Diagnostic accuracy of dual-energy computed tomography in patients with gout: A meta-analysis
- Authors
- Lee, Young Ho; Song, Gwan Gyu
- Issue Date
- 8월-2017
- Publisher
- W B SAUNDERS CO-ELSEVIER INC
- Keywords
- Gout; DECT; Diagnostic accuracy; Meta-analysis
- Citation
- SEMINARS IN ARTHRITIS AND RHEUMATISM, v.47, no.1, pp.95 - 101
- Indexed
- SCIE
SCOPUS
- Journal Title
- SEMINARS IN ARTHRITIS AND RHEUMATISM
- Volume
- 47
- Number
- 1
- Start Page
- 95
- End Page
- 101
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/82642
- DOI
- 10.1016/j.semarthrit.2017.03.002
- ISSN
- 0049-0172
- Abstract
- Objective: This study aimed to evaluate the diagnostic performance of dual-energy computed tomography (DECT) for patients with gout. Methods: We searched the Medline, Embase, and Cochrane Library databases, and performed a meta analysis on the diagnostic accuracy of DECT in patients with gout. Results: A total of eight studies including 510 patients with gout and 268 controls (patients with non gout inflammatory arthritis) were available for the meta-analysis. The pooled sensitivity and specificity of DECT were 84.7% (95% confidence interval [CI]: 81.3-87.7) and 93.7% (93.0-96.3), respectively. The positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 9.882 (6.122-15.95), 0.163 (0.097-0.272), and 78.10 (31.14-195.84), respectively. The area under the curve of DECT was 0.956 and the Q(*) index was 0.889, indicating a high diagnostic accuracy. Some between-study heterogeneity was found in the meta-analyses. However, there was no evidence of a threshold effect (Spearman correlation coefficient = 0.419; p = 0.035). In addition, meta-regression showed that the sample size, study design, and diagnostic criteria were not sources of heterogeneity, and subgroup meta-analyses did not change the overall diagnostic accuracy. Conclusions: Our meta-analysis of published studies demonstrates that DECT has a high diagnostic accuracy and plays an important role in the diagnosis of gout. (C) 2017 Elsevier Inc. All rights reserved.
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