Literature DB >> 23939541

Potential efficiency benefits of nonmydriatic ultrawide field retinal imaging in an ocular telehealth diabetic retinopathy program.

Paolo S Silva1, Jerry D Cavallerano, Dorothy Tolls, Ahmed Omar, Komal Thakore, Bina Patel, Mina Sehizadeh, Ann M Tolson, Jennifer K Sun, Lloyd M Aiello, Lloyd Paul Aiello.   

Abstract

OBJECTIVE To compare efficiency of nonmydriatic ultrawide field retinal imaging (UWFI) and nonmydriatic fundus photography (NMFP) in a diabetic retinopathy (DR) ocular telehealth program. RESEARCH DESIGN AND METHODS Patients in this retrospective, comparative cohort study underwent NMFP and UWFI between 1 November 2011 and 1 November 2012. Images were evaluated for DR and diabetic macular edema (DME) by certified graders using a standard protocol at a centralized reading center. Identification of DR, image evaluation time, and rate of ungradable eyes were compared. RESULTS NMFP and UWFI were performed in 1,633 and 2,170 consecutive patients, respectively. No statistically significant differences were found between groups regarding age, diabetes duration, sex, ethnicity, or insulin use. The ungradable rate per patient for DR (2.9 vs. 9.9%, P < 0.0001) and DME (3.8 vs. 8.8%, P < 0.0001) was lower with UWFI than with NMFP. With UWFI, the median image evaluation time per patient was reduced from 12.8 to 9.2 min (P < 0.0001). The identification of patients with DR (38.4 vs. 33.8%) and vision-threatening DR (14.5 vs. 11.9%) was increased with UWFI versus NMFP. In a consecutive subgroup of 502 eyes of 301 patients with DR, the distribution of peripheral retinal lesions outside Early Treatment Diabetic Retinopathy Study fields suggested a more severe DR level in 9.0% (45 eyes). CONCLUSIONS In a standardized DR ocular telehealth program, nonmydriatic UWFI reduced the ungradable rate by 71% (to <3%) and reduced image evaluation time by 28%. DR was identified 17% more frequently after UWFI, and DR peripheral lesions suggested a more severe DR level in 9%. These data suggest that UWFI may improve efficiency of ocular telehealth programs evaluating DR and DME.

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Year:  2013        PMID: 23939541     DOI: 10.2337/dc13-1292

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  32 in total

1.  Distribution of peripheral lesions identified by mydriatic ultra-wide field fundus imaging in diabetic retinopathy.

Authors:  Aditya Verma; Ahmed Roshdy Alagorie; Kim Ramasamy; Jano van Hemert; N K Yadav; Rajeev R Pappuru; Adnan Tufail; Muneesawar Gupta Nittala; SriniVas R Sadda; Rajiv Raman
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2020-01-27       Impact factor: 3.117

2.  A renaissance of teleophthalmology through artificial intelligence.

Authors:  Edward Korot; Edward Wood; Adam Weiner; Dawn A Sim; Michael Trese
Journal:  Eye (Lond)       Date:  2019-01-08       Impact factor: 3.775

3.  Two-Year Incidence of Retinal Intervention in Patients With Minimal or No Diabetic Retinopathy on Telemedicine Screening.

Authors:  Bobeck S Modjtahedi; Christos Theophanous; Stephan Chiu; Tiffany Q Luong; Natasha Nguyen; Donald S Fong
Journal:  JAMA Ophthalmol       Date:  2019-04-01       Impact factor: 7.389

Review 4.  Imaging and Biomarkers in Diabetic Macular Edema and Diabetic Retinopathy.

Authors:  Changyow C Kwan; Amani A Fawzi
Journal:  Curr Diab Rep       Date:  2019-08-31       Impact factor: 4.810

Review 5.  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 6.  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

Review 7.  Biomarkers of Diabetic Retinopathy.

Authors:  Daniel Shu Wei Ting; Kara-Anne Tan; Val Phua; Gavin Siew Wei Tan; Chee Wai Wong; Tien Yin Wong
Journal:  Curr Diab Rep       Date:  2016-12       Impact factor: 4.810

Review 8.  Retinal Imaging Techniques for Diabetic Retinopathy Screening.

Authors:  James Kang Hao Goh; Carol Y Cheung; Shaun Sebastian Sim; Pok Chien Tan; Gavin Siew Wei Tan; Tien Yin Wong
Journal:  J Diabetes Sci Technol       Date:  2016-02-01

Review 9.  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

10.  Quantitative Comparison of Fundus Images by 2 Ultra-Widefield Fundus Cameras.

Authors:  Andrew Chen; Suveera Dang; Mina M Chung; Rajeev S Ramchandran; Angela P Bessette; David A DiLoreto; David M Kleinman; Jayanth Sridhar; Charles C Wykoff; Ajay E Kuriyan
Journal:  Ophthalmol Retina       Date:  2020-08-29
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