Diagnostic yield and safety of diagnostic techniques for pulmonary lesions: systematic review, meta-analysis and network meta-analysis

Abstract

BACKGROUND: With recent advancements in bronchoscopic procedures, data on the best modality to sample peripheral pulmonary lesions (PPLs) is lacking, especially comparing bronchoscopy with computed tomography-guided transthoracic biopsy or needle aspiration (CT-TBNA). METHODS: We performed a meta-analysis, pairwise meta-analysis and network meta-analysis on studies reporting diagnostic yield and complications with the use of CT-TBNA, radial endobronchial ultrasound (rEBUS), virtual bronchoscopy (VB), electromagnetic navigation (EMN) or robot-assisted bronchoscopy (RAB) to sample PPLs. The primary outcome was diagnostic yield and the secondary outcome was complications. We estimated the relative risk ratios using a random-effects model and used the frequentist approach for the network meta-analysis. We performed extensive analysis to assess the heterogeneity including reporting bias, publication bias, subgroup and meta-regressional analysis. We assessed the quality of the studies using Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) and QUADAS-Comparative (QUADAS-C). RESULTS: We included 363 studies. The overall pooled diagnostic yield was 78.1%, the highest with CT-TBNA (88.9%), followed by RAB (84.8%) and the least with rEBUS (72%). In the pairwise meta-analysis, only rEBUS showed inferiority to CT-TBNA. The network meta-analysis ranked CT-TBNA as likely the most effective approach followed by VB, EMN and RAB, while rEBUS was the least effective, with a low-GRADE certainty. CT-TBNA had the highest rate of complications. CONCLUSION: Although CT-TBNA is the most effective approach to sample PPLs, RAB has a comparable diagnostic yield with a lesser complication rate. Further prospective studies are needed comparing CT-TBNA and RAB.

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