{"title":"使用累积总和法进行机器人辅助根治性前列腺切除术的多名外科医生的学习曲线:一项单一机构的回顾性研究。","authors":"Takashi Nagai, Toshiki Etani, Nobuhiko Shimizu, Masakazu Gonda, Maria Aoki, Toshiharu Morikawa, Shoichiro Iwatsuki, Kazumi Taguchi, Taku Naiki, Kentaro Mizuno, Ryosuke Ando, Atsushi Okada, Noriyasu Kawai, Keiichi Tozawa, Takahiro Yasui","doi":"10.1007/s11701-024-02122-2","DOIUrl":null,"url":null,"abstract":"<p><p>Prostate cancer (PC) is common among men and has become a significant societal issue. Localized PC has a good prognosis with appropriate treatment. Prostatectomy, particularly robot-assisted radical prostatectomy (RARP), has become a common treatment since the da Vinci prostatectomy was approved by the FDA in 2001. The current study aimed to assess the learning curve for RARP, focusing on anastomosis time, using the cumulative sum (CUSUM) method. Data were collected from Nagoya City University Hospital between May 2011 and December 2018 and included 469 surgeries performed by experienced surgeons. Our findings indicated that, on average, 11 patients were required to complete the initial phase and 24 patients were required to complete the consolidation phase of anastomosis. Additionally, for complete resection of pT2c cases, 16 cases were required for the initial phase and 27 cases were required for the consolidation phase. The CUSUM method proved useful for visualizing trends in surgical proficiency, although the study noted potential confounding biases and limitations in evaluating surgical proficiency based solely on surgical time or positive surgical margins.</p>","PeriodicalId":47616,"journal":{"name":"Journal of Robotic Surgery","volume":"18 1","pages":"389"},"PeriodicalIF":2.2000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Learning curve of multiple surgeons for robot-assisted radical prostatectomy using the cumulative sum method: a retrospective single-institution study.\",\"authors\":\"Takashi Nagai, Toshiki Etani, Nobuhiko Shimizu, Masakazu Gonda, Maria Aoki, Toshiharu Morikawa, Shoichiro Iwatsuki, Kazumi Taguchi, Taku Naiki, Kentaro Mizuno, Ryosuke Ando, Atsushi Okada, Noriyasu Kawai, Keiichi Tozawa, Takahiro Yasui\",\"doi\":\"10.1007/s11701-024-02122-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Prostate cancer (PC) is common among men and has become a significant societal issue. Localized PC has a good prognosis with appropriate treatment. Prostatectomy, particularly robot-assisted radical prostatectomy (RARP), has become a common treatment since the da Vinci prostatectomy was approved by the FDA in 2001. The current study aimed to assess the learning curve for RARP, focusing on anastomosis time, using the cumulative sum (CUSUM) method. Data were collected from Nagoya City University Hospital between May 2011 and December 2018 and included 469 surgeries performed by experienced surgeons. Our findings indicated that, on average, 11 patients were required to complete the initial phase and 24 patients were required to complete the consolidation phase of anastomosis. Additionally, for complete resection of pT2c cases, 16 cases were required for the initial phase and 27 cases were required for the consolidation phase. The CUSUM method proved useful for visualizing trends in surgical proficiency, although the study noted potential confounding biases and limitations in evaluating surgical proficiency based solely on surgical time or positive surgical margins.</p>\",\"PeriodicalId\":47616,\"journal\":{\"name\":\"Journal of Robotic Surgery\",\"volume\":\"18 1\",\"pages\":\"389\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Robotic Surgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s11701-024-02122-2\",\"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":"Journal of Robotic Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11701-024-02122-2","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SURGERY","Score":null,"Total":0}
Learning curve of multiple surgeons for robot-assisted radical prostatectomy using the cumulative sum method: a retrospective single-institution study.
Prostate cancer (PC) is common among men and has become a significant societal issue. Localized PC has a good prognosis with appropriate treatment. Prostatectomy, particularly robot-assisted radical prostatectomy (RARP), has become a common treatment since the da Vinci prostatectomy was approved by the FDA in 2001. The current study aimed to assess the learning curve for RARP, focusing on anastomosis time, using the cumulative sum (CUSUM) method. Data were collected from Nagoya City University Hospital between May 2011 and December 2018 and included 469 surgeries performed by experienced surgeons. Our findings indicated that, on average, 11 patients were required to complete the initial phase and 24 patients were required to complete the consolidation phase of anastomosis. Additionally, for complete resection of pT2c cases, 16 cases were required for the initial phase and 27 cases were required for the consolidation phase. The CUSUM method proved useful for visualizing trends in surgical proficiency, although the study noted potential confounding biases and limitations in evaluating surgical proficiency based solely on surgical time or positive surgical margins.
期刊介绍:
The aim of the Journal of Robotic Surgery is to become the leading worldwide journal for publication of articles related to robotic surgery, encompassing surgical simulation and integrated imaging techniques. The journal provides a centralized, focused resource for physicians wishing to publish their experience or those wishing to avail themselves of the most up-to-date findings.The journal reports on advance in a wide range of surgical specialties including adult and pediatric urology, general surgery, cardiac surgery, gynecology, ENT, orthopedics and neurosurgery.The use of robotics in surgery is broad-based and will undoubtedly expand over the next decade as new technical innovations and techniques increase the applicability of its use. The journal intends to capture this trend as it develops.