Are subject-specific musculoskeletal models robust to the uncertainties in parameter identification?
Giordano Valente, Lorenzo Pitto, Debora Testi...
https://pubmed.ncbi.nlm.nih.gov/25390896Actively Recruiting
Age: 18Years - 65Years
All Genders
Healthy Volunteers
ID07366619
Diagnostics of the Anterior Cruciate Ligament (ACL) Using Magic Angle Directional Imaging (MADI)
Led by Imperial College London · Updated on 2026-01-26
20
Participants Needed
2
Research Sites
21 weeks
Total Duration
On this page
Sponsors
I
Imperial College London
Lead Sponsor
I
Imperial College Healthcare NHS Trust
Collaborating Sponsor
AI-Summary
What this Trial Is About
Researchers are investigating a new Magnetic Resonance Imaging (MRI) scanner designed to provide better images of tissues like ligaments, tendons, and cartilage. This study focuses on using Magic Angle Direction Imaging (MADI) to examine the anterior cruciate ligament (ACL) in the knee. The goal is to see if this technique can give more detailed information about collagen fiber structures to help diagnose ACL injuries more accurately compared to conventional MRI. The study uses a novel prototype MRI scanner that can move around the patient to capture images from different angles. Patients with diagnosed ACL tears will undergo scans in this MA-MRI scanner, which is located at Imperial College London. The scanning visit takes about 1.5 hours, with the imaging itself lasting around an hour. Patients will be comfortably seated and their knee positioned carefully during the scan. Researchers will analyze the images qualitatively and quantitatively to assess ligament structure and compare results with conventional MRI. Participants will provide informed consent before scanning and may be reimbursed for travel expenses. After the scan, researchers will review the images and may share additional findings with the patient's clinical team. One year after the scan, patients will be contacted to collect any new clinical information or imaging related to their injury. The study aims to measure the reproducibility of the Magic Angle MRI before and 12 months after surgery, with ongoing safety and efficacy monitoring throughout the study period.
CONDITIONS
Brief Title
Magic Angle Direction Imaging (MADI) ACL Study
Who Can Participate
Age: 18Years - 65Years
All Genders
Healthy Volunteers
Eligibility Criteria
You may qualify if you...
- Adults aged 18 to 65 years
- Selected for ligament repair surgery
- Ability to give informed consent, either written or electronic
- No contraindications to MRI
- Body mass index (BMI) of 28 or less or thigh circumference less than 47 cm about 7.5 cm above the knee joint
You will not qualify if you...
- Acutely unwell or frail patients unable to tolerate longer scanning or who may have delayed treatment
- Contraindications to MRI
- Participants too large to fit in the prototype scanner
- Recent surgery to the affected joint
- Severe pain
- Pregnant or breastfeeding participants
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
1
2
3
Your Study Journey
Screening
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (phone call) for eligibility and consent discussion
Diagnostic Evaluation
Duration - 1 day
Participants undergo a specialized MRI scan using a prototype scanner to image the knee and assess ACL injuries.
1 visit (in-person) for MA-MRI scan lasting about 1.5 hours
Long-term Monitoring
Duration - Approximately 12 months after the MRI scan
Participants are contacted approximately one year after the scan to collect follow-up information about any further pathologies or clinical investigations.
1 follow-up contact by phone or email
Trial Site Locations
Total: 2 locations
1
Imperial College London
London, United Kingdom, SW7 2AZ
Actively Recruiting
2
Imperial College NHS Trust, Department of Surgery and Cancer
London, United Kingdom, W6 8RF
Actively Recruiting
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Research Team
C
Chinmay Gupte, PhD
K
Karyn E Chappell, PhD
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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