Transbronchial needle aspiration in peripheral pulmonary lesions: a systematic review and meta-analysis

Author:

Mondoni Michele,Sotgiu Giovanni,Bonifazi Martina,Dore Simone,Parazzini Elena Maria,Carlucci Paolo,Gasparini Stefano,Centanni Stefano

Abstract

Fluoroscopy-guided transbronchial needle aspiration (TBNA) has long been used in the diagnosis of peripheral pulmonary lesions (PPLs), although its diagnostic performance varies considerably.We conducted a systematic review and meta-analysis evaluating the accuracy of TBNA in the diagnosis of PPLs, comparing its diagnostic yield with transbronchial biopsy (TBB) and assessing the main predictors of a successful aspirate.In 18 studies, the overall TBNA yield was 0.53 (95% CI 0.44–0.61). TBNA showed a higher accuracy when directly compared to TBB (0.60 (95% CI 0.49–0.71) versus 0.45 (95% CI 0.37–0.54)). The subgroup analyses documented a higher TBNA yield when the computed tomography (CT) bronchus sign was present (0.70 (95% CI 0.63–0.77) versus 0.51 (95% CI 0.38–0.64)), when rapid on-site evaluation (ROSE) was performed (0.62 (95% CI 0.43–0.79) versus 0.51 (95% CI 0.42–0.60)), in the case of malignant lesions (0.55 (95% CI 0.44–0.66) versus 0.17 (95% CI 0.11–0.24)) and for lesions >3 cm (0.81 (95% CI 0.73–0.87) versus 0.55 (95% CI 0.47–0.63)).Conventional TBNA is a useful sampling technique for the diagnosis of PPL, with a higher diagnostic yield than TBB. The presence of CT bronchus sign, an underlying malignant process, lesion size >3 cm and ROSE employment are predictors of a higher yield.

Publisher

European Respiratory Society (ERS)

Subject

Pulmonary and Respiratory Medicine

Cited by 67 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3