Multimodal Modeling of the Knee Joint (KneeMod)

Regional University Hospital Center (CHRU)

Status: Unknown

Conditions: Knee Arthroplasty

Study type: Observational

Funder types: Other

Identifiers

NCT04179812

KneeMod ( 29BRC18.0235)

Details and patient eligibility

About

The trial will contribute to the development of an innovative algorithm that aims to simplify and improve preoperative knee surgical decision. This will be made by automatically extracting anatomical informations from different images acquired on the patient (scanner, MRI, radiography).

Full description

The source population will consist of at least 50 patients whose following modalities of images of the leg are present in the database: scanner, MRI, radiography. No restrictions on age or gender are required.

A dedicated algorithm adapting statistical models of appearance to the specific morphology of the patient acquired through an MRI and / or scanner and radios will then be developed.

Enrollment: 210 estimated patients

Sex: All

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Patients having the 3 modality of images : scanner, MRI, radiography
• Patients having osteoarthritis or knee trauma
• Images showing the articualtion of the knee
• having formulated his non opposition

Exclusion criteria

• Presentation of a partial view of the knee or any view that does not allow a good segmentation of the total knee joint.
• Refusal to participate