An Efficient Single-session Spatial Skill Trainer for Robot-assisted Surgery: A Randomized Trial

Study Objective: To introduce and examine a single session of spatial skill training as an efficient means of improving surgical suturing performance in robot-assisted surgery. Design: A randomized, controlled trial. Setting: A tertiary university medical center in Israel. Participants: A purposive sample composed of 41 residents with no robotic suturing skills. Interventions: A computer-based simulator training of spatial skills. Measurements and Main Results: Participants were randomly assigned to training (n = 21: mean age of 34 years [standard deviation (SD) = 1.92]) and control (n = 20: mean age of 32 years [SD = 3.17]) conditions. The training group underwent a session of spatial skills training, whereas the control group engaged in a neutral activity. After 1 participant was lost to the follow-up of the posttraining performance test, data of 40 participants were analyzed. Robotic suturing task performance with the da Vinci Skills Simulator (Intuitive Surgical, Sunnyvale, CA) was evaluated using the da Vinci Skills Simulator built-in measure of excess tissue piercing and an expert rating of tissue tearing. The mean number of excess tissue piercing after training (but not after the neutral activity) was significantly lower than before training (3.25 [SD = 1.996] vs 6.75 [SD = 3.68], respectively; p<.001), reflecting an improvement of 52% (decreasing the mean number of excess tissue piercing in a single suture by 3.5 excess piercing trials). After the interventions, the extent of tissue tearing was rated lower in the training group (p=.01), and there was no change in the control group (p=.14). Conclusion: We showed the efficiency of a training approach that focuses on spatial skills critical in robot-assisted surgery. We showed that surgeons who received a 1 session spatial skill training with a cognitive spatial skill trainer immediately improved the performance of a robotic suturing task compared with surgeons who did not receive such training. (C) 2019 Published by Elsevier Inc. on behalf of AAGL.