Evidence map›Paper›PMID 39738905›Full record

ArticleSurgical endoscopy2025

Novel force feedback technology improves suturing in robotic-assisted surgery: a pre-clinical study.

Elliot L Servais, Laila Rashidi, Priyanshi Porwal, Mark Garibaldi, Andrew J Hung

Erratum issuedAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Safety of Continuous Force Feedback in Robotic Hysterectomy and Myomectomy.JSLS : Journal of the Society of Laparoendoscopic Surgeons
    Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Elliot L ServaisLahey Hospital and Medical Center, UMass Chan Medical School, Burlington, MA, USA.
Laila RashidiMultiCare Health System, Seattle, WA, USA.
Priyanshi PorwalIntuitive Surgical, Sunnyvale, CA, USA.
Mark GaribaldiIntuitive Surgical, Sunnyvale, CA, USA.
Andrew J HungCedars-Sinai Medical Center, Los Angeles, CA, USA. andrew.hung@cshs.org.ORCID 0000-0002-7201-6736

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Clinical CompetenceRobotic Surgical ProceduresSuture TechniquesAnastomosis, SurgicalAnimalsAortaHumansSwineUrinary BladderForce feedbackSurgical trainingSuturing

Identifiers

PMID39738905
PMCPMC11794644

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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.