Literature DB >> 15688971

Comparison of a digital retinal imaging system and seven-field stereo color fundus photography to detect diabetic retinopathy in the primary care environment.

Rhett M Schiffman1, Gordon Jacobsen, Julian J Nussbaum, Uday R Desai, J David Carey, David Glasser, Ingrid E Zimmer-Galler, Ran Zeimer, Morton F Goldberg.   

Abstract

BACKGROUND AND
OBJECTIVE: Because patients with diabetes mellitus may visit their primary care physician regularly but not their ophthalmologist, a retinal risk assessment in the primary care setting could improve the screening rate for diabetic retinopathy. An imaging system for use in the primary care setting to identify diabetic retinopathy requiring referral to an ophthalmologist was evaluated. PATIENTS AND METHODS: In a masked prospective study, images were obtained from 11 patients with diabetes mellitus using both the digital retinal imaging system and seven-field stereo color fundus photography. The ability to obtain gradable images and to identify diabetic retinal lesions was compared.
RESULTS: Of all images, 85% of digital retinal imaging system images and 88% of seven-field images were gradable. Agreement based on "no retinopathy" versus "any retinopathy" was excellent (Kappa = 0.96). Agreement based on "microaneurysms or less retinopathy" versus "retinal hemorrhages or worse retinopathy" was very good (Kappa = 0.83).
CONCLUSIONS: The agreement between the digital retinal imaging system and seven-field photography indicates that the digital retinal imaging system may be useful to screen for diabetic retinopathy.

Entities:  

Mesh:

Year:  2005        PMID: 15688971

Source DB:  PubMed          Journal:  Ophthalmic Surg Lasers Imaging        ISSN: 1542-8877


  9 in total

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Authors:  Kevin Tozer; Maria A Woodward; Paula A Newman-Casey
Journal:  J Endocrinol Diabetes       Date:  2015-11-11

Review 2.  Operational Components of Telemedicine Programs for Diabetic Retinopathy.

Authors:  Mark B Horton; Paolo S Silva; Jerry D Cavallerano; Lloyd Paul Aiello
Journal:  Curr Diab Rep       Date:  2016-12       Impact factor: 4.810

Review 3.  Clinical Components of Telemedicine Programs for Diabetic Retinopathy.

Authors:  Mark B Horton; Paolo S Silva; Jerry D Cavallerano; Lloyd Paul Aiello
Journal:  Curr Diab Rep       Date:  2016-12       Impact factor: 4.810

4.  EyePACS: an adaptable telemedicine system for diabetic retinopathy screening.

Authors:  Jorge Cuadros; George Bresnick
Journal:  J Diabetes Sci Technol       Date:  2009-05-01

5.  Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis.

Authors:  Meindert Niemeijer; Bram van Ginneken; Stephen R Russell; Maria S A Suttorp-Schulten; Michael D Abràmoff
Journal:  Invest Ophthalmol Vis Sci       Date:  2007-05       Impact factor: 4.799

Review 6.  Telemedicine for detecting diabetic retinopathy: a systematic review and meta-analysis.

Authors:  Lili Shi; Huiqun Wu; Jiancheng Dong; Kui Jiang; Xiting Lu; Jian Shi
Journal:  Br J Ophthalmol       Date:  2015-01-06       Impact factor: 4.638

7.  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

8.  Assessment of Training Outcomes of Nurse Readers for Diabetic Retinopathy Telescreening: Validation Study.

Authors:  Marie Carole Boucher; Michael Trong Duc Nguyen; Jenny Qian
Journal:  JMIR Diabetes       Date:  2020-04-07

9.  Cost-effectiveness and diagnostic accuracy of telemedicine in macular disease and diabetic retinopathy: A systematic review and meta-analysis.

Authors:  Waqas Ullah; Sana Khan Pathan; Ankur Panchal; Swapna Anandan; Kaiser Saleem; Yasar Sattar; Ejaz Ahmad; Maryam Mukhtar; Haq Nawaz
Journal:  Medicine (Baltimore)       Date:  2020-06-19       Impact factor: 1.817

  9 in total

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