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

Zhejiang University

Status: Enrolling

Conditions: Thyroid Associated Ophthalmopathy

Treatments: Other: Imaging and ocular examinations

Study type: Observational

Funder types: Other

Identifiers

NCT07124572

2022-0592

Details and patient eligibility

About

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.

Enrollment: 500 estimated patients

Sex: All

Ages: 7 to 90 years old

Volunteers: Accepts Healthy Volunteers

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

Trial design

500 participants in 2 patient groups

Participants without Thyroid-associated ophthalmopathy

Description:

Participants without thyroid-associated ophthalmopathy based on Bartley criteria.

Treatment:

Other: Imaging and ocular examinations

Patients with Thyroid-associated ophthalmopathy

Description:

Patients diagnosed as thyroid-associated ophthalmopathy based on Bartley criteria.

Treatment:

Other: Imaging and ocular examinations