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Objective and Automated Quantification of Instrument Handling for Open Surgical Suturing Skill Assessment: A Simulation-Based Study.
Singh, Simar P; Shayan, Amir Mehdi; Gao, Jianxin; Bible, Joseph; Groff, Richard E; Singapogu, Ravikiran.
Afiliação
  • Singh SP; Department of BioengineeringClemson University Clemson SC 29634 USA.
  • Shayan AM; Department of BioengineeringClemson University Clemson SC 29634 USA.
  • Gao J; Department of Electrical and Computer EngineeringClemson University Clemson SC 29634 USA.
  • Bible J; Department of Mathematical and Statistical SciencesClemson University Clemson SC 29634 USA.
  • Groff RE; Department of Electrical and Computer EngineeringClemson University Clemson SC 29634 USA.
  • Singapogu R; Department of BioengineeringClemson University Clemson SC 29634 USA.
IEEE Open J Eng Med Biol ; 5: 485-493, 2024.
Article em En | MEDLINE | ID: mdl-39050974
ABSTRACT
Goal Vascular surgical procedures are challenging and require proficient suturing skills. To develop these skills, medical training simulators with objective feedback for formative assessment are gaining popularity. As hardware advancements offer more complex, unique sensors, determining effective task performance measures becomes imperative for efficient suturing training.

Methods:

97 subjects of varying clinical expertise completed four trials on a suturing skills measurement and feedback platform (SutureCoach). Instrument handling metrics were calculated from electromagnetic motion trackers affixed to the needle driver.

Results:

The results of the study showed that all metrics significantly differentiated between novices (no medical experience) from both experts (attending surgeons/fellows) and intermediates (residents). Rotational motion metrics were more consistent in differentiating experts and intermediates over traditionally used tooltip motion metrics.

Conclusions:

Our work emphasizes the importance of tool motion metrics for open suturing skills assessment and establishes groundwork to explore rotational motion for quantifying a critical facet of surgical performance.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article