Background: Simulation is an innovative tool for developing complex skills required for surgical training. The objective of this study was to determine the advancement of laparoscopic and robotic skills through simulation in participants with limited or no previous experience.

Methods: This is a systematic review and meta-analysis of randomized controlled trials (RCTs) in keeping with the Preferred Reporting Items for Systematic Reviews and Meta-analysis guidelines. We conducted searches using MEDLINE (PubMed), Web of Science, Google Scholar, and Cochrane Library. Variables analyzed were study characteristics, participant demographics, and characteristics of the learning program. Our main measures were effectiveness, surgical time, and errors. These were reported using standardized mean difference (SMD) with 95% CI (P < .05). Secondary measures included skill transfer and learning curve.

Results: A total of 17 RCTs were included and comprised 619 participants: 354 participants (57%) were in the simulation group and 265 (43%) in the control group. Results indicated that laparoscopic simulation effectively enhanced surgical skills (SMD, 0.59 [0.18-1]; P = .004) and was significantly associated with shorter surgical duration (SMD, -1.08 [-1.57 to -0.59]; P < .0001) and a fewer errors made (SMD, -1.91 [-3.13 to -0.70]; P = .002). In the robotic simulation, there was no difference in effectiveness (SMD, 0.17 [-0.19 to 0.52]; P = .36) or surgical time (SMD, 0.27 [-0.86 to 1.39]; P = .64). Furthermore, skills were found to be transferable from simulation to a real-life operating room (P < .05).

Conclusion: Simulation is an effective tool for optimizing laparoscopic skills, even in participants with limited or no previous experience. This approach not only contributes to the reduction of surgical time and errors but also facilitates the transfer of skills to the surgical environment. In contrast, robotic simulation fails to maximize skill development, requiring previous experience in laparoscopy to achieve optimal levels of effectiveness.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.gassur.2024.01.027DOI Listing

Publication Analysis

Top Keywords

laparoscopic robotic
8
robotic skills
8
skills simulation
8
simulation participants
8
participants limited
8
systematic review
8
review meta-analysis
8
optimizing laparoscopic
4
limited prior
4
prior experience
4

Similar Publications

This study evaluated the impact of aspirin on the biochemical recurrence (BCR) rate following robot-assisted radical prostatectomy (RARP) in patients. A database search identified patients who underwent RARP for pT2-3N0M0 disease at any of 25 centers between 2011 and 2022, categorized into aspirin (n = 350) and control groups (n = 5857). Adjustment by 1:1 propensity score matching (PSM) and Mahalanobis distance matching (MDM) created 350 matched pairs.

View Article and Find Full Text PDF

Deep Learning for Predicting Difficulty in Radical Prostatectomy: A Novel Evaluation Scheme.

Urology

January 2025

Department of Urology, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China; Institute of Urologic Disease, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China. Electronic address:

Objectives: To explore new metrics for assessing radical prostatectomy difficulty through a two-stage deep learning method from preoperative magnetic resonance imaging.

Methods: The procedure and metrics were validated through 290 patients consisting of laparoscopic and robot-assisted radical prostatectomy procedures from two real cohorts. The nnUNet_v2 adaptive model was trained to perform accurate segmentation of the prostate and pelvis.

View Article and Find Full Text PDF

Robotic approach is slowly rising in metabolic surgery, and laparoscopy is still considered the gold standard for Sleeve Gastrectomy. Aim of our study was to assess and compare outcomes of RSG through a matched comparison with LSG. Retrospective search of prospectively maintained database of our surgical department was carried out find all consecutive patients who underwent RSG from April 2023 to August 2024.

View Article and Find Full Text PDF

Indocyanine green dyed gauze-guided minimum invasive surgery for anatomical landmarks and preventing gauze remnants: a pilot study.

Langenbecks Arch Surg

January 2025

Department of Chemical Science & Engineering, School of Materials and Chemical Technology, Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, Tokyo, 152-8552, Japan.

Purpose: We aimed to develop a novel fluorescent surgical gauze dyed with indocyanine green (ICG) to guide surgeons to the target anatomical destination during surgery for real-time navigation and to prevent gauze remnants after surgery.

Methods: Surgical gauze was dyed with an aqueous solution of ICG (5.0 × 10 mol L for Steraze, 1.

View Article and Find Full Text PDF

This systematic review explores machine learning (ML) applications in surgical motion analysis using non-optical motion tracking systems (NOMTS), alone or with optical methods. It investigates objectives, experimental designs, model effectiveness, and future research directions. From 3632 records, 84 studies were included, with Artificial Neural Networks (38%) and Support Vector Machines (11%) being the most common ML models.

View Article and Find Full Text PDF

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!