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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-...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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 |
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. |
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