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2型糖尿病患者视网膜内各层厚度与合并糖尿病神经病变的关系:一项使用OCT数据分析偏差图的横断面研究结果

Thickness of Intraretinal Layers in Patients with Type 2 Diabetes Mellitus Depending on a Concomitant Diabetic Neuropathy: Results of a Cross-Sectional Study Using Deviation Maps for OCT Data Analysis.

作者信息

Prakasam Ruby Kala, Matuszewska-Iwanicka Aleksandra, Fischer Dagmar-Christiane, Schumann Heidrun, Tschöpe Diethelm, Stratmann Bernd, Hettlich Hans-Joachim, Guthoff Rudolf F, Stachs Oliver, Röhlig Martin

机构信息

Department of Ophthalmology, University Medical Center Rostock, Doberaner Str. 140, 18057 Rostock, Germany.

Professor Brien Holden Eye Research Centre, L V Prasad Eye Institute, Road 2 Banjara Hills, Hyderabad 500034, India.

出版信息

Biomedicines. 2020 Jul 2;8(7):190. doi: 10.3390/biomedicines8070190.

Abstract

Optical coherence tomography (OCT) supports the detection of thickness changes in intraretinal layers at an early stage of diabetes mellitus. However, the analysis of OCT data in cross-sectional studies is complex and time-consuming. We introduce an enhanced deviation map-based analysis (MA) and demonstrate its effectiveness in detecting early changes in intraretinal layer thickness in adults with type 2 diabetes mellitus (T2DM) compared to common early treatment diabetic retinopathy study (ETDRS) grid-based analysis (GA). To this end, we obtained OCT scans of unilateral eyes from 33 T2DM patients without diabetic retinopathy and 40 healthy controls. The patients were categorized according to concomitant diabetic peripheral neuropathy (DN). The results of MA and GA demonstrated statistically significant differences in retinal thickness between patients and controls. Thinning was most pronounced in total retinal thickness and the thickness of the inner retinal layers in areas of the inner macular ring, selectively extending into areas of the outer macular ring and foveal center. Patients with clinically proven DN showed the strongest thinning of the inner retinal layers. MA showed additional areas of thinning whereas GA tended to underestimate thickness changes, especially in areas with localized thinning. We conclude that MA enables a precise analysis of retinal thickness data and contributes to the understanding of localized changes in intraretinal layers in adults with T2DM.

摘要

光学相干断层扫描(OCT)有助于在糖尿病早期检测视网膜内层厚度的变化。然而,横断面研究中OCT数据的分析复杂且耗时。我们引入了一种基于增强偏差图的分析方法(MA),并证明与常见的基于早期治疗糖尿病性视网膜病变研究(ETDRS)网格的分析方法(GA)相比,它在检测2型糖尿病(T2DM)成年患者视网膜内层厚度早期变化方面的有效性。为此,我们获取了33例无糖尿病性视网膜病变的T2DM患者和40例健康对照者单眼的OCT扫描图像。根据是否伴有糖尿病周围神经病变(DN)对患者进行分类。MA和GA的结果显示患者与对照者之间视网膜厚度存在统计学显著差异。视网膜总厚度以及黄斑内环区域内视网膜层厚度变薄最为明显,且选择性地延伸至黄斑外环和黄斑中心区域。经临床证实患有DN的患者内视网膜层变薄最为显著。MA显示出额外的变薄区域,而GA往往低估厚度变化,尤其是在局部变薄的区域。我们得出结论,MA能够精确分析视网膜厚度数据,有助于理解T2DM成年患者视网膜内层的局部变化。

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