» Articles » PMID: 25487733

Dopamine Transporter Imaging As a Diagnostic Tool for Parkinsonism and Related Disorders in Clinical Practice

Overview
Specialty Neurology
Date 2014 Dec 10
PMID 25487733
Citations 58
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Accurate diagnosis of Parkinson disease (PD) and other degenerative parkinsonian syndromes is important for management and prognostic purposes. Diagnosis can be challenging in early disease and in atypical cases.

Methods: We reviewed the literature on the application of dopamine transporter single-photon emission computed tomography (DAT-SPECT) in degenerative parkinsonism and related disorders as a diagnostic tool.

Results: The use of DAT-SPECT shows some utility in the early diagnosis of PD and differentiation from other non-degenerative parkinsonian disorders (i.e. essential tremor, dystonic tremor, drug-induced and in most cases of psychogenic parkinsonism), since it can accurately detect the presynaptic dopaminergic deficit. The test has been shown to have high sensitivity/specificity by multiple studies. DAT imaging may also have some prognostic value for disease progression. However, it has limited value in differentiating among degenerative causes of parkinsonism. DAT imaging has some limitations. In most studies, true test accuracy is unknown since the gold standard is clinical diagnosis by a movement disorders neurologist. Therefore, the sensitivity of the test cannot exceed that of the clinical diagnosis. In addition, false negative scans occur and highlight the need for clinical follow-up.

Conclusion: Clinical assessment remains the most important aspect in evaluating these patients. DAT-SPECT is a sensitive modality to detect nigrostriatal degeneration. In spite of increasing data using this technique, however, more long-term clinical studies are required to determine how DAT-SPECT scan can guide decision-making.

Citing Articles

Missed Insights for Earlier Management of Parkinson's Disease and the Value of Dopamine Transporter (DAT) Scans.

Hafeez M, Eoff E, Wei J, Azhar G Geriatrics (Basel). 2024; 9(5).

PMID: 39451858 PMC: 11507427. DOI: 10.3390/geriatrics9050126.


Aging-related biomarkers for the diagnosis of Parkinson's disease based on bioinformatics analysis and machine learning.

Yang W, Xu S, Zhou M, Chan P Aging (Albany NY). 2024; 16(17):12191-12208.

PMID: 39264583 PMC: 11424590. DOI: 10.18632/aging.205954.


Short term cardiovascular symptoms improvement after deep brain stimulation in patients with Parkinson's disease: a systematic review.

Cucinotta F, Swinnen B, Makovac E, Hirschbichler S, Pereira E, Little S J Neurol. 2024; 271(7):3764-3776.

PMID: 38809271 PMC: 11233308. DOI: 10.1007/s00415-024-12459-1.


Sex differences for clinical correlates of substantia nigra neuron loss in people with Lewy body pathology.

Bayram E, Coughlin D, Rajmohan R, Litvan I Biol Sex Differ. 2024; 15(1):8.

PMID: 38243325 PMC: 10797801. DOI: 10.1186/s13293-024-00583-6.


Neuroimaging Techniques in Differentiating Parkinson's Disease from Drug-Induced Parkinsonism: A Comprehensive Review.

Rissardo J, Caprara A Clin Pract. 2023; 13(6):1427-1448.

PMID: 37987429 PMC: 10660852. DOI: 10.3390/clinpract13060128.