Servais Elliot L, Rashidi Laila, Porwal Priyanshi, Garibaldi Mark, Hung Andrew J
Lahey Hospital and Medical Center, UMass Chan Medical School, Burlington, MA, USA.
MultiCare Health System, Seattle, WA, USA.
Surg Endosc. 2025 Feb;39(2):1217-1226. doi: 10.1007/s00464-024-11472-9. Epub 2024 Dec 30.
The 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.
Twenty-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 RESULTS: FFB 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).
This 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.
无法感知施加于组织的力被认为是机器人辅助手术(RAS)的一个局限性。这项临床前研究评估了一种新型力反馈(FFB)技术的影响,该技术集成在一个下一代机器人系统上,使外科医生能够感知器械尖端施加的力,对新手外科医生在RAS期间的缝合性能的影响。
29名新手外科医生(过去5年中RAS手术病例数<50例)被随机分为两组,一组(n = 15)使用FFB传感,另一组(n = 14)不使用FFB传感。参与者在四次操作中对离体猪膀胱进行间断缝合,并对猪主动脉进行连续缝合(图1A)。使用三因素混合模型方差分析和适用的事后检验比较施加的平均力、错误数量、运动完成时间和机器人吻合能力评估(RACE)技术技能评分。图1A参与者使用寿屋干式模型(练习1至3)、泡沫干式模型(练习4和5)、离体膀胱组织(练习6)和离体主动脉组织(练习7)进行缝合任务时从外科医生控制台看到的视图。B 7种缝合练习的描述以及每种练习使用的解剖模型 结果:FFB传感显著降低了平均施加力(膀胱,1.71 N对2.40 N,p < 0.006;主动脉,1.80 N对2.53 N,p < 0.006)、平均错误数量(膀胱,0.59对1.76,p < 0.001;主动脉,0.38对1.14,p < 0.001)和完成时间(膀胱,659秒对781秒,p = 0.002;主动脉,460秒对570秒,p = 0.001)(图1C)。FFB组施加的组织创伤较小,RACE技能评分较高(3.75对3.03,p = 0.012)。
这项研究表明,在RAS期间,使用具有FFB功能器械的新手外科医生以较小的力、较少的错误、较短的时间完成缝合任务,且组织创伤较小。需要进一步的研究来更好地理解FFB技术对手术性能的影响以及对患者的潜在益处。