Literature DB >> 26189190

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

Martha E Ryan1, Ramachandran Rajalakshmi2, Vijayaraghavan Prathiba2, Ranjit Mohan Anjana2, Harish Ranjani2, K M Venkat Narayan3, Timothy W Olsen1, Viswanathan Mohan2, Laura A Ward3, Michael J Lynn3, Andrew M Hendrick4.   

Abstract

PURPOSE: We compared smartphone fundus photography, nonmydriatic fundus photography, and 7-field mydriatic fundus photography for their abilities to detect and grade diabetic retinopathy (DR).
DESIGN: This was a prospective, comparative study of 3 photography modalities. PARTICIPANTS: Diabetic patients (n = 300) were recruited at the ophthalmology clinic of a tertiary diabetes care center in Chennai, India.
METHODS: Patients underwent photography by all 3 modalities, and photographs were evaluated by 2 retina specialists. MAIN OUTCOME MEASURES: The sensitivity and specificity in the detection of DR for both smartphone and nonmydriatic photography were determined by comparison with the standard method, 7-field mydriatic fundus photography.
RESULTS: The sensitivity and specificity of smartphone fundus photography, compared with 7-field mydriatic fundus photography, for the detection of any DR were 50% (95% confidence interval [CI], 43-56) and 94% (95% CI, 92-97), respectively, and of nonmydriatic fundus photography were 81% (95% CI, 75-86) and 94% (95% CI, 92-96%), respectively. The sensitivity and specificity of smartphone fundus photography for the detection of vision-threatening DR were 59% (95% CI, 46-72) and 100% (95% CI, 99-100), respectively, and of nonmydriatic fundus photography were 54% (95% CI, 40-67) and 99% (95% CI, 98-100), respectively.
CONCLUSIONS: Smartphone and nonmydriatic fundus photography are each able to detect DR and sight-threatening disease. However, the nonmydriatic camera is more sensitive at detecting DR than the smartphone. At this time, the benefits of the smartphone (connectivity, portability, and reduced cost) are not offset by the lack of sufficient sensitivity for detection of DR in most clinical circumstances.
Copyright © 2015 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26189190      PMCID: PMC4581972          DOI: 10.1016/j.ophtha.2015.06.011

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


  31 in total

1.  The number of ophthalmologists in practice and training worldwide: a growing gap despite more than 200,000 practitioners.

Authors:  Serge Resnikoff; William Felch; Tina-Marie Gauthier; Bruce Spivey
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2.  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

3.  Prevalence of diabetes and prediabetes (impaired fasting glucose and/or impaired glucose tolerance) in urban and rural India: phase I results of the Indian Council of Medical Research-INdia DIABetes (ICMR-INDIAB) study.

Authors:  R M Anjana; R Pradeepa; M Deepa; M Datta; V Sudha; R Unnikrishnan; A Bhansali; S R Joshi; P P Joshi; C S Yajnik; V K Dhandhania; L M Nath; A K Das; P V Rao; S V Madhu; D K Shukla; T Kaur; M Priya; E Nirmal; S J Parvathi; S Subhashini; R Subashini; M K Ali; V Mohan
Journal:  Diabetologia       Date:  2011-09-30       Impact factor: 10.122

4.  Standards of medical care in diabetes--2014.

Authors: 
Journal:  Diabetes Care       Date:  2014-01       Impact factor: 19.112

5.  Joint estimation of diagnostic accuracy measures for paired organs--application in ophthalmology.

Authors:  Alexander R de Leon; Andrea Soo; Daniel C Bonzo; Christopher J Rudnisky
Journal:  Biom J       Date:  2009-10       Impact factor: 2.207

6.  Smartphone photography safety.

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

7.  Grading diabetic retinopathy from stereoscopic color fundus photographs--an extension of the modified Airlie House classification. ETDRS report number 10. Early Treatment Diabetic Retinopathy Study Research Group.

Authors: 
Journal:  Ophthalmology       Date:  1991-05       Impact factor: 12.079

8.  Screening for diabetic retinopathy: 1 and 3 nonmydriatic 45-degree digital fundus photographs vs 7 standard early treatment diabetic retinopathy study fields.

Authors:  Stela Vujosevic; Elisa Benetti; Francesca Massignan; Elisabetta Pilotto; Monica Varano; Fabiano Cavarzeran; Angelo Avogaro; Edoardo Midena
Journal:  Am J Ophthalmol       Date:  2009-05-05       Impact factor: 5.258

9.  Marked reductions in visual impairment due to diabetic retinopathy achieved by efficient screening and timely treatment.

Authors:  Nina Hautala; Riittaliisa Aikkila; Juha Korpelainen; Antti Keskitalo; Anne Kurikka; Aura Falck; Risto Bloigu; Hannu Alanko
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10.  Smartphone fundoscopy.

Authors:  Andrew Bastawrous
Journal:  Ophthalmology       Date:  2012-02       Impact factor: 12.079

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  38 in total

1.  Glaucoma Screening in Nepal: Cup-to-Disc Estimate With Standard Mydriatic Fundus Camera Compared to Portable Nonmydriatic Camera.

Authors:  Sarah E Miller; Suman Thapa; Alan L Robin; Leslie M Niziol; Pradeep Y Ramulu; Maria A Woodward; Indira Paudyal; Ian Pitha; Tyson N Kim; Paula Anne Newman-Casey
Journal:  Am J Ophthalmol       Date:  2017-07-19       Impact factor: 5.258

2.  Diagnostic accuracy and reliability of retinal pathology using the Forus 3nethra fundus camera compared to ultra wide-field imaging.

Authors:  Dana Y Darwish; Samir N Patel; Yan Gao; Pooja Bhat; Felix Y Chau; Jennifer I Lim; Judy E Kim; Jogin Jose; Karyn E Jonas; R V Paul Chan; Supriya D Mehta; Ann-Marie Lobo
Journal:  Eye (Lond)       Date:  2019-01-24       Impact factor: 3.775

3.  Screening for vision-threatening diabetic retinopathy in South India: comparing portable non-mydriatic and standard fundus cameras and clinical exam.

Authors:  S Sengupta; M D Sindal; C G Besirli; S Upadhyaya; R Venkatesh; L M Niziol; A L Robin; M A Woodward; P A Newman-Casey
Journal:  Eye (Lond)       Date:  2017-09-15       Impact factor: 3.775

Review 4.  Clinical Components of Telemedicine Programs for Diabetic Retinopathy.

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Journal:  Curr Diab Rep       Date:  2016-12       Impact factor: 4.810

Review 5.  Cost-effectiveness of Different Diabetic Retinopathy Screening Modalities.

Authors:  Francisco J Pasquel; Andrew M Hendrick; Martha Ryan; Emily Cason; Mohammed K Ali; K M Venkat Narayan
Journal:  J Diabetes Sci Technol       Date:  2015-12-29

Review 6.  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

Review 7.  Clinically useful smartphone ophthalmic imaging techniques.

Authors:  Amar Pujari; Gunjan Saluja; Divya Agarwal; Harathy Selvan; Namrata Sharma
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Review 8.  Current and Next Generation Portable Screening Devices for Diabetic Retinopathy.

Authors:  J Morgan Micheletti; Andrew M Hendrick; Farah N Khan; David C Ziemer; Francisco J Pasquel
Journal:  J Diabetes Sci Technol       Date:  2016-02-16

9.  Practice Guidelines for Ocular Telehealth-Diabetic Retinopathy, Third Edition.

Authors:  Mark B Horton; Christopher J Brady; Jerry Cavallerano; Michael Abramoff; Gail Barker; Michael F Chiang; Charlene H Crockett; Seema Garg; Peter Karth; Yao Liu; Clark D Newman; Siddarth Rathi; Veeral Sheth; Paolo Silva; Kristen Stebbins; Ingrid Zimmer-Galler
Journal:  Telemed J E Health       Date:  2020-03-25       Impact factor: 3.536

10.  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

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