Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
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.
Due to the involvement of various structures, patients with oral cancer may experience functional impairments after treatment, such as trismus, spinal accessory nerve dysfunction, neck dystonia, radiation fibrosis, and fatigue. This observational study aims to develop an AI-based system for tracking mandibular and shoulder movements using deep learning techniques. AI-generated pose estimations will be compared with gold standard measurements: maximal mouth opening will be compared with caliper measurements, and Therabilte scale, while shoulder abduction range of motion will be compared with universal goniometer measurements. We will recruit 20 healthy adults and 20 oral cancer patients. Data on maximal mouth opening and shoulder abduction will be collected through video recordings, calipers, Therabilte scale, and universal goniometers. The videos will be analyzed using deep learning to estimate mouth opening and shoulder abduction angles. These estimates will then be compared with the gold standard measurements. The Intraclass Correlation Coefficient (ICC), Mean Absolute Error (MAE), and Coefficient of Variation (CV) will be used as performance indicators to assess and compare the reliability, accuracy, and consistency of the models.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| oral cancer patients | oral cancer patients with trismus, neck, or shoulder problems |
| |
| healthy adults | healthy adults without history of trismus, neck, or shoulder problems |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| observation alone | Behavioral | observation of maximal mouth opening, lateral excursion, and range of motion of shoulder abduction, neck joint |
|
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
Not provided
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
primary care clinic, community, university
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Yueh-Hsia Chen, PhD | Contact | +886 921435981 | yuehhsiachen@ntu.edu.tw |
| Name | Affiliation | Role |
|---|---|---|
| Yueh-Hsia Chen, PhD | School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University | Recruiting | Taipei | 100 | Taiwan |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 34577204 | Background | 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. | |
| 31407421 | 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. |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D009062 | Mouth Neoplasms |
| ID | Term |
|---|---|
| D006258 | Head and Neck Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D009059 | Mouth Diseases |
Not provided
Not provided
| ID | Term |
|---|---|
| D019370 | Observation |
| ID | Term |
|---|---|
| D008722 | Methods |
| D008919 | Investigative Techniques |
Not provided
Not provided
Not provided
Not provided
Not provided
| 31701267 | 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. |
| 32890607 | 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. |
| 27002678 | 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. |
| 31215723 | 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. |
| 34770620 | 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. |
| 35821447 | 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. |
| 32760097 | 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. |
| 34412536 | 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. |
| 33348775 | 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. |
| 39318409 | 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. |
| 38733018 | 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. |
| 38257626 | 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. |
| D009057 |
| Stomatognathic Diseases |