Diagnostic performance of endobronchial ultrasound-guided mediastinal lymph node sampling in early stage non-small cell lung cancer: A prospective study

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46 Scopus citations

Abstract

Background and objective: Standard nodal staging of lung cancer consists of positron emission tomography/computed tomography (PET/CT), followed by endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) if PET/CT shows mediastinal lymphadenopathy. Sensitivity of EBUS-TBNA in patients with N0/N1 disease by PET/CT is unclear and largely based on retrospective studies. We assessed the sensitivity of EBUS-TBNA in this setting. Methods: We enrolled patients with proven or suspected lung cancer staged as N0/N1 by PET/CT and without metastatic disease (M0), who underwent staging EBUS-TBNA. Primary outcome was sensitivity of EBUS-TBNA compared with a composite reference standard of surgical stage or EBUS-TBNA stage if EBUS demonstrated N2/N3 disease. Results: Seventy-five patients were included in the analysis. Mean tumour size was 3.52 cm (±1.63). Fifteen of 75 patients (20%) had N2 disease. EBUS-TBNA identified six while nine were only identified at surgery. Sensitivity of EBUS-TBNA for N2 disease was 40% (95% CI: 16.3–67.7%). Conclusion: A significant proportion of patients with N0/N1 disease by PET/CT had N2 disease (20%) and EBUS-TBNA identified a substantial fraction of these patients, thus improving diagnostic accuracy compared with PET/CT alone. Sensitivity of EBUS-TBNA however appears lower compared with historical data from patients with larger volume mediastinal disease. Therefore, strategies to improve EBUS-TBNA accuracy in this population should be further explored.

Original languageEnglish (US)
Pages (from-to)76-81
Number of pages6
JournalRespirology
Volume23
Issue number1
DOIs
StatePublished - Jan 2018

Keywords

  • bronchoscopy
  • carcinoma
  • endosonography
  • neoplasm staging
  • non-small cell lung

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine

MD Anderson CCSG core facilities

  • Biostatistics Resource Group

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