Minimally Invasive Methods for Staging in Lung Cancer: Systematic Review and Meta-Analysis.
Gonzalo LabarcaCarlos AravenaFrancisco OrtegaAlex ArenasAdnan MajidErik FolchHiren J MehtaMichael A JantzSebastian Fernandez-BussyPublished in: Pulmonary medicine (2016)
Introduction. Endobronchial ultrasound (EBUS) is a procedure that provides access to the mediastinal staging; however, EBUS cannot be used to stage all of the nodes in the mediastinum. In these cases, endoscopic ultrasound (EUS) is used for complete staging. Objective. To provide a synthesis of the evidence on the diagnostic performance of EBUS + EUS in patients undergoing mediastinal staging. Methods. Systematic review and meta-analysis to evaluate the diagnostic yield of EBUS + EUS compared with surgical staging. Two researchers performed the literature search, quality assessments, data extractions, and analyses. We produced a meta-analysis including sensitivity, specificity, and likelihood ratio analysis. Results. Twelve primary studies (1515 patients) were included; two were randomized controlled trials (RCTs) and ten were prospective trials. The pooled sensitivity for combined EBUS + EUS was 87% (CI 84-89%) and the specificity was 99% (CI 98-100%). For EBUS + EUS performed with a single bronchoscope group, the sensitivity improved to 88% (CI 83.1-91.4%) and specificity improved to 100% (CI 99-100%). Conclusion. EBUS + EUS is a highly accurate and safe procedure. The combined procedure should be considered in selected patients with lymphadenopathy noted at stations that are not traditionally accessible with conventional EBUS.
Keyphrases
- fine needle aspiration
- ultrasound guided
- lymph node
- minimally invasive
- pet ct
- patients undergoing
- randomized controlled trial
- sentinel lymph node
- systematic review
- ejection fraction
- neoadjuvant chemotherapy
- clinical trial
- radiation therapy
- prognostic factors
- deep learning
- machine learning
- electronic health record
- quality improvement
- chronic kidney disease
- artificial intelligence
- structural basis
- robot assisted
- data analysis
- patient reported outcomes