Litcius/Paper detail

Cochlear implant surgery: Learning curve in virtual reality simulation training and transfer of skills to a 3D-printed temporal bone – A prospective trial

Martin Frendø, Andreas Frithioff, Lars Konge, Mads Sølvsten Sørensen, Steven Arild Wuyts Andersen

2021Cochlear Implants International25 citationsDOI

Abstract

OBJECTIVE: Mastering Cochlear Implant (CI) surgery requires repeated practice, preferably initiated in a safe - i.e. simulated - environment. Mastoidectomy Virtual Reality (VR) simulation-based training (SBT) is effective, but SBT of CI surgery largely uninvestigated. The learning curve is imperative for understanding surgical skills acquisition and developing competency-based training. Here, we explore learning curves in VR SBT of CI surgery and transfer of skills to a 3D-printed model. METHODS: Prospective, single-arm trial. Twenty-four novice medical students completed a pre-training CI inserting test on a commercially available pre-drilled 3D-printed temporal bone. A training program of 18 VR simulation CI procedures was completed in the Visual Ear Simulator over four sessions. Finally, a post-training test similar to the pre-training test was completed. Two blinded experts rated performances using the validated Cochlear Implant Surgery Assessment Tool (CISAT). Performance scores were analyzed using linear mixed models. RESULTS: < 0.001), demonstrating skills transfer. DISCUSSION: VR SBT of CI surgery improves novices' performance. It is useful for introducing the procedure and acquiring basic skills. CI surgery training should pivot on objective performance assessment for reaching pre-defined competency before cadaver - or real-life surgery. Simulation-based training provides a structured and safe learning environment for initial training. CONCLUSION: CI surgery skills improve from VR SBT, which can be used to learn the fundamentals of CI surgery.

Topics & Concepts

Learning curveCochlear implantVirtual realityAudiologyTemporal boneTransfer of learningCochlear implantationTraining (meteorology)MedicineDentistryComputer scienceSurgeryHuman–computer interactionArtificial intelligenceOperating systemMeteorologyPhysicsSurgical Simulation and TrainingHearing Loss and RehabilitationMeningioma and schwannoma management