Development of a Synthetic Training Model for Canine Thoracocentesis.

Autor: Haller N; Department of Biomedical Engineering, 5228University of Wisconsin-Madison, Madison, WI, USA., Reiss J; Department of Biomedical Engineering, 5228University of Wisconsin-Madison, Madison, WI, USA., Seipel F; Department of Biomedical Engineering, 5228University of Wisconsin-Madison, Madison, WI, USA., Weishar R; Department of Biomedical Engineering, 5228University of Wisconsin-Madison, Madison, WI, USA., Alden Z; Department of Biomedical Engineering, 5228University of Wisconsin-Madison, Madison, WI, USA., Puccinelli TJ; Department of Biomedical Engineering, 5228University of Wisconsin-Madison, Madison, WI, USA., Walker J; Department of Medical Sciences, 70738School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, USA.
Jazyk: angličtina
Zdroj: Alternatives to laboratory animals : ATLA [Altern Lab Anim] 2020 Mar; Vol. 48 (2), pp. 78-84. Date of Electronic Publication: 2020 May 22.
DOI: 10.1177/0261192920924408
Abstrakt: Thoracocentesis, a procedure in which air or fluid is removed from the pleural space, is used to relieve respiratory distress, and as a diagnostic procedure in human and veterinary medicine. Veterinary students commonly learn and practice the procedure on canine cadavers which are in limited supply and are not amenable to long-term storage and use. Practicing thoracocentesis on a cadaveric model also provides limited feedback indicative of success and/or procedural complications. One commercial model for practicing canine thoracocentesis is available, but it costs over US$2000 and is excessively bulky. In order to improve the learning process for veterinary students, we have developed a reusable synthetic canine thorax model that accurately replicates the thoracocentesis procedure, provides immediate feedback to the students and reduces the need for canine cadavers. The low cost of our product provides an efficient alternative to cadavers for instruction in veterinary schools or hospitals.
Databáze: MEDLINE