CTRI/2021/07/034809
尚未招募
未知
Evaluation of the accuracy of an automated algorithm for glaucoma detection from colour fundus photographs taken on a low- cost slit lamp based Remidio fundus-on-phone camera and a high-tech Topcon camera as compared to the gold standard clinical evaluation - a prospective study.
iverpool John Moores University and The Global Challenges Research Fund GCRF0 个研究点目标入组 0 人待定
概览
- 阶段
- 未知
- 干预措施
- 未指定
- 疾病 / 适应症
- Health Condition 1: H400- Glaucoma suspectHealth Condition 2: H401- Open-angle glaucomaHealth Condition 3: H408- Other glaucomaHealth Condition 4: H402- Primary angle-closure glaucoma
- 发起方
- iverpool John Moores University and The Global Challenges Research Fund GCRF
- 状态
- 尚未招募
- 最后更新
- 4年前
概览
简要总结
暂无简介。
研究者
入排标准
入选标准
- •1\.Glaucoma Group:
- •Any case of glaucoma with typical glaucomatous disc changes, confirmed by clinical evaluation and/or visual field test (as defined below).
- •2\.Normal Controls (including Ocular hypertension (OHT)) (as defined below)
- •3\.Disc suspects (as defined below)
- •4\.Reliable Visual field (false positive (FP), false negative (FN) \<20%)
排除标准
- •1\.Media opacity (corneal/lenticular/vitreous) preventing assessment of the optic disc
- •2\.Co\-existing retinal pathologies precluding view of disc
- •3\.Unreliable visual fields
- •4\.Shallow anterior chamber preventing dilation
结局指标
主要结局
未指定
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