Literature DB >> 23492950

Analysis of retinal capillaries in patients with type 1 diabetes and nonproliferative diabetic retinopathy using adaptive optics imaging.

Marco Lombardo1, Mariacristina Parravano, Sebastiano Serrao, Pietro Ducoli, Mario Stirpe, Giuseppe Lombardo.   

Abstract

PURPOSE: To illustrate a noninvasive method to analyze the retinal capillary lumen caliber in patients with Type 1 diabetes.
METHODS: Adaptive optics imaging of the retinal capillaries were acquired in two parafoveal regions of interest in eyes with nonproliferative diabetic retinopathy and unaffected controls. Measures of the retinal capillary lumen caliber were quantified using an algorithm written in Matlab by an independent observer in a masked manner. Comparison of the adaptive optics images with red-free and color wide fundus retinography images was also assessed.
RESULTS: Eight eyes with nonproliferative diabetic retinopathy (eight patients, study group), no macular edema, and preserved visual acuity and eight control eyes (eight healthy volunteers; control group) were analyzed. The repeatability of capillary lumen caliber measurements was 0.22 μm (3.5%) with the 95% confidence interval between 0.12 and 0.31 μm in the study group. It was 0.30 μm (4.1%) with the 95% confidence interval between 0.16 and 0.43 μm in the control group. The average capillary lumen caliber was significantly narrower in eyes with nonproliferative diabetic retinopathy (6.27 ± 1.63 μm) than in the control eyes (7.31 ± 1.59 μm, P = 0.002).
CONCLUSION: The authors demonstrated a noninvasive method to analyze, with micrometric scale of resolution, the lumen of retinal capillaries. The parafoveal capillaries were narrower in patients with Type 1 diabetes and nonproliferative diabetic retinopathy than in healthy subjects, showing the potential capability of adaptive optics imaging to detect pathologic variations of the retinal microvascular structures in vaso-occlusive diseases.

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Year:  2013        PMID: 23492950     DOI: 10.1097/IAE.0b013e3182899326

Source DB:  PubMed          Journal:  Retina        ISSN: 0275-004X            Impact factor:   4.256


  35 in total

1.  Assessment of Different Sampling Methods for Measuring and Representing Macular Cone Density Using Flood-Illuminated Adaptive Optics.

Authors:  Shu Feng; Michael J Gale; Jonathan D Fay; Ambar Faridi; Hope E Titus; Anupam K Garg; Keith V Michaels; Laura R Erker; Dawn Peters; Travis B Smith; Mark E Pennesi
Journal:  Invest Ophthalmol Vis Sci       Date:  2015-09       Impact factor: 4.799

2.  In vivo adaptive optics microvascular imaging in diabetic patients without clinically severe diabetic retinopathy.

Authors:  Stephen A Burns; Ann E Elsner; Toco Y Chui; Dean A Vannasdale; Christopher A Clark; Thomas J Gast; Victor E Malinovsky; Anh-Danh T Phan
Journal:  Biomed Opt Express       Date:  2014-02-27       Impact factor: 3.732

3.  Carbamylated erythropoietin mediates retinal neuroprotection in streptozotocin-induced early-stage diabetic rats.

Authors:  Xiaojing Liu; Bijun Zhu; Haidong Zou; Daode Hu; Qing Gu; Kun Liu; Xun Xu
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2015-03-01       Impact factor: 3.117

4.  Comparison of adaptive optics scanning light ophthalmoscopic fluorescein angiography and offset pinhole imaging.

Authors:  Toco Y P Chui; Michael Dubow; Alexander Pinhas; Nishit Shah; Alexander Gan; Rishard Weitz; Yusufu N Sulai; Alfredo Dubra; Richard B Rosen
Journal:  Biomed Opt Express       Date:  2014-03-13       Impact factor: 3.732

5.  Assessment of perfused foveal microvascular density and identification of nonperfused capillaries in healthy and vasculopathic eyes.

Authors:  Alexander Pinhas; Moataz Razeen; Michael Dubow; Alexander Gan; Toco Y Chui; Nishit Shah; Mitul Mehta; Ronald C Gentile; Rishard Weitz; Joseph B Walsh; Yusufu N Sulai; Joseph Carroll; Alfredo Dubra; Richard B Rosen
Journal:  Invest Ophthalmol Vis Sci       Date:  2014-11-20       Impact factor: 4.799

Review 6.  Adaptive optics retinal imaging--clinical opportunities and challenges.

Authors:  Joseph Carroll; David B Kay; Drew Scoles; Alfredo Dubra; Marco Lombardo
Journal:  Curr Eye Res       Date:  2013-04-26       Impact factor: 2.424

7.  Retinal imaging using adaptive optics technology.

Authors:  Igor Kozak
Journal:  Saudi J Ophthalmol       Date:  2014-02-26

8.  The proteasome as a druggable target with multiple therapeutic potentialities: Cutting and non-cutting edges.

Authors:  G R Tundo; D Sbardella; A M Santoro; A Coletta; F Oddone; G Grasso; D Milardi; P M Lacal; S Marini; R Purrello; G Graziani; M Coletta
Journal:  Pharmacol Ther       Date:  2020-05-19       Impact factor: 12.310

9.  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

10.  Classification of human retinal microaneurysms using adaptive optics scanning light ophthalmoscope fluorescein angiography.

Authors:  Michael Dubow; Alexander Pinhas; Nishit Shah; Robert F Cooper; Alexander Gan; Ronald C Gentile; Vernon Hendrix; Yusufu N Sulai; Joseph Carroll; Toco Y P Chui; Joseph B Walsh; Rishard Weitz; Alfredo Dubra; Richard B Rosen
Journal:  Invest Ophthalmol Vis Sci       Date:  2014-03-04       Impact factor: 4.799

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