Objective and Automated Quantification of Instrument Handling for Open Surgical Suturing Skill Assessment: A Simulation-Based Study
<italic>Goal:</italic> 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 se...
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| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Open Journal of Engineering in Medicine and Biology |
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| Online Access: | https://ieeexplore.ieee.org/document/10533671/ |
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| author | Simar P. Singh Amir Mehdi Shayan Jianxin Gao Joseph Bible Richard E. Groff Ravikiran Singapogu |
| author_facet | Simar P. Singh Amir Mehdi Shayan Jianxin Gao Joseph Bible Richard E. Groff Ravikiran Singapogu |
| author_sort | Simar P. Singh |
| collection | DOAJ |
| description | <italic>Goal:</italic> 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. <italic>Methods:</italic> 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. <italic>Results:</italic> 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. <italic>Conclusions:</italic> 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. |
| format | Article |
| id | doaj-art-de9b994ae7f547d18b533038d6e12df5 |
| institution | Kabale University |
| issn | 2644-1276 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Engineering in Medicine and Biology |
| spelling | doaj-art-de9b994ae7f547d18b533038d6e12df52025-01-30T00:03:53ZengIEEEIEEE Open Journal of Engineering in Medicine and Biology2644-12762024-01-01548549310.1109/OJEMB.2024.340239310533671Objective and Automated Quantification of Instrument Handling for Open Surgical Suturing Skill Assessment: A Simulation-Based StudySimar P. Singh0https://orcid.org/0009-0001-8755-6866Amir Mehdi Shayan1https://orcid.org/0000-0002-8578-0266Jianxin Gao2Joseph Bible3https://orcid.org/0000-0002-7010-5321Richard E. Groff4Ravikiran Singapogu5https://orcid.org/0000-0001-9056-8465Department of Bioengineering, Clemson University, Clemson, SC, USADepartment of Bioengineering, Clemson University, Clemson, SC, USADepartment of Electrical and Computer Engineering, Clemson University, Clemson, SC, USADepartment of Mathematical and Statistical Sciences, Clemson University, Clemson, SC, USADepartment of Electrical and Computer Engineering, Clemson University, Clemson, SC, USADepartment of Bioengineering, Clemson University, Clemson, SC, USA<italic>Goal:</italic> 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. <italic>Methods:</italic> 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. <italic>Results:</italic> 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. <italic>Conclusions:</italic> 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.https://ieeexplore.ieee.org/document/10533671/Motion smoothnessskill trainingsurgical simulationsurgical skill assessment |
| spellingShingle | Simar P. Singh Amir Mehdi Shayan Jianxin Gao Joseph Bible Richard E. Groff Ravikiran Singapogu Objective and Automated Quantification of Instrument Handling for Open Surgical Suturing Skill Assessment: A Simulation-Based Study IEEE Open Journal of Engineering in Medicine and Biology Motion smoothness skill training surgical simulation surgical skill assessment |
| title | Objective and Automated Quantification of Instrument Handling for Open Surgical Suturing Skill Assessment: A Simulation-Based Study |
| title_full | Objective and Automated Quantification of Instrument Handling for Open Surgical Suturing Skill Assessment: A Simulation-Based Study |
| title_fullStr | Objective and Automated Quantification of Instrument Handling for Open Surgical Suturing Skill Assessment: A Simulation-Based Study |
| title_full_unstemmed | Objective and Automated Quantification of Instrument Handling for Open Surgical Suturing Skill Assessment: A Simulation-Based Study |
| title_short | Objective and Automated Quantification of Instrument Handling for Open Surgical Suturing Skill Assessment: A Simulation-Based Study |
| title_sort | objective and automated quantification of instrument handling for open surgical suturing skill assessment a simulation based study |
| topic | Motion smoothness skill training surgical simulation surgical skill assessment |
| url | https://ieeexplore.ieee.org/document/10533671/ |
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