Claudia Collà Ruvolo, Margarita Afonina, Eleonora Balestrazzi, Marco Paciotti, Adele Piro, Federico Piramide, Carlo Andrea Bravi, Maria Peraire Lores, Gabriele Sorce, Mario Belmonte, Silvia Rebuffo, Marco Ticonosco, Nicola Frego, Giorgia Gaia, Ruben De Groote, Alexandre Mottrie, Geert De Naeyer
{"title":"HUGOTM机器人辅助手术系统和Da Vinci®Xi机器人辅助骶阴道切除术治疗盆腔器官脱垂手术系统的比较分析。","authors":"Claudia Collà Ruvolo, Margarita Afonina, Eleonora Balestrazzi, Marco Paciotti, Adele Piro, Federico Piramide, Carlo Andrea Bravi, Maria Peraire Lores, Gabriele Sorce, Mario Belmonte, Silvia Rebuffo, Marco Ticonosco, Nicola Frego, Giorgia Gaia, Ruben De Groote, Alexandre Mottrie, Geert De Naeyer","doi":"10.1002/rcs.2587","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>We aimed to compare the outcomes of Robot-assisted sacrocolpopexy (RASC) performed using the novel HUGO<sup>TM</sup> Robot-Assisted Surgery (RAS) System with the Da Vinci<sup>®</sup> Xi surgical system.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Data from 38 women undergoing RASC for <i>a</i> ≥ 2-grade pelvic organ prolapse were collected (2021–2023).</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Overall, 23 (60.5%) and 15 (39.5%) procedures were performed using the DaVinci<sup>®</sup> Xi and the HUGO<sup>TM</sup> RAS system, respectively. The median total operative time was 123 (IQR:106.5–140.5) minutes for the DaVinci<sup>®</sup> Xi versus 120 (IQR:120–146) minutes for the HUGO<sup>TM</sup> RAS cases (<i>p</i> = 0.5). No conversion to open/laparoscopic surgery, perioperative complications, or system failures occurred. No differences were recorded according to day of catheter removal and length of stay.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>This study represents the first worldwide comparison of RASC executed using the HUGO<sup>TM</sup> RAS versus the Da Vinci<sup>®</sup> Xi System. Our data suggest that RASC might be performed with both robotic platforms with similar perioperative outcomes.</p>\n </section>\n </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"20 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A comparative analysis of the HUGOTM robot-assisted surgery system and the Da Vinci® Xi surgical system for robot-assisted sacrocolpopexy for pelvic organ prolapse treatment\",\"authors\":\"Claudia Collà Ruvolo, Margarita Afonina, Eleonora Balestrazzi, Marco Paciotti, Adele Piro, Federico Piramide, Carlo Andrea Bravi, Maria Peraire Lores, Gabriele Sorce, Mario Belmonte, Silvia Rebuffo, Marco Ticonosco, Nicola Frego, Giorgia Gaia, Ruben De Groote, Alexandre Mottrie, Geert De Naeyer\",\"doi\":\"10.1002/rcs.2587\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>We aimed to compare the outcomes of Robot-assisted sacrocolpopexy (RASC) performed using the novel HUGO<sup>TM</sup> Robot-Assisted Surgery (RAS) System with the Da Vinci<sup>®</sup> Xi surgical system.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Data from 38 women undergoing RASC for <i>a</i> ≥ 2-grade pelvic organ prolapse were collected (2021–2023).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Overall, 23 (60.5%) and 15 (39.5%) procedures were performed using the DaVinci<sup>®</sup> Xi and the HUGO<sup>TM</sup> RAS system, respectively. The median total operative time was 123 (IQR:106.5–140.5) minutes for the DaVinci<sup>®</sup> Xi versus 120 (IQR:120–146) minutes for the HUGO<sup>TM</sup> RAS cases (<i>p</i> = 0.5). No conversion to open/laparoscopic surgery, perioperative complications, or system failures occurred. No differences were recorded according to day of catheter removal and length of stay.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>This study represents the first worldwide comparison of RASC executed using the HUGO<sup>TM</sup> RAS versus the Da Vinci<sup>®</sup> Xi System. Our data suggest that RASC might be performed with both robotic platforms with similar perioperative outcomes.</p>\\n </section>\\n </div>\",\"PeriodicalId\":50311,\"journal\":{\"name\":\"International Journal of Medical Robotics and Computer Assisted Surgery\",\"volume\":\"20 1\",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2023-10-20\",\"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.2587\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"SURGERY\",\"Score\":null,\"Total\":0}","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.2587","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SURGERY","Score":null,"Total":0}
A comparative analysis of the HUGOTM robot-assisted surgery system and the Da Vinci® Xi surgical system for robot-assisted sacrocolpopexy for pelvic organ prolapse treatment
Background
We aimed to compare the outcomes of Robot-assisted sacrocolpopexy (RASC) performed using the novel HUGOTM Robot-Assisted Surgery (RAS) System with the Da Vinci® Xi surgical system.
Methods
Data from 38 women undergoing RASC for a ≥ 2-grade pelvic organ prolapse were collected (2021–2023).
Results
Overall, 23 (60.5%) and 15 (39.5%) procedures were performed using the DaVinci® Xi and the HUGOTM RAS system, respectively. The median total operative time was 123 (IQR:106.5–140.5) minutes for the DaVinci® Xi versus 120 (IQR:120–146) minutes for the HUGOTM RAS cases (p = 0.5). No conversion to open/laparoscopic surgery, perioperative complications, or system failures occurred. No differences were recorded according to day of catheter removal and length of stay.
Conclusions
This study represents the first worldwide comparison of RASC executed using the HUGOTM RAS versus the Da Vinci® Xi System. Our data suggest that RASC might be performed with both robotic platforms with similar perioperative outcomes.
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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