NCT05037383

Brief Summary

During minimally invasive surgery (MIS), surgeons manipulate sharp and stiff instruments in the vicinity of fragile tissue, blood vessels, and critical nerves, where poor depth perception can have dramatic consequences. Since typically, 2-dimensional visualization is offered, to correctly infer the 3rd dimension, surgeons rely on their anatomical knowledge and experience. During unforeseen events, correct depth information can make the difference between success and failure. This explains the steep and long learning curve for surgeons. The absence of proper depth information slows down execution and leads to an unnecessary large mental load. A recent document from the European Association of Endoscopic Surgery showed that 3D shortens operative time and learning curves and reduces complications. 'What the best way is to visualize 3D content' remains an open question. Near-to-eye displays provide small screens in front of each eye, while stereoscopic displays use glasses to project the 3D content to the eyes. The Da Vinci surgical system uses two individual optical panels. These systems are bulky, or restrict head movement, thus users have remarks on the ergonomics. The glasses for stereoscopic displays obscure the view, reduce brightness, and alter the color. Correct color is crucial to recognize tissue types and details or parts in shaded areas. Stereoscopic 3D displays lead to headache and eye-fatigue, called visually induced motion sickness in 11-22% of surgeons after several surgeries. Autostereoscopic Visualization (ASV) is appealing for medical applications. Besides the improvement of depth perception, it allows 'glasses-free' operation. One of the key components of such displays is eye-tracking, that locates the eyes of the user to be able to render the 3D image to that viewpoint. ASV is a single-viewer application, which can be challenging in an operating room, with multiple people present. Therefore, a rigorous investigation is needed to maximize the performance of the algorithm and ensure the quality of service needed for medical use. It is crucial to collect data from real scenarios by recording the operation, the pose, motion of surgeons and the entire staff. These recordings will deliver solid understanding of the circumstances and rate of occurrences where eye-tracking and 3D visualization fails (or could fail). Furthermore, patterns can be recognized that could help to develop a robust eye-tracking algorithm and safety features for ASV.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
20

participants targeted

Target at below P25 for not_applicable

Timeline
Completed

Started Sep 2021

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

August 9, 2021

Completed
1 month until next milestone

First Posted

Study publicly available on registry

September 8, 2021

Completed
19 days until next milestone

Study Start

First participant enrolled

September 27, 2021

Completed
9 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 19, 2022

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

June 19, 2022

Completed
Last Updated

November 3, 2022

Status Verified

November 1, 2022

Enrollment Period

9 months

First QC Date

August 9, 2021

Last Update Submit

November 2, 2022

Conditions

Keywords

Minimally invasive surgery3D visualizationMotion analysis

Outcome Measures

Primary Outcomes (4)

  • Average number of people present in the operating room

    Number of people in the field of view of each camera at the same time. Visual assessment based on the recorded videos will be made.

    Duration of surgery

  • Size and shape of the workspace (the space that is traveled) of the tracked people.

    Size of the workspace described in \[mm\] in x,y,z coordinates with respect to the cameras. This include average position and standard deviation in all three directions. The people being tracked are the surgeon, first assistant and the nurse handling the instrument. Tracking is done by placing visual markers on the head cap of the people that is being recorded by the cameras.

    Duration of surgery

  • Distance of people from displays

    Distance of tracked people from the display they use in \[mm\]. Similarly as to workspace calculation, the distance will be calculated by means of video-based tracking of the people, using visual markers.

    Duration of surgery

  • Direction of gaze of the tracked people

    Direction of gaze, i.e. direction where the person is looking, estimated based on head orientation. Head orientation is determined by using visual markers. Each visual marker has its own coordinate frame, from which the z axis determines where the marker is pointing. Since these will be placed on the head cap of the staff, the z axis of the marker will determine the direction of head orientation. Direction of gaze will be determined using a 3D vector \[x y z\] with origin of head position at each timestep.

    Duration of surgery

Secondary Outcomes (2)

  • Movement of the display: Size and shape of the workspace of the displays.

    Duration of the surgery

  • Illumination levels throughout the intervention.

    Duration of the surgery

Study Arms (1)

Study group

OTHER

Each participant will be part of the same group, since the study is focusing on the motion and viewing of the operating staff. There are no patient records collected.

Other: Video recordings

Interventions

The surgery of the patient will be recorded by cameras placed on the top of the displays used by the operating staff. The recordings will be only carried out while the patient is draped for the surgery, thus completely covered.

Study group

Eligibility Criteria

Age18 Years+
Sexfemale
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Patients undergoing either sacrocolpopexy or hysterectomy or cesarean scar defect repair
  • For each operation to be eligible for the study, voluntary informed consent is required from all staff members involved

You may not qualify if:

  • Not given informed consent by patient or any of the staff member involved in the operation

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

UZ Leuven

Leuven, 3000, Belgium

Location

MeSH Terms

Interventions

Videotape Recording

Intervention Hierarchy (Ancestors)

Tape RecordingAudiovisual AidsEducational TechnologyTechnologyTechnology, Industry, and AgricultureTelevision

Study Officials

  • Jan Deprest, PhD

    Universitaire Ziekenhuizen KU Leuven

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
OTHER
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
SPONSOR INVESTIGATOR
PI Title
Clinical professor

Study Record Dates

First Submitted

August 9, 2021

First Posted

September 8, 2021

Study Start

September 27, 2021

Primary Completion

June 19, 2022

Study Completion

June 19, 2022

Last Updated

November 3, 2022

Record last verified: 2022-11

Data Sharing

IPD Sharing
Will not share

Locations