Multimodal Modeling of the Knee Joint

NCT ID: NCT04179812

Last Updated: 2021-07-02

Study Results

Results pending

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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Recruitment Status

UNKNOWN

Total Enrollment

210 participants

Study Classification

OBSERVATIONAL

Study Start Date

2019-03-16

Study Completion Date

2021-07-31

Brief Summary

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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).

Detailed Description

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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.

Conditions

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Knee Arthroplasty

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

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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
Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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University Hospital, Brest

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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CHRU de Brest

Brest, , France

Site Status RECRUITING

Countries

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France

Central Contacts

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STINDEL Eric

Role: CONTACT

+33 (0)2 98 22 38 58

Dardenne Guillaume

Role: CONTACT

+33 (0)2 98 01 81 02

Facility Contacts

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Eric Stindel

Role: primary

Other Identifiers

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KneeMod ( 29BRC18.0235)

Identifier Type: -

Identifier Source: org_study_id

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