Xu Hao1, Wang Jun1, Chang Xiaoyan1, Zhang Linyou2. 1. Department of Thoracic Surgery, The Second Hospital Affiliated to Harbin Medical University, #148 Baojian Road, Harbin, 150001, China. 2. Department of Thoracic Surgery, The Second Hospital Affiliated to Harbin Medical University, #148 Baojian Road, Harbin, 150001, China. hmulyzhang@outlook.com.
Abstract
BACKGROUND: Robot-assisted thoracic surgery has gradually been accepted as an alternative treatment for early-stage non-small-cell lung cancer (NSCLC) owing to its advantages. However, severe incomplete interlobar fissure may lead to a high rate of conversion and postoperative morbidity. This retrospective study was conducted to assess the safety and efficiency of robot-assisted lung resection for patients with incomplete fissures (IFs). METHODS: A retrospective review of medical records was performed in our institution from March 2021 to November 2021, and 207 patients with NSCLC who underwent robot-assisted anatomic lung resection were included in this study. Patients were divided into the IF group and the complete fissure (CF) group according to the level of fissure, which was determined based on the anatomical classification of pulmonary fissures. RESULTS: The number of patients in the IF and CF groups was 87 and 120, respectively. In univariate analysis, there were no statistically significant differences between the two groups in terms of operative time (p = 0.66), intraoperative blood loss (p = 0.26), chest tube duration (p = 0.41), incidence of prolonged air leakage (PAL, p = 0.49), or length of postoperative hospital stay (p = 0.25). No patients experienced bronchopleural fistula, pneumonia, or cardiovascular complications. The total cost in the IF group was higher than that in the CF group (¥83,655 ± 13,314 versus ¥78,211 ± 11,980, p = 0.002). CONCLUSION: IF does not increase the difficulty of lung cancer surgery with robotic platforms. Robot-assisted anatomic lung resection using the tunnel technique is an effective and safe method for IF patients.
BACKGROUND: Robot-assisted thoracic surgery has gradually been accepted as an alternative treatment for early-stage non-small-cell lung cancer (NSCLC) owing to its advantages. However, severe incomplete interlobar fissure may lead to a high rate of conversion and postoperative morbidity. This retrospective study was conducted to assess the safety and efficiency of robot-assisted lung resection for patients with incomplete fissures (IFs). METHODS: A retrospective review of medical records was performed in our institution from March 2021 to November 2021, and 207 patients with NSCLC who underwent robot-assisted anatomic lung resection were included in this study. Patients were divided into the IF group and the complete fissure (CF) group according to the level of fissure, which was determined based on the anatomical classification of pulmonary fissures. RESULTS: The number of patients in the IF and CF groups was 87 and 120, respectively. In univariate analysis, there were no statistically significant differences between the two groups in terms of operative time (p = 0.66), intraoperative blood loss (p = 0.26), chest tube duration (p = 0.41), incidence of prolonged air leakage (PAL, p = 0.49), or length of postoperative hospital stay (p = 0.25). No patients experienced bronchopleural fistula, pneumonia, or cardiovascular complications. The total cost in the IF group was higher than that in the CF group (¥83,655 ± 13,314 versus ¥78,211 ± 11,980, p = 0.002). CONCLUSION: IF does not increase the difficulty of lung cancer surgery with robotic platforms. Robot-assisted anatomic lung resection using the tunnel technique is an effective and safe method for IF patients.
Authors: Michael S Kent; Matthew G Hartwig; Eric Vallières; Abbas E Abbas; Robert J Cerfolio; Mark R Dylewski; Thomas Fabian; Luis J Herrera; Kimble G Jett; Richard S Lazzaro; Bryan Meyers; Brian A Mitzman; Rishindra M Reddy; Michael F Reed; David C Rice; Patrick Ross; Inderpal S Sarkaria; Lana Y Schumacher; William B Tisol; Dennis A Wigle; Michael Zervos Journal: Ann Surg Date: 2021-09-16 Impact factor: 13.787
Authors: Chukwumere E Nwogu; Jonathan D'Cunha; Herbert Pang; Lin Gu; Xiaofei Wang; William G Richards; Linda J Veit; Todd L Demmy; David J Sugarbaker; Leslie J Kohman; Scott J Swanson Journal: Ann Thorac Surg Date: 2014-12-10 Impact factor: 4.330