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New computational fluid dynamics-based method for morphological and functional assessment in cardiovascular skill training

OBJECTIVE: During cardiovascular surgical skill training, the direct quantification regarding surgical performance is still lacking, including transferring clinically relevant information. METHODS: We introduced a novel computational fluid dynamics-based method in support of vascular surgical hands-...

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Detalles Bibliográficos
Autores principales: Wlasitsch-Nagy, Zsófia, Bálint, Alexandra, Kőnig-Péter, Anikó, Varga, Péter, Várady, Edit, Bogner, Péter, Gasz, Balázs
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691467/
https://www.ncbi.nlm.nih.gov/pubmed/36438672
http://dx.doi.org/10.1016/j.jvscit.2022.09.012
Descripción
Sumario:OBJECTIVE: During cardiovascular surgical skill training, the direct quantification regarding surgical performance is still lacking, including transferring clinically relevant information. METHODS: We introduced a novel computational fluid dynamics-based method in support of vascular surgical hands-on training, which applies continuous self-assessment in vascular anastomoses. The validation of the methodology was implemented in comparing with conventional training courses. RESULTS: The fifth and seventh consecutive anastomoses of the experimental group showed significantly improved results regarding anastomosis quality when compared with the control group. CONCLUSIONS: Consecutive demonstration of three-dimensional morphology and functional assessment of anastomoses results in improved practical performance among learners regarding anastomosis quality.