An interventional study of CT-Scan and MRI in Reverse Shoulder Prosthesis, sponsored by Assistance Publique - Hôpitaux de Paris. Withdrawn. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-03-19.
Sponsored by Assistance Publique - Hôpitaux de Paris · Not applicable, Interventional, and Other
The primary objective of the study is to develop an algorithm of automated segmentation of shoulder by MRI examinations.
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.
Assistance Publique - Hôpitaux de Paris is the lead sponsor of 3,505 studies on the registry; 1,006 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Exclusion Criteria:
All participants are healthy volunteers
Procedure: CT-Scan and MRI
CT-Scan and MRI examination for shoulder will be performed on healthy volunteers.
Algorithm developement
The developement for automatic segmentation algorithm: uses method with a convolutional neural networks (convolutional neural network - CNN).
Time frame: through study completion, an average of 8 month
No study locations are listed for this record.
Plan to share: No
No publications or documents are linked to this record.
This study is withdrawn, as verified in Jun 2024. You cannot join it, but the record below documents what was studied.
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Assistance Publique - Hôpitaux de Paris