Assessment of Femoral Failure Load and Fracture Risk in Rare Bone Disorders Using MEKANOS Tool. Case Study of Fibrous Dysplasia of Bone/McCune Albright Syndrome

NCT07507942 | Active Not Recruiting

• 2 other identifiers: 69HCL25_049325-5106
• Study Type: observational
• Target: 20
• Locations: 1 country
• Sites: 1

Brief Summary

The issue of rare diseases has become a public health priority. In France, a national plan for rare diseases was published in 2004. It leads to the creation and certification of numerous Rare Disease Reference Centers by the French National Authority for Health (Haute Autorité de Santé). Our Fibrous Dysplasia Reference Center has been certified since 2006. However, evaluating the mechanical strength and fracture risk of fibrous dysplasia lesions remains a major unresolved challenge for clinicians. Improving the assessment of fracture risk therefore represents a key clinical objective.

Conditions

Fibrous Dysplasia/McCune-Albright Syndrome

Keywords

Fibrous dysplasia; McCune Albright; MEKANOS tool; MAS-DF; bone disease; fracture risk in rare bone disease

Outcome Measures

Primary Outcomes (1)

• Tool X

  Obtaining an image suitable for processing with tool X in order to compute failure strength through numerical simulation (i.e., adequate bone segmentation and a correctly implemented numerical model with appropriate boundary conditions).

  CT scans of Patients with femoral fibrous dysplasia lesions performed from January 2002 until 9 March 2025.

Study Arms (1)

CT scans of Patients with femoral fibrous dysplasia lesions identified in the Easily HYBRID DF datab

Application of MEKANOS tool to CT scans.

Other: Application of MEKANOS tool to CT scans

Interventions

Application of MEKANOS tool to CT scans OTHER

MEKANOS tool is an algorithm that automatically segments femurs from clinical CT scans, generates a numerical model, and performs a numerical simulation of single leg stance loading on these femurs. The tool is developed within INSERM unit 1033 and is currently available only in the laboratory. Input data consist of CT imaging (DICOM format) and retrospective clinical data. The output is the failure load expressed in Newtons.Interpretation of the results involves determining fracture risk based on the failure load (pathological bone versus healthy bone), and then integrating patient size and weight. CT Scans are issued from the HCL PACS, and clinical data issued from Easily Hybrid DF database.

CT scans of Patients with femoral fibrous dysplasia lesions identified in the Easily HYBRID DF datab

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Clinical data issued from Easily HYBRID DF Database, and CT images of long bones acquired during routine clinical care and retrieved from the HCL imaging..

You may qualify if:

• Adults with Fibrous Dysplasia (FD) of the bone or McCune-Albright Syndrome (MAS);
• who have received care at the center through outpatient consultation, multidisciplinary evaluation, or hospitalization;
• whose diagnosis was confirmed by an expert physician from the reference center based on a combination of clinical, biochemical, and radiological criteria, in accordance with the recommendations of the international FD/MAS consortium (Javaid MK et al., Orphanet J Rare Dis. 2019);
• for whom a histological confirmation was obtained in cases of diagnostic uncertainty;
• no objection to data collection

You may not qualify if:

• \- CT scan with implanted material on the femur,
• Individuals under legal protection measures

Sponsors & Collaborators

• Hospices Civils de Lyon: lead

Study Sites (1)

Edouard Herriot Hospital - rheumatology

Lyon, Lyon, 69003, France

Location

MeSH Terms

Conditions

Fibrous Dysplasia of Bone; Fibrous Dysplasia, Polyostotic; Bone Diseases

Condition Hierarchy (Ancestors)

Osteochondrodysplasias; Bone Diseases, Developmental; Musculoskeletal Diseases

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: February 12, 2026
• First Posted: April 2, 2026
• Study Start: March 10, 2025
• Primary Completion: March 10, 2026
• Study Completion (Estimated): March 10, 2027
• Last Updated: April 2, 2026

Record last verified: 2026-02

Locations

FR (1)