Assessment of Eyelid Topology and Kinetics Based on Deep Learning Method
- Conditions
- Eyelid Diseases
- Interventions
- Other: Photography
- Registration Number
- NCT04921020
- Lead Sponsor
- Second Affiliated Hospital, School of Medicine, Zhejiang University
- 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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 500
- normal volunteers without eyelid diseases
- patients with blepharoptosis
- patients with blepharospasm
- patients with dry eye disease
- patients with Graves' disease
variable ptosis (e.g., myasthenia gravis), entropion, ectropion, enophthalmos, exophthalmos, strabismus, and abnormalities of pupil
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Patients with Graves' disease Photography - Patients with blepharospasm Photography - Normal participants Photography - Patients with dry eye disease Photography - Patients with blepharoptosis Photography -
- Primary Outcome Measures
Name Time Method subtypes of levator function through study completion, 5 years Levator function is classified into three categories: good, fair and poor
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 \[Medial area, Corneal area, Lateral area\]
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Juan Ye
🇨🇳Hangzhou, Zhejiang, China