Introduction: Computed tomography (CT) has been approved for diagnosing chronic obstructive pulmonary disease (COPD). The diagnostic accuracy, however, has never been examined in a systematic review. Therefore, we conducted a meta-analysis to evaluate the accuracy of CT in diagnosing COPD.
Methods: Articles reporting diagnostic accuracy of CT for COPD were searched from seven electronic databases and hand searching. Two reviewers independently extracted data and assessed methodological quality. Sensitivity (SEN), specificity (SPE), positive and negative likelihood ratios (LR+ and LR-, respectively), and diagnostic odds ratios (DOR) were pooled using a bivariate model. The diagnostic performance of overall test also was assessed using the visual power of the ROC plot to present the bivariate model. Potential between-study heterogeneity was explored using subgroup analyses.
Results: Data were extracted from 8 studies that met the inclusion criteria. All summary measures were grossly heterogeneous and therefore would not be appropriately summarized. These studies were further stratified by type of imaging technique and test index. The summary estimates of CT for COPD were as follows: SEN, 0.83(95% CI, 0.73-0.89); SPE, 0.87(95% CI, 0.70-0.95); LR+, 6.2(95% CI, 2.5-15.5); LR-, 0.20(95% CI, 0.12-0.34); and DOR, 31(95% CI, 8-116). The five summary estimates of CT on the lung density were 0.80 (95% CI, 0.74-0.84), 0.77(95% CI, 0.58-0.89), 3.5(95% CI, 1.8-6.9), 0.26(95% CI, 0.20-0.34) and 13(95% CI, 6-32), respectively.
Conclusions: The current meta-analyses suggest that quantitative measures of CT may be useful to diagnose COPD. Developed CT technology may improve the accuracy of diagnosis. Further studies assessed diagnostic performance of CT are needed.