Diagnostic Accuracy of Non-Mydriatic Fundus Camera as a Screening Tool for Diabetic Retinopathy

Abstract

Objective: To determine the diagnostic accuracy of non-mydriatic fundus camera for the detection of diabetic retinopathy.

Study design: It was a descriptive  Cross-Sectional study design.

Place and duration of study: The study was conducted in ophthalmology department of Holy Family Hospital from April 2023 to September 2023.

Material and Methods: The study was started on 1st April 2023. All the patients were referred to the diabetic room of eye OPD of Holy Family Hospital Rawalpindi for the regular checkup for vision. These patients with decreased vision were sample of for current study. The patients having above mentioned anomalies were exposed to diagnostic criteria. Total of 50 patients were sampled for research studies. The data was collected on a Performa specifically designed for research studies. Detailed examination was done of the patient starting from assessment of visual acuity, objective and fundus examination.

Results: The results of studies shown that among of total 50 patients that were selected as sample size, various stages of diabetic retinopathy were observed. Out of 50 patients, NPDR was observed in 10 patients that was 20% of total sampled , PDR in 20 patients (40%) and CSME in 8 patients (16%). 12 of the patients (24%) did not present any diabetic changes upon Fundoscopy. DR was seen to be more common in females (60%) than in males (40%). Upon fundal examination, dull macular reflex was detected in 25 patients (50%). Vitreous hemorrhage was seen in 15 patients (30%).

Conclusion: Fundus camera is an indispensable instrument that facilitates intricate imaging of the posterior portion of the eye, encompassing the retina, optic disc, macula, and blood vessels. A dependable screening method for identifying and referring patients with diabetic retinopathy to an ophthalmologist for additional assessment and treatment is the non-mydriatic fundus camera.

Keywords: Diabetic retinopathy, non-proliferative diabetic retinopathy, proliferative diabetic retinopathy, 90D lens, fundus camera.

 

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References

Piyasena MM, Yip JL, MacLeod D, Kim M, Gudlavalleti VS. Diagnostic test accuracy of diabetic retinopathy screening by physician graders using a hand-held non-mydriatic retinal camera at a tertiary level medical clinic. BMC ophthalmology. 2019 Dec;19:1-3.

Reza AW, Eswaran C. A decision support system for automatic screening of non-proliferative diabetic retinopathy. Journal of medical systems. 2011 Feb;35:17-24.

Chaudhary S, Zaveri J, Becker N. Proliferative diabetic retinopathy (PDR). Disease-a-Month. 2021 May 1;67(5):101140.

Zhang X, Saaddine JB, Chou CF, Cotch MF, Cheng YJ, Geiss LS, Gregg EW, Albright AL, Klein BE, Klein R. Prevalence of diabetic retinopathy in the United States, 2005-2008. Jama. 2010 Aug 11;304(6):649-56.

Meyerle CB, Chew EY, Ferris FL. Nonproliferative diabetic retinopathy. Diabetic retinopathy. 2008:3-27.

Wu L, Fernandez-Loaiza P, Sauma J, Hernandez-Bogantes E, Masis M. Classification of diabetic retinopathy and diabetic macular edema. World journal of diabetes. 2013 Dec 12;4(6):290.

Yau JW, Rogers SL, Kawasaki R, Lamoureux EL, Kowalski JW, Bek T, Chen SJ, Dekker JM, Fletcher A, Grauslund J, Haffner S. Global prevalence and major risk factors of diabetic retinopathy. Diabetes care. 2012 Mar 1;35(3):556-64.

Rajalakshmi R, Prathiba V, Arulmalar S, Usha M. Review of retinal cameras for global coverage of diabetic retinopathy screening. Eye. 2021 Jan;35(1):162-72.

Abdelsalam MM. Effective blood vessels reconstruction methodology for early detection and classification of diabetic retinopathy using OCTA images by artificial neural network. Informatics in Medicine Unlocked. 2020 Jan 1;20:100390.

Palermo BJ, D'Amico SL, Kim BY, Brady CJ. Sensitivity and specificity of handheld fundus cameras for eye disease: a systematic review and pooled analysis. Survey of Ophthalmology. 2022 Sep 1;67(5):1531-9.

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Copyright (c) 2023 Ali Abbas, Sehrish Akram, Saba Ghalib, Hadia Iqbal , Duaa Waseem , Mutahir Shah