A novel training program: laparoscopic versus robotic-assisted low anterior resection for rectal cancer can be trained simultaneously

被引:1
作者
Wang, Yanlei [1 ]
Wen, Dongpeng [1 ]
Zhang, Cheng [1 ]
Wang, Zhikai [1 ]
Zhang, Jiancheng [1 ]
机构
[1] Zhengzhou Univ, Henan Univ Peoples Hosp, Henan Prov Peoples Hosp, Dept Gastrointestinal Surg,Peoples Hosp, Zhengzhou, Peoples R China
关键词
robotic; da Vinci; learning curve; laparoscopic; low anterior resection; LEARNING-CURVE; MULTIDIMENSIONAL-ANALYSIS; PATHOLOGICAL OUTCOMES; SURGERY;
D O I
10.3389/fonc.2023.1169932
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundCurrent expectations are that surgeons should be technically proficient in minimally invasive low anterior resection (LAR)-both laparoscopic and robotic-assisted surgery. However, methods to effectively train surgeons for both approaches are under-explored. We aimed to compare two different training programs for minimally invasive LAR, focusing on the learning curve and perioperative outcomes of two trainee surgeons. MethodsWe reviewed 272 consecutive patients undergoing laparoscopic or robotic LAR by surgeons A and B, who were novices in conducting minimally invasive colorectal surgery. Surgeon A was trained by first operating on 80 cases by laparoscopy and then 56 cases by robotic-assisted surgery. Surgeon B was trained by simultaneously performing 80 cases by laparoscopy and 56 by robotic-assisted surgery. The cumulative sum (CUSUM) method was used to evaluate the learning curves of operative time and surgical failure. ResultsFor laparoscopic surgery, the CUSUM plots showed a longer learning process for surgeon A than surgeon B (47 vs. 32 cases) for operative time, but a similar trend in surgical failure (23 vs. 19 cases). For robotic surgery, the plots of the two surgeons showed similar trends for both operative times (23 vs. 25 cases) and surgical failure (17 vs. 19 cases). Therefore, the learning curves of surgeons A and B were respectively divided into two phases at the 47th and 32nd cases for laparoscopic surgery and at the 23rd and 25th cases for robotic surgery. The clinicopathological outcomes of the two surgeons were similar in each phase of the learning curve for each surgery. ConclusionsFor surgeons with rich experience in open colorectal resections, simultaneous training for laparoscopic and robotic-assisted LAR of rectal cancer is safe, effective, and associated with accelerated learning curves.
引用
收藏
页数:10
相关论文
共 35 条
[1]   Robotic sphincter saving rectal cancer surgery: A learning curve analysis [J].
Aghayeva, Afag ;
Baca, Bilgi .
INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY, 2020, 16 (04)
[2]   A "pickup" stereoscopic camera with visual-motor aligned control for the da Vinci surgical system: a preliminary study [J].
Avinash, Apeksha ;
Abdelaal, Alaa Eldin ;
Mathur, Prateek ;
Salcudean, Septimiu E. .
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2019, 14 (07) :1197-1206
[3]   Implementing a robotic liver resection program does not always require prior laparoscopic experience [J].
Balzano, Emanuele ;
Bernardi, Lorenzo ;
Tincani, Giovanni ;
Ghinolfi, Davide ;
Melandro, Fabio ;
Bronzoni, Jessica ;
Meli, Sonia ;
Arenga, Giuseppe ;
Biancofiore, Giandomenico ;
Crocetti, Laura ;
De Simone, Paolo .
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES, 2022, 36 (05) :3317-3322
[4]   The Learning Curve for the Laparoscopic Approach to Conservative Mesorectal Excision for Rectal Cancer Lessons Drawn From a Single Institution's Experience [J].
Bege, Thierry ;
Lelong, Bernard ;
Esterni, Benjamin ;
Turrini, Olivier ;
Guiramand, Jerome ;
Francon, Daniel ;
Mokart, Djamel ;
Houvenaeghel, Gilles ;
Giovannini, Marc ;
Delpero, Jean Robert .
ANNALS OF SURGERY, 2010, 251 (02) :249-253
[5]   Oncological outcomes of laparoscopic versus open rectal cancer resections: meta-analysis of randomized clinical trials [J].
Creavin, B. ;
Kelly, M. E. ;
Ryan, E. J. ;
Ryan, O. K. ;
Winter, D. C. .
BRITISH JOURNAL OF SURGERY, 2021, 108 (05) :469-476
[6]   Total mesorectal excision: a comparison of oncological and functional outcomes between robotic and laparoscopic surgery for rectal cancer [J].
D'Annibale, Annibale ;
Pernazza, Graziano ;
Monsellato, Igor ;
Pende, Vito ;
Lucandri, Giorgio ;
Mazzocchi, Paolo ;
Alfano, Giovanni .
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES, 2013, 27 (06) :1887-1895
[7]   Effect of Laparoscopic-Assisted Resection vs Open Resection of Stage II or III Rectal Cancer on Pathologic Outcomes The ACOSOG Z6051 Randomized Clinical Trial [J].
Fleshman, James ;
Branda, Megan ;
Sargent, Daniel J. ;
Boller, Anne Marie ;
George, Virgilio ;
Abbas, Maher ;
Peters, Walter R., Jr. ;
Maun, Dipen ;
Chang, George ;
Herline, Alan ;
Fichera, Alessandro ;
Mutch, Matthew ;
Wexner, Steven ;
Whiteford, Mark ;
Marks, John ;
Birnbaum, Elisa ;
Margolin, David ;
Larson, David ;
Marcello, Peter ;
Posner, Mitchell ;
Read, Thomas ;
Monson, John ;
Wren, Sherry M. ;
Pisters, Peter W. T. ;
Nelson, Heidi .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2015, 314 (13) :1346-1355
[8]   Towards Truly "Bespoke" Robotic Surgery: Vessel-Sparing Sigmoidectomy [J].
Huscher, Cristiano G. S. ;
Lazzarin, Gianni .
SURGICAL INNOVATION, 2023, 30 (04) :546-547
[9]  
Jacobs M, 1991, Surg Laparosc Endosc, V1, P144
[10]   Learning curve in robotic rectal cancer surgery: current state of affairs [J].
Jimenez-Rodriguez, Rosa M. ;
Rubio-Dorado-Manzanares, Mercedes ;
Manuel Diaz-Pavon, Jose ;
Luisa Reyes-Diaz, M. ;
Manuel Vazquez-Monchul, Jorge ;
Garcia-Cabrera, Ana M. ;
Padillo, Javier ;
De la Portilla, Fernando .
INTERNATIONAL JOURNAL OF COLORECTAL DISEASE, 2016, 31 (12) :1807-1815