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Recruiting NCT07124572

Construction and Application of Precise Diagnosis and Treatment System for Thyroid-associated Ophthalmopathy

Observational Thyroid Associated Ophthalmopathy

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: Imaging and ocular examinations.
Who it may be relevant to
Registry conditions: Thyroid Associated Ophthalmopathy. Basic parameters: 7 years — 90 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
China
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

Overview

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.

Interventions

  • Other 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.

Primary outcome measures

  • eye morphological parameters [Time frame: through study completion, average of 5 years]
  • Blinking feature of patients with thyroid-associated ophthalmopathy [Time frame: through study completion, average of 5 years]
  • Ocular movement measurement [Time frame: through study completion, average of 5 years]
  • Automatic orbital structures segmentation and measurement using deep learning methods [Time frame: through study completion, average of 5 years]
  • Automatic diagnosis, grading, staging and prediction of patients with thyroid-associated ophthalmopathy [Time frame: through study completion, average of 5 years]
  • three-dimensional eye parameters [Time frame: through study completion, average of 5 years]

Eligibility criteria

Inclusion criteria

  • normal participants without eyelid disorders (control group)
  • patients with thyroid-associated ophthalmopathy (TAO group)
  • cooperative participants

Exclusion criteria

  • participants with pupil or cornea disorders
  • participants with history of eye injury

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: Yes

Study design

Observational model
Other

Study locations

China · 1 center
  • Juan Ye — Hangzhou

Identifiers

NCT: NCT07124572 · 2022-0592

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗