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Extended Reality in Laparoscopic Cholecystectomy Training: A Systematic Review and Meta-analysis.
Sakib Tariq1, Filippo Cainelli1, Az-Zubayr Sahraoui1
1School of Health & Medical Sciences, City St George's, University of London, London, United Kingdom.
Extended reality (XR) augmentation significantly improves surgical precision and performance in laparoscopic cholecystectomy. This meta-analysis shows enhanced skills scores, highlighting XR
Area of Science:
- Surgical Technology
- Medical Simulation
- Minimally Invasive Surgery
Background:
- Extended reality (XR) augmentation is a novel approach to enhance surgical procedures.
- Laparoscopic cholecystectomy is a common surgical intervention where precision is critical.
- Evaluating XR's impact on surgical performance is essential for its clinical adoption.
Purpose of the Study:
- To systematically review and meta-analyze the effect of XR augmentation on surgical precision and performance.
- To assess the pooled impact of XR on laparoscopic cholecystectomy outcomes.
- To synthesize evidence on XR's utility in enhancing surgical skills.
Main Methods:
- Systematic review and meta-analysis adhering to PRISMA guidelines.
- Searched MEDLINE, Scopus, Google Scholar, and Cochrane Library for trials (2019-2023).
- Included four unique randomized controlled trials with 158 surgeons; assessed risk of bias using Cochrane Risk of Bias 2 tool.
Main Results:
- XR-assisted surgery significantly improved Global Objective Structured Assessments of Technical Skills (OSATS) scores (MD, 2.07; 95% CI, 0.34-3.80).
- XR augmentation led to significant improvements in Global Operative Assessment of Laparoscopic Skills (GOALS) scores (MD, 1.53; 95% CI, 0.48-2.57).
- Task-specific OSATS and GOALS scores also demonstrated significant improvements with XR use.
Conclusions:
- XR augmentation demonstrably enhances surgical performance and precision during laparoscopic cholecystectomy.
- Findings suggest XR is a valuable tool for improving surgical skills.
- Larger, rigorous studies are recommended to confirm generalizability and define XR's role in surgical training.
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