Assessing eyelid features and blinking using deep learning
Department of Ophthalmology
This study is testing a new way to use technology to better understand eyelid shapes and blinking patterns in order to help people with eyelid problems.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 500 (estimated) |
| Sex | All |
| Sponsor | Second Affiliated Hospital, School of Medicine, Zhejiang University Academic / other |
| Locations | 1 site (Hangzhou, Zhejiang) |
| Trial ID | NCT04921020 on ClinicalTrials.gov |
What this trial studies
This observational study aims to evaluate eyelid topology and kinetics by utilizing deep learning methods to automatically extract features related to eyelid structure and blinking behavior. It will analyze parameters such as margin reflex distance, eyelid contour, and corneal exposure area, as well as blinking frequency, velocity, and duration. The goal is to predict subtypes of levator function and enhance the assessment of eyelid conditions through advanced technology.
Who should consider this trial
Good fit: Ideal candidates include normal volunteers and patients diagnosed with blepharoptosis, blepharospasm, dry eye disease, or Graves' disease.
Not a fit: Patients with variable ptosis, entropion, ectropion, enophthalmos, exophthalmos, strabismus, or pupil abnormalities may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to improved diagnostic methods for eyelid diseases and better patient management.
How similar studies have performed: While the use of deep learning in medical assessments is gaining traction, this specific approach to eyelid topology and kinetics is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. normal volunteers without eyelid diseases 2. patients with blepharoptosis 3. patients with blepharospasm 4. patients with dry eye disease 5. patients with Graves' disease Exclusion Criteria: variable ptosis (e.g., myasthenia gravis), entropion, ectropion, enophthalmos, exophthalmos, strabismus, and abnormalities of pupil
Where this trial is running
Hangzhou, Zhejiang
- Juan Ye — Hangzhou, Zhejiang, China (Recruiting)
Study contacts
- Study coordinator: Juan Ye
- Email: yejuan@zju.edu.cn
- Phone: +86-571-87783897
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.