Yogesan K, Constable I J, Barry C J, Eikelboom R H, McAllister I L, Tay-Kearney M L
Lions Eye Institute, Centre for Ophthalmology and Visual Science, The University of Western Australia, Nedlands, Australia.
Telemed J. 2000 Summer;6(2):219-23. doi: 10.1089/107830200415153.
The objective was to evaluate digital images of the retina from a handheld fundus camera (Nidek NM-100) for suitability in telemedicine screening of diabetic retinopathy. A handheld fundus camera (Nidek) and a standard fundus camera (Zeiss) were used to photograph 49 eyes from 25 consecutive patients attending our diabetic clinic. One patient had cataracts, making it impossible to get a quality image of one of the eyes (retina). The Nidek images were digitized, compressed, and stored in a Fujix DF-10M digitizer supplied with the camera. The digital images and the photographs were presented separately in a random order to three ophthalmologists. The quality of the images was ranked as good, acceptable or unacceptable for diabetic retinopathy diagnosis. The images were also evaluated for the presence of microaneurysms, blot hemorrhages, exudates, fibrous tissue, previous photocoagulation, and new vessel formation. kappa Values were computed for agreement between the photographs and digital images. Overall agreement between the photographs and digital images was poor (kappa < 0.30). On average, only 24% of the digital images were graded as being good quality and 56% as having an acceptable quality. However, 93% of the photographs were graded as good-quality images for diagnosis. The results indicate that the digital images from the handheld fundus camera may not be suitable for diagnosis of diabetic retinopathy. The images shown on the liquid crystal display (LCD) screen of the camera were of good quality. However, the images produced by the digitizer (Fujix DF-10M) attached to the camera were not as good as the images shown on the LCD screen. A better digitizing system may produce better quality images from the Nidek camera.
目的是评估一款手持眼底相机（尼德克NM - 100）所拍摄的视网膜数字图像，以确定其是否适用于糖尿病视网膜病变的远程医疗筛查。使用一款手持眼底相机（尼德克）和一款标准眼底相机（蔡司），对连续25名前来我们糖尿病诊所就诊的患者的49只眼睛进行拍照。其中一名患者患有白内障，导致无法获取其中一只眼睛（视网膜）的高质量图像。尼德克相机拍摄的图像被数字化、压缩，并存储在相机附带的富士DF - 10M数字转换器中。数字图像和照片以随机顺序分别呈现给三位眼科医生。这些图像的质量被评定为对糖尿病视网膜病变诊断而言是良好、可接受或不可接受。还对图像中微动脉瘤、点状出血、渗出物、纤维组织、既往光凝治疗以及新生血管形成的情况进行了评估。计算照片和数字图像之间一致性的kappa值。照片和数字图像之间的总体一致性较差（kappa < 0.30）。平均而言，只有24%的数字图像被评为高质量，56%被评为质量可接受。然而，93%的照片被评为诊断用的高质量图像。结果表明，手持眼底相机拍摄的数字图像可能不适用于糖尿病视网膜病变的诊断。相机液晶显示屏（LCD）上显示的图像质量良好。然而，相机所连接的数字转换器（富士DF - 10M）生成的图像不如LCD屏幕上显示的图像。一个更好的数字化系统可能会使尼德克相机生成质量更好的图像。
