Literature DB >> 10794249

Colour slides or digital photography in diabetes screening--a comparison.

M Henricsson1, C Karlsson, L Ekholm, P Kaikkonen, A Sellman, E Steffert, M Tyrberg.   

Abstract

PURPOSE: The aim of this study was to compare digital images with slides in detecting and grading diabetic retinopathy, and to assess the retinopathy screening performed by ophthalmic nurses.
METHOD: 283 consecutive patients were examined using digital colour and redfree photography (Topcon Imagenet System 1.53) and 35 mm slides (Topcon TRC-50 VT fundus camera, Kodachrome 64 colour film). The images were graded by the worst eye according to the Wisconsin classification by an ophthalmologist and ophthalmic nurse independently.
RESULTS: There was exact agreement between grades obtained from the colour slides and the digital colour images in 82% (weighted kappa 0.88; 95% CI 0.80-0.96), and in 85% when redfree images were used as an adjunct to the digital colour images There was a tendency towards undergrading of the digital colour images and overgrading of the digital redfree images, compared with the colour slides. Inter- and intragrader agreement (weighted kappa) varied between 0.77 and 0.84 for digital photography and between 0.88 and 0.90 for colour slides
CONCLUSION: Good to excellent agreement was found between the grading of colour slides and digital colour images, the latter, however, associated with a slightly lower reliability. The adjunct of redfree images seemed to facilitate the detection of retinopathic lesions.

Entities:  

Mesh:

Year:  2000        PMID: 10794249     DOI: 10.1034/j.1600-0420.2000.078002164.x

Source DB:  PubMed          Journal:  Acta Ophthalmol Scand        ISSN: 1395-3907


  11 in total

1.  [Fundus screening by medical technicians].

Authors:  F Schütt; T Bruckner; K Schäfer; D Lehnhoff; G Rudofsky; C Kasperk; P Nawroth; G U Auffarth
Journal:  Ophthalmologe       Date:  2013-02       Impact factor: 1.059

2.  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

3.  Detection of diabetic retinopathy: a comparison between red-free digital images and colour transparencies.

Authors:  Gunvor von Wendt; Paula Summanen; Kerstin Hallnäs; Peep Algvere; Kauko Heikkilä; Stefan Seregard
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2004-11-30       Impact factor: 3.117

4.  Quality of nonmydriatic digital fundus photography obtained by nurse practitioners in the emergency department: the FOTO-ED study.

Authors:  Cédric Lamirel; Beau B Bruce; David W Wright; Kevin P Delaney; Nancy J Newman; Valérie Biousse
Journal:  Ophthalmology       Date:  2012-01-03       Impact factor: 12.079

Review 5.  Progress towards automated diabetic ocular screening: a review of image analysis and intelligent systems for diabetic retinopathy.

Authors:  T Teng; M Lefley; D Claremont
Journal:  Med Biol Eng Comput       Date:  2002-01       Impact factor: 2.602

6.  The accuracy of digital-video retinal imaging to screen for diabetic retinopathy: an analysis of two digital-video retinal imaging systems using standard stereoscopic seven-field photography and dilated clinical examination as reference standards.

Authors:  Mary Gilbert Lawrence
Journal:  Trans Am Ophthalmol Soc       Date:  2004

7.  Assessing diabetic retinopathy using two-field digital photography and the influence of JPEG-compression.

Authors:  Catharina Stellingwerf; Peter L L J Hardus; Johanna M M Hooymans
Journal:  Doc Ophthalmol       Date:  2004-05       Impact factor: 2.379

8.  Systematic review and meta-analysis of diagnostic accuracy of detection of any level of diabetic retinopathy using digital retinal imaging.

Authors:  Mapa Mudiyanselage Prabhath Nishantha Piyasena; Gudlavalleti Venkata S Murthy; Jennifer L Y Yip; Clare Gilbert; Tunde Peto; Iris Gordon; Suwin Hewage; Sureshkumar Kamalakannan
Journal:  Syst Rev       Date:  2018-11-07

9.  Diagnostic test accuracy of diabetic retinopathy screening by physician graders using a hand-held non-mydriatic retinal camera at a tertiary level medical clinic.

Authors:  Mapa Mudiyanselage Prabhath Nishantha Piyasena; Jennifer L Y Yip; David MacLeod; Min Kim; Venkata S Murthy Gudlavalleti
Journal:  BMC Ophthalmol       Date:  2019-04-08       Impact factor: 2.086

10.  Development and Validation of a Diabetic Retinopathy Screening Modality Using a Hand-Held Nonmydriatic Digital Retinal Camera by Physician Graders at a Tertiary-Level Medical Clinic: Protocol for a Validation Study.

Authors:  Mapa Mudiyanselage Prabhath Nishantha Piyasena; Venkata S Murthy Gudlavalleti; Clare Gilbert; Jennifer Ly Yip; Tunde Peto; David MacLeod; Charith Fonseka; Aruna Kulatunga; Bgwmkcb Bandutilake; Mangala Dhanapala; Lalani Pathirana; Heshani Dissanayake
Journal:  JMIR Res Protoc       Date:  2018-12-10
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