Pulmonology (Dec 2025)

The diagnostic performance and optimal strategy of cone beam CT-assisted bronchoscopy for peripheral pulmonary lesions: A systematic review and meta-analysis

  • Huijie Yang,
  • Junfeng Huang,
  • Yu Zhang,
  • Jiaming Guo,
  • Shuojia Xie,
  • Ziwen Zheng,
  • Yuqin Ma,
  • Qilin Deng,
  • Changhao Zhong,
  • Shiyue Li

DOI
https://doi.org/10.1080/25310429.2024.2420562
Journal volume & issue
Vol. 31, no. 1

Abstract

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Cone-beam computed tomography (CBCT) assisted bronchoscopy shows prospective advantages in diagnosing peripheral pulmonary lesions (PPLs), but its diagnostic value and potential influencing factors remain unclear. What is the clinical value and optimal strategy of CBCT-assisted bronchoscopy in diagnosing PPLs? The references were searched from PubMed, EmBase, and Web of Science. Studies reporting diagnostic yield and potential influencing factors of CBCT-assisted bronchoscopy were included. The navigational success rate, diagnostic rate, complication rate, and potential influencing factors were pooled by random-effects model and meta-regression. A total of 1,441 patients with 1,540 lesions from 15 studies were included in our meta-analysis. The pooled navigational success rate (97.0% vs 81.6%; odds ratio [OR] 5.12) and diagnostic rate (78.5% vs 55.7%; OR 2.51) of the CBCT-assisted group were significantly higher than those without CBCT. The complication rate of CBCT-assisted bronchoscopy was 4.4% (95%CI: 0.02–0.07). Cone-beam CT combined with r-EBUS can achieve the highest diagnostic rate. Applying positive end-expiratory pressure could improve the diagnostic rate and reduce the complication rate (p < 0.05). Lesions located in the upper lobe could achieve a higher diagnostic rate and lesions located in the right lobes could get a lower complication rate (p < 0.05). Cone-beam CT combined with r-EBUS seems to be the effective and optimal approach to ameliorate the navigation success rate and diagnostic rate of diagnosing PPLs. Clinical trial registration: This study was registered in PROSPERO (Registration Number: CRD42022378992). URL: PROSPERO (york.ac.uk).

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