Literature DB >> 16681452

Diabetic retinopathy: the unmet needs for screening and a review of potential solutions.

Stephen H Sinclair1.   

Abstract

Diabetic retinopathy remains the leading cause of severe vision loss and blindness in the developed world, in spite of recognized ocular treatments that are successful at reducing the rate of vision impairment. Retinal photography appears a promising method to perform screening in such a setting utilizing new 45 degrees + retinal cameras that do not require pupil dilation and can be operated by a trained, nonophthalmic technician. Certain developments may make the photography more successful including the conversion to electronic chip camera sensors that allow each picture as it is taken to be immediately projected onto a monitor for evaluation and assessment. Utilizing a nonmydriatic camera, studies of single-field photography through a dilated pupil have demonstrated superior or equal sensitivity to fundus examination by an ophthalmologist in a number of studies. However, photography without pupil dilation, especially in the older age group may result in poor-quality photographs owing to intense bilateral pupil constriction after the first images and also due to the presence of cataracts. Computer analysis of the retinal images allows extraction of quantitative data, not only of the diabetic lesions but also of vascular changes that, up until now, have been impossible by human grading and potentially allows a much more detailed and quantitative evaluation of the progression of retinopathy over time. When success of image processing algorithms is demonstrated for a large number of images taken under screening conditions, the benefits of retinal photography and image processing to provide timely, reliable, quantitative and cost-effective results, will make this the preferred method over physician examination or human grader evaluation of the images.

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Year:  2006        PMID: 16681452     DOI: 10.1586/17434440.3.3.301

Source DB:  PubMed          Journal:  Expert Rev Med Devices        ISSN: 1743-4440            Impact factor:   3.166


  7 in total

1.  Artificial intelligence-based screening for diabetic retinopathy at community hospital.

Authors:  Jie He; Tingyi Cao; Feiping Xu; Shasha Wang; Haiqi Tao; Tao Wu; Liyan Sun; Jili Chen
Journal:  Eye (Lond)       Date:  2019-08-27       Impact factor: 3.775

2.  Statistics of optical coherence tomography data from human retina.

Authors:  Norberto Mauricio Grzywacz; Joaquín de Juan; Claudia Ferrone; Daniela Giannini; David Huang; Giorgio Koch; Valentina Russo; Ou Tan; Carlo Bruni
Journal:  IEEE Trans Med Imaging       Date:  2010-03-18       Impact factor: 10.048

3.  Effect of smoking on circulating angiogenic factors in high risk pregnancies.

Authors:  Arun Jeyabalan; Robert W Powers; Rebecca G Clifton; Peter Van Dorsten; John C Hauth; Mark A Klebanoff; Marshall D Lindheimer; Baha Sibai; Mark Landon; Menachem Miodovnik
Journal:  PLoS One       Date:  2010-10-12       Impact factor: 3.240

Review 4.  Screening and public health strategies for diabetic retinopathy in the Eastern Mediterranean region.

Authors:  Rajiv Khandekar
Journal:  Middle East Afr J Ophthalmol       Date:  2012 Apr-Jun

5.  Crowdsourcing as a novel technique for retinal fundus photography classification: analysis of images in the EPIC Norfolk cohort on behalf of the UK Biobank Eye and Vision Consortium.

Authors:  Danny Mitry; Tunde Peto; Shabina Hayat; James E Morgan; Kay-Tee Khaw; Paul J Foster
Journal:  PLoS One       Date:  2013-08-21       Impact factor: 3.240

6.  Diabetic Retinopathy-An Underdiagnosed and Undertreated Inflammatory, Neuro-Vascular Complication of Diabetes.

Authors:  Stephen H Sinclair; Stanley S Schwartz
Journal:  Front Endocrinol (Lausanne)       Date:  2019-12-13       Impact factor: 5.555

7.  Testing the performance of risk prediction models to determine progression to referable diabetic retinopathy in an Irish type 2 diabetes cohort.

Authors:  John J Smith; David M Wright; Irene M Stratton; Peter Henry Scanlon; Noemi Lois
Journal:  Br J Ophthalmol       Date:  2021-04-26       Impact factor: 5.908

  7 in total

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