Multimodal Modeling of the Knee Joint

Knee Arthroplasty Clinical Trial

— KneeMod  

Official title:

Multimodal Modeling of the Knee Joint

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT04179812
• Other study ID #: KneeMod ( 29BRC18.0235)
• Status: Recruiting
• Start date: March 16, 2019
• Est. completion date: July 31, 2021

Study information

• Verified date: June 2021
• Source: University Hospital, Brest
• Contact: STINDEL Eric
• Phone: +33 (0)2 98 22 38 58
• Email: eric.stindel[@]chu-brest.fr
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

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).

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.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 210
• Est. completion date: July 31, 2021
• Est. primary completion date: July 31, 2021
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: N/A and older

Eligibility

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

Related Conditions & MeSH terms

• Knee Arthroplasty

Locations

Country	Name	City	State
France	CHRU de Brest	Brest

Sponsors (1)

Lead Sponsor	Collaborator
University Hospital, Brest

Country where clinical trial is conducted

France, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Obtaining a similar knee segmentation for all patient regardless of the input image (MRI, CT or radiography)	Creation of an algorithm that will automatically segment and provide the same knee anatomical informations for all patients studied regardless of the input image.; This multimodal modeling will be carried out via the exploitation of an active model of appearance type algorithm.	Inclusion - Day 0