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DOI: 10.1055/s-0044-1785666
Analysis of the Accuracy of CAM-type Deformity Resection on a Low-cost Arthroscopic Simulator in a Training Scenario
Artikel in mehreren Sprachen: português | English Financial Support This work was supported by the scientific initiation program of the Faculdade de Ciências Medicas Suprema, as well as the PIBIC/Cnpq scientific initiation program of the Universidade Federal de Juiz de Fora.Abstract
Objective To evaluate surgeons' performance in resecting CAM-type deformities using a realistic arthroscopic surgery simulator.
Methods An arthroscopic simulator was created using low-cost materials with the help of a GTMax Core A1 3D printer and the programs Invesalius and Meshmixer 2017, which were used to develop femoral head parts in ABS material, with the presence of a CAM-type deformity, to mimic a femoroacetabular impact situation. After the operations were performed by 16 surgeons, the femurs were compared to a previous model with deformity and another without, using Cloudcompare, and parameters such as the volumetric difference between the operated femurs, with and without deformity, the minimum and maximum distance between them, the percentage of the deformity resected, the estimated time for total resection of the deformity, as well as a qualitative analysis based on the images and graphs provided by the program representing the areas of the parts resected, were evaluated at the end.
Results The average resection speed was 34.66 mm3/min (SD = 46 mm3/min, max = 147.33; min = -2.66). The average resection rate was 26.2% (SD = 34.7%, max = 111; min = -2). Qualitative analysis showed hyporesection of deformities and sometimes hyperresection of nondeformed areas. The simulator was highly rated by the surgeons, with a tactile sensation very similar to real surgery, according to them.
Conclusion Arthroscopic simulators have proved very useful in training less experienced surgeons.
Work carried out at the Juiz de Fora School of Medical and Health Sciences/Suprema, Juiz de Fora, MG, Brazil.
Publikationsverlauf
Eingereicht: 16. November 2023
Angenommen: 15. Januar 2024
Artikel online veröffentlicht:
22. Juni 2024
© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution 4.0 International License, permitting copying and reproduction so long as the original work is given appropriate credit (https://creativecommons.org/licenses/by/4.0/)
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