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
{"title":"The Development and Validation of Novel 3-Dimensional Models for Simulation Training in Sinonasal and Skull Base Surgery.","authors":"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","doi":"10.1177/00034894251340879","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Aims: </strong>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.</p><p><strong>Methodology: </strong>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).</p><p><strong>Results: </strong>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; <i>P</i> < .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; <i>P</i> < .001).</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":520787,"journal":{"name":"The Annals of otology, rhinology, and laryngology","volume":" ","pages":"34894251340879"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Annals of otology, rhinology, and laryngology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/00034894251340879","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.