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

Autor: Zsófia Wlasitsch-Nagy, MD, Alexandra Bálint, MD, PhD, Anikó Kőnig-Péter, PhD, Péter Varga, MD, Edit Várady, MD, PhD, Péter Bogner, MD, PhD, Balázs Gasz, MD, PhD
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Vascular Surgery Cases and Innovative Techniques, Vol 8, Iss 4, Pp 770-778 (2022)
Druh dokumentu: article
ISSN: 2468-4287
DOI: 10.1016/j.jvscit.2022.09.012
Popis: 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.
Databáze: Directory of Open Access Journals