Background The field of robotic liver resection (RLR) has developed in the past decades. This technique seems to improve the access to the posterosuperior (PS) segments. Evidence of a possible advantage over transthoracic laparoscopy (TTL) is not yet available. We aimed to compare RLR to TTL for tumors located in the PS segments of the liver in terms of feasibility, difficulty scoring, and outcome. Methods This retrospective study compared patients undergoing robotic liver resections and transthoracic laparoscopic resections of the PS segments between January 2016 and December 2022 in a high-volume HPB center. Patients’ characteristics, perioperative outcomes, and postoperative complications were evaluated. Results In total, 30 RLR and 16 TTL were included. Only wedge resections were performed in the TTL group, while 43% of the patients in the RLR group had an anatomical resection ( p < 0.001). The difficulty score according to the IWATE difficulty scoring system was significantly higher in the RLR group ( p < 0.001). Total operative time was similar between the two groups. Complication rates, either overall or major, were comparable between the two techniques and hospital stay was significantly shorter in the RLR group. Patients in the TTL group were found to have more pulmonary complications ( p = 0.01). Conclusion RLR may provide some advantages over TTL for the resection of tumors located in the PS segments.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.