The Effect of 3D Versus 2D Training Models in Laparoscopic Skills Acquisition: A Randomised Controlled Trial

December 14, 2023 updated by: Georgios Alampritis, Queen Mary University of London

The Effect of 3D Versus 2D Training Models in Laparoscopic Skills Acquisition: A Randomised Controlled Trial of Novice Medical Students

The goal of this trial is to compare the effect of using 3D (three-dimensional) versus 2D (two-dimensional) training models when novice medical students practise certain laparoscopic tasks. The main question our trial aims to answer is:

-Are the 3D training models used superior compared to the existing 2D LapPass training models for laparoscopic skills learning in novel medical students?

Participants will be assigned in one of the 2 groups and practise laparoscopic tasks in 2 separate sessions.

Study Overview

Detailed Description

There is ample evidence supporting the use of low-fidelity surgical simulators, often referred to as benchtop models, for fundamental laparoscopic skills acquisition using both basic and advanced tasks. The purpose of using low-fidelity training models is mainly skills acquisition rather than recreation of in situ anatomy. Benchtop models have the potential to be low-cost compared to other high-fidelity simulators, whilst enhancing transferability of those vital skills to the operative room. It has been demonstrated in the literature that the use of the 3D visual modality in laparoscopy is associated with an improved depth perception providing an enhanced visuo-spatial context and performance in the surgical or simulation setting, facilitating the execution of complex laparoscopic tasks. The use of this technology is often associated with certain limitations of adaptability to personnel, practicalities and financial considerations of its introduction to the everyday teaching curriculum of novice individuals. Hence, there is potential of following a differential approach by utilising low-fidelity 3D training models of varying depth, height and width to expedite training and skill acquisition using the 2D visual modality, which is most commonly used both in the simulation and operative settings.

Monocular cues are important to compensate for lack of depth perception in 2D vision. These include motion parallax through movement of the laparoscope, shading of light and dark, texture grading, relative position and instrument and anatomic structure size. Depth perception can be improved through experience as processing of monocular cues is enhanced and adaptation, which is a learning process, ultimately results to improved performance. Experienced surgeons have mastered the skill of identifying indirect monocular cues and gain depth perception by utilising them, resulting to accurate and efficient movements.

The training models used in LapPass for training and assessment purposes are relatively flat, 2D models. In the current model for the polo manipulation and grasping task, all the posts are on the same height and mounted on a flat surface, thus lacking contours and depth. This is the first exercise performed and heavily practised by novices to develop the fundamental laparoscopic skills of depth perception, hand-eye coordination and bimanual dexterity, which are vital for smooth progression to the other tasks. The laparoscopic suturing and intracorporeal knot tying task, similarly, introduces a 2-dimensional training model for suturing and approximation of circles on a flat suturing pad without variable contours. The adoption of 2D training models could act as a limiting factor in technical skills acquisition and ultimately prolong the training time to achieve a higher level of expertise. Achieving proficiency in basic laparoscopic skills can result in faster acquisition of more complex laparoscopic skills such as suturing and ultimately results to a more cost-effective training. By converting the tasks to the 3-dimensions using low-fidelity 3D training models with varying heights, widths and depths, the simulation of a more realistic surgical environment could be achieved and bridge a potential technical laparoscopic skills gap created by training on flat models compared to three-dimensional landmarks.

In our study, the polo task will be converted using a 3D polo model developed in our institution, which demonstrated face and construct validity to differentiate between various levels of expertise. The model was initially developed for the FLS program's simpler peg transfer task and the equipment will be adjusted to simulate the LapPass polo grasping and manipulation task, a more technically demanding task. In addition, the suturing task will be converted using a 3D suturing model by Inovus Medical (Saint Helens, England, UK) attached on a platform providing limited stability to the model, which simulates sufficiently complexities in surgical practise. The use of a 3D suturing model with varying contours has been demonstrated to be an effective simulation teaching tool for the advanced task of laparoscopic suturing.

Literature describing a direct comparison between 3D and 2D training models of LapPass basic and advanced laparoscopic tasks is absent, despite the potential of fast-tracking laparoscopic skills acquisition in novices. We postulate that the use of 3D training models at the onset of laparoscopic skills training of novices could accelerate the adaptation to indirect cues related to depth perception, as well as other core skills of laparoscopic skills training, enhancing performance. The aim of this study is to determine if laparoscopic technical skills acquisition will be superior with the use of 3D training models in novice medical students when compared to the current 2D LapPass training models in 2 separate laparoscopic tasks.

PICOS criteria

  • Population = Novice medical students from Year 1-5 including intercalating students
  • Intervention = 3D training models for polo manipulation and suturing tasks
  • Comparator = 2D LapPass training models for polo manipulation and suturing tasks
  • Outcomes = Laparoscopic skill acquisition (GOALS score, Task completion time, Errors, Survey data)
  • Setting = Simulation lab in Barts Cancer Institute

Study Type

Interventional

Enrollment (Actual)

62

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • London, United Kingdom, EC1M 6BE
        • Barts Cancer Institute, Queen Mary University of London

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • (1) Medical students from Year 1 to Year 5 including intercalating students
  • (2) Novices in laparoscopic surgery defined as having no formal laparoscopic skills training beyond camera navigation

Exclusion Criteria:

  • (1) Undertaken at least one session of laparoscopic skills training
  • (2) Uncommitted to the completion of the study

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: 2D LapPass Training Models
Participants in the 2D group practised laparoscopic skills using the 2D LapPass training models for polo manipulation and intracorporeal suturing
2D LapPass polo model for task 1 and 2D LapPass model for task 2
Experimental: 3D Training Models
Participants in 3D group practised laparoscopic skills using the 3D training models for polo manipulation and intracorporeal suturing
3D Jenga polo model for task 1 and 3D suturing model for task 2

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
GOALS score ranging from 5 to 25
Time Frame: Baseline assessment after 20 minutes of task and equipment familiarisation (A1), Interim assessment at 1-hour of training and Post-training assessment at 2-hours of training (A3)
The GOALS tool serves as a valid and reliable technique- specific method to assess the technical performance of novice medical students, with extensive evidence in the literature. GOALS tool is comprised of 5 domains: (1) depth perception, (2) bimanual dexterity, (3) efficiency, (4) tissue handling and (5) autonomy scored with a 5-points scale for each domain according to the level of technical skills demonstrated with the total score ranging from 5-25.
Baseline assessment after 20 minutes of task and equipment familiarisation (A1), Interim assessment at 1-hour of training and Post-training assessment at 2-hours of training (A3)
Task completion time in minutes
Time Frame: Baseline assessment after 20 minutes of task and equipment familiarisation (A1), Interim assessment at 1-hour of training and Post-training assessment at 2-hours of training (A3)
Completion time is defined as 'time to task completion with start time being the moment instruments are in view on the monitor and end time being the moment the task is completed with instruments removed or reaching the time limit of 10 minutes''.
Baseline assessment after 20 minutes of task and equipment familiarisation (A1), Interim assessment at 1-hour of training and Post-training assessment at 2-hours of training (A3)
Number of Erros
Time Frame: Baseline assessment after 20 minutes of task and equipment familiarisation (A1), Interim assessment at 1-hour of training and Post-training assessment at 2-hours of training (A3)
Errors for the polo task are defined as '' dropping a polo'' and intracorporeal suturing task as ''poor approximation, insecure knot, incomplete knot or slipping knot''
Baseline assessment after 20 minutes of task and equipment familiarisation (A1), Interim assessment at 1-hour of training and Post-training assessment at 2-hours of training (A3)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Post-study survey questions on participant perceived pre- and post-training confidence and overall performance with a Likert scale of 1-5
Time Frame: Immediately after study completion (average 1 week from enrolment)
The secondary outcome measure includes post-study survey questions to measure the effect of training on 2D versus 3D training models on participant-perceived performance and confidence
Immediately after study completion (average 1 week from enrolment)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Georgios Alampritis, Queen Mary University of London

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

May 18, 2022

Primary Completion (Actual)

June 30, 2022

Study Completion (Actual)

June 30, 2022

Study Registration Dates

First Submitted

December 7, 2023

First Submitted That Met QC Criteria

December 14, 2023

First Posted (Actual)

December 28, 2023

Study Record Updates

Last Update Posted (Actual)

December 28, 2023

Last Update Submitted That Met QC Criteria

December 14, 2023

Last Verified

December 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

Study Protocol, Informed Consent, Surveys and Study Report

IPD Sharing Time Frame

Anonymised participant data will be retained for a period of at least 10 years from the date of any publication which is based upon it, as specified in the QMUL Records Retention schedule. After this period all data will be destroyed.

IPD Sharing Access Criteria

On request

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • ICF
  • CSR

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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