NCT04497207已完成不适用
Classification of Color-Coded Scheimpflug Camera Corneal Tomography Images Using Deep Learning
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 1,669
- 试验地点
- 1
- 主要终点
- Croppedm denoised, and resized to obtain four separate image stacks of 256×256 pixels
研究概览
简要总结
Keratoconus is a common disorder. An early diagnosis influences the disease prognosis in the affected patients and prevents postoperative complications in patients with keratoconus considering refractive surgery. Machine learning approaches have been widely used for image classification. Here, we will assess the ability of deep learning to enable high-performance image classification of the color-coded corneal maps obtained by Scheimpflug camera in patients with keratoconus, subclinical keratoconus, and normal individuals.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 45 Years（Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Keratoconus group:
- •Presence of a central protrusion of the cornea with Fleischer ring, Vogt striae, or both by slitlamp examination.
- •irregular cornea determined by distorted keratometry mires and distortion of retinoscopic red reflex or both in addition to the following topographic findings as summarized by Pińero and colleagues :
- •focal steepening located in a zone of protrusion surrounded by concentrically decreasing power zones
- •focal areas with diopteric (D) values >47.0D
- •inferior- superior(I-S) asymmetry measured to be > 1.4 D
- •Angling of the hemimeridians in an asymmetric or broken bowtie pattern with skewing of the steepest radial axis(SRAX) .
- •Suspicious group:
- •Defined as subtle corneal tomographic changes as the aforementioned keratoconus abnormalities in the absence of slit- lamp or visual acuity changes typical of keratoconus (forme fruste keratoconus).
- •Normal group:
- •Refractive surgery candidates
- •Refractive error of less than 8.0 D sphere
- •Less than 3.0 D of astigmatism
- •without clinical, topographic or tomographic signs of keratoconus or suspect keratoconus.
排除标准
- •Systemic disease
- •Other corneal disease such as pellucid marginal degeneration
- •History of trauma
- •Corneal surgery such as corneal cross- linking for progressive keratoconus.
结局指标
主要结局
Croppedm denoised, and resized to obtain four separate image stacks of 256×256 pixels
时间窗: 2 days
次要结局
未报告次要终点
研究者
Khaled Abdelazeem
Associate professor of Ophthalmology
Assiut University
研究点 (1)
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