Neuropathological correlation supports automated image-based differential diagnosis in parkinsonism.
Differential diagnosis
FDG PET
Network analysis
Neuropathology
Parkinsonism
Journal
European journal of nuclear medicine and molecular imaging
ISSN: 1619-7089
Titre abrégé: Eur J Nucl Med Mol Imaging
Pays: Germany
ID NLM: 101140988
Informations de publication
Date de publication:
10 2021
10 2021
Historique:
received:
03
12
2020
accepted:
07
03
2021
pubmed:
12
4
2021
medline:
21
10
2021
entrez:
11
4
2021
Statut:
ppublish
Résumé
Up to 25% of patients diagnosed as idiopathic Parkinson's disease (IPD) have an atypical parkinsonian syndrome (APS). We had previously validated an automated image-based algorithm to discriminate between IPD, multiple system atrophy (MSA), and progressive supranuclear palsy (PSP). While the algorithm was accurate with respect to the final clinical diagnosis after long-term expert follow-up, its relationship to the initial referral diagnosis and to the neuropathological gold standard is not known. Patients with an uncertain diagnosis of parkinsonism were referred for At the time of referral to PET, the clinical impression was only 66.7% accurate. The algorithm correctly identified 80% of the cases as IPD or APS (p = 0.02) and 87.5% of the APS cases as MSA or PSP (p = 0.03). The final clinical diagnosis was 93.3% accurate (p < 0.001), but needed several years of expert follow-up. The image-based classifications agreed well with autopsy and can help to improve diagnostic accuracy during the period of clinical uncertainty.
Identifiants
pubmed: 33839891
doi: 10.1007/s00259-021-05302-6
pii: 10.1007/s00259-021-05302-6
pmc: PMC8440366
mid: NIHMS1706766
doi:
Substances chimiques
Fluorodeoxyglucose F18
0Z5B2CJX4D
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
3522-3529Subventions
Organisme : NINDS NIH HHS
ID : P50 NS071675
Pays : United States
Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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