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Automated detection of diabetic retinopathy lesions on ultrawidefield pseudocolour images
Author(s) -
Wang Kang,
Jayadev Chaitra,
Nittala Muneeswar G.,
Velaga Swetha B.,
Ramachandra Chaithanya A.,
Bhaskaranand Malavika,
Bhat Sandeep,
Solanki Kaushal,
Sadda SriniVas R.
Publication year - 2018
Publication title -
acta ophthalmologica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.534
H-Index - 87
eISSN - 1755-3768
pISSN - 1755-375X
DOI - 10.1111/aos.13528
Subject(s) - diabetic retinopathy , medicine , ophthalmology , optometry , retinopathy , computer science , diabetes mellitus , endocrinology
Purpose We examined the sensitivity and specificity of an automated algorithm for detecting referral‐warranted diabetic retinopathy ( DR ) on Optos ultrawidefield ( UWF ) pseudocolour images. Methods Patients with diabetes were recruited for UWF imaging. A total of 383 subjects (754 eyes) were enrolled. Nonproliferative DR graded to be moderate or higher on the 5‐level International Clinical Diabetic Retinopathy (ICDR) severity scale was considered as grounds for referral. The software automatically detected DR lesions using the previously trained classifiers and classified each image in the test set as referral‐warranted or not warranted. Sensitivity, specificity and the area under the receiver operating curve ( AUROC ) of the algorithm were computed. Results The automated algorithm achieved a 91.7%/90.3% sensitivity (95% CI 90.1–93.9/80.4–89.4) with a 50.0%/53.6% specificity (95% CI 31.7–72.8/36.5–71.4) for detecting referral‐warranted retinopathy at the patient/eye levels, respectively; the AUROC was 0.873/0.851 (95% CI 0.819–0.922/0.804–0.894). Conclusion Diabetic retinopathy (DR) lesions were detected from Optos pseudocolour UWF images using an automated algorithm. Images were classified as referral‐warranted DR with a high degree of sensitivity and moderate specificity. Automated analysis of UWF images could be of value in DR screening programmes and could allow for more complete and accurate disease staging.