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一种用于年龄匹配 OCT 血管造影偏差映射的方法,用于评估与放射状视盘毛细血管相关的疾病变化。

A method for age-matched OCT angiography deviation mapping in the assessment of disease- related changes to the radial peripapillary capillaries.

机构信息

Department of Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai, New York, NY, United States of America.

Department of Ophthalmology, State University of New York Downstate Medical Center, Brooklyn, NY, United States of America.

出版信息

PLoS One. 2018 May 24;13(5):e0197062. doi: 10.1371/journal.pone.0197062. eCollection 2018.

DOI:10.1371/journal.pone.0197062
PMID:29795576
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5993123/
Abstract

PURPOSE

To present a method for age-matched deviation mapping in the assessment of disease-related changes to the radial peripapillary capillaries (RPCs).

METHODS

We reviewed 4.5x4.5mm en face peripapillary OCT-A scans of 133 healthy control eyes (133 subjects, mean 41.5 yrs, range 11-82 yrs) and 4 eyes with distinct retinal pathologies, obtained using spectral-domain optical coherence tomography angiography. Statistical analysis was performed to evaluate the impact of age on RPC perfusion densities. RPC density group mean and standard deviation maps were generated for each decade of life. Deviation maps were created for the diseased eyes based on these maps. Large peripapillary vessel (LPV; noncapillary vessel) perfusion density was also studied for impact of age.

RESULTS

Average healthy RPC density was 42.5±1.47%. ANOVA and pairwise Tukey-Kramer tests showed that RPC density in the ≥60yr group was significantly lower compared to RPC density in all younger decades of life (p<0.01). Average healthy LPV density was 21.5±3.07%. Linear regression models indicated that LPV density decreased with age, however ANOVA and pairwise Tukey-Kramer tests did not reach statistical significance. Deviation mapping enabled us to quantitatively and visually elucidate the significance of RPC density changes in disease.

CONCLUSIONS

It is important to consider changes that occur with aging when analyzing RPC and LPV density changes in disease. RPC density, coupled with age-matched deviation mapping techniques, represents a potentially clinically useful method in detecting changes to peripapillary perfusion in disease.

摘要

目的

提出一种用于评估与疾病相关的视盘周围毛细血管(RPC)变化的年龄匹配偏差映射方法。

方法

我们回顾了 133 只健康对照眼(133 例,平均年龄 41.5 岁,范围 11-82 岁)和 4 只具有明显视网膜病变的眼的 4.5x4.5mm 额面视盘 OCT-A 扫描。使用谱域光相干断层扫描血管造影术获得了统计学分析,以评估年龄对 RPC 灌注密度的影响。为每个生命十年生成 RPC 密度组平均值和标准偏差图。根据这些图为患病眼创建偏差图。还研究了大视盘血管(LPV;非毛细血管血管)灌注密度对年龄的影响。

结果

健康 RPC 平均密度为 42.5±1.47%。方差分析和两两 Tukey-Kramer 检验表明,≥60 岁组的 RPC 密度明显低于所有年轻年龄段的 RPC 密度(p<0.01)。健康 LPV 平均密度为 21.5±3.07%。线性回归模型表明 LPV 密度随年龄下降,但方差分析和两两 Tukey-Kramer 检验未达到统计学意义。偏差映射使我们能够定量和直观地阐明疾病中 RPC 密度变化的意义。

结论

在分析疾病中 RPC 和 LPV 密度变化时,考虑与衰老相关的变化非常重要。RPC 密度结合年龄匹配偏差映射技术,代表了一种在疾病中检测视盘周围灌注变化的潜在临床有用方法。

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