Literature DB >> 19885116

Accuracy of digital images for assessing diabetic retinopathy.

Hyungjin Myra Kim1, Julie C Lowery, Ronald Kurtz.   

Abstract

BACKGROUND: To determine the accuracy of diabetic retinopathy status assessments with and without pupil dilation using digital fundus photographs acquired by a clinic staff person and interpreted remotely by ophthalmologists.
METHOD: Using early treatment diabetic retinopathy study (EDTRS) grading criteria, diabetic retinopathy status assessments were made by an experienced (nonphysician) retinal grader (NPG) based on seven standard field 35-mm stereoscopic slides acquired by an experienced ophthalmic photographer. These assessments were compared with those of the same eyes made by two ophthalmologists and the NPG using digital photographs acquired by a clinic staff person using a high-resolution (800 x 600) digital color camera system.
RESULTS: Based on 35-mm slides, 38% of 244 diabetic patients had ETDRS > or =35 in at least one eye and 5% had vision-threatening diabetic retinopathy (ETDRS > or =53 or macular edema). The proportion of ungradable images was significantly greater for nonmydriatic than mydriatic assessments (30% versus 10% ungradable as determined by the NPG). For ETDRS level > or =35, specificity ranged from moderate to high (0.70 to 0.96) for the three graders, while sensitivity was poor to moderate (0.38 to 0.71), and the area under the receiver-operating characteristic curves was less than satisfactory (0.67 to 0.71).
CONCLUSIONS: The low sensitivity of the digital assessments indicates a significant proportion of patients in need of referral would not have been referred. These findings suggest that implementation of a simplified screening system using nonphotographer clinic staff acquiring nonmydriatic images, with interpretation by an ophthalmologist, should take place with an understanding of potential limitations.

Entities:  

Keywords:  diabetic retinopathy; screening; sensitivity and specificity; telemedicine

Year:  2007        PMID: 19885116      PMCID: PMC2769632          DOI: 10.1177/193229680700100411

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  19 in total

1.  The influence of age, duration of diabetes, cataract, and pupil size on image quality in digital photographic retinal screening.

Authors:  Peter Henry Scanlon; Chris Foy; Raman Malhotra; Stephen J Aldington
Journal:  Diabetes Care       Date:  2005-10       Impact factor: 19.112

2.  Photocoagulation for proliferative diabetic retinopathy: a randomised controlled clinical trial using the xenon-arc.

Authors: 
Journal:  Diabetologia       Date:  1984-02       Impact factor: 10.122

3.  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

4.  Screening for diabetic retinopathy using digital colour photography and oral fluorescein angiography.

Authors:  R Newsom; B Moate; T Casswell
Journal:  Eye (Lond)       Date:  2000-08       Impact factor: 3.775

5.  The use of digital cameras in a mobile retinal screening environment.

Authors:  D J Taylor; J Fisher; J Jacob; J E Tooke
Journal:  Diabet Med       Date:  1999-08       Impact factor: 4.359

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

Authors:  Stephen R Fransen; Thomas C Leonard-Martin; William J Feuer; P Lloyd Hildebrand
Journal:  Ophthalmology       Date:  2002-03       Impact factor: 12.079

7.  Global burden of diabetes, 1995-2025: prevalence, numerical estimates, and projections.

Authors:  H King; R E Aubert; W H Herman
Journal:  Diabetes Care       Date:  1998-09       Impact factor: 19.112

8.  Photocoagulation treatment of proliferative diabetic retinopathy: the second report of diabetic retinopathy study findings.

Authors: 
Journal:  Ophthalmology       Date:  1978-01       Impact factor: 12.079

9.  Public health focus: prevention of blindness associated with diabetic retinopathy.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  1993-03-19       Impact factor: 17.586

10.  Four risk factors for severe visual loss in diabetic retinopathy. The third report from the Diabetic Retinopathy Study. The Diabetic Retinopathy Study Research Group.

Authors: 
Journal:  Arch Ophthalmol       Date:  1979-04
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  5 in total

Review 1.  Clinical Components of Telemedicine Programs for Diabetic Retinopathy.

Authors:  Mark B Horton; Paolo S Silva; Jerry D Cavallerano; Lloyd Paul Aiello
Journal:  Curr Diab Rep       Date:  2016-12       Impact factor: 4.810

2.  Implementation and first-year screening results of an ocular telehealth system for diabetic retinopathy in China.

Authors:  Jinjuan Peng; Haidong Zou; Weiwei Wang; Jiong Fu; Bingjie Shen; Xuelin Bai; Xun Xu; Xi Zhang
Journal:  BMC Health Serv Res       Date:  2011-10-04       Impact factor: 2.655

Review 3.  Imaging in diabetic retinopathy.

Authors:  David A Salz; Andre J Witkin
Journal:  Middle East Afr J Ophthalmol       Date:  2015 Apr-Jun

4.  A Quantitative and Standardized Method for the Evaluation of Choroidal Neovascularization Using MICRON III Fluorescein Angiograms in Rats.

Authors:  Jonathan P Wigg; Hong Zhang; Dong Yang
Journal:  PLoS One       Date:  2015-05-29       Impact factor: 3.240

5.  Pivotal Evaluation of an Artificial Intelligence System for Autonomous Detection of Referrable and Vision-Threatening Diabetic Retinopathy.

Authors:  Eli Ipp; David Liljenquist; Bruce Bode; Viral N Shah; Steven Silverstein; Carl D Regillo; Jennifer I Lim; SriniVas Sadda; Amitha Domalpally; Gerry Gray; Malavika Bhaskaranand; Chaithanya Ramachandra; Kaushal Solanki
Journal:  JAMA Netw Open       Date:  2021-11-01
  5 in total

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