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Initial Experience on Endobronchial Ultrasound-guided Transbronchial Needle Aspiration in the Diagnosis and Staging of Lung Cancer

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  • معلومة اضافية
    • بيانات النشر:
      Chinese Anti-Cancer Association; Chinese Antituberculosis Association
    • الموضوع:
      2010
    • Collection:
      Directory of Open Access Journals: DOAJ Articles
    • نبذة مختصرة :
      Background and objective It has been proven that endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) was a new minimally invasive method in the diagnosis for mediastinal lymph nodes. The aim of this study is to evaluate the diagnostic and staging yield of EBUS-TBNA for lung cancer. Methods Seventy-five patients with tumors and enlarged mediastinal lymph nodes found by CT underwent the diagnosis by endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) from April 1, 2009 to Febuary 8, 2010. The sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy of EBUS-TBNA were evaluated. Results Seventy-five patients with 177 lymph node groups (2.4 groups in average) were studied. Histopathological samples were found in 49.33% patients and in 28.81% groups. Overall sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy of EBUS-TBNA for diagnostic were 98.43%, 100.00%, 100.00%, 91.67% and 98.66%, respectively, in per patient analysis and were 95.10%, 100%, 100.00%, 82.93%, and 96.05%, respectively, in per group analysis, higher than CT examination (P < 0.05) expect for sensitivity (P=0.435). Staging changed in 19 (26.03%) patients after EBUS-TBNA. Conclusion EBUS-TBNA proved to be a safe procedure with a high yield for the diagnosis of lung cancer.
    • ISSN:
      1009-3419
      1999-6187
    • Relation:
      http://www.lungca.org/index.php?journal=01&page=article&op=viewFile&path[]=10.3779%2Fj.issn.1009-3419.2010.05.11&path[]=1477; https://doaj.org/toc/1009-3419; https://doaj.org/toc/1999-6187; https://doaj.org/article/f974a628bc2e45f9b7b20a3481db1c88
    • الرقم المعرف:
      edsbas.C64FF4E3