Matteo Fermi1, Francesco Mattioli2, Michael Ghirelli2, Francesco Maccarrone3, Gabriele Molteni4, Livio Presutti1, Matteo Alicandri-Ciufelli2. 1. Otorhinolaryngology-Head and Neck Surgery Department, University Hospital of Modena, Largo del Pozzo, 71, 41125, Modena Italy; Otorhinolaryngology-Head and Neck Surgery Department, IRCCS Policlinico Sant'Orsola Malpighi, Via Massarenti, 9, 40138, Bologna, Italy. 2. Otorhinolaryngology-Head and Neck Surgery Department, University Hospital of Modena, Largo del Pozzo, 71, 41125, Modena Italy. 3. Otorhinolaryngology-Head and Neck Surgery Department, University Hospital of Modena, Largo del Pozzo, 71, 41125, Modena Italy. Electronic address: fra.maccarrone@gmail.com. 4. Otorhinolaryngology-Head and Neck Surgery Department, University Hospital of Verona, Piazzale Aristide Stefani, 1, 37126, Verona, Italy.
Abstract
OBJECTIVES: To develop and validate an ex-vivo dissection model suitable for open laryngeal surgery (open partial laryngectomy and total laryngectomy) training. METHODS: A fresh ex-vivo 6-months old ovine model was tested by experienced laryngologists and validated during two international dissection courses on open laryngeal surgery held in December 2018 and 2019. Each participant completed a survey to subjectively evaluate the dissection experience. Likewise, four experienced laryngologists rated their experience. Statistical comparison of these ratings was performed. RESULTS: The suitability of the ex-vivo ovine model for open laryngeal surgery was assessed among 28 head and neck surgeons with a mean experience of 6.3 years and 4 expert laryngologists. The feedback from all the participants was excellent with a mean overall impression of 9.5 (± 0.7 SD) and a mean recommendation score of 9.6 (± 0.6 SD) for further use. No statistically significant differences were found comparing neither the overall grade (p= 0.63) nor the recommendation rating (p= 0.24), testifying that even for expert laryngologists this remains a viable model for open laryngeal surgery training. CONCLUSIONS: The complexity of open laryngeal surgery makes simulation an attractive option for developing skills that are transferrable to operating setting. Due to the anatomic resemblance with the human, the ex-vivo ovine model is herein proposed as a training model for open laryngeal surgery. Validation among beginners and expert laryngologists revealed its suitability as effective teaching means in laryngectomies.
OBJECTIVES: To develop and validate an ex-vivo dissection model suitable for open laryngeal surgery (open partial laryngectomy and total laryngectomy) training. METHODS: A fresh ex-vivo 6-months old ovine model was tested by experienced laryngologists and validated during two international dissection courses on open laryngeal surgery held in December 2018 and 2019. Each participant completed a survey to subjectively evaluate the dissection experience. Likewise, four experienced laryngologists rated their experience. Statistical comparison of these ratings was performed. RESULTS: The suitability of the ex-vivo ovine model for open laryngeal surgery was assessed among 28 head and neck surgeons with a mean experience of 6.3 years and 4 expert laryngologists. The feedback from all the participants was excellent with a mean overall impression of 9.5 (± 0.7 SD) and a mean recommendation score of 9.6 (± 0.6 SD) for further use. No statistically significant differences were found comparing neither the overall grade (p= 0.63) nor the recommendation rating (p= 0.24), testifying that even for expert laryngologists this remains a viable model for open laryngeal surgery training. CONCLUSIONS: The complexity of open laryngeal surgery makes simulation an attractive option for developing skills that are transferrable to operating setting. Due to the anatomic resemblance with the human, the ex-vivo ovine model is herein proposed as a training model for open laryngeal surgery. Validation among beginners and expert laryngologists revealed its suitability as effective teaching means in laryngectomies.
Authors: Matteo Fermi; Francesco Chiari; Francesco Mattioli; Marco Bonali; Giulia Molinari; Matteo Alicandri-Ciufelli; Lukas Anschuetz; Ignacio Javier Fernandez; Livio Presutti Journal: Int J Environ Res Public Health Date: 2022-03-19 Impact factor: 3.390