2019
DOI: 10.1136/annrheumdis-2018-214541
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Evaluation of retinal microvascular perfusion in systemic sclerosis: a case–control study

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Cited by 23 publications
(21 citation statements)
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“…Our study group previously suggested reduced perfusion of the retina in patients with SSc by using OCTA [14]. Likewise, we found significant impairment of all choroidal sublayers in SSc patients compared to healthy subjects [15].…”
Section: Introductionsupporting
confidence: 70%
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“…Our study group previously suggested reduced perfusion of the retina in patients with SSc by using OCTA [14]. Likewise, we found significant impairment of all choroidal sublayers in SSc patients compared to healthy subjects [15].…”
Section: Introductionsupporting
confidence: 70%
“…Each angiogram was exported into ImageJ (NIH, Version 1.48b, Bethesda, USA) and binarized by the Otsu method, which is an automatic threshold selection from grey-level histograms, to determine the percentage of white and black pixels [24]. Superficial retinal perfusion (SRP), deep retinal perfusion (DRP) and full retinal perfusion (FRP), as well as CC perfusion (CCP), were calculated by scoring the percentage of white pixels in relation to the number of total pixels, while for SL perfusion (SLP) and HL perfusion (HLP) the percentage of black pixels was taken into account [14,19,25].…”
Section: Methodsmentioning
confidence: 99%
“…The OCT-A measurements were performed at the same time of the day (specifically, 3:00-5:00 pm) in both patients and controls [14,[22][23][24]. Thicknesses at the whole image, foveal, and parafoveal zone were measured by OCT [9,10,25].…”
Section: Methodsmentioning
confidence: 99%
“…In this context, the analysis of increased vascular permeability in retina might be a reasonable tool to explore vasoregulatory aspects of HAE due to C1INH deficiency. Optical Coherent Tomography Angiography (OCT-A) is a noninvasive imaging technique that is able to visualize the retinal microvasculature detecting blood flow without intravenous dye injection [9,10] .…”
Section: Introductionmentioning
confidence: 99%
“…Each acquired en face image was exported into ImageJ (NIH, Version 1.52e, Bethesda, Rockville, MD, USA) and binarized using the Otsu method, an automatic threshold selection from gray-level histograms, by using the command path Image > Adjust > Threshold > Auto in order to determine the percentage of white and black pixels [22]. As in previous publications, SCP perfusion (SCPP), DCP perfusion (DCPP) and CC perfusion (CCP) were calculated by recording the percentage of white pixels, while for SL perfusion (SLP) and HL perfusion (HLP) black pixels were scored [4,23,24].…”
Section: Methodsmentioning
confidence: 99%