Curva de aprendizado de residentes em radiologia durante o treinamento em punção de articulações facetárias guiada por fluoroscopia usando um simulador
Ano de defesa: | 2016 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Tese |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Federal de São Paulo (UNIFESP)
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Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
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País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=4299904 https://repositorio.unifesp.br/handle/11600/46804 |
Resumo: | Objective: To develop a simulator for training in facet joint injections guided by fluoroscopy and evaluate the learning curve in this procedure in a group of radiology residents. Materials and Methods: Using a human lumbar spine as a model, we developed 5 lumbar vertebrae using methacrylate and plaster. These vertebrae were combined to form a spine model. We used a silicon envelopment to emulate the paravertebral muscles. The spine model was placed in the trunk of a plastic mannequin. We recruited 12 volunteers among radiology residents in our department. Each of these students performed 16 lumbar facet injections in our simulator during a training session. We used 3 parameters to assess the learning curves: procedure time, fluoroscopy time and quality of the procedure, defined according to the correct orincorrect positioning of the needle. Results: The learning curves of all the students showed improvement in procedure and fluoroscopy time parameters during the training. The quality of the procedure parameter also showed improvement, defined by a decrease in the number of incorrect injections. Conclusion: We present a simulation model for training in facet joint injections. The learning curves of our trainees using the simulator showed improvement in all assessed parameters. |