Introduction: Computerized simulation (CS) of surgery in virtual reality (VR), augmented reality (AR) and mixed reality (MR) settings are used to teach foundational skills, but its applicability in advanced training is to be determined. This review aims to summarize the types of CS available for laparoscopic colorectal surgery (CRS) and its utility in assessment of proficiency.
Methods: A systematic review of CS in laparoscopic CRS was done on PubMed, Embase, Scopus and Cochrane Library databases.
Results: Eleven relevant observational studies were identified. The most common procedure simulated was laparoscopic colectomy. Assessment using performance metrics measured by the simulator such as path length moved by laparoscopic tools, procedure time and number of discrete movements had the most consistent differentiating ability between expert and non-expert cohorts. Surgeons fared similarly in proficiency scores in assessment with CS compared to assessment with traditional cadaveric or porcine models.
Conclusion: CS of laparoscopic CRS may be used in assessment of proficiency using performance metrics measuring economy of movement. CS may be a viable assessment tool in advanced surgical training, but further studies should assess utility of incorporating it as a formal assessment tool in training programs.
Keywords: artificial intelligence; colorectal surgery; residency; simulation; surgical education.