Literature DB >> 34632255

Comparison of Telemedicine Screening of Diabetic Retinopathy by Mydriatic Smartphone-Based vs Nonmydriatic Tabletop Camera-Based Fundus Imaging.

Yong Seok Han1, Mythili Pathipati2,3, Carolyn Pan2,3, Loh-Shan Leung2,3, Mark Scott Blumenkranz2,3, David Myung2,3, Brian Chiwing Toy1,2,3.   

Abstract

PURPOSE: To compare dilated smartphone-based imaging with a nonmydriatic, tabletop fundus camera as a teleophthalmology screening tool for diabetic retinopathy (DR).
METHODS: This was a single-institutional, cross-sectional, comparative-instrument study. Fifty-six patients at a safety-net hospital underwent teleophthalmology screening for DR using standard, nonmydriatic fundus photography with a tabletop camera (Nidek NM-1000) and dilated fundus photography using a smartphone camera with lens adapter (Paxos Scope, Verana Health). Masked graders performed standardized photo grading. Quantitative comparisons were performed employing descriptive, κ, Bland-Altman, and receiver operating characteristic analyses.
RESULTS: Posterior segment photography was of sufficient quality to grade in 89% of mydriatic smartphone-imaged eyes and in 86% of nonmydriatic tabletop camera-imaged eyes (P = .03). Using the tabletop camera as the reference to detect moderate nonproliferative DR or worse (referral-warranted DR), mydriatic smartphone-acquired photographs were found to be 82% sensitive and 96% specific. Dilated smartphone imaging detected referral-warranted DR in 3 eyes whose tabletop camera imaging did not demonstrate referral-warranted DR. Secondary masked review of medical records for the discordances in referral-warranted status from the two imaging modalities was performed, and it revealed revised sensitivity and specificity values of 95% and 98%, respectively. Overall, there was good agreement between tabletop camera and smartphone-acquired photo grades (κ = 0.91 ± 0.1, P < .001; area under the receiver operating characteristic curve = 0.99, 95% CI, 0.98-1.00).
CONCLUSIONS: Mydriatic smartphone-based imaging resulted in fewer ungradable photos compared to nonmydriatic table-top camera imaging and detected more patients with referral-warranted DR. Our study supports the use of mydriatic smartphone teleophthalmology as an alternative method to screen for DR.

Entities:  

Keywords:  diabetic retinopathy; fundus photography; nonmydriatic camera; screening; smartphone; telemedicine

Year:  2020        PMID: 34632255      PMCID: PMC8496880          DOI: 10.1177/2474126420958304

Source DB:  PubMed          Journal:  J Vitreoretin Dis        ISSN: 2474-1264


  27 in total

1.  Novel uses of smartphones in ophthalmology.

Authors:  Ron K Lord; Vinay A Shah; Ashley N San Filippo; Rohit Krishna
Journal:  Ophthalmology       Date:  2010-06       Impact factor: 12.079

2.  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

3.  Smartphone photography safety.

Authors:  David Y Kim; François Delori; Shizuo Mukai
Journal:  Ophthalmology       Date:  2012-10       Impact factor: 12.079

4.  Validation of Smartphone-Based Retinal Photography for Diabetic Retinopathy Screening.

Authors:  Yannick Bilong; Jean-Claude Katte; Godefroy Koki; Giles Kagmeni; Odile Pascale Nga Obama; Hermann Rossi Ngoufo Fofe; Caroline Mvilongo; Oliver Nkengfack; Andre Michel Bimbai; Eugene Sobngwi; Wilfred Mbacham; Jean Claude Mbanya; Lucienne Assumpta Bella; Ashish Sharma
Journal:  Ophthalmic Surg Lasers Imaging Retina       Date:  2019-05-01       Impact factor: 1.300

5.  Framework for a national teleretinal imaging program to screen for diabetic retinopathy in Veterans Health Administration patients.

Authors:  Paul R Conlin; Barry M Fisch; James C Orcutt; Barbara J Hetrick; Adam W Darkins
Journal:  J Rehabil Res Dev       Date:  2006 Sep-Oct

6.  Nonmydriatic fundus photography for teleophthalmology diabetic retinopathy screening in rural and urban clinics.

Authors:  Eric K Chin; Bruna V Ventura; Kai-Yin See; Joann Seibles; Susanna S Park
Journal:  Telemed J E Health       Date:  2013-11-12       Impact factor: 3.536

Review 7.  Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales.

Authors:  C P Wilkinson; Frederick L Ferris; Ronald E Klein; Paul P Lee; Carl David Agardh; Matthew Davis; Diana Dills; Anselm Kampik; R Pararajasegaram; Juan T Verdaguer
Journal:  Ophthalmology       Date:  2003-09       Impact factor: 12.079

8.  Benefits of Ophdiat, a telemedical network to screen for diabetic retinopathy: a retrospective study in five reference hospital centres.

Authors:  A Chabouis; M Berdugo; T Meas; A Erginay; M Laloi-Michelin; V Jouis; P-J Guillausseau; J M'bemba; G Chaine; G Slama; R Cohen; G Reach; M Marre; P Chanson; E Vicaut; P Massin
Journal:  Diabetes Metab       Date:  2009-04-05       Impact factor: 6.041

9.  Use of telemedicine in screening for diabetic retinopathy.

Authors:  Johanna Choremis; David R Chow
Journal:  Can J Ophthalmol       Date:  2003-12       Impact factor: 1.882

10.  Utility and Feasibility of Teleophthalmology Using a Smartphone-Based Ophthalmic Camera in Screening Camps in Nepal.

Authors:  Sean Collon; David Chang; Geoffrey Tabin; Karen Hong; David Myung; Suman Thapa
Journal:  Asia Pac J Ophthalmol (Phila)       Date:  2020 Jan-Feb
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  1 in total

1.  Value of Combining Optical Coherence Tomography with Fundus Photography in Screening Retinopathy in Patients with High Myopia.

Authors:  Yingjuan Hao; Shiyang Liu; Zhimin Yu
Journal:  J Healthc Eng       Date:  2022-04-11       Impact factor: 3.822

  1 in total

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