Literature DB >> 11874767

Clinical evaluation of patients with diabetic retinopathy: accuracy of the Inoveon diabetic retinopathy-3DT system.

Stephen R Fransen1, Thomas C Leonard-Martin, William J Feuer, P Lloyd Hildebrand.   

Abstract

PURPOSE: This study analyzed the accuracy of the Inoveon Diabetic Retinopathy (DR-3DT) system (Inoveon Corp., Oklahoma City, OK), a scalable evaluation method for the management of diabetic retinopathy using high-quality digital retinal imaging.
DESIGN: An independent, masked, cross-sectional, clinical validation study. PARTICIPANTS: Two hundred ninety adult patients with diabetes from the Chickasaw Nation's Carl Albert Indian Health Facility in Ada, Oklahoma.
METHODS: All participants underwent DRS7 imaging using a Zeiss FF450 fundus camera with images recorded on 35-mm film and a Kodak DCS520 digital camera back. Masked double grading with independent third reader adjudication yielded an Early Treatment Diabetic Retinopathy Study (ETDRS) Final Retinopathy Severity Scale Level (ETDRS Level) and macular edema stage for each eye. The presence of greater-than-or-equal ETDRS Level 53, questionable or definite clinically significant macular edema in either eye, or ungradeable images was defined as a threshold event requiring referral. MAIN OUTCOME MEASURES: Accuracy (sensitivity, specificity, predictive values) of the digital system relative to the film "gold standard" on the threshold referral criteria per patient.
RESULTS: All patients with gradeable 35-mm slides from at least one eye were included in this per patient analysis (n = 290). The prevalence of threshold events was 19.3%. The sensitivity of the digital system in detecting threshold events was 98.2% (95% confidence interval [CI], 90.5%-100.0%) and specificity 89.7% (95% CI, 85.1%-93.3%). The positive predictive value was 69.5% and negative predictive value 99.5% for this sample.
CONCLUSIONS: When compared with the "gold standard," Inoveon's DR-3DT system provides highly accurate diabetic retinopathy referral decisions. Given their inherent advantages, high-quality digital imaging systems could replace the film "gold standard" as the basis for scalable, accessible, diabetic retinopathy evaluation.

Entities:  

Mesh:

Year:  2002        PMID: 11874767     DOI: 10.1016/s0161-6420(01)00990-3

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


  20 in total

Review 1.  The cost-effectiveness of three screening alternatives for people with diabetes with no or early diabetic retinopathy.

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.  Utility of hard exudates for the screening of macular edema.

Authors:  Taras V Litvin; Glen Y Ozawa; George H Bresnick; Jorge A Cuadros; Matthew S Muller; Ann E Elsner; Thomas J Gast
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3.  Detection of diabetic retinopathy: a comparison between red-free digital images and colour transparencies.

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Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2004-11-30       Impact factor: 3.117

4.  Accuracy and reliability of telemedicine for diagnosis of cytomegalovirus retinitis.

Authors:  Somsanguan Ausayakhun; Alison H Skalet; Choeng Jirawison; Sakarin Ausayakhun; Jeremy D Keenan; Claire Khouri; Khang Nguyen; Partho S Kalyani; David Heiden; Gary N Holland; Todd P Margolis
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5.  EyePACS: an adaptable telemedicine system for diabetic retinopathy screening.

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Journal:  J Diabetes Sci Technol       Date:  2009-05-01

6.  The accuracy of digital-video retinal imaging to screen for diabetic retinopathy: an analysis of two digital-video retinal imaging systems using standard stereoscopic seven-field photography and dilated clinical examination as reference standards.

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Journal:  Trans Am Ophthalmol Soc       Date:  2004

7.  Telemedical diagnosis of retinopathy of prematurity: accuracy of expert versus non-expert graders.

Authors:  Steven L Williams; Lu Wang; Steven A Kane; Thomas C Lee; David J Weissgold; Audina M Berrocal; Daniel Rabinowitz; Justin Starren; John T Flynn; Michael F Chiang
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8.  Accuracy of digital images for assessing diabetic retinopathy.

Authors:  Hyungjin Myra Kim; Julie C Lowery; Ronald Kurtz
Journal:  J Diabetes Sci Technol       Date:  2007-07

9.  Stanford University Network for Diagnosis of Retinopathy of Prematurity (SUNDROP): 18-month experience with telemedicine screening.

Authors:  Ruwan A Silva; Yohko Murakami; Atul Jain; Jarel Gandhi; Eleonora M Lad; Darius M Moshfeghi
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2008-09-11       Impact factor: 3.117

Review 10.  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

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