Diagnostic Performance of Ultrasound Imaging Technique for Femoral Condyle Cartilage Evaluation and Osteoarthritis
CARTILAGE
Qualification of Ultrasound Imaging Technique in the Quantitative Evaluation of Cartilaginous Tissue of Femoral Condyle Articulation and Osteoarthritis
1 other identifier
observational
16
1 country
1
Brief Summary
This study investigates the potential of the ultrasound imaging technique to diagnose the severity of knee osteoarthritis (OA). In parallel, measurements will also be conducted using Magnetic Resonance Imaging (MRI) and histology analysis as reference tools.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Jun 2017
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 8, 2017
CompletedFirst Posted
Study publicly available on registry
June 12, 2017
CompletedStudy Start
First participant enrolled
June 15, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 27, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
July 27, 2017
CompletedSeptember 11, 2018
September 1, 2018
1 month
June 8, 2017
September 10, 2018
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Evaluation of the correlation between the Time of Flight (TOF) of ultrasounds between the two interfaces (bone / cartilage and cartilage / water) and the real thickness of the cartilage measured by Magnetic Resonance Imaging (MRI).
Correlation coefficients between US-TOF measurements and cartilage thickness measurements corresponding to MRI.
5 months
Secondary Outcomes (3)
Evaluation of the relationship between the propagation velocity of the ultrasound wave in cartilage tissue and the osteoarthritis degree defined by OARSI scale.
5 months
Evaluation of the relationship between 3D surface reconstruction and defects of cartilage samples from localized ultrasound data and those derived from MRI data
5 months
Evaluation of correlation between thickness measured by MRI and this measured by histological analysis.
5 months
Study Arms (1)
Ultrasound assessment
All subject of the study have a knee osteoarthritis (OA) and are going to have a total arthroplasty. Diagnostic performance of ultrasonography is evaluated on ex vivo cartilage samples (2 samples per patient are selected with different stage of OA : 1 with early stage and 1 with advanced stage).
Eligibility Criteria
Patients with knee osteoarthritis with an indication of total arthroplasty
You may qualify if:
- patient over 18 year old
- knee osteoarthritis which total knee arthroplasty indication
- who have signed a non-objection form.
You may not qualify if:
- person who refuse to sign a non-objection form
- person deprived of liberty by judicial or administrative decision
- person under legal protection or unable to express their consent
- person hospitalized for psychiatric care
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University Hospital, Grenoblelead
- TIMC-IMAGcollaborator
- Clinical Investigation Centre for Innovative Technology Networkcollaborator
Study Sites (1)
Orthopedic Surgery Department, University Hospital, Grenoble
Grenoble, 38043, France
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Alexandre Moreau -Gaudry, MD, PhD
Clinical Investigation Centre for Innovative Technology Network - University Hospital Grenoble
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 8, 2017
First Posted
June 12, 2017
Study Start
June 15, 2017
Primary Completion
July 27, 2017
Study Completion
July 27, 2017
Last Updated
September 11, 2018
Record last verified: 2018-09
Data Sharing
- IPD Sharing
- Will not share