ArticleSurgical endoscopy2025
Novel force feedback technology improves suturing in robotic-assisted surgery: a pre-clinical study.
Article in Surgical endoscopy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers, 2 of them syntheses that pooled it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Minimally invasive repair of iatrogenic bile duct injuries: a systematic review and meta-analysis.Surgical endoscopy · 2026Pooled it
- Robotics in facial plastic surgery: a systematic review and meta-analysis of the latest trends and innovations.Journal of robotic surgery · 2026Pooled it
- Motor learning with force feedback instruments among laparoscopic surgeons and residents.Journal of robotic surgery · 2026Article
- Force sensing and haptic feedback in robotic surgery: a bibliometric and knowledge-mapping analysis of technological evolution and translational trajectories.Journal of robotic surgery · 2026Review
- Are the "visual haptics" conferred via robotics non-inferior to actual haptics?Surgical endoscopy · 2026Article
- Feasibility of intraoperative force quantification during robotic paraesophageal hernia repair: a prospective case series using integrated force-sensing technology.Frontiers in surgery · 2026Article
- Effectiveness of haptic feedback during local and remote robotic surgery: single-blind cadaveric study.Journal of robotic surgery · 2025Article
- Safety of Continuous Force Feedback in Robotic Hysterectomy and Myomectomy.JSLS : Journal of the Society of Laparoendoscopic SurgeonsObservational
Corrections and comments
- Erratum issued
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe inability to sense force applied to tissue is suggested as a limitation to robotic-assisted surgery (RAS). This pre-clinical study evaluated the impact of a novel force feedback (FFB) technology, integrated on a next-generation robotic system that allows surgeons to sense forces exerted at the instrument tips, on suturing performance by novice surgeons during RAS.
methodsTwenty-nine novice surgeons (< 50 RAS cases in the last 5 years) were randomized into two groups with (n = 15) or without (n = 14) FFB sensing. Participants performed interrupted stitches on ex vivo porcine bladder and running stitches on porcine aorta (Fig. 1A) over four runs. Average forces applied, number of errors, time for exercise completion, and Robotic Anastomosis Competence Evaluation (RACE) technical skill ratings were compared using a three-way mixed-model ANOVA and applicable post hoc tests. Fig. 1 A View from surgeon console of participant performing suturing tasks using Kotobuki dry model (Exercise 1 to 3), Foam dry model (Exercise 4 and 5), Urinary Bladder ex vivo tissue (Exercise 6), and Aorta ex vivo tissue (Exercise 7). B Description of 7 suturing exercises and anatomical models used for each exercise
resultsFFB sensing significantly lowered the mean force applied (bladder, 1.71 N vs 2.40 N, p < 0.006; aorta, 1.80 N vs 2.53 N, p < 0.006), average number of errors (bladder, 0.59 vs 1.76, p < 0.001; aorta, 0.38 vs 1.14, p < 0.001), and the time to completion (bladder, 659 s vs 781 s, p = 0.002; aorta, 460 s vs 570 s, p = 0.001) (Fig. 1C). The FFB group applied less tissue trauma with a higher RACE skill score (3.75 vs 3.03, p = 0.012).
conclusionThis study showed that novice surgeons using FFB-enabled instruments completed suturing tasks using less force, with fewer errors, taking less time, and less tissue trauma during RAS. Future studies are required to better understand the impact of FFB technology on surgical performance and potential patient benefits.
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