George Whittaker1, Abdullatif Aydin2, Sinthuri Raveendran3, Faizan Dar3, Prokar Dasgupta2,4, Kamran Ahmed2,4. 1. 1 Department of Cardiothoracic Surgery, Royal Papworth Hospital, Cambridge, UK. 2. 2 MRC Centre for Transplantation, King's College London, London, UK. 3. 3 GKT School of Medical Education, King's College London, London, UK. 4. 4 Department of Urology, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
Abstract
BACKGROUND: Training for robot-assisted thoracic lobectomy remains an issue, prompting the development of virtual reality simulators. Our aim was to assess the construct and face validity of a new thoracic lobectomy module on the RobotiX Mentor, a robotic surgery simulator. We also aimed to determine the acceptability and feasibility of implementation into training. METHODS: This prospective, observational, and comparative study recruited novice (n = 16), intermediate (n = 9), and expert (n = 5) participants from King's College London, the 25th European Conference on General Thoracic Surgery, and the Society of Robotic Surgery conference 2018. Each participant completed two familiarization tasks followed by the Guided Robotic Lobectomy module and an evaluation questionnaire. Outcome measures were compared using Mann-Whitney U tests. RESULTS: Construct validity was demonstrated in 12/21 performance evaluation metrics. Significant differences between groups were found in all metrics including: time taken to complete module, vascular injury, respect for tissue, number of stapler firings, time instruments out of view, number of instrument collisions, and number of movements. Participants deemed aspects of the simulator (mean 3/5) and module (3/5) as realistic and rated the simulator as both acceptable (3.8/5) and feasible (3.8/5) for robotic surgical training. CONCLUSIONS: Face validity, acceptability, and feasibility were established for the thoracic lobectomy module of the RobotiX Mentor simulator. Moderate evidence of construct validity was also demonstrated. With further work, this simulation module could help to reduce the initial part of the learning curve for trainees and decrease the risk of errors during live training.
BACKGROUND: Training for robot-assisted thoracic lobectomy remains an issue, prompting the development of virtual reality simulators. Our aim was to assess the construct and face validity of a new thoracic lobectomy module on the RobotiX Mentor, a robotic surgery simulator. We also aimed to determine the acceptability and feasibility of implementation into training. METHODS: This prospective, observational, and comparative study recruited novice (n = 16), intermediate (n = 9), and expert (n = 5) participants from King's College London, the 25th European Conference on General Thoracic Surgery, and the Society of Robotic Surgery conference 2018. Each participant completed two familiarization tasks followed by the Guided Robotic Lobectomy module and an evaluation questionnaire. Outcome measures were compared using Mann-Whitney U tests. RESULTS: Construct validity was demonstrated in 12/21 performance evaluation metrics. Significant differences between groups were found in all metrics including: time taken to complete module, vascular injury, respect for tissue, number of stapler firings, time instruments out of view, number of instrument collisions, and number of movements. Participants deemed aspects of the simulator (mean 3/5) and module (3/5) as realistic and rated the simulator as both acceptable (3.8/5) and feasible (3.8/5) for robotic surgical training. CONCLUSIONS: Face validity, acceptability, and feasibility were established for the thoracic lobectomy module of the RobotiX Mentor simulator. Moderate evidence of construct validity was also demonstrated. With further work, this simulation module could help to reduce the initial part of the learning curve for trainees and decrease the risk of errors during live training.
Authors: Arian Arjomandi Rad; Robert Vardanyan; Santhosh G Thavarajasingam; Alina Zubarevich; Jef Van den Eynde; Michel Pompeu B O Sá; Konstantin Zhigalov; Peyman Sardiari Nia; Arjang Ruhparwar; Alexander Weymann Journal: Interact Cardiovasc Thorac Surg Date: 2022-01-18