Robotic assistance for ACL reconstruction surgery
Official title: Robotic Assistance for Tunnel Positioning in Anterior Cruciate Ligament Reconstruction
Run by Centre Hospitalier Universitaire, Amiens · NCT04183803 · Data updated 2026-11-12
This study tests if using a robot to help position grafts during ACL surgery can make the procedure more accurate for people with ACL injuries.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 10 Years and up |
| Sex | All |
| Enrollment | 30 (estimated) |
| Sponsor | Centre Hospitalier Universitaire, Amiens Academic / other |
| Locations | 1 site (Amiens) |
| Status | Recruiting |
| Started | November 19, 2019 |
| Main results expected | September 30, 2026 |
| Study ends | September 30, 2027 |
| Registry record updated | May 13, 2026 |
| Trial ID | NCT04183803 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are children and adults aged 10 to 45 years with ACL ruptures requiring surgical intervention.
✕Probably not a fit
Patients who are managed with alternative ACL reconstruction techniques or those who are pregnant or nursing may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study evaluates a robotic-assisted technique for accurately positioning graft tunnels during anterior cruciate ligament (ACL) reconstruction surgery. It aims to improve the precision of tibial and femoral tunnel placements using the Rosa robot. A total of 30 patients with ACL injuries will be included, and the effectiveness of this robotic approach will be assessed. The surgeries will utilize either hamstring tendon or patellar tendon grafts.
Why it matters
Potential benefit: If successful, this approach could enhance surgical outcomes and recovery for patients undergoing ACL reconstruction.
How similar studies have gone: While robotic assistance in surgery is gaining traction, this specific approach for ACL reconstruction is relatively novel and has not been extensively tested in prior studies.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * All patients treated at CHU Amiens-Picardie for ACL reconstruction by practitioner who has robot experience. * children and adults from 10 to 45 years old Exclusion Criteria: * Patients managed by another ACL reconstruction technique * Patients under guardianship, curators deprived of liberty * Pregnant and nursing women. * Patient who refused to participate in the study and to sign informed consent
Where it's running
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CHU Amiens
Amiens, France Recruiting
Study contacts
- Principal investigator: François Deroussen, MD — CHU Amiens
- Study coordinator: François Deroussen, MD
- Email: deroussen.francois@chu-amiens.fr
- Phone: (33)322087576
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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Perturbation Training vs Functional Activities after ACL Reconstruction
This study tests whether perturbation training or task-oriented functional activities help people 18–45 with ACL reconstruction recover better than standard rehab.
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This will follow people having routine arthroscopic shoulder or knee surgery to see if patient characteristics, tear details, or surgical choices predict better recovery and function over two years.
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Magic Angle Direction Imaging for ACL tears and meniscus injuries
This study tries a new low-field MRI technique called Magic Angle Direction Imaging to see if it shows ACL tears and meniscus injuries more clearly in adults scheduled for ligament repair.
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Proprioceptive exercises to aid recovery after ACL surgery
This trial will see if adding proprioceptive exercises to standard balance training helps people aged 20–40 during the early rehab period after ACL surgery.
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Visual-guided balance training to improve knee function after ACL reconstruction
This program tests whether adding visual-guided balance training to standard rehabilitation helps adults 18–45 recover knee function and walking after ACL reconstruction.
-
Predicting knee cartilage wear and pain after early osteoarthritis or a recent ACL injury
This project will try to create computer models that predict cartilage damage and pain over time for people with early knee osteoarthritis or an ACL injury within the past year.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.