Diagnostic performance of SPECT in lumbar spondylolysis: a systematic review and meta-analysis.

AIM: To evaluate the diagnostic value and clinical applicability of single-photon-emission computed tomography (SPECT) for lumbar spondylolysis using meta-analysis. MATERIALS AND METHODS: Stata 12.0, was used to test the heterogeneity, and the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and other effect sizes were collected to generate the summary receiver operating characteristic (SROC) curve for comprehensive evaluation. Meta-regression analysis was used to explore the source of heterogeneity, and subgroup analysis was performed. Funnel plots, Fagan's line diagrams, and likelihood ratio dot plots were drawn to evaluate publication bias and clinical applicability. RESULTS: Eight studies involving 785 patients were included. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, odds ratio, and area under the SROC curve of SPECT for the diagnosis of lumbar spondylolysis were 0.85 (95% confidence interval [CI]: 0.70 0.93), 0.92 (95% CI: 0.60 0.99), 11.01 (95% CI: 1.61 75.18), 0.17 (95% CI: 0.08 0.35), 0.92 (95% CI: 0.90 0.94). Meta-regression analysis showed that the sources of heterogeneity were region and age. Subgroup analysis showed that the specificity of the child and adolescent subgroup was significantly higher than that of the middle-aged and elderly subgroups. Deek's funnel plots showed no significant publication bias. The pooled effect of the likelihood ratio dot plot for diagnosis is in the upper-right quadrant. CONCLUSION: As a diagnostic tool for spondylolysis, SPECT has a high degree of specificity, moderate sensitivity, and relatively high diagnostic effectiveness. It can be used as an auxiliary sign in the diagnosis and treatment of lumbar spondylolysis.