Ophthalmology (Eye & Ear Hospital) - Research Publications

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Start date: 2000 × End date: 2009 × Author: WANG, JIE × Author: Wong, Tien × Author: LIM, SHUEH ×

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    Retinal Vascular Fractal Dimension and Risk of Early Diabetic Retinopathy A prospective study of children and adolescents with type 1 diabetes
    Lim, SW ; Liew, G ; Cheung, N ; Islam, FMA ; Wang, JJ ; Jenkins, AJ ; Donaghue, KC ; Wong, TY (AMER DIABETES ASSOC, 2009-11)
    OBJECTIVE: To examine the prospective association of retinal vascular fractal dimension with diabetic retinopathy risk in young people with type 1 diabetes. RESEARCH DESIGN AND METHODS: This was a hospital-based prospective study of 590 patients aged 12-20 years with type 1 diabetes free of retinopathy at baseline. All patients had seven-field retinal photographs taken of both eyes. Incident retinopathy was ascertained from retinal photographs taken at follow-up visits. Fractal dimension was measured from baseline photographs using a computer-based program following a standardized protocol. RESULTS: Over a mean +/- SD follow-up period of 2.9 +/- 2.0 years, 262 participants developed mild nonproliferative diabetic retinopathy (15.0 per 100 person-years). After adjusting for age, sex, diabetes duration, A1C, and other risk factors, we found no association between retinal vascular fractal dimension and incident retinopathy. CONCLUSIONS: Retinal vascular fractal dimension was not associated with incident early diabetic retinopathy in this sample of children and adolescents with type 1 diabetes.
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    Quantitative Assessment of Early Diabetic Retinopathy Using Fractal Analysis
    Cheung, N ; Donaghue, KC ; Liew, G ; Rogers, SL ; Wang, JJ ; Lim, S-W ; Jenkins, AJ ; Hsu, W ; Lee, ML ; Wong, TY (AMER DIABETES ASSOC, 2009-01)
    OBJECTIVE: Fractal analysis can quantify the geometric complexity of the retinal vascular branching pattern and may therefore offer a new method to quantify early diabetic microvascular damage. In this study, we examined the relationship between retinal fractal dimension and retinopathy in young individuals with type 1 diabetes. RESEARCH DESIGN AND METHODS: We conducted a cross-sectional study of 729 patients with type 1 diabetes (aged 12-20 years) who had seven-field stereoscopic retinal photographs taken of both eyes. From these photographs, retinopathy was graded according to the modified Airlie House classification, and fractal dimension was quantified using a computer-based program following a standardized protocol. RESULTS: In this study, 137 patients (18.8%) had diabetic retinopathy signs; of these, 105 had mild retinopathy. Median (interquartile range) retinal fractal dimension was 1.46214 (1.45023-1.47217). After adjustment for age, sex, diabetes duration, A1C, blood pressure, and total cholesterol, increasing retinal vascular fractal dimension was significantly associated with increasing odds of retinopathy (odds ratio 3.92 [95% CI 2.02-7.61] for fourth versus first quartile of fractal dimension). In multivariate analysis, each 0.01 increase in retinal vascular fractal dimension was associated with a nearly 40% increased odds of retinopathy (1.37 [1.21-1.56]). This association remained after additional adjustment for retinal vascular caliber. CONCLUSIONS: Greater retinal fractal dimension, representing increased geometric complexity of the retinal vasculature, is independently associated with early diabetic retinopathy signs in type 1 diabetes. Fractal analysis of fundus photographs may allow quantitative measurement of early diabetic microvascular damage.