- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05376813
An Algorithm Creation by Automated Segmentation by MRI for Bone and Muscles of Shoulder (SEGMENTATION)
Elaboration of an Algorithm of Automated Segmentation by Magnetic Resonance Imaging for Bone and Muscles of Shoulder
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
This is a national monocentric study which will be conducted in Ambroise Paré hospital of APHP, in orthopaedics department (for enrollment) and radiological department (for CT-scan and MRI examinations) respectively.
Manual segmentations of 5 muscles and 2 bones of shoulder by MRI with automated segmentation of shoulders corresponding to CT-scan imagings.
3D imagings of each shoulder by manual segmentations from MRI and automated segmentation from computed tomography will provide to build a network.
The perspective of the elaborated algorithm should lead to an automated 3D-reconstruction of patients' shoulder as a routine care in surgery.
Study Type
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Boulogne-Billancourt, France, 92100
- Recruiting
- Orthopaedics, Ambroise Paré hospital, APHP
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Healthy volunteer > 18 years, presenting any symptom nor history of shoulder pathology;
- Affiliated to social security scheme.
Exclusion Criteria:
- Symptoms or history of shoulder pathologies;
- Claustrophobia;
- Pregnant woman;
- Patient covered by AME system;
- Contre-indication to perform MRI examination (implant, less 6-months stent implantation, recent surgery, renal insufficiency, pace maker implantation, cardiac defibrillator, cardiovascular catheter, neurostimulation, implantable electronic pompe for automatic injection of medications).
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Experimental arm
All participants are healthy volunteers
|
CT-Scan and MRI examination for shoulder will be performed on healthy volunteers.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Algorithm developement
Time Frame: through study completion, an average of 8 month
|
The developement for automatic segmentation algorithm: uses method with a convolutional neural networks (convolutional neural network - CNN).
|
through study completion, an average of 8 month
|
Collaborators and Investigators
Investigators
- Principal Investigator: Jean-David Werthel, MD, Orthopaedics, Ambroise Paré hospital, APHP
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- APHP220324
- 2022-A00301-42 (Registry Identifier: IDRCB)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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