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Objectives: To define the learning process of minimally invasive repair of pectus excavatum by the Nuss procedure through assessment of consecutive procedural metrics., Methods: A single-center retrospective observational cohort study was conducted of all consecutive Nuss procedures performed by individual surgeons without previous experience between June 2006 and December 2018. Surgeons were proctored during their initial 10 procedures. The learning process after the proctoring period was evaluated using nonrisk-adjusted cumulative sum (ie, observed minus expected) failure charts of complications. An acceptable and unacceptable complication rate of 10% and 20% were used. Logarithmic trend lines were used to assess over-time performance regarding operation time., Results: Two-hundred twenty-two consecutive Nuss procedures by 3 general thoracic surgeons were evaluated. Cumulative sum charts showed an average performance from the first procedure after being proctored onward for all surgeons, whereas surgeon B demonstrated a statistically significant complication rate equal to or less than 10% after 59 cases. Post-hoc sensitivity analyses using a stricter acceptable and unacceptable complication rate of 6% and 12% also showed an average performance for all surgeons. Although, the median time between consecutive procedures ranged from 7 to 35 days, no frequency-outcome relationship was observed. In addition, surgeons required the same average operation time throughout their entire experience., Conclusions: After a 10-procedure proctoring period, repair of pectus excavatum by the Nuss procedure is a safe procedure to adopt and perform without a typical (complication based) learning curve while performing at least 1 procedure per 35 days., (Copyright © 2020 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.)

Objectives: The aim of this study was to develop a high-fidelity minimally invasive mitral valve surgery (MIMVS) simulator., Methods: The process of industrial serial design was applied based on pre-set requirements, acquired by interviewing experienced mitral surgeons. A thoracic torso with endoscopic and robotic access and disposable silicone mitral valve apparatus with a feedback system was developed. The feedback system was based on 4 cameras around the silicone valve and an edge detection algorithm to calculate suture depth and width. Validity of simulator measurements was assessed by comparing simulator-generated values with measurements done manually on 3-dimensional reconstructed micro-computed tomography scan of the same sutures. Independent surgeons tested the simulator between 2014 and 2018, whereupon an evaluation was done through a questionnaire., Results: The feedback system was able to provide width and depth measurements, which were subsequently scored by comparison to pre-set target values. Depth did not significantly differ between simulator and micro-computed tomography scan measurements (P = .139). Width differed significantly (P = .001), whereupon a significant regression equation was found (P < .0001) to calibrate the simulator. After calibration, no significant difference was found (P = .865). In total, 99 surgeons tested the simulator and more than agreed with the statements that the simulator is a good method for training MIMVS, and that the mitral valve and suture placement looked and felt realistic., Conclusions: We successfully developed a high-fidelity MIMVS simulator for endoscopic and robotic approaches. The simulator provides a platform to train skills in an objective and reproducible manner. Future studies are needed to provide evidence for its application in training surgeons., (Copyright © 2018 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.)