NCT06044909

Brief Summary

Multimodal intraoperative minimal-invasive (laparoscopic or robotic) liver surgery images will be registered to each other. Explicitly, these are the ultrasound and laparoscope images. Once they are registered, they will reveal the hidden tumor's location to the surgeon in real time through augmented reality. The intraoperative augmentation will also be enriched with the preoperative data (e.g., CT or MRI). This will simplify minimal invasive liver surgery, improve surgical safety and accuracy. It will also shorten hospital stays and contribute to an overall better quality of life for the patient, which in return will reduce the health-care costs.

Trial Health

57
Monitor

Trial Health Score

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

Trial has exceeded expected completion date
Enrollment
40

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started Sep 2023

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

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

September 13, 2023

Completed
2 days until next milestone

Study Start

First participant enrolled

September 15, 2023

Completed
6 days until next milestone

First Posted

Study publicly available on registry

September 21, 2023

Completed
2.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

January 1, 2026

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

January 1, 2026

Completed
Last Updated

September 20, 2024

Status Verified

September 1, 2024

Enrollment Period

2.3 years

First QC Date

September 13, 2023

Last Update Submit

September 19, 2024

Conditions

Keywords

Intraoperativepreoperativemultimodal dataregistrationlaparoscopyhepatectomyaugmented reality

Outcome Measures

Primary Outcomes (1)

  • Analysis accuracy of the augmented reality by aligned with the intraoperative measurements

    The accuracy of the augmented reality will be assessed based on how well the preoperative data will be aligned with the intraoperative measurements. In order to assess the accuracy, measurements of multiple distances between the center of mass (mean position) of different internal structures (tumors, anatomical vascular networks, anatomical landmarks) visible both in the preoperative imaging and in the intraoperative imaging will be used.

    28 months

Study Arms (1)

Patients undergoing minimally invasive hepatectomy by conventional or robot-assisted laparoscopy

Patients undergoing minimally invasive hepatectomy by conventional or robot-assisted laparoscopy will be included.

Procedure: Minimal invasive hepatectomy, intraoperative stageProcedure: Minimal invasive hepatectomy, postoperative stageOther: Preoperative data collectionOther: Intraoperative data collectionOther: Postoperative data collection

Interventions

Trocar layout is recorded by photo or diagram. The video of conventional or robot-assisted laparoscopy and intraoperative laparoscopic ultrasound images (where applicable) are recorded by the surgeon and anonymized. Depth measurements of internal structures (tumors, cysts, vascular network, anatomical landmarks) are taken using identifiable points on the surface of the liver for tumour resection.

Patients undergoing minimally invasive hepatectomy by conventional or robot-assisted laparoscopy

The registration of imaging data in conventional or robot-assisted laparoscopy is performed by the scientific team using the developed registration algorithm. The data obtained from the clinical intervention will help improve the registration algorithm.

Patients undergoing minimally invasive hepatectomy by conventional or robot-assisted laparoscopy

Patient code (anonymised) + inclusion number, repeated on each page. Anonymised CT or MRI scan and date of scan. Type of cancer, planned surgery and approach (robotic or laparoscopic). Patient's age. Patient's surgical history. Toxic habits: tobacco, alcohol. Healthy liver, liver disease, cirrhosis. Anticoagulant and antiaggregant treatment.

Patients undergoing minimally invasive hepatectomy by conventional or robot-assisted laparoscopy

Endoscope calibration. Intraoperative surgical and ultrasound images. Measurements for tumor's size and tumor's distances from liver surface and vascular vascular structures.

Patients undergoing minimally invasive hepatectomy by conventional or robot-assisted laparoscopy

Definitive anatomical pathology with the measurement of resection margins.

Patients undergoing minimally invasive hepatectomy by conventional or robot-assisted laparoscopy

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients undergoing minimally invasive hepatectomy by conventional or robot-assisted laparoscopy

You may qualify if:

  • Patients undergoing hepatectomy;
  • Patients for whom good-quality imaging is available (CT scan and/or MRI and/or ultrasound);
  • Patients over 18 years of age;
  • Minimally invasive surgery by conventional or robot-assisted laparoscopy.

You may not qualify if:

  • Surgery by laparotomy

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

CHU Saint Etienne

Saint-Etienne, 42000, France

RECRUITING

Study Officials

  • Bertrand LE ROY, MD PhD

    CHU SAINT-ETIENNE

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Bertrand LE ROY, MD PhD

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

September 13, 2023

First Posted

September 21, 2023

Study Start

September 15, 2023

Primary Completion

January 1, 2026

Study Completion

January 1, 2026

Last Updated

September 20, 2024

Record last verified: 2024-09

Data Sharing

IPD Sharing
Will not share

Locations