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      Optical coherence tomography angiography vessel density in children with type 1 diabetes

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          Abstract

          Purpose

          To assess the optical coherence tomography angiography (OCTA) retinal vessel density and foveal avascular zone (FAZ) in children with type 1 diabetes (T1D) and compare potential pathologic early changes in this population to healthy age-matched controls.

          Methods

          This study included 130 pubescent children: 94 with T1D (188 eyes) and 36 of their age-matched control group (60 eyes). OCTA was performed using AngioVue (Avanti, Optivue). FAZ area (mm 2) in superficial plexus, whole superficial capillary vessel density (wsVD), fovea superficial vessel density (fsVD), parafovea superficial vessel density (psVD), whole deep vessel density (wdVD), fovea deep vessel density (fdVD), parafovea deep vessel density (pdVD), foveal thickness (FT) (μm) and parafoveal thickness (PFT) (μm) were taken into analysis. Among the studied patients with T1D there were assessed codependences regarding the investigated foveal and parafoveal parameters and selected potential predictors, i.e. patient’s age (years), diabetes duration time (years), age of onset of the disease (years), mean level of glycated hemoglobin (HbA1C) (%), and concentration of serum creatinine (mg/dL).

          Results

          None of the abovementioned OCT and OCTA parameters was statistically significantly different between the groups. The patient’s age statistically significantly did not influent any of the OCT and OCTA parameters. Yet an elevated level of HbA1C tended to reduce the parafovea superficial vessel density (p = 0.039), and parafoveal thickness (p = 0.003) and an increased serum creatinine level correlated with the decreased whole deep vessel density (p < 0.001). The parafovea deep vessel density in the diabetic patients decreased when the serum creatinine level (p = 0.008), age of onset of the disease (p = 0.028), and diabetes duration time (p = 0.014) rose.

          Conclusions

          Vessel density, both in superficial and deep plexuses, and FAZ area are normal in pubescent children with T1D comparing to healthy subjects. An elevated level of HbA1C correlated with reduced psVD and PFT. Longitudinal observation of these young patients is needed to determine if any of these OCTA measurements are predictive of future DR severity.

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          Most cited references25

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          Split-spectrum amplitude-decorrelation angiography with optical coherence tomography

          Amplitude decorrelation measurement is sensitive to transverse flow and immune to phase noise in comparison to Doppler and other phase-based approaches. However, the high axial resolution of OCT makes it very sensitive to the pulsatile bulk motion noise in the axial direction. To overcome this limitation, we developed split-spectrum amplitude-decorrelation angiography (SSADA) to improve the signal-to-noise ratio (SNR) of flow detection. The full OCT spectrum was split into several narrower bands. Inter-B-scan decorrelation was computed using the spectral bands separately and then averaged. The SSADA algorithm was tested on in vivo images of the human macula and optic nerve head. It significantly improved both SNR for flow detection and connectivity of microvascular network when compared to other amplitude-decorrelation algorithms.
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            ENLARGEMENT OF FOVEAL AVASCULAR ZONE IN DIABETIC EYES EVALUATED BY EN FACE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY.

            To evaluate the area of the foveal avascular zone (FAZ) detected by en face OCTA (AngioVue, Avanti OCT; Optovue) in healthy and diabetic eyes.
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              Incidence of childhood type 1 diabetes worldwide. Diabetes Mondiale (DiaMond) Project Group.

              To investigate and monitor the patterns in incidence of childhood type 1 diabetes worldwide. The incidence of type 1 diabetes (per 100,000 per year) from 1990 to 1994 was determined in children 350-fold variation in the incidence among the 100 populations worldwide. The global pattern of variation in incidence was evaluated by arbitrarily grouping the populations with a very low ( or =20/100,000 per year) incidence. Of the European populations, 18 of 39 had an intermediate incidence, and the remainder had a high or very high incidence. A very high incidence (> or =20/ 100,000 per year) was found in Sardinia, Finland, Sweden, Norway Portugal, the U.K., Canada, and New Zealand. The lowest incidence (<1/100,000 per year) was found in the populations from China and South America. In most populations, the incidence increased with age and was the highest among children 10-14 years of age. The range of global variation in the incidence of childhood type 1 diabetes is even larger than previously described. The earlier reported polar-equatorial gradient in the incidence does not seem to be as strong as previously assumed, but the variation seems to follow ethnic and racial distribution in the world population.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Writing – original draft
                Role: Data curationRole: Funding acquisitionRole: InvestigationRole: Writing – original draft
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Project administration
                Role: MethodologyRole: Project administrationRole: SupervisionRole: Validation
                Role: Data curationRole: Formal analysis
                Role: Data curationRole: Formal analysis
                Role: ConceptualizationRole: MethodologyRole: Supervision
                Role: ConceptualizationRole: MethodologyRole: Supervision
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                20 October 2017
                2017
                : 12
                : 10
                : e0186479
                Affiliations
                [1 ] Department of Ophthalmology, The Children's Memorial Health Institute, Aleja Dzieci Polskich 20, Warsaw, Poland
                [2 ] Department of Diabetology and Endocrinology The Children's Memorial Health Institute, Aleja Dzieci Polskich 20, Warsaw, Poland
                [3 ] Department of Medicine and Health Sciences, Jan Kochanowski Memorial University of Kielce, Kielce, Poland
                [4 ] Ophthalmology Clinic of St. John Boni Fratres Lodziensis, Łódź, Poland
                Weill Cornell Medical College, QATAR
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-3013-4363
                Article
                PONE-D-17-28676
                10.1371/journal.pone.0186479
                5650189
                29053718
                4b82caef-5412-493f-809d-07d2f5f402ed
                © 2017 Gołębiewska et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 2 August 2017
                : 2 October 2017
                Page count
                Figures: 4, Tables: 2, Pages: 11
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Endocrinology
                Endocrine Disorders
                Diabetes Mellitus
                Medicine and Health Sciences
                Metabolic Disorders
                Diabetes Mellitus
                Medicine and health sciences
                Diagnostic medicine
                Diabetes diagnosis and management
                HbA1c
                Biology and life sciences
                Biochemistry
                Proteins
                Hemoglobin
                HbA1c
                Biology and Life Sciences
                Anatomy
                Head
                Eyes
                Medicine and Health Sciences
                Anatomy
                Head
                Eyes
                Biology and Life Sciences
                Anatomy
                Ocular System
                Eyes
                Medicine and Health Sciences
                Anatomy
                Ocular System
                Eyes
                Biology and Life Sciences
                Biochemistry
                Biomarkers
                Creatinine
                Medicine and Health Sciences
                Ophthalmology
                Retinal Disorders
                Retinopathy
                Diabetic Retinopathy
                Biology and Life Sciences
                Anatomy
                Ocular System
                Ocular Anatomy
                Fovea Centralis
                Medicine and Health Sciences
                Anatomy
                Ocular System
                Ocular Anatomy
                Fovea Centralis
                Medicine and Health Sciences
                Ophthalmology
                Eye Diseases
                Medicine and Health Sciences
                Diagnostic Medicine
                Diagnostic Radiology
                Tomography
                Research and Analysis Methods
                Imaging Techniques
                Diagnostic Radiology
                Tomography
                Medicine and Health Sciences
                Radiology and Imaging
                Diagnostic Radiology
                Tomography
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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