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信号强度是应用光学相干断层扫描血管造影术分析视盘周围微血管密度的重要因素。

Signal Strength as an Important Factor in the Analysis of Peripapillary Microvascular Density Using Optical Coherence Tomography Angiography.

机构信息

Department of Ophthalmology, Chungnam National University College of Medicine, Daejeon, Republic of Korea.

Department of Ophthalmology, Armed Forces Capital Hospital, Seongnam, Republic of Korea.

出版信息

Sci Rep. 2019 Nov 8;9(1):16299. doi: 10.1038/s41598-019-52818-x.

DOI:10.1038/s41598-019-52818-x
PMID:31705032
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6841660/
Abstract

The quality of the scan image is important in peripapillary circulation analysis using optical coherence tomography angiography (OCTA). We aimed to investigate the effects of signal strength (SS) on the peripapillary microvascular density acquired from OCTA. A total of 259 eyes from 259 young healthy subjects were included. Peripapillary OCTA images using 3 × 3 mm angiography scan were acquired from all participants. Subjects were divided into four groups according to the SS: SS 7, SS 8, SS 9, and SS 10. Vessel density (VD) and perfusion density (PD) of the superficial capillary plexus were calculated. VD and PD were compared among the four groups, and linear regression analyses were performed to identify and evaluate the clinical factors associated with average VD. As the SS increased from 7 to 10, the average VD and PD increased; these increases were statistically significant (all, p < 0.001). Regression analyses showed that four factors were significantly correlated with average VD: age (partial r = 0.133), average retinal nerve fiber layer thickness (partial r = 0.169), cup/disc ratio (partial r =-0.481), and SS (partial r = 0.413). SS is a significant factor affecting peripapillary microvascular density, and its influence is similar to well-known structural parameters associated with glaucoma.

摘要

扫描图像的质量对于使用光相干断层扫描血管造影术(OCTA)进行视盘周围循环分析非常重要。我们旨在研究信号强度(SS)对 OCTA 获得的视盘周围微血管密度的影响。共纳入 259 名年轻健康受试者的 259 只眼。所有参与者均进行 3×3mm 血管造影扫描的视盘周围 OCTA 图像采集。根据 SS 将受试者分为四组:SS7、SS8、SS9 和 SS10。计算浅层毛细血管丛的血管密度(VD)和灌注密度(PD)。比较四组之间的 VD 和 PD,并进行线性回归分析以确定和评估与平均 VD 相关的临床因素。随着 SS 从 7 增加到 10,平均 VD 和 PD 增加;这些增加具有统计学意义(均,p<0.001)。回归分析显示,四个因素与平均 VD 显著相关:年龄(部分 r=0.133)、平均视网膜神经纤维层厚度(部分 r=0.169)、杯盘比(部分 r=-0.481)和 SS(部分 r=0.413)。SS 是影响视盘周围微血管密度的重要因素,其影响类似于与青光眼相关的已知结构参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c423/6841660/0f6f02e0652c/41598_2019_52818_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c423/6841660/3b9b7c4383bf/41598_2019_52818_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c423/6841660/06b587a533e6/41598_2019_52818_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c423/6841660/0f6f02e0652c/41598_2019_52818_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c423/6841660/3b9b7c4383bf/41598_2019_52818_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c423/6841660/06b587a533e6/41598_2019_52818_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c423/6841660/0f6f02e0652c/41598_2019_52818_Fig3_HTML.jpg

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