Korean Journal of Thoracic and Cardiovascular Surgery (Aug 2017)

No Adverse Outcomes of Video-Assisted Thoracoscopic Surgery Resection of cT2 Non-Small Cell Lung Cancer during the Learning Curve Period

  • Zeynep Bilgi,
  • Hasan Fevzi Batırel,
  • Bedrettin Yıldızeli,
  • Korkut Bostancı,
  • Tunç Laçin,
  • Mustafa Yüksel

DOI
https://doi.org/10.5090/kjtcs.2017.50.4.275
Journal volume & issue
Vol. 50, no. 4
pp. 275 – 280

Abstract

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Background: Video-assisted thoracoscopic surgery (VATS) anatomic lung resections are gradually becoming the standard surgical approach in early-stage non-small cell lung cancer (NSCLC). The technique is being applied in cases of larger tumors depending on the experience of the surgical team. The objective of this study was to compare early surgical and survival outcomes in patients undergoing anatomic pulmonary resections using VATS and thoracotomy techniques for clinical T2 NSCLC during the adaptation period of the surgical team to the VATS approach. Methods: The data of all patients who underwent anatomic pulmonary resection for NSCLC using VATS and open techniques since April 2012 were recorded to create a prospective lung cancer database. Clinical T2 NSCLC patients who underwent VATS anatomic lung resection were identified and compared with cT2 patients who underwent open resection. Results: Between April 2012 and August 2014, 269 anatomical resections for NSCLC were performed (80 VATS and 189 thoracotomy). Thirty-four VATS patients who had clinical T2 disease were identified and stage-matched to thoracotomy patients. The average tumor diameter was comparable (34.2±11.1×29.8±10.1 mm vs. 32.3±9.8×32.5±12.2 mm, p=0.4). Major complications were higher in the thoracotomy group (n=0 vs. n=5, p=0.053). There was no 30-day mortality, and the 2-year survival rate was 91% for VATS and 82% for thoracotomy patients (p=0.4). Conclusion: VATS anatomic resections in clinical T2 NSCLC tumors are safe and have perioperative and pathologic outcomes similar to those of thoracotomy, while remaining within the learning curve.

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