Estimating Jaw, Neck, and Shoulder Range of Motion Using an AI Model

NCT06629038 | Recruiting

• 1 other identifier: 202403103RINA
• Study Type: observational
• Target: 40
• Locations: 1 country
• Sites: 1

Brief Summary

This observational study aims to develop an AI-based system for tracking mandibular and shoulder movements using deep learning techniques. It will compare AI-generated pose estimations with gold standard measurements to assess accuracy, particularly in patients with functional impairments from oral cancer treatment, such as trismus, spinal accessory nerve dysfunction, neck dystonia, and radiation fibrosis.

Conditions

Oral Cancer

Keywords

oral cancer; shoulder; range of motion; artificial intelligence; pose estimation; maximal mouth opening

Outcome Measures

Primary Outcomes (4)

• maximal mouth opening

  maximal mouth opening

  The date of enrollment

• maximal lateral excursion of mandible

  maximal lateral excursion of mandible

  The date of enrollment

• range of motion of shoulder abduction

  range of motion of shoulder abduction

  The date of enrollment

• range of motion of neck

  lateral side bending and rotation of the neck

  The date of enrollment

Study Arms (2)

oral cancer patients

oral cancer patients with trismus, neck, or shoulder problems

Behavioral: observation alone

healthy adults

healthy adults without history of trismus, neck, or shoulder problems

Behavioral: observation alone

Interventions

observation alone BEHAVIORAL

observation of maximal mouth opening, lateral excursion, and range of motion of shoulder abduction, neck joint

healthy adults; oral cancer patients

Eligibility Criteria

• Age: 20 Years - 65 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

primary care clinic, community, university

You may qualify if:

• Healthy adults without a history of head, neck or shoulder injury or surgery, and without HNC-related radiotherapy or chemoradiotherapy
• Oral cancer patients with trismus, clinical signs of neck or shoulder joint impairment after oral cancer surgery or radiotherapy
• Age between 20 and 65 years

You may not qualify if:

• Could not communicate
• Had any disorder that could influence movement performance

Sponsors & Collaborators

• National Taiwan University Hospital: lead

Study Sites (1)

School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University

Taipei, 100, Taiwan

RECRUITING

Related Publications (14)

• 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 BACKGROUND

• Sandler ML, Lazarus CL, Ru M, Sharif KF, Yue LE, Griffin MJ, Likhterov I, Chai RL, Buchbinder D, Urken ML, Ganz C. Effects of jaw exercise intervention timing on outcomes following oral and oropharyngeal cancer surgery: Pilot study. Head Neck. 2019 Nov;41(11):3806-3817. doi: 10.1002/hed.25908. Epub 2019 Aug 12.

  PMID: 31407421 BACKGROUND

• van der Geer SJ, Reintsema H, Kamstra JI, Roodenburg JLN, Dijkstra PU. The use of stretching devices for treatment of trismus in head and neck cancer patients: a randomized controlled trial. Support Care Cancer. 2020 Jan;28(1):9-11. doi: 10.1007/s00520-019-05075-7. Epub 2019 Nov 7.

  PMID: 31701267 BACKGROUND

• Shao CH, Chiang CC, Huang TW. Exercise therapy for cancer treatment-induced trismus in patients with head and neck cancer: A systematic review and meta-analysis of randomized controlled trials. Radiother Oncol. 2020 Oct;151:249-255. doi: 10.1016/j.radonc.2020.08.024. Epub 2020 Sep 3.

  PMID: 32890607 BACKGROUND

• Cohen EE, LaMonte SJ, Erb NL, Beckman KL, Sadeghi N, Hutcheson KA, Stubblefield MD, Abbott DM, Fisher PS, Stein KD, Lyman GH, Pratt-Chapman ML. American Cancer Society Head and Neck Cancer Survivorship Care Guideline. CA Cancer J Clin. 2016 May;66(3):203-39. doi: 10.3322/caac.21343. Epub 2016 Mar 22.

  PMID: 27002678 BACKGROUND

• Watters AL, Cope S, Keller MN, Padilla M, Enciso R. Prevalence of trismus in patients with head and neck cancer: A systematic review with meta-analysis. Head Neck. 2019 Sep;41(9):3408-3421. doi: 10.1002/hed.25836. Epub 2019 Jun 19.

  PMID: 31215723 BACKGROUND

• Stenum J, Cherry-Allen KM, Pyles CO, Reetzke RD, Vignos MF, Roemmich RT. Applications of Pose Estimation in Human Health and Performance across the Lifespan. Sensors (Basel). 2021 Nov 3;21(21):7315. doi: 10.3390/s21217315.

  PMID: 34770620 BACKGROUND

• 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 BACKGROUND

• 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 BACKGROUND

• 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 BACKGROUND

• Beshara P, Chen JF, Read AC, Lagadec P, Wang T, Walsh WR. The Reliability and Validity of Wearable Inertial Sensors Coupled with the Microsoft Kinect to Measure Shoulder Range-of-Motion. Sensors (Basel). 2020 Dec 17;20(24):7238. doi: 10.3390/s20247238.

  PMID: 33348775 BACKGROUND

• Shepherd J, Hansjee S, Divall P, Raval P, Singh HP. How do digital range of motion measurement devices 'measure-up' to traditional goniometry in assessing shoulder range of motion? A systematic review and meta-analysis. Shoulder Elbow. 2024 Jul;16(4):363-381. doi: 10.1177/17585732231195554. Epub 2023 Aug 31.

  PMID: 39318409 BACKGROUND

• Takigami S, Inui A, Mifune Y, Nishimoto H, Yamaura K, Kato T, Furukawa T, Tanaka S, Kusunose M, Ehara Y, Kuroda R. Estimation of Shoulder Joint Rotation Angle Using Tablet Device and Pose Estimation Artificial Intelligence Model. Sensors (Basel). 2024 May 2;24(9):2912. doi: 10.3390/s24092912.

  PMID: 38733018 BACKGROUND

• van den Hoorn W, Lavaill M, Cutbush K, Gupta A, Kerr G. Comparison of Shoulder Range of Motion Quantified with Mobile Phone Video-Based Skeletal Tracking and 3D Motion Capture-Preliminary Study. Sensors (Basel). 2024 Jan 15;24(2):534. doi: 10.3390/s24020534.

  PMID: 38257626 BACKGROUND

MeSH Terms

Conditions

Mouth Neoplasms

Interventions

Observation

Condition Hierarchy (Ancestors)

Head and Neck Neoplasms; Neoplasms by Site; Neoplasms; Mouth Diseases; Stomatognathic Diseases

Intervention Hierarchy (Ancestors)

Methods; Investigative Techniques

Study Officials

• Yueh-Hsia Chen, PhD

  School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Yueh-Hsia Chen, PhD

CONTACT

+886 921435981; yuehhsiachen@ntu.edu.tw

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: October 3, 2024
• First Posted: October 8, 2024
• Study Start: December 5, 2024
• Primary Completion (Estimated): December 31, 2026
• Study Completion (Estimated): December 31, 2026
• Last Updated: February 11, 2026

Record last verified: 2026-02

Data Sharing

• IPD Sharing: Will not share

Locations

TW (1)