Diagnostic Utility of [11C]DTBZ Positron Emission Tomography In Clinically Uncertain Parkinsonism: Experience of a Single Tertiary Center.
Rev Invest Clin
; 70(6): 285-290, 2018.
Article
em En
| MEDLINE
| ID: mdl-30532098
ABSTRACT
BACKGROUND:
The use of single-photon emission computed tomography and positron emission tomography (PET) has proven to be helpful in differentiating Parkinson's disease (PD) from other movement disorders with a sensitivity of up to 95%.OBJECTIVE:
The objective of this study was to determine the accuracy of [11C]DTBZ PET imaging in patients with clinically uncertain parkinsonism from a tertiary referral center in Mexico City. MATERIALS ANDMETHODS:
Patients who underwent [11C]DTBZ PET brain scan due to clinically uncertain parkinsonism where divided into two groups PD or non-PD. A scan was considered positive when visual assessment revealed a decrease in [11C]DTBZ uptake typical for PD; a scan was considered negative when visual assessment showed no decrease in [11C]DTBZ uptake or showed a decrease in tracer uptake in a non-PD pattern. Sensitivity, specificity, and positive and negative predictive values were calculated using a 2 × 2 table, with a 95% confidence interval.RESULTS:
A total of 39 patients were included in the study. 14 PET studies were deemed positive and 25 PET studies were deemed negative; 12 true positives and 23 true negatives were found. This yielded a sensitivity of 92.9% (95% CI, 66.1-99.8), specificity of 92% (95% CI, 74-99), PPV of 86.7% (95% CI, 63.1-96.1), and NPV of 95.8% (95% CI, 79.1-98.4).CONCLUSIONS:
The [11C]DTBZ PET has an excellent accuracy for differentiating idiopathic PD from other disorders.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Doença de Parkinson
/
Encéfalo
/
Tomografia Computadorizada de Emissão de Fóton Único
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Transtornos Parkinsonianos
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Adult
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Aged
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Female
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Humans
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Male
/
Middle aged
País/Região como assunto:
Mexico
Idioma:
En
Revista:
Rev Invest Clin
Ano de publicação:
2018
Tipo de documento:
Article