Academic Journal
Objective and Automated Quantification of Instrument Handling for Open Surgical Suturing Skill Assessment: A Simulation-Based Study.
| Τίτλος: | Objective and Automated Quantification of Instrument Handling for Open Surgical Suturing Skill Assessment: A Simulation-Based Study. |
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| Συγγραφείς: | Singh SP; Department of BioengineeringClemson University Clemson SC 29634 USA., Shayan AM; Department of BioengineeringClemson University Clemson SC 29634 USA., Gao J; Department of Electrical and Computer EngineeringClemson University Clemson SC 29634 USA., Bible J; Department of Mathematical and Statistical SciencesClemson University Clemson SC 29634 USA., Groff RE; Department of Electrical and Computer EngineeringClemson University Clemson SC 29634 USA., Singapogu R; Department of BioengineeringClemson University Clemson SC 29634 USA. |
| Πηγή: | IEEE open journal of engineering in medicine and biology [IEEE Open J Eng Med Biol] 2024 May 17; Vol. 5, pp. 485-493. Date of Electronic Publication: 2024 May 17 (Print Publication: 2024). |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: IEEE Country of Publication: United States NLM ID: 101766631 Publication Model: eCollection Cited Medium: Internet ISSN: 2644-1276 (Electronic) Linking ISSN: 26441276 NLM ISO Abbreviation: IEEE Open J Eng Med Biol Subsets: PubMed not MEDLINE |
| Imprint Name(s): | Original Publication: New York, NY : IEEE, [2020]- |
| Περίληψη: | 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. (© 2024 The Authors.) |
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| Contributed Indexing: | Keywords: Motion smoothness; skill training; surgical simulation; surgical skill assessment |
| Entry Date(s): | Date Created: 20240725 Latest Revision: 20240726 |
| Update Code: | 20260130 |
| PubMed Central ID: | PMC11268937 |
| DOI: | 10.1109/OJEMB.2024.3402393 |
| PMID: | 39050974 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 2644-1276 |
|---|---|
| DOI: | 10.1109/OJEMB.2024.3402393 |