Assessment of Eyelid Topology and Kinetics Based on Deep Learning Method

Sponsor

Second Affiliated Hospital, School of Medicine, Zhejiang University (Other)

Overall Status

Recruiting

CT.gov ID

NCT04921020

Collaborator

(none)

500

Enrollment

Location

Anticipated Duration (Months)

6.9

Patients Per Site Per Month

Study Details

Study Description

Brief 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.

Condition or Disease	Intervention/Treatment	Phase
Eyelid Diseases	Other: Photography

Study Design

Study Type:

Observational

Anticipated Enrollment :

500 participants

Observational Model:

Other

Time Perspective:

Cross-Sectional

Official Title:

Department of Ophthalmology

Actual Study Start Date :

Aug 1, 2020

Anticipated Primary Completion Date :

Aug 1, 2025

Anticipated Study Completion Date :

Aug 1, 2026

Arms and Interventions

Arm	Intervention/Treatment
Normal participants	Other: Photography Facial photographs and blinking videos are taken
Patients with blepharoptosis	Other: Photography Facial photographs and blinking videos are taken
Patients with blepharospasm	Other: Photography Facial photographs and blinking videos are taken
Patients with dry eye disease	Other: Photography Facial photographs and blinking videos are taken
Patients with Graves' disease	Other: Photography Facial photographs and blinking videos are taken

Outcome Measures

Primary Outcome Measures

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

Eligibility Criteria

Criteria

Ages Eligible for Study:

N/A and Older

Sexes Eligible for Study:

All

Accepts Healthy Volunteers:

Yes

Inclusion Criteria:

normal volunteers without eyelid diseases
patients with blepharoptosis
patients with blepharospasm
patients with dry eye disease
patients with Graves' disease

Exclusion Criteria:

variable ptosis (e.g., myasthenia gravis), entropion, ectropion, enophthalmos, exophthalmos, strabismus, and abnormalities of pupil

Contacts and Locations

Locations

	Site	City	State	Country	Postal Code
1	Juan Ye	Hangzhou	Zhejiang	China	310000

Sponsors and Collaborators

Second Affiliated Hospital, School of Medicine, Zhejiang University

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.

Responsible Party:

Second Affiliated Hospital, School of Medicine, Zhejiang University

ClinicalTrials.gov Identifier:

NCT04921020

Other Study ID Numbers:

2020-485

First Posted:

Jun 10, 2021

Last Update Posted:

Jun 10, 2021

Last Verified:

Jun 1, 2021

Studies a U.S. FDA-regulated Drug Product:

Studies a U.S. FDA-regulated Device Product:

Additional relevant MeSH terms:

Eyelid Diseases

Study Results

No Results Posted as of Jun 10, 2021