2017
DOI: 10.1038/s41598-017-02767-0
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Determinants of Quantitative Optical Coherence Tomography Angiography Metrics in Patients with Diabetes

Abstract: Early microvascular damage in diabetes (e.g. capillary nonperfusion and ischemia) can now be assessed and quantified with optical coherence tomography-angiography (OCT-A). The morphology of vascular tissue is indeed affected by different factors; however, there is a paucity of data examining whether OCT-A metrics are influenced by ocular, systemic and demographic variables in subjects with diabetes. We conducted an observational cross-sectional study and included 434 eyes from 286 patients with diabetes. Fovea… Show more

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Cited by 168 publications
(181 citation statements)
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“…The details of the algorithm were reported in our previous publication 10. The following parameters were calculated: The area of FAZ was measured by counting the total number of pixels within FAZ in a scale multiplying the dimension of a pixel.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The details of the algorithm were reported in our previous publication 10. The following parameters were calculated: The area of FAZ was measured by counting the total number of pixels within FAZ in a scale multiplying the dimension of a pixel.…”
Section: Methodsmentioning
confidence: 99%
“…Existing studies have reported enlarged foveal avascular zone (FAZ) area in retinal ischaemic diseases such as diabetic retinopathy (DR)10 and retinal vascular obstruction (RVO)11; decreased FAZ area in retinopathy of prematurity12; decreased vessel density in DR10 and glaucoma13; lower fractal dimension in RVO,11 DR10 and uveitis eyes14; increased vessel diameter index (VDI) in RVO11 and DR10; and decreased FAZ circularity in glaucoma15 and DR 10. These studies demonstrate that quantitative OCTA metrics may provide useful information for the diagnosis of ocular diseases potentially.…”
Section: Introductionmentioning
confidence: 99%
“…En-face OCT-A images are imported into an automated customised MATLAB programme for image analysis, which has been described previously 10. The area of the FAZ (mm 2 ) was calculated by counting total numbers of pixels within the region in scale.…”
Section: Methodsmentioning
confidence: 99%
“…FAZ circularity was defined as the ratio of FAZ area and the theoretical area, which was a re-projected circle with the same perimeter as FAZ area, with a range of 0.0 to –1.0 10. VD was calculated as the percentage of area not defined as non-perfusion regions (dark areas from the binarized image >0.02 mm)2 20 over total area within the parafoveal region (an annulus with an outer diameter of 3 mm and an inner diameter of 1 mm) 10. ICA was determined by detecting the connected components of the dark areas from the binarized image within the parafoveal region.…”
Section: Methodsmentioning
confidence: 99%
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