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The Development and Validation of Novel 3-Dimensional Models for Simulation Training in Sinonasal and Skull Base Surgery

Umar Rehman, Saleh Okhovat, Robbie Woods, Nyall R London, Benjamin Verillaud, Christian von Buchwald, Gary L Gallia, Sacit Bulent Omay, Warren Bennett, Kumar Abhinav, Garret Choby, Jayakar V Nayak, Samuel C Leong, Erich Vyskocil, Matt Lechner

1 Citation (Scopus)

Abstract

INTRODUCTION: As the demand for otolaryngologists increases, there is a need to address workforce and training challenges. Technological advancements, such as high-fidelity 3-dimensional (3D) simulations, may help train the future workforce-particularly for conditions with limited exposure, such as sinonasal and skull base cancers.

AIMS: This study aimed to develop and validate a high-fidelity head and neck model, created using proprietary 3D printing technology, to simulate sinonasal and skull base surgery.

METHODOLOGY: The sinonasal and skull base models were designed and produced using proprietary 3D printing technology (Fusetec). 3D printed models were incorporated into a 2-day dissection course. Surveys were completed by delegates and faculty on the course, with delegates having their surgical performance assessed using the Objective Structures Assessment of Technical Skills (OSATS).

RESULTS: A total of 21 delegates and 10 faculty had utilized the 3D printed models for sinonasal and skull base surgery training. Overall, 71.4% of delegates (n = 15) and 70.0% (n = 7) of faculty rated the realism of the models as very good/excellent. The mean pre course OSATS score was 22.57/40 (SD ±6.88) and the post course OSATS score was seen to be 25.7/40 (SD ±4.70; P < .0001). The total confidence reported by delegates prior to the course was 25.8/45 (SD ±7.00) and following the course the self-reported confidence was 33.6/45 (SD ±3.62; P < .001).

CONCLUSION: This study developed and validated a novel 3D model for simulating sinonasal and skull base surgery, which improved surgical performance amongst participants. This offers a potential training solution to address workforce challenges in Otolaryngology.

Original languageEnglish
Article number00034894251340879
JournalAnnals of Otology, Rhinology and Laryngology
ISSN0003-4894
DOIs
Publication statusE-pub ahead of print - 27 May 2025

Keywords

  • 3D models
  • cancer
  • simulation
  • sinonasal and skull base surgery
  • surgical education

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