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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Main Authors: Simar P. Singh, Amir Mehdi Shayan, Jianxin Gao, Joseph Bible, Richard E. Groff, Ravikiran Singapogu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Engineering in Medicine and Biology
Subjects:
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.
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institution Kabale University
issn 2644-1276
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publishDate 2024-01-01
publisher IEEE
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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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AT josephbible objectiveandautomatedquantificationofinstrumenthandlingforopensurgicalsuturingskillassessmentasimulationbasedstudy
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