Literature DB >> 12802350

Is screening with digital imaging using one retinal view adequate?

H M Herbert1, K Jordan, D W Flanagan.   

Abstract

PURPOSE: To compare the detection of diabetic retinopathy from digital images with slit-lamp biomicroscopy, and to determine whether British Diabetic Association (BDA) screening criteria are attained (>80% sensitivity, >95% specificity, &<5% technical failure).
METHODS: Diabetics referred for screening were studied in a prospective fashion. A single 45 degrees fundus image was obtained using the nonmydriatic digital camera. Each patient subsequently underwent slit-lamp biomicroscopy and diabetic retinopathy grading by a consultant ophthalmologist. Diabetic retinopathy and maculopathy was graded according to the Early Treatment of Diabetic Retinopathy Study.
RESULTS: A total of 145 patients (288 eyes) were identified for screening. Of these, 26% of eyes had diabetic retinopathy, and eight eyes (3%) had sight-threatening diabetic retinopathy requiring treatment. The sensitivity for detection of any diabetic retinopathy was 38% and the specificity 95%. There was a 4% technical failure rate. There were 42/288 false negatives and 10/288 false positives. Of the 42 false negatives, 18 represented diabetic maculopathy, 20 represented peripheral diabetic retinopathy and four eyes had both macular and peripheral changes. Three eyes in the false-negative group (1% of total eyes) had sight-threatening retinopathy. There was good concordance between the two consultants (79% agreement on slit-lamp biomicroscopy and 84% on digital image interpretation).
CONCLUSION: The specificity value and technical failure rate compare favourably with BDA guidelines. The low sensitivity for detection of any retinopathy reflects failure to detect minimal maculopathy and retinopathy outside the 45 degrees image. This could be improved by an additional nasal image and careful evaluation of macular images with a low threshold for slit-lamp biomicroscopy if image quality is poor.

Entities:  

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Year:  2003        PMID: 12802350     DOI: 10.1038/sj.eye.6700409

Source DB:  PubMed          Journal:  Eye (Lond)        ISSN: 0950-222X            Impact factor:   3.775


  12 in total

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2.  The impact of the Health Technology Board for Scotland's grading model on referrals to ophthalmology services.

Authors:  S Philip; L M Cowie; J A Olson
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3.  Screening for vision-threatening diabetic retinopathy in South India: comparing portable non-mydriatic and standard fundus cameras and clinical exam.

Authors:  S Sengupta; M D Sindal; C G Besirli; S Upadhyaya; R Venkatesh; L M Niziol; A L Robin; M A Woodward; P A Newman-Casey
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4.  [Diagnosis, therapy and follow up of diabetic eye disease].

Authors:  Michael Stur; Stefan Egger; Anton Haas; Gerhard Kieselbach; Stefan Mennel; Reinhard Michl; Michael Roden; Ulrike Stolba; Andreas Wedrich
Journal:  Wien Klin Wochenschr       Date:  2012-12       Impact factor: 1.704

5.  Predictors of Photographic Quality with a Handheld Nonmydriatic Fundus Camera Used for Screening of Vision-Threatening Diabetic Retinopathy.

Authors:  Jose R Davila; Sabyasachi S Sengupta; Leslie M Niziol; Manavi D Sindal; Cagri G Besirli; Swati Upadhyaya; Maria A Woodward; Rengaraj Venkatesh; Alan L Robin; Joseph Grubbs; Paula Anne Newman-Casey
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6.  Comparison between binocular indirect ophthalmoscopy and digital retinography for diabetic retinopathy screening: the multicenter Brazilian Type 1 Diabetes Study.

Authors:  Fernando Korn Malerbi; Paulo Henrique Morales; Michel Eid Farah; Karla Rezende Guerra Drummond; Tessa Cerqueira Lemos Mattos; André Araújo Pinheiro; Felipe Mallmann; Ricardo Vessoni Perez; Franz Schubert Lopes Leal; Marília Brito Gomes; Sergio Atala Dib
Journal:  Diabetol Metab Syndr       Date:  2015-12-21       Impact factor: 3.320

7.  The diagnostic accuracy of single- and five-field fundus photography in diabetic retinopathy screening by primary care physicians.

Authors:  Parinya Srihatrai; Thanita Hlowchitsieng
Journal:  Indian J Ophthalmol       Date:  2018-01       Impact factor: 1.848

8.  Detection of diabetic macular oedema: validation of optical coherence tomography using both foveal thickness and intraretinal fluid.

Authors:  Carmen Hernández-Martínez; Antonio Palazón-Bru; Cesar Azrak; Aída Navarro-Navarro; Manuel Vicente Baeza-Díaz; José Juan Martínez-Toldos; Vicente Francisco Gil-Guillén
Journal:  PeerJ       Date:  2015-11-10       Impact factor: 2.984

9.  Spectropathology-corroborated multimodal quantitative imaging biomarkers for neuroretinal degeneration in diabetic retinopathy.

Authors:  Arpan Guha Mazumder; Swarnadip Chatterjee; Saunak Chatterjee; Juan Jose Gonzalez; Swarnendu Bag; Sambuddha Ghosh; Anirban Mukherjee; Jyotirmoy Chatterjee
Journal:  Clin Ophthalmol       Date:  2017-11-22

10.  Validity of Optical Coherence Tomography as a Diagnostic Method for Diabetic Retinopathy and Diabetic Macular Edema.

Authors:  Cesar Azrak; Manuel Vicente Baeza-Díaz; Antonio Palazón-Bru; Carmen Hernández-Martínez; Aída Navarro-Navarro; José Juan Martínez-Toldos; Vicente Francisco Gil-Guillén
Journal:  Medicine (Baltimore)       Date:  2015-09       Impact factor: 1.817

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