Journal
JOURNAL OF CLINICAL MEDICINE
Volume 11, Issue 9, Pages -Publisher
MDPI
DOI: 10.3390/jcm11092352
Keywords
diabetic retinopathy; screening; fundus photography; handheld fundus camera; diabetic maculopathy; hypertensive retinopathy; diabetes mellitus; Optomed Aurora; concordance coefficient
Categories
Funding
- Fondazione Roma
- Ministry of Health
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The aim of this study was to validate the performance of the Optomed Aurora(R) handheld fundus camera in diabetic retinopathy (DR) screening. The results showed that the Aurora (R) performed well in detecting and grading DR, diabetic maculopathy (DM), and hypertensive retinopathy (HR) with comparable results to a standard table-top fundus camera. Therefore, the Aurora (R) can be integrated into telemedicine solutions and artificial intelligence services, making it particularly suitable for DR screening.
The aim of the study was to validate the performance of the Optomed Aurora (R) handheld fundus camera in diabetic retinopathy (DR) screening. Patients who were affected by diabetes mellitus and referred to the local DR screening service underwent fundus photography using a standard table-top fundus camera and the Optomed Aurora (R) handheld fundus camera. All photos were taken by a single, previously unexperienced operator. Among 423 enrolled eyes, we found a prevalence of 3.55% and 3.31% referable cases with the Aurora (R) and with the standard table-top fundus camera, respectively. The Aurora (R) obtained a sensitivity of 96.9% and a specificity of 94.8% in recognizing the presence of any degree of DR, a sensitivity of 100% and a specificity of 99.8% for any degree of diabetic maculopathy (DM) and a sensitivity of 100% and specificity of 99.8% for referable cases. The overall concordance coefficient k (95% CI) was 0.889 (0.828-0.949) and 0.831 (0.658-1.004) with linear weighting for DR and DM, respectively. The presence of hypertensive retinopathy (HR) was recognized by the Aurora (R) with a sensitivity and specificity of 100%. The Optomed Aurora (R) handheld fundus camera proved to be effective in recognizing referable cases in a real-life DR screening setting. It showed comparable results to a standard table-top fundus camera in DR, DM and HR detection and grading. The Aurora (R) can be integrated into telemedicine solutions and artificial intelligence services which, in addition to its portability and ease of use, make it particularly suitable for DR screening.
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