Optical Coherence Tomography Angiography (OCT-A) is a noninvasive imaging technique that allows one to see blood vessels in the retina. The investigating team used this approach in patients with acute, recurrent and persistent subtypes of Central Serous Chorioretinopathy (CSC) to check for possible Choriocapillaris hypoperfusion. The presence or absence of these microvascular changes was explored in both eyes of the patients and compared to a control group of healthy volunteers. The possibility of a correlation between Choriocapillaris flow deficits, age and spontaneous resolution of serous retinal detachment was also evaluated. This study was conducted in an effort to improve one's understanding of this disease and other pachychoroid disorders.
Study Type
OBSERVATIONAL
Enrollment
120
Optical Coherence Tomography Angiography (OCT-A) images were acquired using an Spectral Domain Optical Coherence Tomography device (Cirrus High Definition OCT Model 5000 with Angioplex; Carl Zeiss Meditec, Dublin, California, USA). With an acquisition speed of 68,000 A-Scan per second, the OCT Microangiography Complex algorithm provided OCT-A information for three-dimensional (3D) flow reconstruction. At each visit, each subject underwent a 3 x 3 millimeter (mm) macular 3D cube acquisition in both eyes. FastTrac continuous eye tracking technology was employed to control for eye movements and minimize motion artefacts.
Total number average individual area of flow signal voids
3x3 Optical Coherence Tomography Angiography (OCT-A) images on choriocapillaris slab were exported from the Angioplex software and then imported into the open-source Fiji software. Each image was binarized in black and white pixels. Thresholded areas greater than or equal to 1 white pixel were considered as flow signal voids
Time frame: 2 months
Total area of flow signal voids
3x3 Optical Coherence Tomography Angiography (OCT-A) images on choriocapillaris slab were exported from the Angioplex software and then imported into the open-source Fiji software. Each image was binarized in black and white pixels. Thresholded areas greater than or equal to 1 white pixel were considered as flow signal voids
Time frame: 2 months
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