Literature DB >> 15121388

Single-field fundus photography for diabetic retinopathy screening: a report by the American Academy of Ophthalmology.

George A Williams, Ingrid U Scott, Julia A Haller, Albert M Maguire, Dennis Marcus, H Richard McDonald.   

Abstract

OBJECTIVE: To evaluate whether single-field fundus photography can be used as a screening tool to identify diabetic retinopathy for referral for further ophthalmic care.
METHODS: A MEDLINE search of the peer-reviewed literature was conducted in June 2001 for the years 1968 to 2001 and updated in September 2003, yielding 145 articles. The search was limited to articles published in English. The Cochrane Library of clinical trials was also investigated. The authors reviewed the abstracts of these articles and selected 63 of possible clinical relevance for review by the panel. Of these 63 articles, the panel selected 32 for the panel methodologist to review and rate according to the strength of evidence.
RESULTS: Three of the 32 articles reviewed were classified as level I evidence, and 4 were classified as level II evidence. Evidence from level I studies demonstrates that as a tool to detect vision-threatening retinopathy, single-field fundus photography interpreted by trained readers has sensitivity ranging from 61% to 90% and specificity ranging from 85% to 97% when compared with the gold standard reference of stereophotographs of 7 standard fields. When compared with dilated ophthalmoscopy by an ophthalmologist, single-field fundus photography has sensitivity ranging from 38% to 100% and specificity ranging from 75% to 100%.
CONCLUSIONS: Single-field fundus photography is not a substitute for a comprehensive ophthalmic examination, but there is level I evidence that it can serve as a screening tool for diabetic retinopathy to identify patients with retinopathy for referral for ophthalmic evaluation and management. The advantages of single-field fundus photography interpreted by trained readers are ease of use (only one photograph is required), convenience, and ability to detect retinopathy. Further studies will be required to assess the implementation of single-field photography-based programs to confirm the clinical and cost-effectiveness of these techniques in improving population visual outcomes. Future research also should include establishing standardized protocols and satisfactory performance standards for diabetic retinopathy screening programs.

Entities:  

Mesh:

Year:  2004        PMID: 15121388     DOI: 10.1016/j.ophtha.2004.02.004

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  73 in total

1.  Diabetic retinopathy screening using single-field digital fundus photography at a district level in Costa Rica: a pilot study.

Authors:  Joaquin Martinez; Erick Hernandez-Bogantes; Lihteh Wu
Journal:  Int Ophthalmol       Date:  2011-01-28       Impact factor: 2.031

Review 2.  Update on Screening for Sight-Threatening Diabetic Retinopathy.

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

Review 3.  Retinal imaging and image analysis.

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

4.  Clinical application of multicolour scanning laser imaging in diabetic retinopathy.

Authors:  Shuting Li; Xiangning Wang; Xinhua Du; Qiang Wu
Journal:  Lasers Med Sci       Date:  2018-04-07       Impact factor: 3.161

5.  Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy.

Authors:  Michelle Y T Yip; Gilbert Lim; Zhan Wei Lim; Quang D Nguyen; Crystal C Y Chong; Marco Yu; Valentina Bellemo; Yuchen Xie; Xin Qi Lee; Haslina Hamzah; Jinyi Ho; Tien-En Tan; Charumathi Sabanayagam; Andrzej Grzybowski; Gavin S W Tan; Wynne Hsu; Mong Li Lee; Tien Yin Wong; Daniel S W Ting
Journal:  NPJ Digit Med       Date:  2020-03-23

6.  Comparison of image-assisted versus traditional fundus examination.

Authors:  Kristen Brown; Jeanette M Sewell; Clement Trempe; Tunde Peto; Thomas G Travison
Journal:  Eye Brain       Date:  2013-02-13

7.  Comparison Among Methods of Retinopathy Assessment (CAMRA) Study: Smartphone, Nonmydriatic, and Mydriatic Photography.

Authors:  Martha E Ryan; Ramachandran Rajalakshmi; Vijayaraghavan Prathiba; Ranjit Mohan Anjana; Harish Ranjani; K M Venkat Narayan; Timothy W Olsen; Viswanathan Mohan; Laura A Ward; Michael J Lynn; Andrew M Hendrick
Journal:  Ophthalmology       Date:  2015-07-16       Impact factor: 12.079

Review 8.  Scaling Up Teleophthalmology for Diabetic Eye Screening: Opportunities for Widespread Implementation in the USA.

Authors:  Yao Liu; Alejandra Torres Diaz; Ramsey Benkert
Journal:  Curr Diab Rep       Date:  2019-08-02       Impact factor: 4.810

9.  Photoacoustic ophthalmoscopy for in vivo retinal imaging.

Authors:  Shuliang Jiao; Minshan Jiang; Jianming Hu; Amani Fawzi; Qifa Zhou; K Kirk Shung; Carmen A Puliafito; Hao F Zhang
Journal:  Opt Express       Date:  2010-02-15       Impact factor: 3.894

10.  Evaluation of diabetic retinopathy screening using a non-mydriatic retinal digital camera in primary care settings in south Israel.

Authors:  Yossi Mizrachi; Boris Knyazer; Sara Guigui; Shirley Rosen; Tova Lifshitz; Nadav Belfair; Itamar Klemperer; Marina Schneck; Jaime Levy
Journal:  Int Ophthalmol       Date:  2013-12-01       Impact factor: 2.031

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