AI-based Physiotherapy Evaluation System for Range of Motion in Oral Cancer Patients
Validity and Reliability of an AI-based Physiotherapy Evaluation System for Oromandibular and Neck-Shoulder Range of Motion in Oral Cancer Patients
This study aims to evaluate the validity and reliability of a novel AI-based physiotherapy evaluation system for measuring oromandibular and neck-shoulder range of motion (ROM). Traditional ROM assessments rely on manual measurements, which may be influenced by rater experience and variability. The proposed AI system uses automated keypoint tracking to provide objective and standardized measurements.
In this cross-sectional study, healthy adult participants will perform standardized ROM tasks. Measurements obtained from the AI system will be compared with those from two independent raters using conventional clinical tools. Repeated measurements will be conducted to assess intra-rater and inter-rater reliability. The agreement between the AI system and human raters will be evaluated to determine the system's clinical applicability.
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
This study is a cross-sectional measurement study designed to evaluate the reliability and concurrent validity of an AI-based physiotherapy evaluation system for assessing oromandibular and neck-shoulder range of motion (ROM). Participants will be healthy adults aged 20 to 70 years who meet predefined inclusion and exclusion criteria. After providing informed consent, participants will perform standardized movements, including mouth opening and cervical and shoulder ROM tasks.
Each participant will undergo three repeated measurements for each movement. ROM will be assessed using three methods: (1) an AI-based system utilizing real-time keypoint tracking and automated angle calculation, (2) manual measurement by Rater 1, and (3) independent manual measurement by Rater 2 using a goniometer or TheraBite ROM scale.
To minimize measurement bias and fatigue effects, the order of the three assessment methods will be randomized for each participant. Raters will be blinded to each other's measurements and to the AI-generated results.
The primary outcomes include inter-rater reliability and intra-rater reliability of the AI system, as well as agreement between AI-based and manual measurements. Reliability will be assessed using intraclass correlation coefficients (ICC), while agreement will be evaluated using Bland-Altman analysis and mean absolute error (MAE).
This study is expected to provide evidence supporting the clinical applicability of AI-based physiotherapy assessment tools, particularly for standardized and scalable musculoskeletal evaluations.
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Yueh-Hsia Chen, Ph.D.
- Phone Number: +886-2-33668133
- Email: yuehhsiachen@ntu.edu.tw
Study Locations
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Taipei, Taiwan, 100
- Recruiting
- School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University
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Contact:
- Yueh-Hsia Chen, Ph.D
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Healthy adults aged 20 to 70 years
- No trismus
- No history of head, neck, or shoulder injury or surgery
- No history of head and neck cancer-related radiotherapy or chemotherapy
Exclusion Criteria:
- Inability to communicate or follow instructions
- Any condition that may affect movement performance
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
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Healthy group
Healthy adults aged between 20 and 70 years without a history of trismus, head, neck or shoulder injury or surgery, HNC-related radiotherapy or chemoradiotherapy were recruited.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Agreement Between AI and Manual Measurements
Time Frame: Baseline
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Agreement between AI-based and manual measurements assessed using Intraclass correlation coefficients (ICC) and Bland-Altman analysis
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Baseline
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Mean Absolute Error (MAE)
Time Frame: Baseline
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Average absolute difference between AI measurements and manual measurements
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Baseline
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Intra-rater reliability of human raters
Time Frame: Baselinte
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Consistency of manual measurements by Rater 1 and Rater 2 across repeated trials using intraclass correlation coefficients (ICC)
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Baselinte
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Inter-rater reliability among all raters
Time Frame: Baseline
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Agreement among measurements obtained from the AI system, Rater 1, and Rater 2 will be assessed using intraclass correlation coefficients (ICC)
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Baseline
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Intra-rater reliability of AI system
Time Frame: Baseline
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Consistency of AI-based measurements across three repeated trials using intraclass correlation coefficients (ICC)
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Baseline
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Systematic measurement bias
Time Frame: Baseline
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Mean difference between AI-based and manual measurements
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Baseline
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Yueh-Hsia Chen, Ph.D., School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University
Publications and helpful links
General Publications
- Agarwal P, Shiva Kumar HR, Rai KK. Trismus in oral cancer patients undergoing surgery and radiotherapy. J Oral Biol Craniofac Res. 2016 Nov;6(Suppl 1):S9-S13. doi: 10.1016/j.jobcr.2016.10.004. Epub 2016 Oct 22.
- Deb S, Islam MF, Rahman S, Rahman S. Graph Convolutional Networks for Assessment of Physical Rehabilitation Exercises. IEEE Trans Neural Syst Rehabil Eng. 2022;30:410-419. doi: 10.1109/TNSRE.2022.3150392. Epub 2022 Feb 23.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 202603023RIND
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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