Actively Recruiting
Construction and Application of Precise Diagnosis and Treatment System for Thyroid-associated Ophthalmopathy
Led by Second Affiliated Hospital, School of Medicine, Zhejiang University · Updated on 2025-08-15
500
Participants Needed
1
Research Sites
52 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Researchers are developing a deep learning-based system to automatically diagnose, stage, and grade thyroid-associated ophthalmopathy (TAO). The study aims to assist treatment decisions and predict patient outcomes by integrating multiple types of information, offering new tools to support clinical care for those with TAO and those without the condition. Participants include people without TAO and patients diagnosed with TAO based on specific criteria. The study involves collecting various imaging and ocular examination data, including 2D and 3D facial photos, blinking videos, orbital CT and MRI scans, fundus images, and images from nine gaze positions. Clinical information and quality of life assessments are also recorded, along with eye tests such as visual acuity, levator function, exophthalmos measurement, strabismus tests, visual field exams, axial length measurement, OCT, and OCTA. Participants will be followed for an average of five years, during which eye morphology, blinking features, ocular movement, and three-dimensional eye parameters will be measured. The system's ability to automatically segment orbital structures and provide diagnosis, grading, staging, and prediction for TAO will also be evaluated. This long-term monitoring aims to improve the understanding and management of TAO over time.
CONDITIONS
Brief Title
Construction and Application of Precise Diagnosis and Treatment System for Thyroid-associated Ophthalmopathy
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Participants without eyelid disorders (control group)
- Patients diagnosed with thyroid-associated ophthalmopathy (TAO group)
- Cooperative participants able to complete study procedures
You will not qualify if you...
- Participants with pupil or cornea disorders
- Participants with a history of eye injury
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
Duration - Up to 5 years
Participants undergo imaging and ocular examinations including 2D and 3D facial photography, blinking videos, orbital CT and MRI, fundus images, nine gaze position images, and various ocular function tests.
Periodic visits throughout the study duration
Duration - Average of 5 years
Participants are observed over an average of 5 years to assess eye morphological parameters, blinking features, ocular movement, and automatic orbital structure segmentation using deep learning methods.
Ongoing assessments during the study period
Trial Site Locations
Total: 1 location
1
Juan Ye
Hangzhou, Zhejiang, China, 310000
Actively Recruiting
Research Team
J
Juan Ye
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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