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Construction and Application of Precise Diagnosis and Treatment System for Thyroid-associated Ophthalmopathy
Sponsor: Second Affiliated Hospital, School of Medicine, Zhejiang University
Summary
This study aims to develop the deep learning-based system that integrates multimodal information to automatically diagnose, stage, and grade thyroid-associated ophthalmopathy (TAO), assist in treatment decision-making, and predict patient prognosis, thereby providing novel tools to support clinical management.
Key Details
Gender
All
Age Range
7 Years - 90 Years
Study Type
OBSERVATIONAL
Enrollment
500
Start Date
2022-10-01
Completion Date
2031-10-01
Last Updated
2025-08-15
Healthy Volunteers
Yes
Conditions
Interventions
Imaging and ocular examinations
2D and 3D Facial photography, blinking videos, orbital CT and MRI images, fundus images and images of nine gaze positions are taken. Clinical information is recorded. Quality of life is assessed. Ocular examinations, such as visual acuity, levator function, exophthalmos measurement, strabismus test, visual field examination, axial length measurement, OCT, OCTA are made.
Locations (1)
Juan Ye
Hangzhou, Zhejiang, China