Literature DB >> 20176399

Retinal vascular fractals and microvascular and macrovascular complications in type 1 diabetes.

Jakob Grauslund1, Anders Green, Ryo Kawasaki, Lauren Hodgson, Anne Katrin Sjølie, Tien Y Wong.   

Abstract

PURPOSE: Fractal analysis is a method to quantify the geometric pattern and complexity of the retinal vessels. This study examined the association of retinal fractal dimension (D(f)) and microvascular and macrovascular complications in a population-based cohort of Danish patients with type 1 diabetes.
DESIGN: Cross-sectional study. PARTICIPANTS: This was a cross-sectional study of 208 long-term surviving type 1 diabetes patients from a population-based Danish cohort identified in 1973.
METHODS: Retinal photographs were obtained at a clinical examination in 2007 or 2008. D(f) was measured with a semiautomatic computer-based program (International Retinal Imaging Software; National University of Singapore, Republic of Singapore; University of Sydney, Sydney, and University of Melbourne, Melbourne, Australia). D(f) of the retinal vasculature was measured within a predefined circular region of 3.5 optic disc radii centered on the optic disc. Line tracing of the vasculature was provided by the program. Any artifacts were removed by the grader, and the box-counting method then was used by the program to calculate D(f). MAIN OUTCOME MEASURES: The association of D(f) with proliferative retinopathy, nephropathy, neuropathy, and macrovascular disease (coronary heart disease, stroke, peripheral artery disease) was examined.
RESULTS: Retinal fractals were gradable in at least 1 eye in 178 (86.6%) of 208 patients. Median age and duration of diabetes for these patients were 57.8 years and 42 years, respectively. Median D(f) was 1.4610 (range, 1.3774-1.5188). After adjustments for age, gender, duration of diabetes, systolic blood pressure, and smoking, persons with lower D(f) were more likely to have proliferative retinopathy (odds ratio [OR], 1.45 per standard deviation [SD] decrease in D(f); 95% confidence interval [CI], 1.04-2.03) and neuropathy (OR, 1.42 per SD decrease in D(f); 95% CI, 1.01-2.01). There was also a trend of an association between lower D(f) and nephropathy (OR, 1.39 per SD decrease in D(f); 95% CI, 0.97-2.01) but not macrovascular disease. Furthermore, persons with lower D(f) were older.
CONCLUSIONS: This study adds to the evidence that D(f) may have some role as a global measure of retinal vasculature and its association with systemic disease. Prospective studies clarifying this role are needed. FINANCIAL DISCLOSURE(S): The author(s) have no proprietary or commercial interest in any materials discussed in this article. Copyright 2010 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20176399     DOI: 10.1016/j.ophtha.2009.10.047

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


  38 in total

Review 1.  The clinical implications of recent studies on the structure and function of the retinal microvasculature in diabetes.

Authors:  Carol Yimlui Cheung; M Kamran Ikram; Ronald Klein; Tien Yin Wong
Journal:  Diabetologia       Date:  2015-02-11       Impact factor: 10.122

2.  Retinal vascular fractals predict long-term microvascular complications in type 1 diabetes mellitus: the Danish Cohort of Pediatric Diabetes 1987 (DCPD1987).

Authors:  Rebecca Broe; Malin L Rasmussen; Ulrik Frydkjaer-Olsen; Birthe S Olsen; Henrik B Mortensen; Tunde Peto; Jakob Grauslund
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3.  Analysis of normal human retinal vascular network architecture using multifractal geometry.

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4.  The effect of type-2-diabetes-related vascular endothelial dysfunction on skin physiology and activities of daily living.

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6.  Prediction, by retinal location, of the onset of diabetic edema in patients with nonproliferative diabetic retinopathy.

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7.  Retinal vascular tortuosity in persons with diabetes and diabetic retinopathy.

Authors:  M B Sasongko; T Y Wong; T T Nguyen; C Y Cheung; J E Shaw; J J Wang
Journal:  Diabetologia       Date:  2011-05-29       Impact factor: 10.122

8.  Multifractal and lacunarity analysis of microvascular morphology and remodeling.

Authors:  Daniel J Gould; Tegy J Vadakkan; Ross A Poché; Mary E Dickinson
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9.  Retinal vascular geometry and its association to microvascular complications in patients with type 1 diabetes: the Danish Cohort of Pediatric Diabetes 1987 (DCPD1987).

Authors:  M L Rasmussen; R Broe; U Frydkjaer-Olsen; B S Olsen; H B Mortensen; T Peto; J Grauslund
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2016-08-12       Impact factor: 3.117

10.  Automated fine structure image analysis method for discrimination of diabetic retinopathy stage using conjunctival microvasculature images.

Authors:  Maziyar M Khansari; William O'Neill; Richard Penn; Felix Chau; Norman P Blair; Mahnaz Shahidi
Journal:  Biomed Opt Express       Date:  2016-06-16       Impact factor: 3.732

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