Literature DB >> 26795026

Comparison of Nondiabetic Retinal Findings Identified With Nonmydriatic Fundus Photography vs Ultrawide Field Imaging in an Ocular Telehealth Program.

Paolo S Silva1, Jerry D Cavallerano2, Nour Maya N Haddad3, Dorothy Tolls3, Komal Thakore3, Bina Patel4, Mina Sehizadeh3, Ann M Tolson3, Jennifer K Sun3, Lloyd Paul Aiello2.   

Abstract

IMPORTANCE: Ultrawide field imaging (UWFI) is increasingly being used in teleophthalmology settings. Given the greater area of the retina imaged, we evaluated the ability of UWFI vs nonmydriatic fundus photography (NMFP) to detect nondiabetic retinal findings in a teleophthalmology program. OBSERVATION: We conducted a retrospective single-center comparative cohort study from January 1, 2011, to June 30, 2013, imaging 3864 and 3971 consecutive teleophthalmology patients (7728 and 7942 eyes) using NMFP and UWFI, respectively. Standard diabetic retinopathy evaluation and nondiabetic findings were compared between the 2 imaging modalities. In patients without diabetic retinopathy (2243 by NMFP and 2252 by UWFI), the rate of identification of nondiabetic findings by NMFP (451 patients [20.1%]) and UWFI (490 [21.8%]) were comparable (P = .19). Ultrawide field imaging increased the identification of choroidal nevi by 27% (406 eyes [5.3%] by NMFP vs 545 eyes [6.9%] by UWFI; P < .001) and chorioretinal atrophy or scarring by 116% (50 eyes [0.6%] by NMFP vs 101 eyes [1.3%] by UWFI; P < .001). No peripheral retinal findings were identified with NMFP, while UWFI detected 25 retinal tears (0.3%; P < .001), 54 lattice and peripheral degenerations (0.7%; P < .001), and 142 cases of vitreous detachment or floaters (1.8%; P < .001). Data analysis was performed from November 1, 2013, to May 1, 2014. CONCLUSIONS AND RELEVANCE: In eyes without diabetic retinopathy, approximately 20% may have ocular findings identified on retinal imaging, which emphasizes the role of retinal imaging in patients with diabetes mellitus type 1 and type 2 regardless of the severity of retinopathy. In this cohort, UWFI increased the identification of peripheral retinal and vitreous pathologic findings.

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Year:  2016        PMID: 26795026     DOI: 10.1001/jamaophthalmol.2015.5605

Source DB:  PubMed          Journal:  JAMA Ophthalmol        ISSN: 2168-6165            Impact factor:   7.389


  12 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.  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 3.  Presence and Risk Factors for Glaucoma in Patients with Diabetes.

Authors:  Brian J Song; Lloyd Paul Aiello; Louis R Pasquale
Journal:  Curr Diab Rep       Date:  2016-12       Impact factor: 4.810

Review 4.  Association Between Diabetes, Diabetic Retinopathy, and Glaucoma.

Authors:  Yangjiani Li; William Mitchell; Tobias Elze; Nazlee Zebardast
Journal:  Curr Diab Rep       Date:  2021-09-08       Impact factor: 5.430

Review 5.  Widefield Optical Coherence Tomography Angiography in Diabetic Retinopathy.

Authors:  Alessia Amato; Francesco Nadin; Federico Borghesan; Maria Vittoria Cicinelli; Irini Chatziralli; Saena Sadiq; Rukhsana Mirza; Francesco Bandello
Journal:  J Diabetes Res       Date:  2020-11-24       Impact factor: 4.011

6.  The advantages of intermediate-tier, inter-optometric referral of low risk pigmented lesions.

Authors:  Angelica Ly; Lisa Nivison-Smith; Michael Hennessy; Michael Kalloniatis
Journal:  Ophthalmic Physiol Opt       Date:  2017-11       Impact factor: 3.117

7.  Inter-observer agreement and sensitivity of Optomap images for screening peripheral retinal lesions in patients undergoing refractive surgery.

Authors:  Ramesh Venkatesh; Jophy Philips Cherry; Nikitha Gurram Reddy; Aaditi Anilkumar; Akhila Sridharan; Sajjan Sangai; Rohit Shetty; Naresh Kumar Yadav; Chaitra Jayadev
Journal:  Indian J Ophthalmol       Date:  2020-12       Impact factor: 1.848

Review 8.  The Role of Telemedicine, In-Home Testing and Artificial Intelligence to Alleviate an Increasingly Burdened Healthcare System: Diabetic Retinopathy.

Authors:  Janusz Pieczynski; Patrycja Kuklo; Andrzej Grzybowski
Journal:  Ophthalmol Ther       Date:  2021-06-22

Review 9.  Diabetic retinopathy: research to clinical practice.

Authors:  Anjali R Shah; Thomas W Gardner
Journal:  Clin Diabetes Endocrinol       Date:  2017-10-19

Review 10.  The Evolution of Diabetic Retinopathy Screening Programmes: A Chronology of Retinal Photography from 35 mm Slides to Artificial Intelligence.

Authors:  Josef Huemer; Siegfried K Wagner; Dawn A Sim
Journal:  Clin Ophthalmol       Date:  2020-07-20
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