Oral Cancer
Conditions
Keywords
oral cancer, shoulder, range of motion, artificial intelligence, pose estimation, maximal mouth opening
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.
Detailed description
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.
Interventions
BEHAVIORALobservation alone
observation of maximal mouth opening, lateral excursion, and range of motion of shoulder abduction, neck joint
Sponsors
National Taiwan University Hospital
Study design
Observational model
OTHER
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
20 Years to 65 Years
Healthy volunteers
Yes
Inclusion criteria
* 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
Exclusion criteria
* Could not communicate * Had any disorder that could influence movement performance
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| maximal mouth opening | The date of enrollment | maximal mouth opening |
| maximal lateral excursion of mandible | The date of enrollment | maximal lateral excursion of mandible |
| range of motion of shoulder abduction | The date of enrollment | range of motion of shoulder abduction |
| range of motion of neck | The date of enrollment | lateral side bending and rotation of the neck |
Countries
Taiwan
Contacts
CONTACTYueh-Hsia Chen, PhD
PRINCIPAL_INVESTIGATORYueh-Hsia Chen, PhD
School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University
Outcome results
None listed