Acromial Shape and Age: How CT Looks at Shoulder Bone Shape
Official title: Acromial Morphology: Reliability of CT-based Assessment and Relationship With Age in a Series of 420 Patients
Run by University Hospital, Strasbourg, France · NCT07889583 · Data updated 2026-11-12
This study tests whether CT-based measurements of acromial morphology are reliable and how they relate to age in people who had shoulder imaging.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 20 Years to 98 Years |
| Sex | All |
| Enrollment | 420 (estimated) |
| Sponsor | University Hospital, Strasbourg, France Academic / other |
| Locations | 1 site (Strasbourg) |
| Status | Recruiting |
| Started | January 22, 2026 |
| Main results expected | November 22, 2026 |
| Study ends | January 22, 2027 |
| Registry record updated | October 22, 2026 |
| Trial ID | NCT07889583 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 20–89 who had shoulder CT or arthro-CT at Strasbourg University Hospitals between 2009 and 2023 and consented to data reuse.
✕Probably not a fit
Patients whose imaging quality is poor or who do not have clear acromial anatomy limitations may receive no direct benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This retrospective, single-center study analyzes 420 patients who had shoulder CT or arthro-CT at Strasbourg University Hospitals between 2009 and 2023. Acromial morphology is classified using the Bigliani system on 3D reconstructions, and the researchers assess how consistently different observers score the images (intra- and inter-observer reliability). They also explore whether acromial shape changes with age. Data come from medical records and imaging software, with repeat assessments at 3 and 6 months to gauge reproducibility. The study aims to clarify how acromial morphology relates to shoulder problems like impingement and rotator cuff tears, using existing imaging data.
Why it matters
Potential benefit: If reliable, CT-based acromial assessment could help clinicians understand patients' shoulder anatomy and potentially inform management decisions.
How similar studies have gone: Previous work has used CT-based morphology classifications, with mixed reliability; this study adds reproducibility data in a real-world clinical dataset.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Subjects aged 20 to 89 years * Shoulder CT or arthro-CT performed at Strasbourg University Hospitals * Examination performed between 02/01/2009 and 11/12/2023 * Independent indication for imaging * No documented opposition to reuse of medical data for research Exclusion Criteria: * Imaging not performed * Poor image quality * Inability to perform 3D reconstruction * Duplicate examination within the same age group * History of acromial fracture * Previous surgery interfering with acromial analysis (arthroplasty, acromioplasty, osteosynthesis, arthrodesis) * Shoulder pathology interfering with acromial analysis (severe acromioclavicular arthropathy, humeral head osteonecrosis, glenohumeral dysplasia)
Where it's running
-
Service de Chirurgie Orthopédique du Membre Supérieur - CHU de Strasbourg - France
Strasbourg, France Recruiting
Study contacts
- Study coordinator: Philippe CLAVERT, MD, PhD
- Email: philippe.clavert@chru-strasbourg.fr
- Phone: 33 3 88 11 67 68
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.