{"title":"Robotic Hysterectomy for Endometrial Cancer in Class III Obesity: 13 Years of Experience From a UK Epicentre in Guildford","authors":"Konstantinos Palaiologos, Nana-Oye Bosompra, Alkim Arikan, Radwa Hablase, Anil Tailor, Hersha Patel, Patricia Ellis, Jayanta Chatterjee, Simon Butler-Manuel","doi":"10.1002/rcs.70101","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Surgery in morbidly obese patients is technically challenging; however, this can be mitigated using robotic surgery. We present 13-years’ experience of robotic hysterectomy in patients with Class-III obesity (BMI≥ 40 kg/m) and endometrial cancer.</p>\n </section>\n \n <section>\n \n <h3> Materials and Methods</h3>\n \n <p>This retrospective cohort study included 236 women with Class-III obesity who underwent robotic hysterectomy for endometrial cancer between 2010 and 2023. Key outcomes include, completion rates and peri-operative events. Comparative analysis evaluated outcomes following technological upgrades, introduction of sentinel lymph-node assessment and surgeons' learning curve. Statistical analysis used Fisher's exact test and Chi-squared for categorical variables, and ANOVA and Kruskall-Wallis tests for continuous variables.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Robotic hysterectomy was completed in 91.5% (216/236), with conversion to laparotomy in 2.5% (6/236). Median inpatient admission was 1 day. Infection occurred in 6.9% (15/216). A statistically significant decrease in laparotomies from 11% (9/236) (2010–2015) to 0% (2020–2023) (<i>p</i> = 0.004) was observed.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Robotic Hysterectomy can be safely completed in majority of morbidly obese patients with endometrial cancer with minimal perioperative complications.</p>\n </section>\n </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"21 4","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Medical Robotics and Computer Assisted Surgery","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/rcs.70101","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Surgery in morbidly obese patients is technically challenging; however, this can be mitigated using robotic surgery. We present 13-years’ experience of robotic hysterectomy in patients with Class-III obesity (BMI≥ 40 kg/m) and endometrial cancer.
Materials and Methods
This retrospective cohort study included 236 women with Class-III obesity who underwent robotic hysterectomy for endometrial cancer between 2010 and 2023. Key outcomes include, completion rates and peri-operative events. Comparative analysis evaluated outcomes following technological upgrades, introduction of sentinel lymph-node assessment and surgeons' learning curve. Statistical analysis used Fisher's exact test and Chi-squared for categorical variables, and ANOVA and Kruskall-Wallis tests for continuous variables.
Results
Robotic hysterectomy was completed in 91.5% (216/236), with conversion to laparotomy in 2.5% (6/236). Median inpatient admission was 1 day. Infection occurred in 6.9% (15/216). A statistically significant decrease in laparotomies from 11% (9/236) (2010–2015) to 0% (2020–2023) (p = 0.004) was observed.
Conclusion
Robotic Hysterectomy can be safely completed in majority of morbidly obese patients with endometrial cancer with minimal perioperative complications.
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.