Short-Term Surgical Outcomes After Robotic Liver Surgery: A Propensity-Score Matched Analysis With Conventional Open Liver Surgery at a High-Volume Centre in Denmark
Daisuke Fukumori, Christoph Tschuor, Takashi Hamada, Nicolai Aagaard Schultz, Paul Suno Krohn, Stefan Burgdorf, Luit Penninga, Jan Henrik Storkholm, Christian Ross Pedersen, Jens Hillingsø, Lars Bo Svendsen, Peter Nørgaard Larsen
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Abstract
Background
The aim of this study was to investigate the perioperative outcomes of robotic liver surgery (RLS) and Open liver surgery (OLS) in a centre with a high number of operations.
Methods
A 1:1 propensity score matched (PSM) analysis of a retrospective database of RLS and OLS was performed. Cumulative sum (CUSUM) analysis was performed to identify learning curves.
Result
After PSM analysis, operative time was significantly longer in the RLS group (p < 0.001). Estimated blood loss was significantly lower in the RLS group (p < 0.001). Transfusion rates were significantly lower in the RLS group. The length of hospital stay was shorter in the RLS group (3.5vs6.3 days, p < 0.001). Readmission rates were significantly lower in the RLS group (p < 0.049). CUSUM analysis showed a learning curve for at least 8 low—intermediate RLS procedures and 27 advanced—Expert RLS procedures.
Conclusions
RLS has many advantages, including being safe to perform, less blood loss and faster postoperative recovery compared with OLS.
期刊介绍：
The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.
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