Academic Journal
Measuring hand movement for suturing skill assessment: A simulation-based study.
| Τίτλος: | Measuring hand movement for suturing skill assessment: A simulation-based study. |
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| Συγγραφείς: | Shayan AM; Department of Bioengineering, Clemson University, SC., Singh S; Department of Bioengineering, Clemson University, SC., Gao J; Department of Electrical and Computer Engineering, Clemson University, SC., Groff RE; Department of Electrical and Computer Engineering, Clemson University, SC., Bible J; School of Mathematical and Statistical Sciences, Clemson University, SC., Eidt JF; Department of Vascular Surgery, Baylor Scott and White Heart and Vascular Hospital, Dallas, TX., Sheahan M; Division of Vascular and Endovascular Surgery, Department of Surgery, Louisiana State University Health Sciences Centre, New Orleans, LA., Gandhi SS; University of South Carolina School of Medicine-Greenville, SC; Division of Vascular Surgery, Greenville Health System, SC., Blas JV; University of South Carolina School of Medicine-Greenville, SC; Division of Vascular Surgery, Greenville Health System, SC., Singapogu R; Department of Bioengineering, Clemson University, SC. Electronic address: joseph@clemson.edu. |
| Πηγή: | Surgery [Surgery] 2023 Nov; Vol. 174 (5), pp. 1184-1192. Date of Electronic Publication: 2023 Aug 17. |
| Τύπος έκδοσης: | Journal Article; Research Support, N.I.H., Extramural |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Mosby Country of Publication: United States NLM ID: 0417347 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-7361 (Electronic) Linking ISSN: 00396060 NLM ISO Abbreviation: Surgery Subsets: MEDLINE |
| Imprint Name(s): | Publication: St. Louis, MO : Mosby Original Publication: St. Louis. |
| Ιατρικοί όροι (MeSH): | Laparoscopy*/education , Surgeons*, Humans ; Clinical Competence ; Computer Simulation ; Motion |
| Περίληψη: | Background: To maximize patient safety, surgical skills education is increasingly adopting simulation-based curricula for formative skills assessment and training. However, many standardized assessment tools rely on human raters for performance assessment, which is resource-intensive and subjective. Simulators that provide automated and objective metrics from sensor data can address this limitation. We present an instrumented bench suturing simulator, patterned after the clock face radial suturing model from the Fundamentals of Vascular Surgery, for automated and objective assessment of open suturing skills. Methods: For this study, 97 participants (35 attending surgeons, 32 residents, and 30 novices) were recruited at national vascular conferences. Automated hand motion metrics, especially focusing on rotational motion analysis, were developed from the inertial measurement unit attached to participants' hands, and the proposed suite of metrics was used to differentiate between the skill levels of the 3 groups. Results: Attendings' and residents' performances were found to be significantly different from novices for all metrics. Moreover, most of our novel metrics could successfully distinguish between finer skill differences between attending and resident groups. In contrast, traditional operative skill metrics, such as time and path length, were unable to distinguish attendings from residents. Conclusion: This study provides evidence for the effectiveness of rotational motion analysis in assessing suturing skills. The suite of inertial measurement unit-based hand motion metrics introduced in this study allows for the incorporation of hand movement data for suturing skill assessment. (Copyright © 2023 Elsevier Inc. All rights reserved.) |
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| Grant Information: | R01 HL146843 United States HL NHLBI NIH HHS |
| Entry Date(s): | Date Created: 20230819 Date Completed: 20231009 Latest Revision: 20241102 |
| Update Code: | 20260130 |
| PubMed Central ID: | PMC10592328 |
| DOI: | 10.1016/j.surg.2023.07.007 |
| PMID: | 37597999 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1532-7361 |
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| DOI: | 10.1016/j.surg.2023.07.007 |