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

IF 2.7 Q3 ENGINEERING, BIOMEDICAL IEEE Open Journal of Engineering in Medicine and Biology Pub Date : 2024-03-17 DOI:10.1109/OJEMB.2024.3402393
Simar P. Singh;Amir Mehdi Shayan;Jianxin Gao;Joseph Bible;Richard E. Groff;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.
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开放式手术缝合技能评估中器械操作的客观和自动量化:基于模拟的研究
目标:血管外科手术具有挑战性,需要熟练的缝合技能。为了培养这些技能,带有客观反馈以进行形成性评估的医疗培训模拟器越来越受欢迎。随着硬件的不断进步,传感器的复杂性和独特性也在不断提高,因此确定有效的任务绩效衡量标准已成为高效缝合训练的当务之急。方法:97 名具有不同临床专业知识的受试者在缝合技能测量和反馈平台(SutureCoach)上完成了四次试验。仪器操作指标是通过贴在针驱动器上的电磁运动跟踪器计算得出的。结果显示研究结果表明,新手(无医疗经验)与专家(主治外科医生/研究员)和中级专家(住院医师)之间的所有指标均有明显差异。与传统的工具提示运动指标相比,旋转运动指标在区分专家和中级专家方面更为一致。结论:我们的工作强调了工具运动指标对开放式缝合技能评估的重要性,并为探索旋转运动量化手术表现的一个关键方面奠定了基础。
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来源期刊
CiteScore
9.50
自引率
3.40%
发文量
20
审稿时长
10 weeks
期刊介绍: The IEEE Open Journal of Engineering in Medicine and Biology (IEEE OJEMB) is dedicated to serving the community of innovators in medicine, technology, and the sciences, with the core goal of advancing the highest-quality interdisciplinary research between these disciplines. The journal firmly believes that the future of medicine depends on close collaboration between biology and technology, and that fostering interaction between these fields is an important way to advance key discoveries that can improve clinical care.IEEE OJEMB is a gold open access journal in which the authors retain the copyright to their papers and readers have free access to the full text and PDFs on the IEEE Xplore® Digital Library. However, authors are required to pay an article processing fee at the time their paper is accepted for publication, using to cover the cost of publication.
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