Development and Validation of a Diabetic Retinopathy Referral Algorithm Based on Single-Field Fundus Photography
- PMID: 27661981
- PMCID: PMC5035083
- DOI: 10.1371/journal.pone.0163108
Development and Validation of a Diabetic Retinopathy Referral Algorithm Based on Single-Field Fundus Photography
Abstract
Purpose: To develop a simplified algorithm to identify and refer diabetic retinopathy (DR) from single-field retinal images specifically for sight-threatening diabetic retinopathy for appropriate care (ii) to determine the agreement and diagnostic accuracy of the algorithm as a pilot study among optometrists versus "gold standard" (retinal specialist grading).
Methods: The severity of DR was scored based on colour photo using a colour coded algorithm, which included the lesions of DR and number of quadrants involved. A total of 99 participants underwent training followed by evaluation. Data of the 99 participants were analyzed. Fifty posterior pole 45 degree retinal images with all stages of DR were presented. Kappa scores (κ), areas under the receiver operating characteristic curves (AUCs), sensitivity and specificity were determined, with further comparison between working optometrists and optometry students.
Results: Mean age of the participants was 22 years (range: 19-43 years), 87% being women. Participants correctly identified 91.5% images that required immediate referral (κ) = 0.696), 62.5% of images as requiring review after 6 months (κ = 0.462), and 51.2% of those requiring review after 1 year (κ = 0.532). The sensitivity and specificity of the optometrists were 91% and 78% for immediate referral, 62% and 84% for review after 6 months, and 51% and 95% for review after 1 year, respectively. The AUC was the highest (0.855) for immediate referral, second highest (0.824) for review after 1 year, and 0.727 for review after 6 months criteria. Optometry students performed better than the working optometrists for all grades of referral.
Conclusions: The diabetic retinopathy algorithm assessed in this work is a simple and a fairly accurate method for appropriate referral based on single-field 45 degree posterior pole retinal images.
Conflict of interest statement
The authors have declared that no competing interests exist.
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References
-
- Olson JA, Strachan FM, Hipwell JH, Goatman KA, McHardy KC, Forrester JV, et al. A comparative evaluation of digital imaging, retinal photography and optometrist examination in screening for diabetic retinopathy. Diabet Med. 2003; 20: 528–534. - PubMed
-
- The Liverpool Declaration. Royal Liverpool University Hospital, Liverpool. Screening for diabetic retinopathy in Europe 15 years after the St. Vincent declaration. 2005. Available: http://reseauophdiat.aphp.fr/Document/Doc/confliverpool.pdf. Accessed 24 October 2015.
-
- Rani PK, Raman R, Agarwal S, Paul PG, Uthra S, Margabandhu G, et al. Diabetic retinopathy screening model for rural population: awareness and screening methodology. Rural Remote Health. 2005; 5: 350 - PubMed
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