Hai-Su Tao1,2,3, Jin-Yu Lin2,3, Wang Luo2,3, Rui Chen2,3, Wen Zhu2,3, Chi-Hua Fang4,5, Jian Yang6,7. 1. Hepatic Surgery Center, Tongji Hospital,Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. 2. Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China. 3. Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou, 510282, China. 4. Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China. fangch_dr@163.com. 5. Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou, 510282, China. fangch_dr@163.com. 6. Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China. yangjian486@126.com. 7. Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou, 510282, China. yangjian486@126.com.
Abstract
OBJECTIVES: To evaluate the clinical impact and technical feasibility of augmented reality laparoscopic navigation (ARLN) system in laparoscopic splenectomy for massive splenomegaly. METHODS: The clinical data of 17 consecutive patients who underwent laparoscopic splenectomy using ARLN (ARLN group) and 26 patients without ARLN guidance (Non-ARLN group) between January 2018 and April 2020 were enrolled. Propensity score matching (PSM) analysis was performed between the patients with and without ARLN guidance at a ratio of 1:1. RESULTS: Mean intraoperative blood loss was significantly lower in the ARLN-group than in the Non-ARLN group (306.6 ml vs. 462.6 ml, p = 0.047). All the patients in the ARLN-group achieved successful splenic artery dissection, while surgical success was achieved in 12 patients in the Non-ARLN group (p = 0.044). Postoperative hospital stay was significantly longer in the Non-ARLN group (3.8 days vs. 4.5 days, p = 0.040). CONCLUSIONS: ARLN can provide feasible and accurate intraoperative image guidance, and it could be helpful in the performance of laparoscopic splenectomy for massive splenomegaly.
OBJECTIVES: To evaluate the clinical impact and technical feasibility of augmented reality laparoscopic navigation (ARLN) system in laparoscopic splenectomy for massive splenomegaly. METHODS: The clinical data of 17 consecutive patients who underwent laparoscopic splenectomy using ARLN (ARLN group) and 26 patients without ARLN guidance (Non-ARLN group) between January 2018 and April 2020 were enrolled. Propensity score matching (PSM) analysis was performed between the patients with and without ARLN guidance at a ratio of 1:1. RESULTS: Mean intraoperative blood loss was significantly lower in the ARLN-group than in the Non-ARLN group (306.6 ml vs. 462.6 ml, p = 0.047). All the patients in the ARLN-group achieved successful splenic artery dissection, while surgical success was achieved in 12 patients in the Non-ARLN group (p = 0.044). Postoperative hospital stay was significantly longer in the Non-ARLN group (3.8 days vs. 4.5 days, p = 0.040). CONCLUSIONS:ARLN can provide feasible and accurate intraoperative image guidance, and it could be helpful in the performance of laparoscopic splenectomy for massive splenomegaly.
Authors: Ameet G Patel; Jane E Parker; Ben Wallwork; Keith B Kau; Nora Donaldson; Michael R Rhodes; Nicholas O'Rourke; Les Nathanson; George Fielding Journal: Ann Surg Date: 2003-08 Impact factor: 12.969