Peyman Sardari Nia1, Jean H T Daemen2, Jos G Maessen3. 1. Department of Cardiothoracic Surgery, Maastricht University Medical Center, Maastricht, The Netherlands; Faculty of Health, Medicine and Life Sciences (FHML), Cardiovascular Research Institute Maastricht (CARIM), Maastricht, The Netherlands. Electronic address: peyman.sardarinia@mumc.nl. 2. Department of Cardiothoracic Surgery, Maastricht University Medical Center, Maastricht, The Netherlands. 3. Department of Cardiothoracic Surgery, Maastricht University Medical Center, Maastricht, The Netherlands; Faculty of Health, Medicine and Life Sciences (FHML), Cardiovascular Research Institute Maastricht (CARIM), Maastricht, The Netherlands.
Abstract
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.
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.
Authors: Reinhard Fuchs; Karel M Van Praet; Richard Bieck; Jörg Kempfert; David Holzhey; Markus Kofler; Michael A Borger; Stephan Jacobs; Volkmar Falk; Thomas Neumuth Journal: Int J Comput Assist Radiol Surg Date: 2022-03-16 Impact factor: 3.421
Authors: Riccardo Cocchieri; Bertus van de Wetering; Sjoerd van Tuijl; Iman Mousavi; Robert Riezebos; Bastian de Mol Journal: J Cardiovasc Dev Dis Date: 2022-08-11