Literature DB >> 8414411

The diagnosis of diabetic retinopathy. Ophthalmoscopy versus fundus photography.

V S Lee1, R M Kingsley, E T Lee, M Lu, D Russell, N R Asal, R H Bradford, C P Wilkinson.   

Abstract

PURPOSE: To compare fundus photography with ophthalmoscopy in the detection of diabetic retinopathy.
METHODS: Ophthalmoscopy and fundus photographs with a nonmydriatic camera, both performed through dilated pupils, were compared to diagnose retinopathy in a cohort of 410 Oklahoma Indians with noninsulin-dependent diabetes mellitus. A total of 795 eyes were examined using both methods. The mean age of participants was 60.3 years, with a mean duration of diabetes of 17.3 years.
RESULTS: An overall agreement of 86.3% with a kappa statistic kappa of 0.74 was found between ophthalmoscopy and fundus photography with a nonmydriatic camera. For the diagnosis of proliferative diabetic retinopathy, kappa = 0.84 with an agreement of 98.1%. With a total of 61 cases of proliferative retinopathy diagnosed by either method in our study, ophthalmoscopy alone detected 88.5% and fundus photography, 78.7%. When compared on a lesion-by-lesion basis, agreement between the two diagnostic methods was highest for nonproliferative retinopathy, as well as fibrous proliferation.
CONCLUSION: The fundus photography with a nonmydriatic camera, performed with mydriasis, is comparable to ophthalmoscopy for the detection of retinopathy. It may prove to be a suitable, cost-effective method for routine screening in diabetes clinics, provided ophthalmologic referral is ensured for those with a diagnosis of any form of retinopathy, questionable retinopathy, nondiabetic retinopathy, those with poor quality photographs, as well as those with acute changes in visual acuity.

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Year:  1993        PMID: 8414411     DOI: 10.1016/s0161-6420(93)31449-1

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  11 in total

1.  Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images.

Authors:  C Sinthanayothin; J F Boyce; H L Cook; T H Williamson
Journal:  Br J Ophthalmol       Date:  1999-08       Impact factor: 4.638

Review 2.  The cost-effectiveness of three screening alternatives for people with diabetes with no or early diabetic retinopathy.

Authors:  David B Rein; John S Wittenborn; Xinzhi Zhang; Benjamin A Allaire; Michael S Song; Ronald Klein; Jinan B Saaddine
Journal:  Health Serv Res       Date:  2011-04-14       Impact factor: 3.402

3.  Feasibility study on computer-aided screening for diabetic retinopathy.

Authors:  Apichart Singalavanija; Jirayuth Supokavej; Parapan Bamroongsuk; Chanjira Sinthanayothin; Suthee Phoojaruenchanachai; Viravud Kongbunkiat
Journal:  Jpn J Ophthalmol       Date:  2006 Jul-Aug       Impact factor: 2.447

4.  The Hong Kong vision study: a pilot assessment of visual impairment in adults.

Authors:  M R Van Newkirk
Journal:  Trans Am Ophthalmol Soc       Date:  1997

5.  Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool.

Authors:  G G Gardner; D Keating; T H Williamson; A T Elliott
Journal:  Br J Ophthalmol       Date:  1996-11       Impact factor: 4.638

6.  Telemedical diagnosis of retinopathy of prematurity: accuracy of expert versus non-expert graders.

Authors:  Steven L Williams; Lu Wang; Steven A Kane; Thomas C Lee; David J Weissgold; Audina M Berrocal; Daniel Rabinowitz; Justin Starren; John T Flynn; Michael F Chiang
Journal:  Br J Ophthalmol       Date:  2009-12-02       Impact factor: 4.638

7.  Adding retinal photography to screening for diabetic retinopathy: a prospective study in primary care.

Authors:  J P O'Hare; A Hopper; C Madhaven; M Charny; T S Purewell; B Harney; J Griffiths
Journal:  BMJ       Date:  1996-03-16

8.  SDOCT imaging to identify macular pathology in patients diagnosed with diabetic maculopathy by a digital photographic retinal screening programme.

Authors:  Sarah Mackenzie; Christian Schmermer; Amanda Charnley; Dawn Sim; Martin Dumskyj; Stephen Nussey; Catherine Egan
Journal:  PLoS One       Date:  2011-05-06       Impact factor: 3.240

9.  Venous beading in two or more quadrants might not be a sensitive grading criterion for severe nonproliferative diabetic retinopathy.

Authors:  Ling Chen; Xiongze Zhang; Feng Wen
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2018-04-06       Impact factor: 3.117

10.  Strategies to Screen for Diabetic Retinopathy in Chinese Patients with Newly Diagnosed Type 2 Diabetes: A Cost-Effectiveness Analysis.

Authors:  Bin Wu; Jin Li; Haixiang Wu
Journal:  Medicine (Baltimore)       Date:  2015-11       Impact factor: 1.817

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