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Abstract
We assessed the inter-visit repeatability of 15 × 9-mm2 swept-source OCTA (SS-OCTA; PLEX Elite 9000, Carl Zeiss Meditec) metrics in 14 healthy participants. We analysed the perfusion density (PD) of large vessels, superficial capillary plexus (SCP), and deep capillary plexus (DCP) as well as choriocapillaris flow voids in 2 different regions: the macular region and peripheral region. Also, retinal plexus metrics were processed further using different filters (Hessian, Gabor and Bayesian) while choriocapillaris flow voids were calculated with 1 and 1.25 standard deviation (SD) thresholding algorithms. We found excellent repeatability in the perfusion densities of large vessels (ICC > 0.96). Perfusion densities varied with different filters in the macular region (SCP: 24.12–38.57% and DCP: 25.16–38.50%) and peripheral (SCP: 30.52–39.84% and DCP: 34.19–41.60%) regions. The ICCs were lower in the macular region compared to the peripheral region and lower for DCP than for SCP. For choriocapillaris flow voids, the 1.25 SD threshold resulted in fewer flow voids, while a good ICC (ICC > 0.81) was achieved using either threshold settings for flow void features in both regions. Our results suggest good repeatability of widefield SS-OCTA for the measurements of retinal perfusion density and choriocapillaris flow voids, but measurements from different filters should not be interchanged.
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1 Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore (GRID:grid.419272.b) (ISNI:0000 0000 9960 1711); Singapore General Hospital, Department of Internal Medicine, Singapore, Singapore (GRID:grid.163555.1) (ISNI:0000 0000 9486 5048)
2 Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore (GRID:grid.419272.b) (ISNI:0000 0000 9960 1711); SERI-NTU Advanced Ocular Engineering (STANCE), Singapore, Singapore (GRID:grid.272555.2) (ISNI:0000 0001 0706 4670)
3 Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore (GRID:grid.419272.b) (ISNI:0000 0000 9960 1711); SERI-NTU Advanced Ocular Engineering (STANCE), Singapore, Singapore (GRID:grid.272555.2) (ISNI:0000 0001 0706 4670); Institute of Health Technologies, Nanyang Technological University, Singapore, Singapore (GRID:grid.59025.3b) (ISNI:0000 0001 2224 0361)
4 Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore (GRID:grid.419272.b) (ISNI:0000 0000 9960 1711); SERI-NTU Advanced Ocular Engineering (STANCE), Singapore, Singapore (GRID:grid.272555.2) (ISNI:0000 0001 0706 4670); Institute of Health Technologies, Nanyang Technological University, Singapore, Singapore (GRID:grid.59025.3b) (ISNI:0000 0001 2224 0361); Ophthalmology and Visual Sciences Academic Clinical Program, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431); Medical University of Vienna, Department of Clinical Pharmacology, Vienna, Austria (GRID:grid.22937.3d) (ISNI:0000 0000 9259 8492); Medical University of Vienna, Center for Medical Physics and Biomedical Engineering, Vienna, Austria (GRID:grid.22937.3d) (ISNI:0000 0000 9259 8492); Institute of Molecular and Clinical Ophthalmology, Basel, Switzerland (GRID:grid.508836.0)
5 Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore (GRID:grid.419272.b) (ISNI:0000 0000 9960 1711); SERI-NTU Advanced Ocular Engineering (STANCE), Singapore, Singapore (GRID:grid.272555.2) (ISNI:0000 0001 0706 4670); Ophthalmology and Visual Sciences Academic Clinical Program, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431)