Neuropathologic Validation and Diagnostic Accuracy of Presynaptic Dopaminergic Imaging in the Diagnosis of Parkinsonism.


Journal

Neurology
ISSN: 1526-632X
Titre abrégé: Neurology
Pays: United States
ID NLM: 0401060

Informations de publication

Date de publication:
11 Jun 2024
Historique:
medline: 17 5 2024
pubmed: 17 5 2024
entrez: 17 5 2024
Statut: ppublish

Résumé

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. 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. 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%). 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. This study provides Class II evidence that DAT imaging does not accurately distinguish between presynaptic dopaminergic parkinsonism and non-presynaptic dopaminergic parkinsonism.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
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 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 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 CONCLUSIONS
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 METHODS
This study provides Class II evidence that DAT imaging does not accurately distinguish between presynaptic dopaminergic parkinsonism and non-presynaptic dopaminergic parkinsonism.

Identifiants

pubmed: 38759132
doi: 10.1212/WNL.0000000000209453
doi:

Types de publication

Journal Article Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

e209453

Auteurs

Alexandra Hastings (A)

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 (P)

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 (S)

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 (T)

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 (HR)

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 (JC)

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 (Z)

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 (TT)

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 (E)

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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