Original articleThe sensitivity and specificity of single-field nonmydriatic monochromatic digital fundus photography with remote image interpretation for diabetic retinopathy screening: a comparison with ophthalmoscopy and standardized mydriatic color photography1
Section snippets
Design
In this prospective, comparative, observational case series, subjects were recruited from a large health care maintenance organization from July 20, 1996, to December 15, 1997.
Patients
Study protocols were presented to and approved by the Institutional Review Board for the Protection of Human Subjects at the Kaiser Foundation Research Institute (Oakland, California). A total of 403 consecutive subjects under care for diabetes mellitus were recruited from the Kaiser Oakland Medical Center and underwent digital monochromatic photography. Eligible patients included both type I and type II diabetic patients with any disease duration. Patients were ineligible if they were less
Results
A total of 403 patients underwent at least one screening modality, and 211 patients completed all three diagnostic modalities. After patients with unusable ophthalmoscopy records and unusable standard seven-field color photographs were excluded, a total of 197 participants were included in the data set (Table 1). The demographic characteristics of this urban diabetic population are summarized in Table 2. The exclusion of participants who failed to complete all three screening modalities did
Discussion
Our results suggest that single-field nonmydriatic monochromatic digital photography with remote interpretation is a sensitive and specific means for detecting diabetic retinopathy in at-risk populations. In this study, nonmydriatic wide-angle digital photography was superior to ophthalmoscopy in accurately grading lower levels of diabetic retinopathy, as performed in a typical outpatient setting. These results should be of interest to both the ophthalmoscopy and public health communities.
In an
References (40)
Vision problems in the U.S.A.statistical analysis
(1980)- et al.
Vision disorders in diabetes
Photocoagulation treatment for proliferative diabetic retinopathy, the second report of Diabetic Retinopathy Study Findings
Ophthalmology
(1978)Photocoagulation for diabetic macular edema. ETDRS report number 1
Arch Ophthalmol
(1985)- et al.
Preventive eye care in people with diabetes is cost-saving to the federal government. Implications for health-care reform
Diabetes Care
(1994) - et al.
Detecting and treating retinopathy in patients with type I diabetes mellitus, savings associated with improved implementation of current guidelines
Ophthalmology
(1991) - et al.
Cost-effectiveness of detecting and treating diabetic retinopathy
Ann Intern Med
(1996) - et al.
Cost effectiveness analysis of screening for sight-threatening diabetic eye disease
BMJ
(2000) - et al.
Cost-benefit analysis of diabetic eye disease
Ophthalmologica
(1996) - et al.
Screening for diabetic retinopathy
Ann Intern Med
(1992)
Are seven standard photographic fields necessary for classification of diabetic retinopathy?
Invest Ophthalmol Vis Sci
Color photography versus fluorescein angiography in the detection of diabetic retinopathy in the Diabetes Control and Complications Trial
Arch Ophthalmol
Comparison of diabetic retinopathy detection by clinical examinations and photographic gradings
Arch Ophthalmol
Cost effectiveness screening for diabetic retinopathy using a non-mydriatic retinal camera in prepaid health care setting
Diabetes Care
Diagnosis of diabetic retinopathyophthalmoscopy versus fundus photography
Ophthalmology
A report on the use of technician ophthalmoscopy combined with the use of the Canon non-mydriatic camera in screening for diabetic retinopathy in the community
Diabet Med
Screening for diabetic retinopathy
Med J Aust
Screening for diabetic retinopathythe wide-angle retinal camera
Diabetes Care
Screening for diabetic retinopathy in a clinical setting: a comparison of direct ophthalmoscopy by primary care physicians with fundus photography
J Fam Pract
Non-stereo photographic screening and long term follow-up for detection of proliferative diabetic retinopathy
Acta Ophthalmol
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InternetAdvance publication at ajo.com. April 12, 2002.
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During the study, Ms Brothers was an employee of and Dr Blumenkranz was a consultant for Ophthalmic Imaging Systems, Sacramento, California.
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The members of the Digital Diabetic Screening Group are listed at the end of the article.