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Qinqin Zhang, Fang Zheng, Elie Motulsky, Giovanni Gregori, Zhongdi Chu, Chieh-Li Chen, Chunxia Li, Luis De Sisternes, Mary K Durbin, Philip J Rosenfeld, Ruikang K Wang; A novel strategy for quantifying choriocapillaris flow voids using swept source OCT angiography. Invest. Ophthalmol. Vis. Sci. 2018;59(9):3923. doi: https://doi.org/.
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© ARVO (1962-2015); The Authors (2016-present)
To achieve reproducible imaging of the choriocapillaris using swept source OCT angiography (SS-OCTA); to test the repeatability and reproducibility of the associated flow voids quantification based on SS-OCTA angiograms.
Subjects were enrolled and imaged by SS-OCTA using the 3 mm x 3 mm scan pattern. Blood flow was identified using the complex optical microangiography (OMAG) algorithm. The choriocapillaris was segmented and defined as a slab from the outer boundary of Bruch’s membrane (BM) to approximately 20 μm below BM. Shadowing effect caused by the RPE and BM complex on the choriocapillaris angiogram was compensated by using the structural information from the same slab. A thresholding method based on standard deviation (SD) of a normal database to calculate the percentage of flow voids from a region was developed.
Twenty normal subjects and twelve subjects with drusen were enrolled. SS-OCTA identified the choriocapillaris in normal subjects as a lobular plexus of capillaries in the central macula and the lobular arrangement became more evident towards the periphery (Fig.1). The shadowing effect of drusen on the choriocapillaris was compensated for the flow voids measurements (Fig.2). In all eyes, signal compensation resulted in fewer choriocapillaris flow voids with improved repeatability of measurements. The best repeatability for the measurement was achieved by using one standard deviation (SD) for the thresholding strategy.
SS-OCTA can image the choriocapillaris in vivo, and the repeatability of flow void measurements is high in the presence of drusen. The ability to image the choriocapillaris and associated flow voids should prove useful in understanding disease onset, progression, and response to therapies
This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.
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