ArticleFrontiers in medicine2022
Assessment of open surgery suturing skill: Simulator platform, force-based, and motion-based metrics.
Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 15 citations in OpenAlex.
- [Application of artificial intelligence for surgical skill assessment and quality control in minimally invasive surgery: progress, problems and prospect].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026Review
- Developing and evaluating image-based metrics for open surgical suturing skill assessment.Global surgical education : journal of the Association for Surgical Education · 2026Article
- Evaluating force and motion in posterior vitreous detachment manoeuvres using a robotic data acquisition system in cadaveric human eyes.Scientific reports · 2025Article
- Functional Data Analysis of Hand Rotation for Open Surgical Suturing Skill Assessment.IEEE journal of biomedical and health informatics · 2025Article
- Artificial intelligence integration in surgery through hand and instrument tracking: a systematic literature review.Frontiers in surgery · 2025Review
- Assessment of Open Surgery Suturing Skill: Image-based Metrics Using Computer Vision.Journal of surgical education · 2024Article
- 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 · 2024Article
- Article
- Houston Methodist Ruptured Abdominal Aortic Aneurysm Guidelines.Methodist DeBakey cardiovascular journal · 2023Review
- Extracting Subtask-specific Metrics Toward Objective Assessment of Needle Insertion Skill for Hemodialysis Cannulation.Journal of medical robotics researchArticle
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This 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. Methods: The 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. Results: Analysis 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 significance: The results suggest that this simulator and accompanying metrics could serve as a useful tool for assessing and teaching open surgery suturing skill.
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