自动分析 1 型糖尿病患者的视网膜微循环

IF 0.7 Q4 ENDOCRINOLOGY & METABOLISM
Diabetes Mellitus Pub Date : 2024-03-19 DOI:10.14341/dm12931
Y. Yusef, M. Durzhinskaya, V. Pavlov, D. Petrachkov, I. Gurevich, V. Yashina, A. Tleubaev, V. V. Fadeyev, I. Poluboyarinova, A. E. Goldsmid, R. A. Karamullina, D. Lipatov, M. Budzinskaya
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The analysis of the OCT-A parameters was performed with a specially developed software. The range of studied parameters included: foveal avascular zone (FAZ), vessel area density (VAD), skeletonized vessel density (VSD), vessel diameter index (VDI), vascular curvature index (VCI) at the level of superficial (SCP) and deep (DCP) retinal capillary plexuses in the macular region. A correlation between the involvement of OCT-A biomarkers and age, degree of DM, increased glycated hemoglobin (HbA1c) level, stage of DR, and maximally corrected visual acuity (BCVA) was analysed.RESULTS: A significant dependence of all quantitative OCT-A parameters on the age of and duration of diabetes (p<0.05) was revealed. 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引用次数: 0

摘要

背景:本文致力于评估具有不同临床病程特征和不同糖尿病视网膜病变(DR)阶段的 1 型糖尿病(DM)患者的视网膜微血管。利用专门开发的软件对光学相干断层血管造影(OCT-A)进行了自动分析,该软件能够估算定量血管参数。研究目的:该研究旨在利用 OCT-A 分析的新算法评估 1 型糖尿病临床参数和成像生物标志物的诊断准确性。使用专门开发的软件对 OCT-A 参数进行分析。研究参数范围包括:黄斑区浅层(SCP)和深层(DCP)视网膜毛细血管丛水平的眼窝无血管区(FAZ)、血管面积密度(VAD)、骨架化血管密度(VSD)、血管直径指数(VDI)、血管曲率指数(VCI)。结果:所有定量 OCT-A 参数与糖尿病年龄和持续时间有显著相关性(P0.05)。结论:通过对临床数据和成像生物标志物的综合分析,发现了一些对糖尿病视网膜病变具有诊断价值的模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated analysis of retinal microcirculation in type 1 diabetes mellitus
BACKGROUND: The paper is dedicated to the assessment of the retinal microvasculature in patients with type 1 diabetes mellitus (DM) with various features of the clinical course and different stages of diabetic retinopathy (DR). Automatic analysis of optical coherence tomogram angiograms (OCT-A) was carried out with specially developed software that provides the ability to estimate quantitative vascular parameters.AIM: The purpose of the study was to assess diagnostic accuracy of clinical parameters and imaging biomarkers in type 1 diabetes using a new algorithm for OCT-A analysis.MATERIALS AND METHODS: The study involved 186 people (365 eyes) with type 1 diabetes. The analysis of the OCT-A parameters was performed with a specially developed software. The range of studied parameters included: foveal avascular zone (FAZ), vessel area density (VAD), skeletonized vessel density (VSD), vessel diameter index (VDI), vascular curvature index (VCI) at the level of superficial (SCP) and deep (DCP) retinal capillary plexuses in the macular region. A correlation between the involvement of OCT-A biomarkers and age, degree of DM, increased glycated hemoglobin (HbA1c) level, stage of DR, and maximally corrected visual acuity (BCVA) was analysed.RESULTS: A significant dependence of all quantitative OCT-A parameters on the age of and duration of diabetes (p<0.05) was revealed. An increase in FAZ SCP (K=0.788, p=0) and DCP (K=0.764, p=0.03); decrease in VAD SCP (K=-0.476, p=0) and DCP (K=-0.485, p=0); VSD SCP (K=0.692, p=0) and DCP (K=0.713, p=0); an increase in VDI SCP (K=0.698, p=0) and DCP (K=787, p<0.01), as well as an increase in the VCI SCP (K=0.735, p=0) and DCP (K=0.694, p p=0). An inverse relationship was found between HbA1c level and VAD SCP (K=-0.636, p=0) and DCP (K=-0.619, p=0.05) were identified as well as a direct relationship with VDI DCP (K=0.717, p<0.05). The influence of the HbA1c level on other parameters was not confirmed (p>0.05). The presence of correlation between BCVA and FAZ DCP (K=-0.728, p=0), as well as VSD DCP (K=-0.754, p=0) was proved.CONCLUSION: As a result of a comprehensive analysis of clinical data and imaging biomarkers, a number of patterns that have diagnostic value in diabetic retinopathy were identified.
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来源期刊
Diabetes Mellitus
Diabetes Mellitus ENDOCRINOLOGY & METABOLISM-
CiteScore
1.90
自引率
40.00%
发文量
61
审稿时长
7 weeks
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