主页 文献库文献详情
PMID: 25998983 已发表 · ppublish 英语

Diagnostic accuracy of disorganization of the retinal inner layers in detecting macular capillary non-perfusion in diabetic retinopathy.

Clinical & experimental ophthalmology ·第 43 卷 ·第 8 期 ·2016-05-24

Nicholson Luke, Ramu Jayashree, Triantafyllopoulou Ioanna, Patrao Namritha V, Comyn Oliver, Hykin Philip, Sivaprasad Sobha

摘要

Disorganization of the retinal inner layers (DRIL) on optical coherence tomography (OCT) is thought to represent retinal capillary non-perfusion (CNP) in eyes with diabetic retinopathy. This study was designed to evaluate the ability of DRIL to accurately predict CNP.,Retrospective masked reliability and diagnostic accuracy study performed in the National Institute for Health Research (NIHR) Moorfields Biomedical Research Centre, London, UK SAMPLES: Retinal images of patients with diabetic retinopathy,The OCT images from 90 separate areas of angiographically confirmed perfused and non-perfused areas of the macula from 37 eyes of 31 patients were anonymized and coded. Two masked graders independently graded these OCT scans for the presence or absence of DRIL to determine the intergrader reliability. The diagnostic accuracy of DRIL in identifying CNP was evaluated from the results obtained.,Sensitivity and specificity of DRIL in accurately detecting CNP RESULTS: The intergrader agreement was high with a Cohen's kappa of 0.909. DRIL was present in 84.4% (38/45) of non-perfused retina and none in perfused retina (0/45). The sensitivity and specificity of DRIL in detecting angiographic evidence of CNP was 84.4% and 100%, respectively. The positive predictive value was 100% and the negative predictive value was 86.5%.,The presence of DRIL is a reliable predictor of areas of macular CNP. However, DRIL is not a universal finding of non-perfusion, with some cases exhibiting absence of DRIL despite angiographic CNP.

关键词
diabetic retinopathy diagnostic study retinal-imaging
文献信息
期刊
Clinical & experimental ophthalmology
期刊简称
Clin Exp Ophthalmol
发表日期
2016-05-24
收录日期
2015-10-27
更新日期
2016-08-31
语言
英语
国家/地区
Australia
NLM ID
100896531
分析服务
分析服务

联系地址

山东省济南市章丘区文博路2号

齐鲁师范学院 genelibs生信实验室

山东省济南市高新区舜华路750号

大学科技园北区F座4单元2楼

电话: 0531-88819269

微信公众号

关注微信订阅号,实时查看信息,关注医学生物学动态。


商务邮箱

E-mail: [email protected]