AI Based Physiotherapy 3- and 9-Month Follow-Up in Oral Cancer Patients
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: AI-based physiotherapy follow-up assessments, conventional physiotherapy follow-up assessments.
- Who it may be relevant to
- Registry conditions: Oral Cancer. Basic parameters: 20 years — 70 years · 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
- Taiwan
- 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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Official title
Effects of AI Based Physiotherapy on Mandibular Mobility Shoulder Function Whole Body Physical Function Quality of Life and Return to Work in Oral Cancer Patients: 3- and 9-Month Postintervention Follow-Up
Overview
This follow-up clinical study aims to evaluate the sustained effects of two rehabilitation programs (AI-based physiotherapy vs. conventional physiotherapy) for oral cancer patients. Participants who completed the original intervention trial (ClinicalTrials.gov ID: 202411044RINC) will be assessed at 3 and 9 months post-intervention. Outcomes include mandibular mobility, shoulder joint range of motion, functional performance, quality of life, pain, and return-to-work status.
Detailed description
This study is a continuation of our prior trial (ClinicalTrials.gov ID: 202411044RINC), which investigated the short-term effects of AI-based physiotherapy compared with conventional physiotherapy in oral cancer patients.
The current follow-up phase evaluates both groups at 3 and 9 months post-intervention to determine whether initial improvements are maintained and whether they translate into better long-term physical function, quality of life, and return-to-work outcomes. No additional interventions will be delivered; only follow-up assessments are planned.
Interventions
- Other AI-based physiotherapy follow-up assessments
AI-based physiotherapy and 3 and 9 months follow-up assessments - Other conventional physiotherapy follow-up assessments
conventional physiotherapy and 3 and 9 months follow-up assessments
Primary outcome measures
- Disabilities of the Arm, Shoulder, and Hand outcome questionnaire [Time frame: 3 months, 9 months post-intervention]
- EORTC QLQ-C30 questionnaire [Time frame: 3 months, 9 months post-intervention]
Secondary outcome measures (1)
- Return-to-work status [Time frame: 3 months, 9 months post-intervention]
Eligibility criteria
Inclusion criteria
- Participants who completed the intervention phase of the previous trial (202411044RINC)
- Age 20-65 years
- Able to attend follow-up assessments at 3 and 9 months
Exclusion criteria
- Withdrawal from the original trial
- Cancer recurrence or new cancer-related treatment interfering with functional assessment
- Unable to communicate or comply with follow-up visits
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- Non-randomized
- Model
- Parallel assignment
- Masking
- Open label
- Primary purpose
- Treatment
Study locations
Taiwan · 1 center
- School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan Un — Taipei
Publications
- Badiola-Bengoa A, Mendez-Zorrilla A. A Systematic Review of the Application of Camera-Based Human Pose Estimation in the Field of Sport and Physical Exercise. Sensors (Basel). 2021 Sep 7;21(18):5996. doi: 10.3390/s21185996. PMID 34577204
- Baranano CF, Rosenthal EL, Morgan BA, McColloch NL, Magnuson JS. Dynasplint for the management of trismus after treatment of upper aerodigestive tract cancer: a retrospective study. Ear Nose Throat J. 2011 Dec;90(12):584-90. doi: 10.1177/014556131109001209. PMID 22180114
- Chen CC, Lin CC, Hsieh HP, Fu YC, Chen YJ, Lu TW. In vivo three-dimensional mandibular kinematics and functional point trajectories during temporomandibular activities using 3d fluoroscopy. Dentomaxillofac Radiol. 2021 Feb 1;50(2):20190464. doi: 10.1259/dmfr.20190464. Epub 2020 Aug 12. PMID 32783637
- Chen SC, Huang BS, Hung TM, Lin CY, Chang YL. Impact of physical and psychosocial dysfunction on return to work in survivors of oral cavity cancer. Psychooncology. 2019 Sep;28(9):1910-1917. doi: 10.1002/pon.5173. Epub 2019 Jul 23. PMID 31291694
- Chen YH, Liang WA, Lin CR, Huang CY. A randomized controlled trial of scapular exercises with electromyography biofeedback in oral cancer patients with accessory nerve dysfunction. Support Care Cancer. 2022 Oct;30(10):8241-8250. doi: 10.1007/s00520-022-07263-4. Epub 2022 Jul 11. PMID 35821447
- Chen YH, Huang CY, Liang WA, Lin CR, Chao YH. Effects of Conscious Control of Scapular Orientation in Oral Cancer Survivors With Scapular Dyskinesis: A Randomized Controlled Trial. Integr Cancer Ther. 2021 Jan-Dec;20:15347354211040827. doi: 10.1177/15347354211040827. PMID 34412536
- Chen YH, Lin CR, Liang WA, Huang CY. Motor control integrated into muscle strengthening exercises has more effects on scapular muscle activities and joint range of motion before initiation of radiotherapy in oral cancer survivors with neck dissection: A randomized controlled trial. PLoS One. 2020 Aug 6;15(8):e0237133. doi: 10.1371/journal.pone.0237133. eCollection 2020. PMID 32760097
- Chen YH, Liang WA, Hsu CY, Guo SL, Lien SH, Tseng HJ, Chao YH. Functional outcomes and quality of life after a 6-month early intervention program for oral cancer survivors: a single-arm clinical trial. PeerJ. 2018 Feb 21;6:e4419. doi: 10.7717/peerj.4419. eCollection 2018. PMID 29492348
Identifiers
NCT: NCT07237672 · 202412109RIND