Presentation Authors: Somayeh B Shafiei, Zaeem Lone, Kevin Stone, Jacob Braun, Syed Kamal, Ahmed S. Elsayed*, Naif A. Aldhaam, Khurshid A. Guru, Buffalo, NY
Introduction: Learning surgical skills and interacting with the robot console in a new surgical environment all add to the complexity of the learning process in modern surgery. In this study, we evaluated the complexity of tasks during robot assisted surgery (RAS) training and its effect on learning and performance during training sessions.
Methods: Electroencephalography (EEG; 20 channels) data from 27 subjects was recorded during six sessions during one year of practice while performing five key tasks of the Fundamental Skills of Robotic Surgery (FSRS) curriculum (Instrument Control Task, Ball Placement Task, Spatial Control II Task, Fourth Arm Tissue Retraction, and the Hands on Surgical Training (HoST) module). Robotic Surgery Simulator (RoSS) scores were extracted from the simulator, while difficultly level (D) of each task in each practice session was calculated using NASA-TLX-scores (mental demand (MD), physical demand (PD), temporal demand (TD), and effort (E)) rated by the trainee (D=MD+PD+TD+E). Meanwhile, the complexity level of each task was evaluated by an expert RAS surgeon.
Results: We calculated the correlation between level of the task difficulty, complexity, and trainees' FSRS scores (Table 1). Results showed that performance level decreased (FSRS scores) when task difficulty increased. The rate of change of difficulty level was different among trainees. The number of errors significantly increased in proportion to the complexity level.
Conclusions: The level of difficulty in simulation based training should be taken into consideration when assessing the performance of trainees.
Source of Funding: Roswell Park Alliance Foundation.