Background: This study sought to evaluate the impact of a da Vinci Xi surgical robot on perioperative outcomes after pulmonary resections.

Methods: A retrospective analysis of prospectively collected STS data was performed at a single institution for patients who underwent elective lung resections from 2012 to 2019. Patient outcomes were compared at three different time periods: before the adoption of the robot technology (predominately VATS), during the initial robot experience (the first 18 months), and after the mature robot experience (the second 18 months). Univariate and multivariate logistic regression modeling was performed to determine the factors associated with perioperative complications.

Results: Five hundred and four patients underwent pulmonary resection between the three time periods: 220 patients (43.7%) had surgery prior to the first use of the robot (predominately VATS), 126 patients (25%) had surgery during the initial experience with robot, and 158 patients (31.1%) had surgery during the mature robot experience. There were significantly less post-operative complications (15.2% vs. 34.9% vs. 39.1%, P<0.001), shorter median length of stay (2 vs. 3 vs. 4 days, P<0.001), and lower hospital readmission rates (1.9% vs. 4% vs. 11.8%, P<0.001) in the mature robot period compared to the initial robot period and the predominately VATS period, respectively. Multivariate analysis showed that the robot was associated with a decrease in post-operative complications (OR 0.36; 95% CI, 0.23-0.57, P<0.001).

Conclusions: The adoption of a da Vinci Xi robot in our institution was associated with improved outcomes in patients having pulmonary resections.

Original languageEnglish (US)
Pages (from-to)3561-3572
Number of pages12
JournalJournal of Thoracic Disease
Issue number7
StatePublished - Jul 1 2020


  • Da Vinci Xi robot
  • Lobectomy
  • Minimally invasive surgery
  • Robot assisted lung resection
  • Surgical outcome
  • VATS lung resection

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine


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