JPRN-UMIN000036372已完成未知
Early diagnosis of keratoconus using test value by auto keratometer. - Early diagnosis of keratoconus using auto keratometer.
agoya Eye Clinic0 个研究点目标入组 328 人开始时间: 2019年4月1日最近更新:
适应症
试验速览
- 阶段
- 未知
- 状态
- 已完成
- 发起方
- 入组人数
- 328
研究概览
简要总结
Sensitivity and specificity of KKI were 85.0% and 86.7%, respectively.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 10years-old 至 ot applicable(—)
- 性别
- All
入选标准
- 未提供
排除标准
- •Patient who also have corneal disease other than keratoconus.
研究者
相似试验
已完成
不适用
Diagnostic Capacity of Keratoconus Match Index and Keratoconus Match Probability in Forme Fruste KeratoconusForme Fruste Keratoconus (FFK)NCT01654614Democritus University of Thrace120
已完成
不适用
Deep Learning for Classification of Scheimpflug Corneal Tomography ImagesEye DiseasesNCT04497207Assiut University1,669
已完成
不适用
Keratoconus Screening among Myopic Childremyopic childrenJPRN-UMIN000037273faulty of medicine ophthalmology dept174
已完成
不适用
Diagnostic Evaluation of Keratoconus Using Anterior Segment Optical Coherence Tomography and Machine Learning.KeratoconusJPRN-UMIN000034587Kitasato University300
Unknown
不适用
Development of a Keratoconus Detection Algorithm by Deep Learning Analysis and Its Validation on Eyestar ImagesEye DiseasesCorneal EctasiaCataractKeratoconusNCT04763785Insel Gruppe AG, University Hospital Bern4,800
