Diabetic retinopathy screening using digital non‐mydriatic fundus photography and automated image analysis

. Purpose:  To investigate the use of automated image analysis for the detection of diabetic retinopathy (DR) in fundus photographs captured with and without pharmacological pupil dilation using a digital non‐mydriatic camera. Methods:  A total of 83 patients (165 eyes) with type 1 or type 2 diabete...

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Veröffentlicht in:Acta ophthalmologica Scandinavica 2004-12, Vol.82 (6), p.666-672
Hauptverfasser: Hansen, Anja B., Hartvig, Niels V., Jensen, Maja S., Borch‐Johnsen, Knut, Lund‐Andersen, Henrik, Larsen, Michael
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Sprache:eng
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Zusammenfassung:. Purpose:  To investigate the use of automated image analysis for the detection of diabetic retinopathy (DR) in fundus photographs captured with and without pharmacological pupil dilation using a digital non‐mydriatic camera. Methods:  A total of 83 patients (165 eyes) with type 1 or type 2 diabetes, representing the full spectrum of DR, were photographed with and without pharmacological pupil dilation using a digital non‐mydriatic camera. Two sets of five overlapping, non‐stereoscopic, 45‐degree field images of each eye were obtained. All images were graded in a masked fashion by two readers according to ETDRS standards and disagreements were settled by an independent adjudicator. Automated detection of red lesions as well as image quality control was made: detection of a single red lesion or insufficient image quality was categorized as possible DR. Results:  At patient level, the automated red lesion detection and image quality control combined demonstrated a sensitivity of 89.9% and specificity of 85.7% in detecting DR when used on images captured without pupil dilation, and a sensitivity of 97.0% and specificity of 75.0% when used on images captured with pupil dilation. For moderate non‐proliferative or more severe DR the sensitivity was 100% for images captured both with and without pupil dilation. Conclusion:  Our results demonstrate that the described automated image analysis system, which detects the presence or absence of DR, can be used as a first‐step screening tool in DR screening with considerable effectiveness.
ISSN:1395-3907
1600-0420
DOI:10.1111/j.1600-0420.2004.00350.x