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Robot-assisted knee arthroplasty: Analyzing the learning curve and initial institutional experience.
Ejnisman, Leandro; Antonioli, Eliane; Cintra, Luciana; de Oliveira Souza, Pamela Gabriela; Costa, Lauro Augusto Veloso; Lenza, Mario.
Afiliação
  • Ejnisman L; Hospital Israelita Albert Einstein (HIAE), Av. Albert Einstein 627, Morumbi, 05652-000 São Paulo, SP, Brazil.
  • Antonioli E; Hospital Israelita Albert Einstein (HIAE), Av. Albert Einstein 627, Morumbi, 05652-000 São Paulo, SP, Brazil.
  • Cintra L; Hospital Israelita Albert Einstein (HIAE), Av. Albert Einstein 627, Morumbi, 05652-000 São Paulo, SP, Brazil.
  • de Oliveira Souza PG; Hospital Israelita Albert Einstein (HIAE), Av. Albert Einstein 627, Morumbi, 05652-000 São Paulo, SP, Brazil.
  • Costa LAV; Hospital Israelita Albert Einstein (HIAE), Av. Albert Einstein 627, Morumbi, 05652-000 São Paulo, SP, Brazil.
  • Lenza M; Hospital Israelita Albert Einstein (HIAE), Av. Albert Einstein 627, Morumbi, 05652-000 São Paulo, SP, Brazil.
Comput Struct Biotechnol J ; 24: 343-349, 2024 Dec.
Article em En | MEDLINE | ID: mdl-38706810
ABSTRACT
Robot-assisted total knee arthroplasty (rTKA) involves a learning curve for orthopedic surgeons. The aim of the present study was to assess the surgical times of rTKA procedures performed by initial stage and proficiency stage surgeons in comparison with times of conventional total knee arthroplasty (cTKA). The results reveal that the learning curve for rTKA varies considerable between surgeons, suggesting that the skill and aptitude of the individual to adapt to the robotic system play key roles in the learning process. Proficiency stage surgeons were able to reduce rTKA surgical times to levels comparable with those of conventional surgeries after performing approximately 30 to 40 robotic procedures. Ongoing research has shown promising outcomes in terms of improved clinical results and reduced complications following the application of advanced robotic technology to total knee arthroplasty.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Comput Struct Biotechnol J Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Comput Struct Biotechnol J Ano de publicação: 2024 Tipo de documento: Article