Literature DB >> 26949120

Identification of Diabetic Retinopathy and Ungradable Image Rate with Ultrawide Field Imaging in a National Teleophthalmology Program.

Paolo S Silva1, Mark B Horton2, Dawn Clary2, Drew G Lewis3, Jennifer K Sun4, Jerry D Cavallerano4, Lloyd Paul Aiello4.   

Abstract

PURPOSE: To compare diabetic retinopathy (DR) identification and ungradable image rates between nonmydriatic ultrawide field (UWF) imaging and nonmydriatic multifield fundus photography (NMFP) in a large multistate population-based DR teleophthalmology program.
DESIGN: Multiple-site, nonrandomized, consecutive, cross-sectional, retrospective, uncontrolled imaging device evaluation. PARTICIPANTS: Thirty-five thousand fifty-two eyes (17 526 patients) imaged using NMFP and 16 218 eyes (8109 patients) imaged using UWF imaging.
METHODS: All patients undergoing Joslin Vision Network (JVN) imaging with either NMFP or UWF imaging from May 1, 2014, through August 30, 2015, within the Indian Health Service-JVN program, which serves American Indian and Alaska Native communities at 97 sites across 25 states, were evaluated. All retinal images were graded using a standardized validated protocol in a centralized reading center. MAIN OUTCOME MEASURES: Ungradable rate for DR and diabetic macular edema (DME).
RESULTS: The ungradable rate per patient for DR and DME was significantly lower with UWF imaging compared with NMFP (DR, 2.8% vs. 26.9% [P < 0.0001]; DME, 3.8% vs. 26.2% [P < 0.0001]). Identification of eyes with either DR or referable DR (moderate nonproliferative DR or DME or worse) was increased using UWF imaging from 11.7% to 24.2% (P < 0.0001) and from 6.2% to 13.6% (P < 0.0001), respectively. In eyes with DR imaged with UWF imaging (n = 3926 eyes of 2402 patients), the presence of predominantly peripheral lesions suggested a more severe level of DR in 7.2% of eyes (9.6% of patients).
CONCLUSIONS: In a large, widely distributed DR ocular telehealth program, as compared with NMFP, nonmydriatic UWF imaging reduced the number of ungradable eyes by 81%, increased the identification of DR nearly 2-fold, and identified peripheral lesions suggesting more severe DR in almost 10% of patients, thus demonstrating significant benefits of this imaging method for large DR teleophthalmology programs.
Copyright © 2016 American Academy of Ophthalmology. All rights reserved.

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Year:  2016        PMID: 26949120     DOI: 10.1016/j.ophtha.2016.01.043

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


  28 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.  Teleophthalmology image-based navigated retinal laser therapy for diabetic macular edema: a concept of retinal telephotocoagulation.

Authors:  Igor Kozak; John F Payne; Patrik Schatz; Eman Al-Kahtani; Moritz Winkler
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2017-04-26       Impact factor: 3.117

Review 3.  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 4.  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

5.  Novel Use of Telemedicine for Corneal Tissue Evaluation in Eye Banking: Establishing a Standardized Approach for the Remote Evaluation of Donor Corneas for Transplantation.

Authors:  Rolake O Alabi; Amy Ansin; Jameson Clover; John Wilkins; Naveen K Rao; Mark A Terry; Khoa D Tran; Christopher S Sales
Journal:  Cornea       Date:  2019-04       Impact factor: 2.651

Review 6.  The Current State of Teleophthalmology in the United States.

Authors:  Siddarth Rathi; Edmund Tsui; Nitish Mehta; Sarwar Zahid; Joel S Schuman
Journal:  Ophthalmology       Date:  2017-06-21       Impact factor: 12.079

Review 7.  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

8.  Predictors of Photographic Quality with a Handheld Nonmydriatic Fundus Camera Used for Screening of Vision-Threatening Diabetic Retinopathy.

Authors:  Jose R Davila; Sabyasachi S Sengupta; Leslie M Niziol; Manavi D Sindal; Cagri G Besirli; Swati Upadhyaya; Maria A Woodward; Rengaraj Venkatesh; Alan L Robin; Joseph Grubbs; Paula Anne Newman-Casey
Journal:  Ophthalmologica       Date:  2017-07-05       Impact factor: 3.250

9.  Retinal Telemedicine.

Authors:  Ru-Ik Chee; Dana Darwish; Alvaro Fernandez-Vega; Samir Patel; Karyn Jonas; Susan Ostmo; J Peter Campbell; Michael F Chiang; Rv Paul Chan
Journal:  Curr Ophthalmol Rep       Date:  2018-01-29

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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