Background: Motorized articulating laparoscopic instruments (ALI) offer more degrees of freedom than conventional laparoscopic instruments (CLI). However, a difficult learning curve and complex instrument handling are still a problem of ALI. We compared the performance of new prototypes of motorized ALI with CLI in a series of standardized laparoscopic tasks performed by laparoscopic novices. Further, usability of the new ALI was assessed.
Methods: A randomized cross-over study with 50 laparoscopic novices who either started with CLI and then changed to ALI (CA) or vice versa (AC) was conducted. All participants performed the European training in basic laparoscopic urological skills (E-BLUS) with each instrument in given order. Time and errors were measured for each exercise. Instrument usability was assessed.
Results: Overall, using CLI was significantly faster (CLI 4:27 min vs. ALI 4:50 min; p-value 0.005) and associated with fewer exercise failures in needle guidance (CLI 0 vs. ALI 12; p-value 0.0005) than ALI. Median amount of errors was similar for both instruments. Instrument sequence did not matter, as CA and AC showed comparable completion times. Regarding the learning effect, participants were significantly faster in the second attempt of exercises than in the first. In the needle guidance task, participants using CLI last demonstrated a significant speed improvement, whereas ALI were significantly slower in the second run. Regarding usability, CLI were preferred over ALI due to lighter weight and easier handling. Nevertheless, participants valued ALI's additional degrees of freedom.
Conclusion: Using new motorized ALI in the E-BLUS examination by laparoscopic novices led to a worse performance compared to CLI. An explanation could be that participants felt overwhelmed by ALI and that ALI have an own distinct learning curve. As participants valued ALI's additional degrees of freedom, however, a future application of ALI could be for training purposes, ideally in combination with CLI.
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http://dx.doi.org/10.1007/s00464-020-08086-2 | DOI Listing |
Improved surgical skill is generally associated with improved patient outcomes, although assessment is subjective, labour intensive, and requires domain-specific expertise. Automated data-driven metrics can alleviate these difficulties, as demonstrated by existing machine learning instrument tracking models. However, these models are tested on limited datasets of laparoscopic surgery, with a focus on isolated tasks and robotic surgery.
View Article and Find Full Text PDFCureus
December 2024
Department of Surgical Science, Barts Cancer Institute, Queen Mary University of London, London, GBR.
Laparoscopic surgery has now become the gold standard in managing most surgical cases. Despite its advantages, working hours and in-theatre training restrictions have prompted trainees to explore alternatives like virtual reality (VR) simulations and box training. Furthermore, given the increased frequency of minimally invasive surgery and the prevalence of musculoskeletal issues among surgeons, there's a growing effort to optimize ergonomics.
View Article and Find Full Text PDFVet Surg
December 2024
Department of Veterinary Clinical Sciences, Washington State University, Pullman, Washington, USA.
Objective: To compare novices' performance on simulated laparoscopic tasks with a box trainer and virtual reality (VR) trainer before and after training on one system, and to compare performance between groups following training.
Study Design: Randomized, prospective study.
Sample Population: Twelve veterinary students without prior hands-on laparoscopic experience were randomly assigned to the box or VR training group.
Asian J Endosc Surg
December 2024
Department of Surgery, Tosei General Hospital, Seto City, Aichi Prefecture, Japan.
Introduction: Robot-assisted transabdominal preperitoneal inguinal hernia repair (RTAPP) has been rapidly gaining popularity. However, RTAPP is currently limited to university hospitals and large medical centers and is performed mainly by experts in robotic surgery in Japan. In this study, we report the introduction of RTAPP at a municipal hospital by a robotic surgery novice and its short-term outcomes.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Scientific Direction, Jesús Usón Minimally Invasive Surgery Centre, ES-10071 Cáceres, Spain.
Background: This study aims to continue research on the objective analysis of ergonomic conditions in robotic-assisted surgery (RAS), seeking innovative solutions for the analysis and prevention of ergonomic problems in surgical practice.
Methods: Four different robotic-assisted tasks were performed by groups of surgeons with different surgical experiences. Different wearable technologies were used to record surgeons' posture and muscle activity during surgical practice, for which the correlation between them was analyzed.
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