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<p>Standardized sensitivity of OCTA-derived metrics to segmentation offset across devices and plexuses. This table summarizes the linear slope, standardized slope, and slope-derived relative change per 10 µm of six OCTA-derived microvascular parameters: vessel area density (VAD), total vessel length (TVL), vessel length density (VLD), number of vascular nodes, branchpoint density (BD), and foveal avascular zone (FAZ) area. These are analyzed across three commercial OCTA systems (DREAM, Cirrus, Triton) and two vascular layers (superficial capillary plexus [SCP] and deep capillary plexus [DCP]). The slope indicates the modeled change in the respective metric for each 1 µm segmentation offset, as estimated by linear mixed-effects modeling. The standardized slope is obtained by dividing the absolute slope by the standard deviation (SD) of the corresponding metric at a 0 µm offset, enabling comparison of sensitivity across different metrics and units. The slope-derived relat</p>

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NIAID Data Ecosystem2026-05-10 收录
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Standardized sensitivity of OCTA-derived metrics to segmentation offset across devices and plexuses. This table summarizes the linear slope, standardized slope, and slope-derived relative change per 10 µm of six OCTA-derived microvascular parameters: vessel area density (VAD), total vessel length (TVL), vessel length density (VLD), number of vascular nodes, branchpoint density (BD), and foveal avascular zone (FAZ) area. These are analyzed across three commercial OCTA systems (DREAM, Cirrus, Triton) and two vascular layers (superficial capillary plexus [SCP] and deep capillary plexus [DCP]). The slope indicates the modeled change in the respective metric for each 1 µm segmentation offset, as estimated by linear mixed-effects modeling. The standardized slope is obtained by dividing the absolute slope by the standard deviation (SD) of the corresponding metric at a 0 µm offset, enabling comparison of sensitivity across different metrics and units. The slope-derived relat

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2026-02-27
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