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利用超广角荧光素血管造影术检测糖尿病视网膜病变的定量生物标志物

Quantitative Biomarkers of Diabetic Retinopathy Using Ultra-Widefield Fluorescein Angiography.

作者信息

Fleifil Salma, Azzouz Lyna, Yu Gina, Powell Corey, Bommakanti Nikhil, Paulus Yannis M

机构信息

Department of Ophthalmology and Visual Sciences, W. K. Kellogg Eye Center University of Michigan Medical School, Ann Arbor, MI, USA.

Department of Statistics, University of Michigan, Ann Arbor, MI, USA.

出版信息

Clin Ophthalmol. 2024 Jul 8;18:1961-1970. doi: 10.2147/OPTH.S462223. eCollection 2024.

Abstract

INTRODUCTION

Diabetic retinopathy (DR) is a leading cause of blindness. Retinal imaging is an important tool to monitor the progression of DR. While seven-standard retinal fields are the traditional method for evaluating DR, ultra-widefield (UWF) imaging allows for improved visualization of peripheral areas of nonperfusion (NP) and neovascularization (NV), which could be used as biomarkers to monitor and predict progression of DR.

METHODS

A retrospective, cross-sectional study was conducted on 651 eyes from 363 patients diagnosed with type 1 or type 2 diabetes who received UWF-FA over 10 years. Fluorescein Angiography (FA) images were segmented, and surface areas of NP and NV were analyzed using multivariate regression to determine if biomarkers of DR and DR severity are associated with increasing areas of NP and NV.

RESULTS

Each additional year with a diagnosis of DR was associated with a 10.75 mm increase in the total NP (95% CI, 1.94-19.56; P = 0.02) and 7.87 mm increase in NP far-periphery (95% CI, 1.62-14.13; P = 0.01). A one-unit change in severity as defined by the Early Treatment of Diabetic Retinopathy Study (ETDRS) classification was associated with a 25.75 mm increase in total NP (95% CI, 11.16-40.33; P = 0.001), a 13.15 mm increase in mid-periphery NP (95% CI, 6.93-19.38; P < 0.0001), and a 12.29 mm increase in far-periphery NP (95% CI, 3.62-20.97; P = 0.01).

DISCUSSION

Biomarkers identified through UWF imaging such as total and regional areas of NP can be used to monitor and predict the progression of DR. This may provide a quantitative method for prognostication in patients with DR.

摘要

引言

糖尿病性视网膜病变(DR)是导致失明的主要原因。视网膜成像为监测DR进展的重要工具。虽然七标准视网膜区域是评估DR的传统方法,但超广角(UWF)成像可改善对无灌注(NP)和新生血管形成(NV)周边区域的可视化,其可作为监测和预测DR进展的生物标志物。

方法

对363例诊断为1型或2型糖尿病的患者在10年期间接受UWF-FA检查的651只眼进行回顾性横断面研究。对荧光素血管造影(FA)图像进行分割,并使用多元回归分析NP和NV的表面积,以确定DR生物标志物和DR严重程度是否与NP和NV面积增加相关。

结果

每增加一年的DR诊断,总NP增加10.75 mm(95%CI,1.94-19.56;P = 0.02),远周边NP增加7.87 mm(95%CI,1.62-14.13;P = 0.01)。糖尿病视网膜病变早期治疗研究(ETDRS)分类定义的严重程度每变化一个单位,总NP增加25.75 mm(95%CI,11.16-40.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0449/11244066/ed6613d25b06/OPTH-18-1961-g0001.jpg

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