MUSCLE-ML: Multimodal Integration of Muscle Strength, Structure by Machine Learning for Precision Rehabilitation After ACL Injury
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: No Intervention: Observational Cohort.
- Who it may be relevant to
- Registry conditions: Machine Learning. Basic parameters: No limits · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Center list to be confirmed — check the primary protocol.
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
The goal of this clinical trial is to use machine learning (ML) to predict functional recovery by integrating muscle-related factors and other relevant parameters for identification of non-responders to conventional rehabilitation. The main questions it aims to answer are: Do deficit clusters lead to poorer functional recovery compared to non-deficit clusters? Does an ML-derived composite score that integrates quadriceps/hamstring strength and size outperform isolated metrics in predicting RTP success? Researchers will compare deficit clusters against non-deficit clusters to determine if deficit clusters lead to poorer functional recovery. Participants will: Return for 5 follow-up timepoints in total for PRO and functional assessments including pre-operation, 1-, 3-, 6- and 12-months post-operation.
Interventions
- Other No Intervention: Observational Cohort
no intervention
Primary outcome measures
- International Knee Documentation Committee score [Time frame: 6- and 12-months post-operation]
Eligibility criteria
Inclusion criteria
- Unilateral ACL injury and plan for ACLR
- Commit the post-operation physiotherapy in Prince of Wales Hospital
Exclusion criteria
- Preoperative radiographic signs of arthritis
- Patient non-compliance to the rehabilitation program
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Observational model
- Cohort
Study locations
Center list to be confirmed — check the primary protocol.
Identifiers
NCT: NCT07284771 · 2025.374 · 23241901