ArticleIEEE transactions on bio-medical engineering2019
Suture Breakage Warning System for Robotic Surgery.
Article in IEEE transactions on bio-medical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Tactile Feedback in Robot-Assisted Minimally Invasive Surgery: A Systematic Review.The international journal of medical robotics + computer assisted surgery : MRCAS · 2024Pooled it
- The benefits of haptic feedback in robot assisted surgery and their moderators: a meta-analysis.Scientific reports · 2023Pooled it
- A Two-Stage Grip Force Estimation Method for Surgical Robots Based on BiLSTM-iTransformer.Annals of the New York Academy of Sciences · 2026Article
- Evaluation of forces applied to tissues during robotic-assisted surgical tasks using a novel force feedback technology.Surgical endoscopy · 2024Article
- Purse-string suture with nylon cords and metal clips for the treatment of duodenal fistulae under the endoscope: a case report.Frontiers in medicine · 2024Article
- Individualized Wound Closure-Mechanical Properties of Suture Materials.Journal of personalized medicine · 2022Article
- Bio-Inspired Haptic Feedback for Artificial Palpation in Robotic Surgery.IEEE transactions on bio-medical engineering · 2021Article
- A Simplified Model for Simulating Population Responses of Tactile Afferents and Receptors in the Skin.IEEE transactions on bio-medical engineering · 2021Article
- Vision-Based Suture Tensile Force Estimation in Robotic Surgery.Sensors (Basel, Switzerland) · 2020Article
- Biaxial sensing suture breakage warning system for robotic surgery.Biomedical microdevices · 2019Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
As robotic surgery has increased in popularity, the lack of haptic feedback has become a growing issue due to the application of excessive forces that may lead to clinical problems such as intraoperative and postoperative suture breakage. Previous suture breakage warning systems have largely depended on visual and/or auditory feedback modalities, which have been shown to increase cognitive load and reduce operator performance. This work catalogues a new sensing technology and haptic feedback system (HFS) that can reduce instances of suture failure without negatively impacting performance outcomes including knot quality. Suture breakage is common in knot-tying as the pulling motion introduces prominent shear forces. A shear sensor mountable on the da Vinci robotic surgical system's Cadiere grasper detects forces that correlate to the suture's internal tension. HFS then provides vibration feedback to the operator as forces near a particular material's failure load. To validate the system, subjects tightened a total of four knots, two with the Haptic Feedback System (HFS) and two without feedback. The number of suture breakages were recorded and knot fidelity was evaluated by measuring knot slippage. Results showed that instances of suture failure were significantly reduced when HFS was enabled (p = 0.0078). Notably, knots tied with HFS also showed improved quality compared to those tied without feedback (p = 0.010). The results highlight the value of HFS in improving robotic procedure outcomes by reducing instances of suture failures, producing better knots, and reducing the need for corrective measures.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.