Presentation Description
Institution: The First People’s Hospital of Changzhou - Jiangsu, China
Background: At present, research comparing the short-term postoperative outcomes of lobectomy/ segmentectomy in lung cancer under different ports of da Vinci robot-assisted surgery is insufficient. This report aimed to compare the outcomes of three-port and four-port da Vinci robot-assisted thoracoscopic surgery for radical dissection of lung cancer.
Method: 171 consecutive patients who presented to our hospital from January 2020 to October 2021 with non-small cell lung cancer and treated with da Vinci robot-assisted thoracoscopic surgery for radical resection of lung cancer were retrospectively collected and divided into the three-port group (n =97) and the four-port group (n = 74). The general clinical data, perioperative data and life quality were individually compared between the two groups.
Result: All the 171 patients successfully underwent surgeries. Compared to the four-port group, the three-port group had comparable baseline characteristics in terms of age, sex, tumor location, tumor size, history of chronic disease, pathological type, and pathological tumor-node-metastasis (pTNM) staging. The three-port group also had shorter operation time, less intraoperative blood loss, lower chest tube drainage volume, shorter postoperative hospitalization stay durations, but showed no statistically significant difference (P > 0.05). Postoperative 24, 48 and 72 h visual analogue scale pain scores were lower in the three-port group (all p < 0.001). No significant difference was observed between the two groups in the hospitalization costs (P = 0.664), number or stations of total lymph node dissected (p > 0.05) and postoperative respiratory complications (P > 0.05).
Conclusion: The three-port robot-assisted thoracoscopic surgery is safe and effective and took better outcomes than the four-port robot-assisted thoracoscopic surgery in non-small cell lung cancer.
Presenters
Authors
Authors
Dr Chen Yang - , Dr Liang Zheng - , Dr. Lei Zhang - , Dr. Xiao Fan - , Dr. Qianyun Wang -