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Web-based grading of compressed stereoscopic digital photography versus standard slide film photography for the diagnosis of diabetic retinopathy.

机译:基于网络的压缩立体数码摄影与标准幻灯片摄影的分级,用于诊断糖尿病性视网膜病变。

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PURPOSE: To evaluate the ability of Joint Photographic Experts Group (JPEG) compressed, stereoscopic, digital photography to identify clinical levels of diabetic retinopathy, detect clinically significant macular edema (CSME), and make appropriate referral recommendations as compared with Early Treatment Diabetic Retinopathy Study (ETDRS) standard film photography. DESIGN: Prospective, clinic-based, comparative photographic format validation study. PARTICIPANTS: Two hundred four eyes from 102 consecutive, new, diabetic patients with a median duration of diabetes of 12.5 years were enrolled and analyzed. METHODS: After pupillary dilation, a trained ophthalmic photographer obtained 2 sets of images: standard ETDRS, stereoscopic 7-field 35-mm film photographs and high-resolution, digital images of the same 7 standard fields (stereoscopic images of fields 1 and 2). Two masked readers graded both sets of images. The 35-mm film photographs were graded by hand using a written template. Digital photographs were compressed, uploaded to a web site, and graded by a web-based, computer-assisted ETDRS algorithm. The ETDRS level of diabetic retinopathy, presence of retinal thickening, and referral recommendation based on these 2 diagnoses were recorded and compared. MAIN OUTCOME MEASURES: The presence of CSME, ETDRS level of diabetic retinopathy, and referral threshold diabetic retinopathy. RESULTS: Film and compressed digital grading levels were compared using a simplified ETDRS categorization scheme. Film and digital gradings were highly correlated with exact agreements for level of diabetic retinopathy, CSME, and referral thresholds >87% and kappa levels >0.71. McNemar's testing found no statistically significant difference between compressed digital images and film when comparing referral thresholds (defined as the presence of CSME and/or ETDRS level > or = 61; P = 0.76). CONCLUSIONS: A modified ETDRS protocol (stereoscopic images of fields 1 and 2 only) with 16:1 JPEG image compression and computer-assisted ETDRS grading algorithm has excellent reproducibility when compared to standard ETDRS stereoscopic slide-film photography. An internet-based teleophthalmology system can correctly and reliably (kappa = 0.78) identify patients requiring referral for CSME and proliferative diabetic retinopathy (PDR; ETDRS level > or = 61).
机译:目的:评估联合图像专家组(JPEG)压缩,立体,数字摄影的能力,以鉴定糖尿病性视网膜病的临床水平,检测临床上显着的黄斑水肿(CSME)并提出与早期治疗糖尿病性视网膜病研究相比适当的推荐建议(ETDRS)标准胶片摄影。设计:基于临床的前瞻性比较照相格式验证研究。参与者:纳入并分析了102位连续的,新的糖尿病患者的244眼,其中糖尿病持续时间为12.5年。方法:瞳孔散大后,训练有素的眼科摄影师获得了2套图像:标准ETDRS,7场立体7毫米35毫米胶片照片和相同7个标准场的高分辨率数字图像(1和2场的立体图像) 。两个蒙版的读者对两组图像进行了评分。使用书面模板对35毫米胶片照片进行手工分级。数字照片被压缩,上传到网站,并通过基于网络的计算机辅助ETDRS算法进行分级。记录并比较了这两种诊断的糖尿病性视网膜病变的ETDRS水平,视网膜增厚的存在以及转诊建议。主要观察指标:存在CSME,糖尿病性视网膜病变的ETDRS水平以及糖尿病性视网膜病变的转诊阈值。结果:使用简化的ETDRS分类方案比较了电影和压缩的数字分级水平。电影和数字分级与糖尿病视网膜病变,CSME和转诊阈值> 87%和kappa水平> 0.71的确切协议高度相关。 McNemar的测试在比较推荐阈值(定义为存在CSME和/或ETDRS水平>或= 61; P = 0.76)时,发现压缩数字图像和胶卷之间在统计学上没有显着差异。结论:与标准ETDRS立体幻灯片胶片摄影相比,具有16:1 JPEG图像压缩和计算机辅助ETDRS分级算法的改进的ETDRS协议(仅字段1和2的立体图像)具有出色的可重复性。基于互联网的远程眼科系统可以正确可靠地(kappa = 0.78)识别需要转诊CSME和增生性糖尿病视网膜病变(PDR; ETDRS水平>或= 61)的患者。

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