Objective and Automated Quantification of Instrument Handling for Open Surgical Suturing Skill Assessment: A Simulation-Based Study

被引:0
|
作者
Singh, Simar P. [1 ]
Shayan, Amir Mehdi [1 ]
Gao, Jianxin [2 ]
Bible, Joseph [3 ]
Groff, Richard E. [2 ]
Singapogu, Ravikiran [1 ]
机构
[1] Clemson Univ, Dept Bioengn, Clemson, SC 29634 USA
[2] Clemson Univ, Dept Elect & Comp Engn, Clemson, SC 29634 USA
[3] Clemson Univ, Dept Math & Stat Sci, Clemson, SC 29634 USA
来源
IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY | 2024年 / 5卷
基金
美国国家卫生研究院;
关键词
Motion smoothness; skill training; surgical simulation; surgical skill assessment; CONSTRUCT-VALIDITY; VASCULAR-SURGERY; MODEL; PERFORMANCE; SMOOTHNESS; MOVEMENTS; METRICS;
D O I
10.1109/OJEMB.2024.3402393
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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.
引用
收藏
页码:485 / 493
页数:9
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