Literature DB >> 25712110

Telemedical diabetic retinopathy screening in Hungary: a pilot programme.

Dorottya Szabó1, Orsolya Fiedler1, Anikó Somogyi2, Gábor Márk Somfai1, Zsolt Bíró1, Veronika Ölvedy1, Zsófia Hargitai1, János Németh3.   

Abstract

Our aim was to introduce the Hungarian pilot telemedical screening program for diabetic retinopathy (DRP) and also to evaluate the efficacy of non-mydriatic fundus photographs. A total of 502 eyes of 251 diabetic patients were photographed with a non-mydriatic digital fundus camera in a tertiary diabetology care center. These three 45°-field images were transmitted to the reading center via Internet, where they were graded by two independent ophthalmologists. After non-mydriatic photography (NM method), 28 patients were also examined in mydriasis by an ophthalmologist (O method) and were also photographed in mydriasis (M method). For the comparison of the three methods the kappa statistic was used. With non-mydriatic imaging of 502 eyes no retinopathy was found in 74.5%, DRP was detected in 15.5%, while 10.1% of the photos were ungradable. The rates of DRP severity levels were: 13.55% mild/moderate non-proliferative, 0.59% severe and 1.39% proliferative DRP. Comparing the results of the gradable non-mydriatic photos by the two independent graders, perfect intergrader agreement was found (k = 1.00). The measure of intermethod agreement between NM and M method was also perfect, with a kappa value of 1.00 (grader A and grader B). Based on the results of the O method, there were no misdiagnosed cases nor with the NM-, neither with the M method. Non-mydriatic cameras could be ideal tools of an extended countrywide retinopathy screening program which may serve to reduce the high prevalence of diabetes-related blindness in Hungary.
© The Author(s) 2015 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

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Year:  2015        PMID: 25712110     DOI: 10.1177/1357633X15572712

Source DB:  PubMed          Journal:  J Telemed Telecare        ISSN: 1357-633X            Impact factor:   6.184


  3 in total

1.  Assessment of image quality on color fundus retinal images using the automatic retinal image analysis.

Authors:  Chuying Shi; Jack Lee; Gechun Wang; Xinyan Dou; Fei Yuan; Benny Zee
Journal:  Sci Rep       Date:  2022-06-21       Impact factor: 4.996

2.  Use of the Monocyte-to-Lymphocyte Ratio to Predict Diabetic Retinopathy.

Authors:  Song Yue; Jiahua Zhang; Jingyang Wu; Weiping Teng; Lei Liu; Lei Chen
Journal:  Int J Environ Res Public Health       Date:  2015-08-21       Impact factor: 3.390

3.  Image quality and diagnostic accuracy of a handheld nonmydriatic fundus camera: Feasibility of a telemedical approach in screening retinal diseases.

Authors:  Tai-Chi Lin; Yueh-Hua Chiang; Chih-Lu Hsu; Long-Sheng Liao; Yi-Ying Chen; Shih-Jen Chen
Journal:  J Chin Med Assoc       Date:  2020-10       Impact factor: 3.396

  3 in total

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