Assessment of Eyelid Topology and Kinetics Based on Deep Learning Method

NCT04921020 | Recruiting

• 1 other identifier: 2020-485
• Study Type: observational
• Target: 500
• Locations: 1 country
• Sites: 1

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.

Conditions

Eyelid Diseases

Outcome Measures

Primary Outcomes (3)

• 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

• two-dimensional parameters of eyelid topology

  Palpebral fissure area \[Medial area, Corneal area, Lateral area\]

  through study completion, 5 years

• subtypes of levator function

  Levator function is classified into three categories: good, fair and poor

  through study completion, 5 years

Study Arms (5)

Normal participants

Other: Photography

Patients with blepharoptosis

Other: Photography

Patients with blepharospasm

Other: Photography

Patients with dry eye disease

Other: Photography

Patients with Graves' disease

Other: Photography

Interventions

Photography OTHER

Facial photographs and blinking videos are taken

Normal participants; Patients with Graves' disease; Patients with blepharoptosis; Patients with blepharospasm; Patients with dry eye disease

Eligibility Criteria

• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

100 normal volunteers without eyelid diseases 100 patients with blepharoptosis 100 patients with blepharospasm 100 patients with dry eye disease 100 patients with Graves' disease

You may qualify if:

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

You may not qualify if:

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

Sponsors & Collaborators

• Second Affiliated Hospital, School of Medicine, Zhejiang University: lead

Study Sites (1)

Juan Ye

Hangzhou, Zhejiang, 310000, China

RECRUITING

MeSH Terms

Conditions

Eyelid Diseases

Interventions

Photography

Condition Hierarchy (Ancestors)

Eye Diseases

Intervention Hierarchy (Ancestors)

Diagnostic Imaging; Diagnostic Techniques and Procedures; Diagnosis; Investigative Techniques

Central Study Contacts

Juan Ye

CONTACT

+86-571-87783897; yejuan@zju.edu.cn

Lixia Lou

CONTACT

+86-15088681589; loulixia110@zju.edu.cn

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: June 1, 2021
• First Posted: June 10, 2021
• Study Start: August 1, 2020
• Primary Completion: August 1, 2025
• Study Completion (Estimated): August 1, 2026
• Last Updated: June 10, 2021

Record last verified: 2021-06

Locations

CN (1)