients. In addition, understanding clinical features of SWEDD patients might contribute to efficient interventions.
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Affiliation(s)
- DO-YOUNG KWON
- Department of Neurology, Korea University College of Medicine, Ansan Hospital, Ansan City, Republic of Korea
| | - YU-RI KWON
- BK21 Plus Research Institute of Biomedical Engineering, Konkuk University, Chungju, Republic of Korea
| | - YOON-HYEOK CHOI
- School of Biomedical Engineering, Konkuk University, Chungju, Republic of Korea
| | - JIN-YOUNG HA
- School of Biomedical Engineering, Konkuk University, Chungju, Republic of Korea
| | - SANG-HYUK KIM
- School of Biomedical Engineering, Konkuk University, Chungju, Republic of Korea
| | - GWANG-MOON EOM
- School of Biomedical Engineering, Konkuk University, Chungju, Republic of Korea
- BK21 Plus Research Institute of Biomedical Engineering, Konkuk University, Republic of Korea
| | - JI-WON KIM
- School of Biomedical Engineering, Konkuk University, Chungju, Republic of Korea
- BK21 Plus Research Institute of Biomedical Engineering, Konkuk University, Republic of Korea
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KWON DOYOUNG, CHOI YOONHYEOK, KWON YURI, EOM GWANGMOON, KIM JIWON. COMPARISON OF STATIC POSTURAL BALANCE IN PATIENTS WITH SWEDDS AND PARKINSON’S DISEASE. J MECH MED BIOL 2020. [DOI: 10.1142/s0219519420400138] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Differentiating scans without evidence of dopaminergic deficits (SWEDDs) from Parkinson’s disease (PD) is very important to avoid costly and inappropriate interventions. The postural balance strategy patients with SWEDDs are not clear. This study investigates the difference in static postural balance between patients with SWEDDs and PD. Twenty-two patients (11 SWEDDs and 11 PD groups) and 11 control groups were instructed to quietly stand on a custom-made force platform. The outcome measures were, mean distance, 95% confidence ellipse area, mean velocity, mean frequency, peak frequency and peak power derived from the center of pressure (COP) data in overall, medio-lateral (ML) and anterio-posterior (AP) directions. As statistical analysis, ANOVA and post hoc tests were conducted for comparison of patients with SWEDDs and PD. SWEDDs patients presented a smaller postural sway size and a more frequent postural sway mainly in the ML direction ([Formula: see text]). On the contrary, there were no significant differences in mean velocity and peak power. Also, no significant differences existed between SWEDDs and normal subjects ([Formula: see text]). The results reflect that a few COP-based outcome variables might be useful to distinguish SWEDDs patients from PD patients. This study suggests that a static postural balance test can be used for clinical screening and identification of potential SWEDDs.
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Affiliation(s)
- DO-YOUNG KWON
- Department of Neurology, Korea University College of Medicine, Ansan hospital, Ansan-city, Republic of Korea
| | - YOON-HYEOK CHOI
- School of Biomedical Engineering, Konkuk University, Chungju, Republic of Korea
| | - YU-RI KWON
- BK21 Plus Research Institute of Biomedical Engineering, Konkuk University, Chungju, Republic of Korea
| | - GWANG-MOON EOM
- School of Biomedical Engineering, Konkuk University, Chungju, Republic of Korea
- BK21 Plus Research Institute of Biomedical Engineering, Konkuk University, Chungju, Republic of Korea
| | - JI-WON KIM
- School of Biomedical Engineering, Konkuk University, Chungju, Republic of Korea
- BK21 Plus Research Institute of Biomedical Engineering, Konkuk University, Chungju, Republic of Korea
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Kotikova K, Zogala D, Ptacnik V, Trnka J, Kupka K, Vaneckova M, Seidl Z, Diblik P, Heissigerova J, Navratil T, Komarc M, Zak I, Polakova K, Brozova H, Zakharov S. Efficiency of 123I-ioflupane SPECT as the marker of basal ganglia damage in acute methanol poisoning: 6-year prospective study. Clin Toxicol (Phila) 2020; 59:235-245. [PMID: 32762574 DOI: 10.1080/15563650.2020.1802033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
CONTEXT Investigate whether 123I-ioflupane SPECT (DaT SPECT) has the potential as a marker of basal ganglia damage in acute methanol poisoning. METHODS Prospective, single-centre, cohort study of patients with confirmed methanol poisoning was conducted. DaT SPECT was performed twice with semi-quantification using DaTQUANTTM and MRI-based volumetry was calculated. Specific binding ratios (SBR) of striatum, caudate nucleus, and putamen were correlated with laboratory parameters of outcome, volumetric data, and retinal nerve fibres layer (RNFL) thickness measurements. RESULTS Forty-two patients (mean age 46.3 ± 4.2 years; 8 females), including 15 with MRI-detected putamen lesions (group I) and 27 patients with intact putamen (group II), underwent DaT SPECT. Volumetry was calculated in 35 of the patients assessed. SBR values for the left putamen correlated with putamen volume (r = 0.665; p < 0.001). Decreased bilateral SBR values were determined for the striatum and the putamen, but not for the nucleus caudate, in group I (p < 0.05). Significant correlation was observed between the SBR of the posterior putamen and arterial blood pH (r = 0.574; p < 0.001) and other toxicological parameters of severity of poisoning/outcome including serum lactate, glucose, and creatinine concentrations (p < 0.05). The SBR of the posterior putamen positively correlated with the global RNFL thickness (p < 0.05). ROC analysis demonstrated a significant discriminatory ability of SBR of the posterior putamen with AUC = 0.753 (95%CI 0.604-0.902; p = 0.007). The multivariate regression model demonstrated that arterial blood pH, age, and gender were the most significant factors associated with SBR of the posterior putamen. CONCLUSION DaT SPECT demonstrates significant potential for the diagnosis of methanol-induced basal ganglia damage.
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Affiliation(s)
- Katerina Kotikova
- Department of Occupational Medicine, First Faculty of Medicine, Charles University, Prague, Czech Republic.,Toxicological Information Centre, General University Hospital, Prague, Czech Republic
| | - David Zogala
- Institute of Nuclear Medicine, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Vaclav Ptacnik
- Institute of Nuclear Medicine, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Jiri Trnka
- Institute of Nuclear Medicine, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Karel Kupka
- Institute of Nuclear Medicine, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Manuela Vaneckova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Zdenek Seidl
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Pavel Diblik
- Department of Ophthalmology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Jarmila Heissigerova
- Department of Ophthalmology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Tomas Navratil
- Department of Occupational Medicine, First Faculty of Medicine, Charles University, Prague, Czech Republic.,Department of Electrochemistry at the Nanoscale, J. Heyrovsky Institute of Physical Chemistry of the Czech Academy of Sciences, Prague, Czech Republic
| | - Martin Komarc
- Department of Methodology, Faculty of Physical Education and Sport, Charles University, Prague, Czech Republic
| | - Ivan Zak
- Department of Occupational Medicine, First Faculty of Medicine, Charles University, Prague, Czech Republic.,Toxicological Information Centre, General University Hospital, Prague, Czech Republic
| | - Kamila Polakova
- Department of Neurology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Hana Brozova
- Department of Neurology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Sergey Zakharov
- Department of Occupational Medicine, First Faculty of Medicine, Charles University, Prague, Czech Republic.,Toxicological Information Centre, General University Hospital, Prague, Czech Republic
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Siderowf A, Jennings D, Stern M, Seibyl J, Eberly S, Oakes D, Marek K. Clinical and Imaging Progression in the PARS Cohort: Long-Term Follow-up. Mov Disord 2020; 35:1550-1557. [PMID: 32657461 DOI: 10.1002/mds.28139] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 04/27/2020] [Accepted: 05/17/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The PARS (Parkinson Associated Risk Syndrome) study was designed to test whether screening for hyposmia followed by dopamine transporter imaging can identify risk for conversion to clinical PD, and to evaluate progression markers during the prodromal period. METHODS Subjects with hyposmia completed annual clinical evaluations and biennial [123 I]ß-CIT single-photon emission computed tomography scans. Subjects were categorized as normal (>80% age-expected tracer uptake; n = 134), indeterminate (>65-80%; n = 30), and dopamine transporter deficit (≤65%; n = 21) by their baseline scan, and survival analysis was used to compare risk of conversion to motor PD. Progressing to a scan with a dopamine transporter deficit was assessed for those subjects with either normal or indeterminate baseline imaging. RESULTS Over a mean of 6.3 [standard deviation: 2.2] years of follow-up, 67% (n = 14) of dopamine transporter deficit subjects, 20% (n = 6) of dopamine transporter indeterminate subjects, and 4% (n = 6) of dopamine transporter normal subjects converted to a PD diagnosis (P < 0.0001). Among subjects without dopamine transporter deficit at baseline, a reduction to ≤65% age-expected uptake occurred in 12 of 30 (40%) with indeterminate dopamine transporter and 7 of 134 (5%) with no dopamine transporter DAT deficit (P < 0.0001). Imaging conversion during follow-up was associated with subsequent clinical conversion (hazard ratio: 9.6; P = 0.0157). DISCUSSION AND CONCLUSIONS Long-term follow-up of the PARS cohort demonstrated a high rate of conversion to clinical PD in subjects who either had abnormal dopamine transporter imaging at baseline or developed abnormal imaging during follow-up. These data extend the earlier PARS findings and present new results showing the sequence of incident imaging deficit, imaging progression, and clinical changes that occur in prodromal PD. © 2020 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Andrew Siderowf
- Parkinson's Disease and Movement Disorders Center, Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Danna Jennings
- Institute for Neurodegenerative Disorders, New Haven, Connecticut, USA
| | - Matthew Stern
- Parkinson's Disease and Movement Disorders Center, Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John Seibyl
- Institute for Neurodegenerative Disorders, New Haven, Connecticut, USA
| | - Shirley Eberly
- Department of Biostatistics and Computational Biology, University of Rochester, Rochester, New York, USA
| | - David Oakes
- Department of Biostatistics and Computational Biology, University of Rochester, Rochester, New York, USA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, Connecticut, USA
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50
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Buchert R, Buhmann C, Apostolova I, Meyer PT, Gallinat J. Nuclear Imaging in the Diagnosis of Clinically Uncertain Parkinsonian Syndromes. DEUTSCHES ARZTEBLATT INTERNATIONAL 2020; 116:747-754. [PMID: 31774054 DOI: 10.3238/arztebl.2019.0747] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 03/01/2019] [Accepted: 08/08/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Parkinsonian syndromes are classified by etiology mainly on clinical grounds, that is, on the basis of the clinical manifestations and with the aid of conventional ancillary studies. In most cases, the clinical diagnosis is clear. In up to 30% of cases, however, the etiological classification remains uncertain after completion of the basic clinical diagnostic evaluation, and additional investigation with nuclear imaging may be indicated. In particular, cerebral single-photon emission computed tomography (SPECT) with dopamine transporter (DAT) ligands may be helpful. DAT-SPECT can be used to demonstrate or rule out nigrostriatal degeneration and thereby differentiate neurodegenerative parkinsonian syndromes from symptomatic parkinsonian syndromes and other differential diagnoses. Positron emission tomography (PET) with the glucose analogue [18F]fluorodeoxyglucose (FDG) can be used to identify disease-specific patterns of neuronal dysfunction/degeneration in order to differentiate the various neurodegenerative parkinsonian syndromes from one another. METHODS In this review, we summarize the current state of the evidence on DAT-SPECT and FDG-PET for the indications mentioned above on the basis of a selective review of the literature. RESULTS DAT-SPECT has been adequately validated as an in vivo marker for nigrostriatal degeneration. Studies using the clinical diagnosis of a movement disorders specialist over the course of the disease as a reference have shown that DAT- SPECT is 78-100% sensitive (median, 93%) and 70-100% specific (median, 89%) for the differentiation of neurodegenerative parkinsonian syndromes from symptomatic parkinsonism and other differential diagnoses in clinically unclear cases. DAT- SPECT scanning led to a change of diagnosis in 27-56% of patients (median, 43%) and to a change of treatment in 33-72% (median, 43%). FDG-PET enables the differentiation of atypical neurodegenerative parkinsonian syndromes from the idiopathic parkinsonian syndrome (i.e., Parkinson's disease proper) with high sensitivity and specificity (both approximately 90%), when the clinical diagnosis by a movement disorders specialist over the course of the disease is used as a reference. CONCLUSION DAT-SPECT has been well documented to be highly diagnostically accurate and to have a relevant influence on the diagnosis and treatment of patients with clinically uncertain parkinsonian or tremor syndrome. It has not yet been shown to improve patient-relevant endpoints such as mortality, morbidity, and health-related quality of life; proof of this will probably have to await the introduction of neuroprotective treatments. The current evidence for the high differential diagnostic accuracy of FDG-PET in neurodegenerative parkinsonian syndromes needs to be reinforced by prospective studies with neuropathological verification of the diagnosis.
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Affiliation(s)
- Ralph Buchert
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf; Department of Neurology, University Medical Center Hamburg-Eppendorf; Department of Nuclear Medicine, Medical Center-University of Freiburg; Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf
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