Literature DB >> 16650680

Comparison of nonmydriatic digital retinal imaging versus dilated ophthalmic examination for nondiabetic eye disease in persons with diabetes.

Sing-Pey Chow1, Lloyd M Aiello, Jerry D Cavallerano, Paula Katalinic, Kristen Hock, Ann Tolson, Rita Kirby, Sven-Erik Bursell, Lloyd Paul Aiello.   

Abstract

OBJECTIVE: To evaluate the ability of stereoscopic nonmydriatic digital retinal imaging to detect ocular pathologic features other than diabetic retinopathy (DR) in patients with diabetes mellitus (DM) compared with dilated retinal examination by retinal specialist ophthalmologists.
DESIGN: Clinic-based comparative instrument study and retrospective chart review. PARTICIPANTS: Two hundred eighty Joslin Diabetes Center outpatients (560 eyes) with type 1 or type 2 DM.
METHODS: Nonsimultaneous stereoscopic nonmydriatic digital retinal images (640 x 480 pixels) of three 45 degrees retinal fields were acquired and graded for clinical level of DR and other ocular pathologic features by certified readers according to Joslin Vision Network (JVN) protocol. Retrospective chart review compared findings from JVN digital images with findings from dilated retinal examination by retinal specialists performed within an average of 39.6 days of digital imaging. An independent senior retinal specialist adjudicated disagreements by review of 7 standard field 35-mm Early Treatment Diabetic Retinopathy Study protocol fundus photographs and JVN images. MAIN OUTCOME MEASURES: Detection of non-DR ocular pathologic features by digital imaging as compared with clinical examination.
RESULTS: Nonmydriatic digital evaluation identified at least 1 non-DR ocular finding in 40.7% of patients (114/280). Non-diabetes mellitus ocular pathologic features identified by digital images, clinical examination, or both included cataract (n = 100); age-related maculopathy (n = 52); suspicion of glaucoma (n = 18); choroidal lesions (n = 18); evidence of systemic disorder (e.g., hypertension or renal disease; n = 15); epiretinal membrane (n = 11); chorioretinal atrophy, scar, or both (n = 6); retinal emboli (n = 3); retinitis pigmentosa (n = 1); and asteroid hyalosis (n = 1). Agreement of nonmydriatic imaging with clinical examination for presence and absence of these findings was 95.4%, 91.3%, 98.2%, 98.6%, 98.2%, 99.6%, 100%, 100%, 100%, and 100%, respectively. Kappa values for all non-DR lesions demonstrated near perfect agreement (kappa> or =0.80) except for age-related maculopathy (kappa = 0.71) and choroidal lesions (kappa = 0.73), where agreement was substantial. Overall, only 55 eyes (9.8%) were ungradable for level of DR and 85 eyes (15.2%) were ungradable for macular edema.
CONCLUSIONS: Joslin Vision Network nonmydriatic digital imaging demonstrated excellent agreement with dilated ophthalmic examination by retinal specialists in the detection of ocular disease other than DR, suggesting a potential role for this technology in evaluating non-DR disorders and highlighting the extent of findings other than retinopathy in patients with diabetes.

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Year:  2006        PMID: 16650680     DOI: 10.1016/j.ophtha.2005.12.025

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


  12 in total

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Authors:  David B Rein; John S Wittenborn; Xinzhi Zhang; Benjamin A Allaire; Michael S Song; Ronald Klein; Jinan B Saaddine
Journal:  Health Serv Res       Date:  2011-04-14       Impact factor: 3.402

2.  Comparison of image-assisted versus traditional fundus examination.

Authors:  Kristen Brown; Jeanette M Sewell; Clement Trempe; Tunde Peto; Thomas G Travison
Journal:  Eye Brain       Date:  2013-02-13

3.  Teleophthalmic Approach for Detection of Corneal Diseases: Accuracy and Reliability.

Authors:  Maria A Woodward; David C Musch; Christopher T Hood; Jonathan B Greene; Leslie M Niziol; V Swetha E Jeganathan; Paul P Lee
Journal:  Cornea       Date:  2017-10       Impact factor: 2.651

4.  Evaluation of diabetic retinopathy screening using a non-mydriatic retinal digital camera in primary care settings in south Israel.

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Journal:  Int Ophthalmol       Date:  2013-12-01       Impact factor: 2.031

Review 5.  Ocular telehealth initiatives in diabetic retinopathy.

Authors:  Paolo S Silva; Jerry D Cavallerano; Lloyd M Aiello
Journal:  Curr Diab Rep       Date:  2009-08       Impact factor: 4.810

6.  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

7.  Imager evaluation of diabetic retinopathy at the time of imaging in a telemedicine program.

Authors:  Jerry D Cavallerano; Paolo S Silva; Ann M Tolson; Taniya Francis; Dorothy Tolls; Bina Patel; Sharon Eagan; Lloyd M Aiello; Lloyd P Aiello
Journal:  Diabetes Care       Date:  2012-01-11       Impact factor: 19.112

8.  Prospective Comparative Study Investigating Agreement between Tele-Ophthalmology and Face-to-face Consultations in Patients Presenting with Chronic Visual Loss.

Authors:  Jasper Ka-Wai Wong; Ming Ming Zhu; Jason Chi-Hang Lam; Keith Man-Kei Leung; Jin Xiao Lian; Cindy Lo-Kuen Lam; Kendrick Co Shih; Jimmy Shiu-Ming Lai
Journal:  Ophthalmol Ther       Date:  2022-04-13

9.  A Novel Device to Exploit the Smartphone Camera for Fundus Photography.

Authors:  Andrea Russo; Francesco Morescalchi; Ciro Costagliola; Luisa Delcassi; Francesco Semeraro
Journal:  J Ophthalmol       Date:  2015-06-02       Impact factor: 1.909

10.  Diabetic Retinopathy Assessment Variability Among Eye Care Providers in an Urban Teleophthalmology Program.

Authors:  Yao Liu; Victoria P Rajamanickam; Ravi S Parikh; Stephanie J Loomis; Carolyn E Kloek; Leo A Kim; Dorothy L Hitchmoth; Brian J Song; Dean C Xerras; Louis R Pasquale
Journal:  Telemed J E Health       Date:  2018-07-24       Impact factor: 3.536

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