Literature DB >> 26830491

Retinal Imaging Techniques for Diabetic Retinopathy Screening.

James Kang Hao Goh1, Carol Y Cheung2, Shaun Sebastian Sim3, Pok Chien Tan3, Gavin Siew Wei Tan3, Tien Yin Wong4.   

Abstract

Due to the increasing prevalence of diabetes mellitus, demand for diabetic retinopathy (DR) screening platforms is steeply increasing. Early detection and treatment of DR are key public health interventions that can greatly reduce the likelihood of vision loss. Current DR screening programs typically employ retinal fundus photography, which relies on skilled readers for manual DR assessment. However, this is labor-intensive and suffers from inconsistency across sites. Hence, there has been a recent proliferation of automated retinal image analysis software that may potentially alleviate this burden cost-effectively. Furthermore, current screening programs based on 2-dimensional fundus photography do not effectively screen for diabetic macular edema (DME). Optical coherence tomography is becoming increasingly recognized as the reference standard for DME assessment and can potentially provide a cost-effective solution for improving DME detection in large-scale DR screening programs. Current screening techniques are also unable to image the peripheral retina and require pharmacological pupil dilation; ultra-widefield imaging and confocal scanning laser ophthalmoscopy, which address these drawbacks, possess great potential. In this review, we summarize the current DR screening methods using various retinal imaging techniques, and also outline future possibilities. Advances in retinal imaging techniques can potentially transform the management of patients with diabetes, providing savings in health care costs and resources.
© 2016 Diabetes Technology Society.

Entities:  

Keywords:  diabetic retinopathy; imaging; retina; screening

Mesh:

Year:  2016        PMID: 26830491      PMCID: PMC4773981          DOI: 10.1177/1932296816629491

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  132 in total

1.  In vivo adaptive optics microvascular imaging in diabetic patients without clinically severe diabetic retinopathy.

Authors:  Stephen A Burns; Ann E Elsner; Toco Y Chui; Dean A Vannasdale; Christopher A Clark; Thomas J Gast; Victor E Malinovsky; Anh-Danh T Phan
Journal:  Biomed Opt Express       Date:  2014-02-27       Impact factor: 3.732

2.  The efficacy of automated "disease/no disease" grading for diabetic retinopathy in a systematic screening programme.

Authors:  S Philip; A D Fleming; K A Goatman; S Fonseca; P McNamee; G S Scotland; G J Prescott; P F Sharp; J A Olson
Journal:  Br J Ophthalmol       Date:  2007-05-15       Impact factor: 4.638

Review 3.  Diabetes in Asia: epidemiology, risk factors, and pathophysiology.

Authors:  Juliana C N Chan; Vasanti Malik; Weiping Jia; Takashi Kadowaki; Chittaranjan S Yajnik; Kun-Ho Yoon; Frank B Hu
Journal:  JAMA       Date:  2009-05-27       Impact factor: 56.272

Review 4.  Optical coherence tomography (OCT) for detection of macular oedema in patients with diabetic retinopathy.

Authors:  Gianni Virgili; Francesca Menchini; Giovanni Casazza; Ruth Hogg; Radha R Das; Xue Wang; Manuele Michelessi
Journal:  Cochrane Database Syst Rev       Date:  2015-01-07

5.  Retinal vascular calibre as a predictor of incidence and progression of diabetic retinopathy.

Authors:  Jie Ding; M Kamran Ikram; Carol Y Cheung; Tien Yin Wong
Journal:  Clin Exp Optom       Date:  2012-03-21       Impact factor: 2.742

6.  Swept-source OCT angiography of the retinal vasculature using intensity differentiation-based optical microangiography algorithms.

Authors:  Yanping Huang; Qinqin Zhang; Mariana R Thorell; Lin An; Mary K Durbin; Michal Laron; Utkarsh Sharma; Giovanni Gregori; Philip J Rosenfeld; Ruikang K Wang
Journal:  Ophthalmic Surg Lasers Imaging Retina       Date:  2014 Sep-Oct       Impact factor: 1.300

7.  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

8.  Effect of a teleretinal screening program on eye care use and resources.

Authors:  Joel E Chasan; Bill Delaune; April Y Maa; Mary G Lynch
Journal:  JAMA Ophthalmol       Date:  2014-09       Impact factor: 7.389

9.  Cost-effectiveness of implementing automated grading within the national screening programme for diabetic retinopathy in Scotland.

Authors:  G S Scotland; P McNamee; S Philip; A D Fleming; K A Goatman; G J Prescott; S Fonseca; P F Sharp; J A Olson
Journal:  Br J Ophthalmol       Date:  2007-06-21       Impact factor: 4.638

10.  Effective pupil dilatation with a mixture of 0.75% tropicamide and 2.5% phenylephrine: A randomized controlled trial.

Authors:  Adisak Trinavarat; Auengporn Pituksung
Journal:  Indian J Ophthalmol       Date:  2009 Sep-Oct       Impact factor: 1.848

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  34 in total

Review 1.  Update on Screening for Sight-Threatening Diabetic Retinopathy.

Authors:  Peter H Scanlon
Journal:  Ophthalmic Res       Date:  2019-05-27       Impact factor: 2.892

2.  Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application.

Authors:  Valentina Bellemo; Gilbert Lim; Tyler Hyungtaek Rim; Gavin S W Tan; Carol Y Cheung; SriniVas Sadda; Ming-Guang He; Adnan Tufail; Mong Li Lee; Wynne Hsu; Daniel Shu Wei Ting
Journal:  Curr Diab Rep       Date:  2019-07-31       Impact factor: 4.810

3.  QUANTITATIVE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY FEATURES FOR OBJECTIVE CLASSIFICATION AND STAGING OF DIABETIC RETINOPATHY.

Authors:  Minhaj Alam; Yue Zhang; Jennifer I Lim; Robison V P Chan; Min Yang; Xincheng Yao
Journal:  Retina       Date:  2018-10-31       Impact factor: 4.256

Review 4.  Diabetic Eye Screening: Knowledge and Perspectives from Providers and Patients.

Authors:  Yao Liu; Rebecca Swearingen
Journal:  Curr Diab Rep       Date:  2017-08-31       Impact factor: 4.810

5.  The Relationship of Retinal Vessel Geometric Characteristics to the Incidence and Progression of Diabetic Retinopathy.

Authors:  Ronald Klein; Kristine E Lee; Lorraine Danforth; Michael Y Tsai; Ronald E Gangnon; Stacy E Meuer; Tien Y Wong; Carol Y Cheung; Barbara E K Klein
Journal:  Ophthalmology       Date:  2018-05-18       Impact factor: 12.079

Review 6.  Review of retinal cameras for global coverage of diabetic retinopathy screening.

Authors:  Ramachandran Rajalakshmi; Vijayaraghavan Prathiba; Subramanian Arulmalar; Manoharan Usha
Journal:  Eye (Lond)       Date:  2020-11-09       Impact factor: 3.775

7.  Assessment of retinal neurodegeneration with spectral-domain optical coherence tomography: a systematic review and meta-analysis.

Authors:  Ziqi Tang; Ming Yan Chan; Wai Yin Leung; Ho Yeung Wong; Ching Man Ng; Victor T T Chan; Raymond Wong; Jerry Lok; Simon Szeto; Jason C K Chan; Clement C Tham; Tien Y Wong; Carol Y Cheung
Journal:  Eye (Lond)       Date:  2020-06-24       Impact factor: 3.775

8.  QUANTITATIVE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY FEATURES FOR OBJECTIVE CLASSIFICATION AND STAGING OF DIABETIC RETINOPATHY.

Authors:  Minhaj Alam; Yue Zhang; Jennifer I Lim; Robison V P Chan; Min Yang; Xincheng Yao
Journal:  Retina       Date:  2020-02       Impact factor: 3.975

9.  A Multitask Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multicenter Analysis.

Authors:  Fangyao Tang; Xi Wang; An-Ran Ran; Carmen K M Chan; Mary Ho; Wilson Yip; Alvin L Young; Jerry Lok; Simon Szeto; Jason Chan; Fanny Yip; Raymond Wong; Ziqi Tang; Dawei Yang; Danny S Ng; Li Jia Chen; Marten Brelén; Victor Chu; Kenneth Li; Tracy H T Lai; Gavin S Tan; Daniel S W Ting; Haifan Huang; Haoyu Chen; Jacey Hongjie Ma; Shibo Tang; Theodore Leng; Schahrouz Kakavand; Suria S Mannil; Robert T Chang; Gerald Liew; Bamini Gopinath; Timothy Y Y Lai; Chi Pui Pang; Peter H Scanlon; Tien Yin Wong; Clement C Tham; Hao Chen; Pheng-Ann Heng; Carol Y Cheung
Journal:  Diabetes Care       Date:  2021-07-27       Impact factor: 17.152

Review 10.  Machine learning in optical coherence tomography angiography.

Authors:  David Le; Taeyoon Son; Xincheng Yao
Journal:  Exp Biol Med (Maywood)       Date:  2021-07-19
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