A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

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

Introduction: 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.

Methods: 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).

Conclusion: 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.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00464-024-11472-9DOI Listing

Publication Analysis

Top Keywords

novel force
8
force feedback
8
robotic-assisted surgery
8
pre-clinical study
8
novice surgeons
8
feedback technology
4
technology improves
4
improves suturing
4
suturing robotic-assisted
4
surgery pre-clinical
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!