Department of Ophthalmology
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 500
- 试验地点
- 1
- 主要终点
- subtypes of levator function
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Cross Sectional
入排标准
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •normal volunteers without eyelid diseases
- •patients with blepharoptosis
- •patients with blepharospasm
- •patients with dry eye disease
- •patients with Graves' disease
排除标准
- •variable ptosis (e.g., myasthenia gravis), entropion, ectropion, enophthalmos, exophthalmos, strabismus, and abnormalities of pupil
结局指标
主要结局
subtypes of levator function
时间窗: through study completion, 5 years
Levator function is classified into three categories: good, fair and poor
one-dimensional parameters of eyelid topology
时间窗: 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
时间窗: through study completion, 5 years
Palpebral fissure area \[Medial area, Corneal area, Lateral area\]
次要结局
未报告次要终点