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Objective Assessment of Endovascular Navigation Skills with Force Sensing.
Rafii-Tari, Hedyeh; Payne, Christopher J; Bicknell, Colin; Kwok, Ka-Wai; Cheshire, Nicholas J W; Riga, Celia; Yang, Guang-Zhong.
Afiliação
  • Rafii-Tari H; The Hamlyn Centre for Robotic Surgery, Imperial College London, Level 4, Bessemer Building, South Kensington Campus, London, SW7 2AZ, UK. h.rafii-tari11@imperial.ac.uk.
  • Payne CJ; The Hamlyn Centre for Robotic Surgery, Imperial College London, Level 4, Bessemer Building, South Kensington Campus, London, SW7 2AZ, UK.
  • Bicknell C; Academic Division of Surgery, Imperial College London, London, UK.
  • Kwok KW; The Hamlyn Centre for Robotic Surgery, Imperial College London, Level 4, Bessemer Building, South Kensington Campus, London, SW7 2AZ, UK.
  • Cheshire NJW; Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, People's Republic of China.
  • Riga C; Academic Division of Surgery, Imperial College London, London, UK.
  • Yang GZ; Academic Division of Surgery, Imperial College London, London, UK.
Ann Biomed Eng ; 45(5): 1315-1327, 2017 05.
Article em En | MEDLINE | ID: mdl-28181002
Despite the increasing popularity of endovascular intervention in clinical practice, there remains a lack of objective and quantitative metrics for skill evaluation of endovascular techniques. Data relating to the forces exerted during endovascular procedures and the behavioral patterns of endovascular clinicians is currently limited. This research proposes two platforms for measuring tool forces applied by operators and contact forces resulting from catheter-tissue interactions, as a means of providing accurate, objective metrics of operator skill within a realistic simulation environment. Operator manipulation patterns are compared across different experience levels performing various complex catheterization tasks, and different performance metrics relating to tool forces, catheter motion dynamics, and forces exerted on the vasculature are extracted. The results depict significant differences between the two experience groups in their force and motion patterns across different phases of the procedures, with support vector machine (SVM) classification showing cross-validation accuracies as high as 90% between the two skill levels. This is the first robust study, validated across a large pool of endovascular specialists, to present objective measures of endovascular skill based on exerted forces. The study also provides significant insights into the design of optimized metrics for improved training and performance assessment of catheterization tasks.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cateterismo / Competência Clínica / Procedimentos Endovasculares / Máquina de Vetores de Suporte / Modelos Teóricos / Movimento (Física) Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cateterismo / Competência Clínica / Procedimentos Endovasculares / Máquina de Vetores de Suporte / Modelos Teóricos / Movimento (Física) Idioma: En Ano de publicação: 2017 Tipo de documento: Article