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Objective and Automated Quantification of Instrument Handling for Open Surgical Suturing Skill Assessment: A Simulation-Based Study
  • +3
  • Simar P. Singh,
  • Amir Mehdi Shayan,
  • Jianxin Gao,
  • Joe Bible,
  • Richard E. Groff,
  • Ravikiran Singapogu
Simar P. Singh

Corresponding Author:[email protected]

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Amir Mehdi Shayan
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Jianxin Gao
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Richard E. Groff
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Ravikiran Singapogu
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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.

Impact Statement–This study aims to determine the effectiveness of metrics derived from needle driver rotational and tooltip motion tracking to determine differences in clinical expertise in open needle driving.

31 Jan 2024Submitted to TechRxiv
06 Feb 2024Published in TechRxiv