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Diabetes Care, 2002
OBJECTIVE—Detecting and grading of diabetic retinopathy (DR) by means of digital retinal images s... more OBJECTIVE—Detecting and grading of diabetic retinopathy (DR) by means of digital retinal images sent via the Internet. RESEARCH DESIGN AND METHODS—Four nonstereoscopic digital retinal images (45° field each) of 126 eye fundus images from 70 diabetic patients were obtained with a nonmydriatic camera at two peripheral units. The images were sent via the Internet using a web-based system to a reference center, where they were diagnosed and graded by one ophthalmologist. These results were compared with those obtained by two other ophthalmologists, one at each peripheral unit, after direct examination of the patients. A modified severity scale of Airlie House was used for grading DR in all cases. Agreement between observers was assessed using unweighted κ for categorical data and the intraclass correlation coefficient (ICC) for continuous data. RESULTS—Presence of DR was detected in 69 eyes (55%). All eyes with DR (69 of 69, 100%) were correctly identified (κ = 1) by inspecting the digi...
Diabetes Care, 2002
OBJECTIVE—Detecting and grading of diabetic retinopathy (DR) by means of digital retinal images s... more OBJECTIVE—Detecting and grading of diabetic retinopathy (DR) by means of digital retinal images sent via the Internet. RESEARCH DESIGN AND METHODS—Four nonstereoscopic digital retinal images (45° field each) of 126 eye fundus images from 70 diabetic patients were obtained with a nonmydriatic camera at two peripheral units. The images were sent via the Internet using a web-based system to a reference center, where they were diagnosed and graded by one ophthalmologist. These results were compared with those obtained by two other ophthalmologists, one at each peripheral unit, after direct examination of the patients. A modified severity scale of Airlie House was used for grading DR in all cases. Agreement between observers was assessed using unweighted κ for categorical data and the intraclass correlation coefficient (ICC) for continuous data. RESULTS—Presence of DR was detected in 69 eyes (55%). All eyes with DR (69 of 69, 100%) were correctly identified (κ = 1) by inspecting the digi...