Assessment of open surgery suturing skill: Simulator platform, force-based, and motion-based metrics
ObjectiveThis paper focuses on simulator-based assessment of open surgery suturing skill. We introduce a new surgical simulator designed to collect synchronized force, motion, video and touch data during a radial suturing task adapted from the Fundamentals of Vascular Surgery (FVS) skill assessment....
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-08-01
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| Series: | Frontiers in Medicine |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2022.897219/full |
| _version_ | 1811282785110851584 |
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| author | Irfan Kil John F. Eidt Richard E. Groff Ravikiran B. Singapogu |
| author_facet | Irfan Kil John F. Eidt Richard E. Groff Ravikiran B. Singapogu |
| author_sort | Irfan Kil |
| collection | DOAJ |
| description | ObjectiveThis paper focuses on simulator-based assessment of open surgery suturing skill. We introduce a new surgical simulator designed to collect synchronized force, motion, video and touch data during a radial suturing task adapted from the Fundamentals of Vascular Surgery (FVS) skill assessment. The synchronized data is analyzed to extract objective metrics for suturing skill assessment.MethodsThe simulator has a camera positioned underneath the suturing membrane, enabling visual tracking of the needle during suturing. Needle tracking data enables extraction of meaningful metrics related to both the process and the product of the suturing task. To better simulate surgical conditions, the height of the system and the depth of the membrane are both adjustable. Metrics for assessment of suturing skill based on force/torque, motion, and physical contact are presented. Experimental data are presented from a study comparing attending surgeons and surgery residents.ResultsAnalysis shows force metrics (absolute maximum force/torque in z-direction), motion metrics (yaw, pitch, roll), physical contact metric, and image-enabled force metrics (orthogonal and tangential forces) are found to be statistically significant in differentiating suturing skill between attendings and residents.Conclusion and significanceThe results suggest that this simulator and accompanying metrics could serve as a useful tool for assessing and teaching open surgery suturing skill. |
| first_indexed | 2024-04-13T01:58:44Z |
| format | Article |
| id | doaj.art-e89f3624c542468782a5abc95e212997 |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-04-13T01:58:44Z |
| publishDate | 2022-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj.art-e89f3624c542468782a5abc95e2129972022-12-22T03:07:42ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2022-08-01910.3389/fmed.2022.897219897219Assessment of open surgery suturing skill: Simulator platform, force-based, and motion-based metricsIrfan Kil0John F. Eidt1Richard E. Groff2Ravikiran B. Singapogu3Department of Electrical and Computer Engineering, Clemson University, Clemson, SC, United StatesDivision of Vascular Surgery, Baylor Scott & White Heart and Vascular Hospital, Dallas, TX, United StatesDepartment of Electrical and Computer Engineering, Clemson University, Clemson, SC, United StatesDepartment of Bioengineering, Clemson University, Clemson, SC, United StatesObjectiveThis paper focuses on simulator-based assessment of open surgery suturing skill. We introduce a new surgical simulator designed to collect synchronized force, motion, video and touch data during a radial suturing task adapted from the Fundamentals of Vascular Surgery (FVS) skill assessment. The synchronized data is analyzed to extract objective metrics for suturing skill assessment.MethodsThe simulator has a camera positioned underneath the suturing membrane, enabling visual tracking of the needle during suturing. Needle tracking data enables extraction of meaningful metrics related to both the process and the product of the suturing task. To better simulate surgical conditions, the height of the system and the depth of the membrane are both adjustable. Metrics for assessment of suturing skill based on force/torque, motion, and physical contact are presented. Experimental data are presented from a study comparing attending surgeons and surgery residents.ResultsAnalysis shows force metrics (absolute maximum force/torque in z-direction), motion metrics (yaw, pitch, roll), physical contact metric, and image-enabled force metrics (orthogonal and tangential forces) are found to be statistically significant in differentiating suturing skill between attendings and residents.Conclusion and significanceThe results suggest that this simulator and accompanying metrics could serve as a useful tool for assessing and teaching open surgery suturing skill.https://www.frontiersin.org/articles/10.3389/fmed.2022.897219/fullmedical simulatorobjective metricssensor informaticssuturingskill assessment |
| spellingShingle | Irfan Kil John F. Eidt Richard E. Groff Ravikiran B. Singapogu Assessment of open surgery suturing skill: Simulator platform, force-based, and motion-based metrics Frontiers in Medicine medical simulator objective metrics sensor informatics suturing skill assessment |
| title | Assessment of open surgery suturing skill: Simulator platform, force-based, and motion-based metrics |
| title_full | Assessment of open surgery suturing skill: Simulator platform, force-based, and motion-based metrics |
| title_fullStr | Assessment of open surgery suturing skill: Simulator platform, force-based, and motion-based metrics |
| title_full_unstemmed | Assessment of open surgery suturing skill: Simulator platform, force-based, and motion-based metrics |
| title_short | Assessment of open surgery suturing skill: Simulator platform, force-based, and motion-based metrics |
| title_sort | assessment of open surgery suturing skill simulator platform force based and motion based metrics |
| topic | medical simulator objective metrics sensor informatics suturing skill assessment |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2022.897219/full |
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