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Diagnostic accuracy of 123I-FP-CIT (DaTSCAN) in dementia with Lewy bodies: A meta-analysis of published studies

Journal

PARKINSONISM & RELATED DISORDERS
Volume 18, Issue 3, Pages 225-229

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.parkreldis.2011.09.015

Keywords

I-123-FP-CIT; DaTSCAN; Dopamine transporter; Lewy body dementia; Meta-analysis

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Purpose: A systematic meta-analysis of published studies on the diagnostic accuracy of presynaptic dopaminergic imaging with I-123-FP-CIT (DaTSCAN) in dementia with Lewy bodies (DLB). Methods: We included (a) studies in which DaTSCAN was performed in cases of diagnostic uncertainty to differentiate between DLB and non-DLB dementia and (b) studies of patients with already established diagnoses of DLB, non-DLB dementia, or normalcy, against which the diagnostic accuracy of DaTSCAN was tested. We applied fixed-effects Mantel-Haenszel and hierarchical logistic regression models for meta-analysis of the diagnostic test's accuracy. The pooled sensitivity, specificity and diagnostic odds ratio (DOR) were estimated. Heterogeneity among studies was estimated by calculating the corresponding I-2 statistic. We tested for publication or other bias by creating the respective funnel plot. Results: Four studies, with a total of 419 subjects, were judged to be suitable for meta-analysis. According to hierarchical models, the estimated pooled sensitivity of DaTSCAN in differentiating DLB versus no DLB was 86.5% [95% Confidence Intervals (Cl): 72-94.1%], the specificity was 93.6% (95% Cl: 88.5-96.6%), and the DOR was 94.2 (95% Cl: 25.7-345). The Mantel-Haenszel estimate of overall DOR was calculated at 48.95 (95% CI: 26.16-91.59). There was some heterogeneity among studies (I-2 = 45%), but this was not found statistically significant (chi(2) test for heterogeneity p value = 0.142). Funnel plot analysis showed no significant bias. Conclusion: Allowing for the small number of studies in the meta-analysis, our results showed high diagnostic accuracy of DaTSCAN in DLB diagnosis, especially in terms of specificity. (C) 2011 Elsevier Ltd. All rights reserved.

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