Learning Curve for Robot-Assisted Neck Dissection in Head and Neck Cancer

摘要: Importance Robot-assisted neck dissection (RAND) for the management of regional metastases is a recently developed technique in field head and cancer that uses robotic surgical system. This first report estimates learning curve RAND. Objectives To evaluate RAND according to types clinical outcomes. Design, Setting, Participants Prospective case study 90 patients undergoing between May 2010 April 2013 at university tertiary referral center. Interventions Fifty modified radical dissections (MRNDs) 40 supraomohyoid (SONDs) were performed by single surgeon using system treat cancer. The MRND SOND groups subdivided into 5 4 consecutive subgroups 10 each, respectively. Main Outcomes Measures Perioperative parameters compared, including mean operation time, duration amount drainage, length hospital stay, postoperative complications. Results Significant decreases time observed as experience performing increased both groups. group decreased 29% over course our (initial subgroup, 298.1 minutes; last 212.4 minutes). 53% 226.5 106.1 There no significant differences other perioperative parameters. Conclusions Relevance We explored institution 3-year period. can be used timeline reference institutions where procedure will adopted an alternative procedure.