An Algorithm Creation by Automated Segmentation by MRI for Bone and Muscles of Shoulder
NCT ID: NCT05376813
Last Updated: 2025-03-19
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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WITHDRAWN
NA
INTERVENTIONAL
2023-08-31
2024-04-28
Brief Summary
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Detailed Description
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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.
Conditions
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Study Design
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NA
SINGLE_GROUP
OTHER
NONE
Study Groups
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Experimental arm
All participants are healthy volunteers
CT-Scan and MRI
CT-Scan and MRI examination for shoulder will be performed on healthy volunteers.
Interventions
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CT-Scan and MRI
CT-Scan and MRI examination for shoulder will be performed on healthy volunteers.
Eligibility Criteria
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Inclusion Criteria
* Affiliated to social security scheme.
Exclusion Criteria
* 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).
18 Years
ALL
Yes
Sponsors
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Assistance Publique - Hôpitaux de Paris
OTHER
Responsible Party
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Principal Investigators
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Jean-David Werthel, MD
Role: PRINCIPAL_INVESTIGATOR
Orthopaedics, Ambroise Paré hospital, APHP
Other Identifiers
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2022-A00301-42
Identifier Type: REGISTRY
Identifier Source: secondary_id
APHP220324
Identifier Type: -
Identifier Source: org_study_id
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