Matuszewska-Iwanicka Aleksandra, Stratmann Bernd, Stachs Oliver, Allgeier Stephan, Bartschat Andreas, Winter Karsten, Guthoff Rudolf, Tschoepe Diethelm, Hettlich Hans-Joachim
Eye Clinic Johannes Wesling Hospital, Ruhr Universität Bochum, Augen-Praxisklinik Minden, Königstraße 120, 32427, Minden, Germany.
Herz- und Diabeteszentrum NRW, Diabeteszentrum, Ruhr Universität Bochum, Bad Oeynhausen, Germany.
Ophthalmol Ther. 2022 Dec;11(6):2211-2223. doi: 10.1007/s40123-022-00574-z. Epub 2022 Oct 3.
The assessment of the corneal nerve fibre plexus with corneal confocal microscopy (CCM) is an upcoming but still experimental method in the diagnosis of early stage diabetic peripheral neuropathy (DPN). Using an innovative imaging technique-Heidelberg Retina Tomograph equipped with the Rostock Cornea Module (HRT-RCM) and EyeGuidance module (EG)-we were able to look at greater areas of subbasal nerve plexus (SNP) in order to increase the diagnostic accuracy. The aim of our study was to evaluate the usefulness of EG instead of single image analysis in diagnosis of early stage DPN.
This prospective study was performed on 60 patients with type 2 diabetes mellitus, classified equally into two subgroups based on neuropathy deficient score (NDS): patients without DPN (group 1) or with mild DPN (group 2). The following parameters were analysed in the two subgroups: corneal nerve fibre length (CNFL; mm/mm), corneal nerve fibre density (CNFD; no./mm), corneal nerve branch density (CNBD; no./mm). Furthermore, we compared the data calculated with the novel mosaic, EG-based method with those received from single image analysis using different quantification tools.
Using EG we did not find a significant difference between group 1 and group 2: CNFL (16.81 ± 5.87 mm/mm vs. 17.19 ± 7.19 mm/mm, p = 0.895), CNFD (254.05 ± 115.36 no./mm vs. 265.91 ± 161.63 no./mm, p = 0.732) and CNBD (102.68 ± 62.28 no./mm vs. 115.38 ± 96.91 no./mm, p = 0.541). No significant difference between the EG method of analysing the SNP and the single image analysis of 10 images per patient was detected.
On the basis of our results it was not possible to differentiate between early stages of large nerve fibre DPN in patients with type 2 diabetes mellitus via SNP analysis. To improve sensitivity and specificity of this method newer technologies are under current evaluation.
ClinicalTrials.gov Identifier NCT05326958.
利用角膜共焦显微镜(CCM)评估角膜神经纤维丛是一种新兴的但仍处于实验阶段的早期糖尿病周围神经病变(DPN)诊断方法。通过使用一种创新的成像技术——配备罗斯托克角膜模块(HRT-RCM)和眼动引导模块(EG)的海德堡视网膜断层扫描仪,我们能够观察更大面积的基底神经丛(SNP),以提高诊断准确性。本研究的目的是评估EG而非单图像分析在早期DPN诊断中的实用性。
本前瞻性研究对60例2型糖尿病患者进行,根据神经病变缺陷评分(NDS)将其平均分为两个亚组:无DPN的患者(第1组)或轻度DPN的患者(第2组)。在两个亚组中分析了以下参数:角膜神经纤维长度(CNFL;mm/mm)、角膜神经纤维密度(CNFD;条/mm)、角膜神经分支密度(CNBD;条/mm)。此外,我们将使用基于EG的新型拼接方法计算的数据与使用不同量化工具从单图像分析获得的数据进行了比较。
使用EG,我们未发现第1组和第2组之间存在显著差异:CNFL(16.81±5.87mm/mm对17.19±7.19mm/mm,p = 0.895)、CNFD(254.05±115.36条/mm对265.91±161.63条/mm,p = 0.732)和CNBD(102.68±62.28条/mm对
115.38±96.91条/mm,p = 0.541)。未检测到分析SNP的EG方法与每位患者10张图像的单图像分析之间存在显著差异。
根据我们的结果,通过SNP分析无法区分2型糖尿病患者大神经纤维DPN的早期阶段。为提高该方法的敏感性和特异性,目前正在评估更新的技术。
ClinicalTrials.gov标识符NCT05326958。