Assessment of Eyelid Topology and Kinetics Based on Deep Learning Method

Eyelid Diseases Clinical Trial

Official title:

Department of Ophthalmology

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT04921020
• Other study ID #: 2020-485
• Status: Recruiting
• Start date: August 1, 2020
• Est. completion date: August 1, 2026

Study information

• Verified date: June 2021
• Source: Second Affiliated Hospital, School of Medicine, Zhejiang University
• Contact: Juan Ye
• Phone: +86-571-87783897
• Email: yejuan[@]zju.edu.cn
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

This study plans to assess eyelid topology (such as margin reflex distance, eyelid contour, and corneal exposure area) and blinking (such as frequency, velocity, and duration), using deep learning method to automatically extract eyelid topological features, and to predict subtypes of levator function, using deep learning method to extract blinking features, in order to provide new ideas and means to assess eyelid topology and kinetics.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 500
• Est. completion date: August 1, 2026
• Est. primary completion date: August 1, 2025
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: N/A and older

Eligibility

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

Related Conditions & MeSH terms

• Eyelid Diseases

Intervention

Other:
• Photography
Facial photographs and blinking videos are taken

Locations

Country	Name	City	State
China	Juan Ye	Hangzhou	Zhejiang

Sponsors (1)

Lead Sponsor	Collaborator
Second Affiliated Hospital, School of Medicine, Zhejiang University

Country where clinical trial is conducted

China, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	one-dimensional parameters of eyelid topology	Palpebral fissure length [Margin reflex distance 1, Margin reflex distance 2], Lid length [Upper lid length, Lower lid length], Multiple mid-pupil lid distances	through study completion, 5 years
Primary	two-dimensional parameters of eyelid topology	Palpebral fissure area [Medial area, Corneal area, Lateral area]	through study completion, 5 years
Primary	subtypes of levator function	Levator function is classified into three categories: good, fair and poor	through study completion, 5 years