| Autor: |
Urs Borner, Marco Caversaccio, Franca Wagner, Francis Marchal, Lukas Anschuetz |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Laryngoscope Investigative Otolaryngology, Vol 8, Iss 4, Pp 903-911 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2378-8038 |
| DOI: |
10.1002/lio2.1116 |
| Popis: |
Abstract Objective Sialendoscopy is a minimally invasive diagnostic and therapeutic technique used in the treatment of various salivary gland diseases. To date, there are very few suitable training models other than the pig's head, which has been used at the European Sialendoscopy Training Center for 22 years. The goal of this study was to describe an ovine model for sialendoscopy training and compare the ovine model's to the human anatomy. We propose a step‐by‐step approach for sialendoscopy training using this ex‐vivo model. Methods The anatomy of the ovine salivary ducts and glands was assessed by magnetic resonance imaging using one fresh ovine head. Thereafter, the model was designed during dissection by an experienced sialendoscopist. The various steps were then validated during consecutive dissections using a Likert‐scale questionnaire. Results The full model was described in the form of a dissection guide and allowed reliable diagnostic sialendoscopy in 10/10 Stenson's and in 5/10 Wharton's ducts. Moreover, interventional sialendoscopy was simulated to provide a training model for the removal of sialoliths in the Stenson's duct. The human and ovine anatomy are quite similar allowing a training experience close to reality. Conclusion We developed and evaluated an ovine model with the goal of improving training in diagnostic and interventional sialendoscopy. In particular, the Stenson's duct can be successfully prepared, probed and subjected to sialendoscopy. The realistic anatomical environment and excellent tissue quality created a life‐like training experience for an experienced sialendoscopist. Further studies with beginners are necessary to validate this model as a training model. Level of Evidence 4. |
| Databáze: |
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