» Articles » PMID: 24779862

[¹²³I]FP-CIT SPECT (DaTSCAN) May Be a Useful Tool to Differentiate Between Parkinson's Disease and Vascular or Drug-induced Parkinsonisms: a Meta-analysis

Overview
Journal Eur J Neurol
Publisher Wiley
Specialty Neurology
Date 2014 May 1
PMID 24779862
Citations 32
Authors
Affiliations
Soon will be listed here.
Abstract

Background And Purpose: Differentiating idiopathic Parkinson's disease from secondary parkinsonian syndromes is crucial since their management and prognosis differ considerably. Functional imaging of the dopaminergic pathway by means of [¹²³I]FP-CIT SPECT (DaTSCAN) might be useful in this regard, but its role is still controversial. The accuracy of DaTSCAN in the differential diagnosis between Parkinson's disease and vascular or drug-induced parkinsonism was therefore systematically reviewed.

Methods: MEDLINE and CENTRAL were searched for studies aiming to determine accuracy measures (sensitivity, specificity, diagnostic odds ratio, positive and negative likelihood ratios) of DaTSCAN in differentiating between Parkinson's disease and vascular or drug-induced parkinsonism.

Results: Five studies were included. Pooled accuracy measures in differentiating between Parkinson's disease and vascular or drug-induced parkinsonism were relatively high, with sensitivity and specificity values above 85% and 80%, respectively.

Conclusions: DaTSCAN might accurately differentiate between early Parkinson's disease and secondary parkinsonian conditions, namely vascular or drug-induced, in patients with clinically unclear parkinsonism. However, all the studies reviewed here show several methodological limits, which prevent definitive conclusions on the role of DaTSCAN being drawn in this context. Further studies are needed to confirm our results and definitely evaluate the utility of DaTSCAN in differentiating between Parkinson's disease and vascular or drug-induced parkinsonism.

Citing Articles

Risk of subsequent Parkinson's disease among patients with bipolar disorder or major depression: A nationwide longitudinal study in Taiwan.

Huang M, Cheng C, Hsu J, Bai Y, Su T, Li C Psychiatry Clin Neurosci. 2024; 79(1):29-36.

PMID: 39484734 PMC: 11693976. DOI: 10.1111/pcn.13759.


Relevance of I-FP-CIT SPECT prescriptions for the diagnosis of parkinsonian syndromes.

Houot M, Arnaud S, Mongin M, Pop G, Soussan M, Lannuzel A Sci Rep. 2024; 14(1):25088.

PMID: 39443529 PMC: 11500384. DOI: 10.1038/s41598-024-73777-y.


Neuroimaging and fluid biomarkers in Parkinson's disease in an era of targeted interventions.

Zarkali A, Thomas G, Zetterberg H, Weil R Nat Commun. 2024; 15(1):5661.

PMID: 38969680 PMC: 11226684. DOI: 10.1038/s41467-024-49949-9.


Adequate diagnosis of the cause of Parkinsonism and treatment in an elderly patient with schizophrenia: A case report.

Yoshioka D, Yamanashi T, Iwata M PCN Rep. 2024; 2(1):e71.

PMID: 38868408 PMC: 11114423. DOI: 10.1002/pcn5.71.


Optimization of [F]-FDOPA Brain PET Acquisition Times for Assessment of Parkinsonism in the Clinical Setting.

Keir G, Mashriqi F, Caravella C, Clouston S, Rini J, Franceschi A AJNR Am J Neuroradiol. 2024; 45(6):781-787.

PMID: 38663986 PMC: 11288601. DOI: 10.3174/ajnr.A8207.