Laparoscopic Augmented Reality for Identification of Liver Lesions - a Pre-clinical Randomized Cross-over Trial (LARA)

August 14, 2022 updated by: Roger Wahba, MD, PhD, Universitätsklinikum Köln

Monocentric Prospective Randomized Study on the Influence of On-screen Use of a Virtual 3-dimensional Liver Model Reconstructed From CT Data on Spatial Perception During Laparoscopy on the Liver Phantom.

Procedure preparation and accurate knowledge of the specific anatomy is an integral part of performing minimally invasive procedures. Due to the complexity with high variability and the non-visibility of the vascular structures, the liver poses a particular challenge.

Therefore medical students and experienced surgeons will receive standardized, structured training on liver anatomy, the use of laparoscopic ultrasound and the application and use of CT data sets and the virtual 3D liver model. This training will be evaluated by questionnaires. Both groups then carry out a series of localization exercises on an artificial liver phantom: tumor imitations, which are displayed in the image(3D virtaul mdoel or 2D-CT-Data-Set), have to be found in the liver phantom laparoscopically using ultrasound.

In each round, different scenarios are worked on, once without and then with the support of the virtual 3D liver model. The virtual 3D model can be displayed directly on the laparoscopic monitor using a display software specially developed for the trial and can be manipulated by the subjects.

The aim of the study is to provide evidence that the availability and use of a virtual 3D model (augmented reality) leads to a significantly improved spatial perception of the subjects during laparoscopy of the liver. In addition, the subjectively perceived cognitive load of the subjects during the test run with and without the support of the virtual 3D model is surveyed and the learning success is evaluated.

Study Overview

Status

Not yet recruiting

Intervention / Treatment

Detailed Description

Procedure preparation and accurate knowledge of the specific anatomy is an integral part of performing a minimally invasive procedure. Due to the complexity with high variability and the non-visibility of the vascular structures due to the location in the parenchyma, the liver poses a particular challenge. The spatial perception and cognitive processing of the anatomical target structures is of particular importance.

The aim of this study is to test the hypothesis that the use of a 3-dimensional (3D) virtual liver model (virtual 3D model crating augmented reality) presenedt on teh laparoscopic screeen reconstructed from CT data exerts an influence on the spatial perception of subjects during laparoscopy on the liver phantom.

After informed consent and consent to the study, a pseudonymised subject population consisting of surgeons with experience in laparoscopy (n=36) and an equal number of medical students without experience in laparoscopy (n=36) will be included in the study included. The subjects will be randomized and divided into two groups of equal size, stratified according to experience in laparoscopy. The randomization is carried out by a data trustee. All subjects then receive standardized, structured training on liver anatomy, the use of laparoscopic ultrasound, and the application and use of CT data sets and the virtual 3D liver model. This is evaluated by means of a questionnaire. Both groups then sequentially carry out a defined series of localization exercises on an artificial liver phantom: tumor imitations, which are displayed in the image, have to be found in the liver phantom laparoscopically using ultrasound. In each round, different scenarios are worked on once without and then with the support of the virtual 3D liver model. The virtual 3D model can be displayed directly on the laparoscopic monitor using display software specially made for the study and can be manipulated by the subjects. The aim of the study is to provide evidence that the availability and use of a virtual 3D model leads to a significantly improved spatial perception of the subjects during laparoscopy of the liver. In addition, the subjectively perceived cognitive load of the subjects during the test run with and without the support of the virtual 3D model is surveyed by NASA Task Load Index and the learning success is evaluated.

The primary endpoints of the study are the number of correctly spatially identified target structures and the time required to localize the given target structures.

Study Type

Interventional

Enrollment (Anticipated)

72

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 Contact

Study Locations

      • Cologne, Germany, 50931
        • University of Cologne, Department of General, Visceral and Cancer Surgery

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

18 years and older (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • medical student of University of Cologne OR medical doctor in a surgical specialty
  • informed consent signed

Exclusion Criteria:

  • known and not correctable deficit of stereoscopic view
  • for medical students: experience with laparoscopy or laparoscopy simulators

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: CROSSOVER
  • Masking: SINGLE

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
EXPERIMENTAL: Method A
Subjects in this arm will perform the task on the liver phantom with Method A (2D-CT). Then they will do the NASA task load index questionnaire. After that they will perform the tasks with Method B (2D-CT + 3D augmented reality model). After that again a NASA Task load index questionnaire is performed
The subjects will perform tasks on the liver phantom (identification of target lesions). They will perform the tasks with Method A (2D-CT) or Method B (2D-CT + 3D augmented reality model). the intervention type Method A means that the trainings set up is performed first with Method A an after that with Method B.
EXPERIMENTAL: Method B
Subjects in this arm will perform the task on the liver phantom with method B (2D-CT + 3D augmented reality model). Then they will do the NASA task load index questionnaire. After that they will perform the tasks with Method A (2D-CT). After that again a NASA Task load index questionnaire is performed
The subjects will perform tasks on the liver phantom (identifikation of target lesions). They will perform the tasks with Method A (2D-CT) or Method B (2D-CT + 3D augmented reality model). the intervention type Method B means that the trainings set up is performed first with Method B an after that with Method A.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of correctly identified targets
Time Frame: immediately after tasks are performed, Day 1
The number of correctly spatially identified targets (tumors in the liver phantom)
immediately after tasks are performed, Day 1
Time required
Time Frame: immediately after tasks are performed, Day 1
The time required to localize the specified target structures (tumors in the live phantom)
immediately after tasks are performed, Day 1

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Task Load Index
Time Frame: immediately after tasks are performed, Day 1
The specific cognitive effort of the subject (measured using the NASA Task Load Index)
immediately after tasks are performed, Day 1
Modification of procedure planning
Time Frame: immediately after tasks are performed with both methods, Day 1
The modification of the initially prepared procedure planning when the virtual 3D model is available
immediately after tasks are performed with both methods, Day 1
Learning curve
Time Frame: immediately after tasks are performed with both methods, Day 1
Qualitative evaluation of the learning curve and success of the subjects
immediately after tasks are performed with both methods, Day 1

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Roger Wahba, MD, PHD, Universitatsklinikum Koln

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 (ANTICIPATED)

September 1, 2022

Primary Completion (ANTICIPATED)

December 1, 2023

Study Completion (ANTICIPATED)

March 1, 2024

Study Registration Dates

First Submitted

May 19, 2022

First Submitted That Met QC Criteria

May 19, 2022

First Posted (ACTUAL)

May 25, 2022

Study Record Updates

Last Update Posted (ACTUAL)

August 16, 2022

Last Update Submitted That Met QC Criteria

August 14, 2022

Last Verified

August 1, 2022

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

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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