Democratizing Vitreoretinal Surgery Training With a Portable and Affordable Virtual Reality Simulator in the Metaverse.

Autor:	Antaki F; The CHUM School of Artificial Intelligence in Healthcare, Montreal, Quebec, Canada.; Department of Ophthalmology, Université de Montréal, Montreal, Quebec, Canada.; Department of Ophthalmology, Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada.; https://orcid.org/0000-0001-6679-7276., Doucet C; Department of Computer Engineering and Software Engineering, Polytechnique Montréal, Montreal, Canada., Milad D; Department of Ophthalmology, Université de Montréal, Montreal, Quebec, Canada.; Department of Ophthalmology, Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada.; https://orcid.org/0000-0002-0693-3421., Giguère CÉ; Institut universitaire en santé mentale de Montréal (IUSMM), Montreal, Quebec, Canada., Ozell B; Department of Computer Engineering and Software Engineering, Polytechnique Montréal, Montreal, Canada.; https://orcid.org/0000-0002-7157-7726., Hammamji K; Department of Ophthalmology, Université de Montréal, Montreal, Quebec, Canada.; Department of Ophthalmology, Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada.; https://orcid.org/0000-0001-5893-9174.
Jazyk:	angličtina
Zdroj:	Translational vision science & technology [Transl Vis Sci Technol] 2024 Apr 02; Vol. 13 (4), pp. 5.
DOI:	10.1167/tvst.13.4.5
Abstrakt:	Purpose: The purpose of this study was to develop and validate RetinaVR, an affordable, portable, and fully immersive virtual reality (VR) simulator for vitreoretinal surgery training. Methods: We built RetinaVR as a standalone app on the Meta Quest 2 VR headset. It simulates core vitrectomy, peripheral shaving, membrane peeling, and endolaser application. In a validation study (n = 20 novices and experts), we measured: efficiency, safety, and module-specific performance. We first explored unadjusted performance differences through an effect size analysis. Then, a linear mixed-effects model was used to isolate the impact of age, sex, expertise, and experimental run on performance. Results: Experts were significantly safer in membrane peeling but not when controlling for other factors. Experts were significantly better in core vitrectomy, even when controlling for other factors (P = 0.014). Heatmap analysis of endolaser applications showed more consistent retinopexy among experts. Age had no impact on performance, but male subjects were faster in peripheral shaving (P = 0.036) and membrane peeling (P = 0.004). A learning curve was demonstrated with improving efficiency at each experimental run for all modules. Repetition also led to improved safety during membrane peeling (P = 0.003), and better task-specific performance during core vitrectomy (P = 0.038), peripheral shaving (P = 0.011), and endolaser application (P = 0.043). User experience was favorable to excellent in all spheres. Conclusions: RetinaVR demonstrates potential as an affordable, portable training tool for vitreoretinal surgery. Its construct validity is established, showing varying performance in a way that correlates with experimental runs, age, sex, and level of expertise. Translational Relevance: Fully immersive VR technology could revolutionize surgical training, making it more accessible, especially in developing nations.
Databáze:	MEDLINE
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