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用于筛查威胁视力的糖尿病视网膜病变的手持式免散瞳眼底相机的照片质量预测因素

Predictors of Photographic Quality with a Handheld Nonmydriatic Fundus Camera Used for Screening of Vision-Threatening Diabetic Retinopathy.

作者信息

Davila Jose R, Sengupta Sabyasachi S, Niziol Leslie M, Sindal Manavi D, Besirli Cagri G, Upadhyaya Swati, Woodward Maria A, Venkatesh Rengaraj, Robin Alan L, Grubbs Joseph, Newman-Casey Paula Anne

机构信息

Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA.

出版信息

Ophthalmologica. 2017;238(1-2):89-99. doi: 10.1159/000475773. Epub 2017 Jul 5.

Abstract

PURPOSE

To analyze predictors of image quality for a handheld nonmydriatic fundus camera used for screening of vision-threatening diabetic retinopathy.

METHODS

An ophthalmic photographer at an Aravind Eye Hospital obtained nonmydriatic and mydriatic fundus images from 3 fields in 275 eyes of 155 participants over 13 months using a Smartscope camera (Optomed, Oulu, Finland) and a Topcon tabletop fundus camera (Topcon, Tokyo, Japan). Two fellowship-trained retina specialists graded the images. Repeated-measures logistic regression assessed predictors of the main outcome measure: gradability of the fundus images.

RESULTS

Of 2,475 images, 76.2% of the Smartscope nonmydriatic images, 90.1% of the Smartscope mydriatic images, and 92.0% of the Topcon mydriatic images were gradable. Eyes with vitreous hemorrhage (OR = 0.24, p < 0.0001) or advanced cataract (OR = 0.08, p < 0.0001) had decreased odds of image gradability. Excluding eyes with cataract or vitreous hemorrhage, nonmydriatic macular image gradability improved from 68.4% in the first set of 55 eyes to 94.6% in the final set of 55 eyes.

CONCLUSION

With sufficient training, paraprofessional health care staff can obtain high-quality images with a portable nonmydriatic fundus camera, particularly in patients with clear lenses and clear ocular media.

摘要

目的

分析用于筛查威胁视力的糖尿病视网膜病变的手持式免散瞳眼底相机图像质量的预测因素。

方法

在13个月的时间里,阿拉文德眼科医院的一名眼科摄影师使用Smartscope相机(芬兰奥卢Optomed公司)和拓普康台式眼底相机(日本东京拓普康公司),从155名参与者的275只眼中的3个视野获取了免散瞳和散瞳眼底图像。两名经过专科培训的视网膜专家对图像进行了分级。重复测量逻辑回归分析评估了主要结局指标的预测因素:眼底图像的可分级性。

结果

在2475张图像中,Smartscope免散瞳图像的76.2%、Smartscope散瞳图像的90.1%以及拓普康散瞳图像的92.0%是可分级的。存在玻璃体出血(比值比=0.24,p<0.0001)或晚期白内障(比值比=0.08,p<0.0001)的眼睛图像可分级的几率降低。排除患有白内障或玻璃体出血的眼睛后,免散瞳黄斑图像的可分级性从最初55只眼中的68.4%提高到最后55只眼中的94.6%。

结论

经过充分培训,非专业医护人员可以使用便携式免散瞳眼底相机获得高质量图像,尤其是在晶状体和眼内介质清晰的患者中。

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