Assessment of Quality Outcomes and the Learning Curve for Robot-Assisted Anatomical Lung Resections.

Journal: Journal of laparoendoscopic & advanced surgical techniques. Part A
Published Date:

Abstract

To determine the perioperative quality assessment results and learning curves for robot-assisted anatomical lung resection. We analyzed the data of the initial 400 patients who underwent lobectomies or segmentectomies by 1 surgeon from January 2020 to November 2021. The learning curve was analyzed using cumulative sum analysis. The surgical experience was divided into an initial phase (1st-40th procedures), a transition phase (41st-131st procedures), and a proficient phase (132nd procedure onward). The operative time showed a conspicuously continuous improvement over the 400 consecutive patients. After the 120th procedure, there were significant improvements in the rate of persistent air leakage (11.7% versus 3.9%;  = .003), chest tube duration (3.92 ± 1.91 versus 2.99 ± 1.31,  = .00), and postoperative hospital stay (6.22 ± 2.02 versus 4.93 ± 1.44,  = .00). In conclusion, 40 patients were necessary to pass the learning curve, and technical proficiency with favorable perioperative outcomes was achieved after 120-130 patients.

Authors

  • Hao Xu
    Department of Nuclear Medicine, the First Affiliated Hospital, Jinan University, Guangzhou 510632, P.R.China.gdhyx2012@126.com.
  • Linyou Zhang
    Department of Thoracic Surgery, The Second Hospital Affiliated to Harbin Medical University, Harbin, China.