Construction and Application of Precise Diagnosis and Treatment System for Thyroid-associated Ophthalmopathy
Second Affiliated Hospital, School of Medicine, Zhejiang University
500 participants
Oct 1, 2022
OBSERVATIONAL
Conditions
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.
Eligibility
Inclusion Criteria3
- normal participants without eyelid disorders (control group)
- patients with thyroid-associated ophthalmopathy (TAO group)
- cooperative participants
Exclusion Criteria2
- participants with pupil or cornea disorders
- participants with history of eye injury
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Interventions
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)
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NCT07124572