- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06044909
Multimodal Image Registration for Helping Laparoscopic Liver Surgery Guidance (IMMORTALLS)
September 27, 2023 updated by: Centre Hospitalier Universitaire de Saint Etienne
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.
Study Overview
Status
Recruiting
Conditions
Study Type
Observational
Enrollment (Estimated)
40
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
- Name: Bertrand LE ROY, MD PhD
- Phone Number: +33 (0)477120508
- Email: bertrand.leroy@chu-st-etienne.fr
Study Locations
-
-
-
Saint-Étienne, France, 42000
- Recruiting
- Chu Saint Etienne
-
Contact:
- Bertrand LE ROY, MD PhD
- Phone Number: +33 (0)477120508
- Email: bertrand.leroy@chu-st-etienne.fr
-
-
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
No
Sampling Method
Non-Probability Sample
Study Population
Patients undergoing minimally invasive hepatectomy by conventional or robot-assisted laparoscopy
Description
Inclusion Criteria:
- 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.
Exclusion Criteria:
- Surgery by laparotomy
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
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
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.
|
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.
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.
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.
Endoscope calibration.
Intraoperative surgical and ultrasound images.
Measurements for tumor's size and tumor's distances from liver surface and vascular vascular structures.
Definitive anatomical pathology with the measurement of resection margins.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Analysis accuracy of the augmented reality by aligned with the intraoperative measurements
Time Frame: 28 months
|
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
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Principal Investigator: Bertrand LE ROY, MD PhD, Chu Saint Etienne
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)
September 15, 2023
Primary Completion (Estimated)
January 1, 2026
Study Completion (Estimated)
January 1, 2026
Study Registration Dates
First Submitted
September 13, 2023
First Submitted That Met QC Criteria
September 13, 2023
First Posted (Actual)
September 21, 2023
Study Record Updates
Last Update Posted (Actual)
September 28, 2023
Last Update Submitted That Met QC Criteria
September 27, 2023
Last Verified
July 1, 2023
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- IRBN952023/CHUSTE
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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