Robotic Colorectal Surgery Learning Curve and Case Complexity

2018 ◽  
Vol 28 (10) ◽  
pp. 1163-1168 ◽  
Author(s):  
Darcy D. Shaw ◽  
Moriah Wright ◽  
Lindsay Taylor ◽  
Noelle L. Bertelson ◽  
Maniamparampil Shashidharan ◽  
...  
Author(s):  
Yosef Nasseri ◽  
Isabella Stettler ◽  
Wesley Shen ◽  
Ruoyan Zhu ◽  
Arman Alizadeh ◽  
...  

2010 ◽  
Vol 4 (3) ◽  
pp. 161-165 ◽  
Author(s):  
Adam Abodeely ◽  
Jorge A. Lagares-Garcia ◽  
Vincent Duron ◽  
Matthew Vrees

2021 ◽  
Author(s):  
Julie Flynn ◽  
Jose T. Larach ◽  
Joseph CH Kong ◽  
Peadar S Waters ◽  
Satish K Warrier ◽  
...  

2021 ◽  
Vol 10 ◽  
Author(s):  
Catharina Müller ◽  
Johannes Laengle ◽  
Stefan Riss ◽  
Michael Bergmann ◽  
Thomas Bachleitner-Hofmann

BackgroundRobotic surgery holds particular promise for complex oncologic colorectal resections, as it can overcome many limitations of the laparoscopic approach. However, similar to the situation in laparoscopic surgery, appropriate case selection (simple vs. complex) with respect to the actual robotic expertise of the team may be a critical determinant of outcome. The present study aimed to analyze the clinical outcome after robotic colorectal surgery over time based on the complexity of the surgical procedure.MethodsAll robotic colorectal resections (n = 85) performed at the Department of Surgery, Medical University of Vienna, between the beginning of the program in April 2015 until December 2019 were retrospectively analyzed. To compare surgical outcome over time, the cohort was divided into 2 time periods based on case sequence (period 1: patients 1–43, period 2: patients 44–85). Cases were assigned a complexity level (I-IV) according to the type of resection, severity of disease, sex and body mass index (BMI). Postoperative complications were classified using the Clavien-Dindo classification.ResultsIn total, 47 rectal resections (55.3%), 22 partial colectomies (25.8%), 14 abdomino-perineal resections (16.5%) and 2 proctocolectomies (2.4%) were performed. Of these, 69.4% (n = 59) were oncologic cases. The overall rate of major complications (Clavien Dindo III-V) was 16.5%. Complex cases (complexity levels III and IV) were more often followed by major complications than cases with a low to medium complexity level (I and II; 25.0 vs. 5.4%, p = 0.016). Furthermore, the rate of major complications decreased over time from 25.6% (period 1) to 7.1% (period 2, p = 0.038). Of note, the drop in major complications was associated with a learning effect, which was particularly pronounced in complex cases as well as a reduction of case complexity from 67.5% to 45.2% in the second period (p = 0.039).ConclusionsThe risk of major complications after robotic colorectal surgery increases significantly with escalating case complexity (levels III and IV), particularly during the initial phase of a new colorectal robotic surgery program. Before robotic proficiency has been achieved, it is therefore advisable to limit robotic colorectal resection to cases with complexity levels I and II in order to keep major complication rates at a minimum.


2021 ◽  
Author(s):  
José Tomás Larach ◽  
Julie Flynn ◽  
Joseph Kong ◽  
Peadar S. Waters ◽  
Jacob J. McCormick ◽  
...  

2018 ◽  
Vol 3 (1) ◽  
pp. 65-68 ◽  
Author(s):  
James W.T. Toh ◽  
Kevin Phan ◽  
Seon-Hahn Kim

AbstractThere has been a rapid rise in the number of robotic colorectal procedures worldwide since the da Vinci Surgical System robotic technology was approved for surgical procedures in the year 2000. Several recent meta-analyses and systematic reviews have shown a significant difference in outcomes between robotic and laparoscopic rectal cancer surgery. However, these results from pooled data have not been supported by the initial results reported from the Robotic assisted versus laparoscopic assisted resection for rectal cancer trial. In this article, we examine the current evidence for robotic colorectal surgery, assess its features and functionality, evaluate its learning curve and provide our perspective on its future.


2010 ◽  
Vol 47 (1) ◽  
pp. 116-118 ◽  
Author(s):  
Marcelo Averbach ◽  
Pedro Popoutchi ◽  
Oswaldo Wiliam Marques Jr ◽  
Ricardo Z Abdalla ◽  
Sérgio Podgaec ◽  
...  

Laparoscopic colorectal surgery is believed to be technically and oncologically feasible. Robotic surgery is an attractive mode in performing minimally-invasive surgery once it has several advantages if compared to standard laparoscopic surgery. The aim of this paper is to report the first known case of colorectal resection surgery using the robotic assisted surgical device in Brazil. A 35-year-old woman with deep infiltrating endometriosis with rectal involvement was referred for colorectal resection using da Vinci® surgical system. The authors also reviewed the most current series and discussed not only the safety and feasibility but also the real benefits of robotic colorectal surgery


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