Augmented Reality-Guided Mastoidectomy Simulation: A Randomized Controlled Trial Assessing Surgical Proficiency.

Autor: Hadida Barzilai D; The Engineering Medical Research Lab, Sheba Medical Center, Ramat Gan, Israel., Tejman-Yarden S; The Engineering Medical Research Lab, Sheba Medical Center, Ramat Gan, Israel.; The Edmond J. Safra International Congenital Heart Center, Sheba Medical Center, Ramat Gan, Israel., Yogev D; The Engineering Medical Research Lab, Sheba Medical Center, Ramat Gan, Israel.; Department of Otolaryngology and Head and Neck Surgery, Sheba Medical Center, Tel Hashomer, Israel., Vazhgovsky O; The Engineering Medical Research Lab, Sheba Medical Center, Ramat Gan, Israel.; The Edmond J. Safra International Congenital Heart Center, Sheba Medical Center, Ramat Gan, Israel., Nagar N; The Engineering Medical Research Lab, Sheba Medical Center, Ramat Gan, Israel., Sasson L; Cardiothoracic Surgery, Wolfson Medical Center, Tel Aviv University, Holon, Israel., Sion-Sarid R; Pediatric Intensive Care Unit, Wolfson Medical Center, Holon, Israel., Parmet Y; Department of Industrial Engineering and Management, Ben Gurion University, Beer Sheva, Israel., Goldfarb A; Department of Otorhinolaryngology and Head and Neck Surgery, Edith Wolfson Medical Center, Holon, Israel., Ilan O; Department of Otorhinolaryngology and Head and Neck Surgery, Edith Wolfson Medical Center, Holon, Israel.
Jazyk: angličtina
Zdroj: The Laryngoscope [Laryngoscope] 2024 Sep 24. Date of Electronic Publication: 2024 Sep 24.
DOI: 10.1002/lary.31791
Abstrakt: Objective: Mastoidectomy surgical training is challenging due to the complex nature of the anatomical structures involved. Traditional training methods based on direct patient care and cadaveric temporal bone training have practical shortcomings. 3D-printed temporal bone models and augmented reality (AR) have emerged as promising solutions, particularly for mastoidectomy surgery, which demands an understanding of intricate anatomical structures. Evidence is needed to explore the potential of AR technology in addressing these training challenges.
Methods: 21 medical students in their clinical clerkship were recruited for this prospective, randomized controlled trial assessing mastoidectomy skills. The participants were randomly assigned to the AR group, which received real-time guidance during drilling on 3D-printed temporal bone models, or to the control group, which received traditional training methods. Skills were assessed on a modified Welling scale and evaluated independently by two senior otologists.
Results: The AR group outperformed the control group, with a mean overall drilling score of 19.5 out of 25, compared with the control group's score of 12 (p < 0.01). The AR group was significantly better at defining mastoidectomy margins (p < 0.01), exposing the antrum, preserving the lateral semicircular canal (p < 0.05), sharpening the sinodural angle (p < 0.01), exposing the tegmen and attic, preserving the ossicles (p < 0.01), and thinning and preserving the external auditory canal (p < 0.05).
Conclusion: AR simulation in mastoidectomy, even in a single session, improved the proficiency of novice surgeons compared with traditional methods.
Level of Evidence: NA Laryngoscope, 2024.
(© 2024 The Author(s). The Laryngoscope published by Wiley Periodicals LLC on behalf of The American Laryngological, Rhinological and Otological Society, Inc.)
Databáze: MEDLINE
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