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

NCT07124572 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 500

Last updated 2025-08-15

No results posted yet for this study

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.

Conditions

  • Thyroid Associated Ophthalmopathy

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.

Sponsors & Collaborators

  • Second Affiliated Hospital, School of Medicine, Zhejiang University

    lead OTHER

Eligibility

Min Age
7 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-10-01
Primary Completion
2030-10-01
Completion
2031-10-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07124572 on ClinicalTrials.gov