scholarly journals Learning curves and safe implementation of minimally invasive esophagectomy

2021 ◽  
Vol 4 ◽  
pp. 36-36
Author(s):  
Frans van Workum ◽  
Frits J. H. van den Wildenberg ◽  
Fatih Polat ◽  
Maroeska M. Rovers ◽  
Camiel Rosman
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Linda Claassen ◽  
Gerjon Hannink ◽  
Misha D. P. Luyer ◽  
Alan P. Ainsworth ◽  
Mark I. van Berge Henegouwen ◽  
...  

2018 ◽  
Vol 24 (44) ◽  
pp. 4974-4978 ◽  
Author(s):  
Frans van Workum ◽  
Laura Fransen ◽  
Misha DP Luyer ◽  
Camiel Rosman

2021 ◽  
Vol 108 (Supplement_9) ◽  
Author(s):  
Pooja Prasad ◽  
Lauren Wallace ◽  
Maziar Navidi ◽  
Alexander Phillips

Abstract Background Minimally invasive techniques are increasingly used in the treatment of esophageal cancer. The learning curve for minimally invasive oesophagectomy (MIO) is variable and can impact on patient outcomes. The aim of this study was to review the current evidence on learning curves in MIO and identify which parameters are used for benchmarking. Methods A search of the major reference databases (PubMed, Medline, Cochrane) was performed with no time limits up to February 2020. Results were screened in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies were included if an assessment of the learning curve was reported on, regardless of which (if any) statistical method was used.  Results Twenty-nine studies comprising 3741 patients were included. Twenty-two studies reported on a combination of thoracoscopic, hybrid and total MIO, 6 studies reported robotic assisted MIO (RAMIE) alone and 1 study evaluated both RAMIE and thoracoscopic esophagectomies. Operating time was the most frequently used parameter to determine learning curve progression (23/39 studies), with number of resected lymph nodes, morbidity and blood loss also frequently used. Learning curves were found to plateau at 7-60 cases for thoracoscopic esophagectomy, 12-175 cases for total and thoracoscopic/hybrid esophagectomy and 9-85 cases for RAMIE.  Conclusions Multiple parameters are employed to gauge MIO learning curve progression. However, there are no validated or approved sets of outcomes. Further work is required to determine the optimum parameters that should be utilised to ensure best patient outcomes and required length of proctoring. 


2016 ◽  
Vol 66 (05) ◽  
pp. 362-369 ◽  
Author(s):  
Qi Wang ◽  
Zixiang Wu ◽  
Gang Chen ◽  
Sai Zhang ◽  
Gang Shen ◽  
...  

Background Minimally invasive esophagectomy (MIE) Ivor Lewis has been increasingly performed over the last two decades. To guide the implementation of this technically demanding procedure, a comprehensive assessment of MIE-Ivor Lewis learning curves should include both the general competence to accomplish the procedure and the ability to generate oncological benefits. These objectives are believed to be associated with different phases of the learning curve. Methods A retrospective review of the first 109 patients who underwent MIE-Ivor Lewis by a single qualified surgeon was conducted. Relevant variables were collected and assessed by regression analysis to identify suitable indicators for patient stratification and learning curve assessment. Thereafter, the differential analysis was performed among groups to validate the learning curve model. Results Two variables, intrathoracic gastroesophageal anastomosis time and bilateral recurrent laryngeal nerve (RLN) lymphadenectomy number, which plateaued, respectively, after the 26th and 88th cases, were selected as meaningful indicators to identify different competence levels. Therefore, 109 patients were chronologically subcategorized into three groups (the first 26 MIEs as the early group, the next 62 cases as the middle group, and 21 most recent cases as the late group). Perioperative data were compared between groups with positive results to indicate a three-phase model for a learning curve for MIE-Ivor Lewis. Conclusions An MIE-Ivor Lewis learning curve should include three discrete phases that indicate, successively, unskilled operation (general competence to accomplish, less proficiency), surgical proficiency, and oncological efficacy. Intrathoracic anastomosis time and bilateral RLN lymphadenectomy were identified as suitable indicators delineate the different stages of an MIE-Ivor Lewis learning curve.


2021 ◽  
Vol 0 ◽  
pp. 0-0
Author(s):  
Frans van Workum ◽  
Frits J. H. van den Wildenberg ◽  
Fatih Polat ◽  
Maroeska M. Rovers ◽  
Camiel Rosman

2020 ◽  
Vol 33 (Supplement_1) ◽  
Author(s):  
P Prasad ◽  
L Wallace ◽  
M Navidi ◽  
S Wahed ◽  
A Immanuel ◽  
...  

Abstract   Minimally invasive techniques are being increasingly used in the treatment of esophageal cancer. The learning curve for minimally invasive esophagectomy (MIE) is variable and can have an impact upon training delivered within residency and fellowship programmes. The aims of this review are to critically appraise current literature on the learning curve for MIE, identify what parameter(s) is used to quantify achieving competence and determine if there is evidence of resultant impact on surgical training. Methods A search of the major reference databases (MEDLINE, EMBASE, Cochrane) was performed with no time limits up to the date of the search (February 2020). Results were screened in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, and study quality assessed using the Newcastle-Ottawa Scale for cohort studies. Results Twenty-one studies comprising 2720 patients were included- 17 studies reported on a combination of thoracoscopic, hybrid and total MIE, 3 studies reported robotic assisted alone and 1 study evaluated robotic assisted and thoracoscopic esophagectomy. 3 studies used a cumulative sum (CUSUM) analysis to define learning, 1 study used CUSUM and another parameter and 17 studies used one or more parameters. Quantification of surgical competence was variable and ranged from 12–80 cases for robotic surgery and 12–60 cases for other modes of MIE. One study reported trainees achieving MIE skills quicker if mentoring surgeons had attained proficiency on the learning curve. Conclusion Learning curves in MIE remain ill-defined with limited evidence on impact upon training received by residents and fellows. Additionally, the parameters used to define achievement of surgical competency is heterogenous. As minimally invasive techniques are increasingly adopted, specific standards to help define competence need to be identified and agreed on. This could help in designing training programmes and improve the rate of achieving competency.


2019 ◽  
Vol 32 (Supplement_2) ◽  
Author(s):  
◽  
Linda Claassen ◽  
Frans van Workum ◽  
Maroeska M Rovers ◽  
Gerjon Hannink ◽  
...  

Abstract Aim To define factors associated with more efficient learning after implementation of Ivor Lewis totally minimally invasive esophagectomy (TMIE). Background and Methods It is unknown which factors are associated with more efficient learning after implementation of Ivor Lewis TMIE. Prospectively collected data of 15 European expert centers are retrospectively analyzed. Consecutive patients undergoing Ivor Lewis TMIE are included. The primary outcome is anastomotic leakage and the secondary outcome is textbook outcome (TBO). The pre-defined level of acceptance for anastomotic leakage is set at 8% with a 5% margin. Trends in outcome parameters are plotted using weighted moving average to define when the pre-defined level of acceptance is reached. Outcome trends are compared between groups of hospitals for the following factors: hospital volume, surgeon experience, overall TMIE experience, expert clinic visit, Ivor Lewis TMIE course followed and Ivor Lewis TMIE proctor supervision during implementation. Results This study included 1718 patients. Hospitals with a volume >50 cases per year reached the pre-defined level of acceptance for anastomotic leakage at case 114, hospitals with a volume <50 cases did not reach the pre-defined level of acceptance. Hospitals with surgeon experience >10 years and <10 years reached the pre-defined level of acceptance at case 112 and 135, respectively. Hospitals with overall TMIE experience >50 cases and <50 cases reached the pre-defined level of acceptance at case 45 and 112, respectively. Visiting an expert clinic, followed a TMIE course, or implementation under a proctor’s supervision did not contribute to reaching the level of acceptance earlier. Conclusion Learning curves are shorter and the level of acceptance is reached earlier if Ivor Lewis TMIE is implemented in a high-volume hospital, if the procedure is implemented in a hospital with a surgeon with >10 years of experience, or if the surgeon has experience in other types of TMIE of >50 cases. These findings can inform surgeons and can contribute to formulate evidence-based training programs.


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