3D Reconstruction of the Knee Based on MRI
IMAGENOU3D
Comparison of a 3D Reconstruction of the Knee Based on MRI With a 3D Reconstruction of the Knee Based on Scanner - Exploratory Study
1 other identifier
interventional
50
1 country
1
Brief Summary
ACL tear is a pathology of the knee quite common in athletes mainly caused by a twisting movement. The diagnosis of ACL tear can be confirmed by MRI (magnetic resonance imaging). This method makes it possible to visualize the inside of the knee and to diagnose lesions associated with rupture of the ACL (in particular meniscal lesions). Obtaining a 3D model of patients' joints from a imaging is of growing interest to plan the gesture in preoperative but also to evaluate this gesture postoperatively. In orthopedic surgery, the baseline preoperative imaging is MRI. However, 3D models are generally obtained from a scanner-like imaging. In this context, obtaining a 3D model from MRI imaging would make it possible to have a model that fits into the care pathway patients, without subjecting them to irradiation and visualizing anatomical structures not visible on CT. However, the geometric precision and the reproducibility of the 3D reconstructions of joints reconstructed from an MRI remains unknown and must be evaluated to consider their clinical use.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Sep 2023
Shorter than P25 for not_applicable
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 12, 2023
CompletedFirst Posted
Study publicly available on registry
June 22, 2023
CompletedStudy Start
First participant enrolled
September 13, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 31, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
May 31, 2024
CompletedJanuary 19, 2024
January 1, 2024
9 months
June 12, 2023
January 17, 2024
Conditions
Outcome Measures
Primary Outcomes (2)
Manual 3D knee reconstruction from MRI and scanner
Mean IoU (Intersection-Over-Union metric)
1 day
Manual 3D knee reconstruction from MRI and scanner
DICE coefficient
1 day
Secondary Outcomes (2)
Manual and AI 3D knee reconstruction from MRI
1 day
Manual and AI 3D knee reconstruction from MRI
1 day
Study Arms (1)
Scanner Arm
EXPERIMENTALA scanner must be performed by Patients
Interventions
Eligibility Criteria
You may qualify if:
- Patient, male or female, aged between ≥ 18 and ≤ 45 years old
- Patient eligible for ACL reconstruction
- Patient with an MRI performed at the SANTY orthopedic center or according to the protocol defined by the radiologists of the orthopedic center SANTY
- Patient with an MRI performed ≥ 3 weeks after ACL tear
- Affiliated patient or beneficiary of a social security scheme
- French-speaking patient who signed an informed consent
You may not qualify if:
- Patient with a surgical history on the affected knee
- Patient with a multi-ligament lesion
- Patient already included in another study
- Protected patient: adult under guardianship, curatorship or other protection legal, deprived of liberty by judicial or administrative decision
- Patient hospitalized without consent
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Hôpital Privé Jean Mermoz
Lyon, 69008, France
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Bertrand SONNERY COTTET, MD
GCS RAMSAY SANTE
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 12, 2023
First Posted
June 22, 2023
Study Start
September 13, 2023
Primary Completion
May 31, 2024
Study Completion
May 31, 2024
Last Updated
January 19, 2024
Record last verified: 2024-01
Data Sharing
- IPD Sharing
- Will not share