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.
Unilateral ACL injury and plan for ACLR
Commit the post-operation physiotherapy in Prince of Wales Hospital
Preoperative radiographic signs of arthritis
Patient non-compliance to the rehabilitation program
All the ACLR patients will be recruited at the Orthopaedics Outpatient Clinic at Prince of Wales Hospital.
Cohort
Prospective
No Intervention: Observational Cohort
Other interventionno intervention
International Knee Documentation Committee score
Click on the lead sponsor to view all of their trials.
This trial is not recruiting at the moment. You can still explore other options:
