Literature DB >> 16430386

Web-based screening for diabetic retinopathy in a primary care population: the EyeCheck project.

Michael D Abramoff1, Maria S A Suttorp-Schulten.   

Abstract

The objective of this study was to evaluate the feasibility of ATA category 2 Web-based screening for diabetic retinopathy in a primary care population in the Netherlands. A total of 1,676 patients in a primary care setting, with diabetes, without known diabetic retinopathy, and without previous screening by an ophthalmologist, were included between January 1 and December 31, 2003. Patients underwent a brief questionnaire and two field retinal photography. Photographs were independently read by two ophthalmologists. Outcome measures were gradability of the photographs, need for pharmacologic pupil dilation, assessment as suspect for presence of diabetic retinopathy, of neovascularization and of diabetic retinopathy, and agreement between graders. Of the population studied, 11.3% of patients required pupil dilation, average transmission time of images was 73 sec, 12.0% of patients had ungradable photographs, 10.4% of the patients with gradable photographs were assessed as "suspect for diabetic retinopathy," and 2.0% were assessed to need urgent referral. Red lesions were present in 3.5% and bright lesions were present in 1.6% of all gradable patients. Neovascularization of the disk was found in one patient. Type 1 patients had much higher rates of "suspect for diabetic retinopathy" (34.5%) than type 2 patients (9.4%). Interrater agreement kappa was 0.93. Web-based screening, using open source technology and uncompressed images, is feasible in a primary care setting, with a high rate of inter-rater agreement. Dilate-as-needed may be a sensible approach for retinal photography. The high incidence of "suspect for diabetic retinopathy" in type 1 diabetes patients illustrates that web-based diabetic retinopathy screening programs for these patients may detect diabetic retinopathy that would otherwise have gone undetected.

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Year:  2005        PMID: 16430386     DOI: 10.1089/tmj.2005.11.668

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  23 in total

Review 1.  Automated quality assessment of retinal fundus photos.

Authors:  Jan Paulus; Jörg Meier; Rüdiger Bock; Joachim Hornegger; Georg Michelson
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-05-19       Impact factor: 2.924

Review 2.  Retinal imaging and image analysis.

Authors:  Michael D Abràmoff; Mona K Garvin; Milan Sonka
Journal:  IEEE Rev Biomed Eng       Date:  2010

3.  The automatic detection of the optic disc location in retinal images using optic disc location regression.

Authors:  Michael D Abràmoff; Meindert Niemeijer
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2006

4.  Automated Quality Assessment of Colour Fundus Images for Diabetic Retinopathy Screening in Telemedicine.

Authors:  Sajib Kumar Saha; Basura Fernando; Jorge Cuadros; Di Xiao; Yogesan Kanagasingam
Journal:  J Digit Imaging       Date:  2018-12       Impact factor: 4.056

5.  Fast detection of the optic disc and fovea in color fundus photographs.

Authors:  Meindert Niemeijer; Michael D Abràmoff; Bram van Ginneken
Journal:  Med Image Anal       Date:  2009-09-04       Impact factor: 8.545

6.  A health insurance portability and accountability act-compliant ocular telehealth network for the remote diagnosis and management of diabetic retinopathy.

Authors:  Yaqin Li; Thomas P Karnowski; Kenneth W Tobin; Luca Giancardo; Scott Morris; Sylvia E Sparrow; Seema Garg; Karen Fox; Edward Chaum
Journal:  Telemed J E Health       Date:  2011-08-05       Impact factor: 3.536

7.  Telemedicine and Diabetic Retinopathy: Review of Published Screening Programs.

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

8.  Automated detection of diabetic retinopathy: barriers to translation into clinical practice.

Authors:  Michael D Abramoff; Meindert Niemeijer; Stephen R Russell
Journal:  Expert Rev Med Devices       Date:  2010-03       Impact factor: 3.166

9.  Automated early detection of diabetic retinopathy.

Authors:  Michael D Abràmoff; Joseph M Reinhardt; Stephen R Russell; James C Folk; Vinit B Mahajan; Meindert Niemeijer; Gwénolé Quellec
Journal:  Ophthalmology       Date:  2010-06       Impact factor: 12.079

10.  A review of web-assisted interventions for diabetes management: maximizing the potential for improving health outcomes.

Authors:  Linda Lockett Brown; Mia Liza A Lustria; Jenice Rankins
Journal:  J Diabetes Sci Technol       Date:  2007-11
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