MUSCLE-ML: Multimodal Integration of Muscle Strength, Structure by Machine Learning for Precision Rehabilitation After ACL Injury

NCT ID: NCT07284771

Last Updated: 2025-12-16

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

182 participants

Study Classification

OBSERVATIONAL

Study Start Date

2026-04-01

Study Completion Date

2028-08-31

Brief Summary

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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.

Detailed Description

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Conditions

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Machine Learning

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Deficit group

No Intervention: Observational Cohort

Intervention Type OTHER

no intervention

Interventions

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No Intervention: Observational Cohort

no intervention

Intervention Type OTHER

Eligibility Criteria

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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
Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Chinese University of Hong Kong

OTHER

Sponsor Role lead

Responsible Party

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Patrick Shu-Hang YUNG

Professor and Chairman, Department of Orthopaedics & Traumatology, Faculty of Medicine, The Chinese University of Hong Kong

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Shu Hang YUNG

Role: PRINCIPAL_INVESTIGATOR

Chinese University of Hong Kong

Central Contacts

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muriel XIAO

Role: CONTACT

(852)35053311

Other Identifiers

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23241901

Identifier Type: OTHER_GRANT

Identifier Source: secondary_id

2025.374

Identifier Type: -

Identifier Source: org_study_id