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使用IVCM对伴有眼痛的干眼患者角膜基底膜下神经进行半自动和自动定量分析。

Semiautomated and Automated Quantitative Analysis of Corneal Sub-Basal Nerves in Patients With DED With Ocular Pain Using IVCM.

作者信息

Zhang Yu, Wu Yaying, Li Wenbo, Huang Xiaodan

机构信息

Eye Center, School of Medicine, The Second Affiliated Hospital of Zhejiang University, Hangzhou, China.

出版信息

Front Med (Lausanne). 2022 Feb 11;9:831307. doi: 10.3389/fmed.2022.831307. eCollection 2022.

DOI:10.3389/fmed.2022.831307
PMID:35223926
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8873156/
Abstract

PURPOSE

Investigate the correlation and agreement between the results of semiautomated and fully automated quantitative analysis of the corneal sub-basal nerve plexus (SNP) in patients with dry eye disease (DED) with ocular pain using confocal microscopy (IVCM).

METHOD

A total of 50 voluntary participants were enrolled in this study, i.e., 25 DED patients with ocular pain and 25 healthy controls. Each patient underwent an evaluation of ocular symptoms that utilized: the Ocular Surface Disease Index (OSDI), the Ocular Pain Assessment Survey (OPAS), the tear film breakup time (TBUT) test, the Schirmer test, corneal staining, and IVCM. Five SNP images of the cornea of each eye were selected and analyzed using a semiautomated analysis software (NeuronJ) and a fully automated method (ACCMetrics) to quantify corneal nerve fiber density (CNFD), corneal nerve branch density (CNBD), and corneal nerve fiber length (CNFL).

RESULTS

The intraclass correlation coefficient (ICC) of the CNFD (0.460 [0.382-0.532], < 0.001), CNBD (0.608 [0.545-0.665], < 0.001), and CNFL (0.851 [0.822-0.875], < 0.001) represents the repeatability and consistency of measurements by the NeuronJ and ACCMetrics software. The CNFL values (r = 0.881, < 0.001) obtained using the two methods have extremely high correlation, and similarly, the CNFD values (r = 0.669, < 0.001) and CNBD values (r = 0.703, < 0.001) are highly correlated. The CNFL had the biggest area under the curve (AUC; 0.747 [0.700-0.793], < 0.001) when using ACCMetrics. In DED patients with ocular pain, the mean CNFD values for semiautomated and fully automated quantization were 23.5 ± 8.1 and 23.8 ± 8.6 n/mm; the mean CNBD values were 46.0 ± 21.3, 35.7 ± 23.3 n/mm; and the mean CNFL values were 19.3 ± 4.3 and 15.2 ± 3.8 mm/mm, which were significantly lower than healthy subjects ( < 0.001).

CONCLUSION

There is a significant correlation between the measurements obtained via ACCMetrics and NeuronJ, especially for CNFL, which can be considered as the primary indicator in the diagnosis of DED with ocular pain. The SNP of the disease was significantly lower than that of healthy subjects.

摘要

目的

使用共聚焦显微镜(IVCM)研究干眼症(DED)伴眼痛患者角膜基底神经丛(SNP)的半自动和全自动定量分析结果之间的相关性和一致性。

方法

本研究共纳入50名自愿参与者,即25名有眼痛的DED患者和25名健康对照者。每位患者均接受了眼部症状评估,包括:眼表疾病指数(OSDI)、眼痛评估调查(OPAS)、泪膜破裂时间(TBUT)测试、泪液分泌试验、角膜染色和IVCM。从每只眼睛的角膜中选择5张SNP图像,使用半自动分析软件(NeuronJ)和全自动方法(ACCMetrics)进行分析,以量化角膜神经纤维密度(CNFD)、角膜神经分支密度(CNBD)和角膜神经纤维长度(CNFL)。

结果

CNFD(0.460 [0.382 - 0.532],< 0.001)、CNBD(0.608 [0.545 - 0.665],< 0.001)和CNFL(0.851 [0.822 - 0.875],< 0.001)的组内相关系数(ICC)代表了NeuronJ和ACCMetrics软件测量的重复性和一致性。两种方法获得的CNFL值(r = 0.881,< 0.001)具有极高的相关性,同样,CNFD值(r = 0.669,< 0.001)和CNBD值(r = 0.703,< 0.001)也高度相关。使用ACCMetrics时,CNFL的曲线下面积最大(AUC;0.747 [0.700 - 0.793],< 0.001)。在有眼痛的DED患者中,半自动和全自动量化的平均CNFD值分别为23.5 ± 8.1和23.8 ± 8.6 n/mm;平均CNBD值分别为46.0 ± 21.3、35.7 ± 23.3 n/mm;平均CNFL值分别为19.3 ± 4.3和15.2 ± 3.8 mm/mm,均显著低于健康受试者(< 0.001)。

结论

通过ACCMetrics和NeuronJ获得的测量结果之间存在显著相关性,尤其是CNFL,可被视为诊断伴有眼痛的DED的主要指标。该疾病的SNP明显低于健康受试者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d87/8873156/81cd8daff08f/fmed-09-831307-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d87/8873156/743b1d9c2c36/fmed-09-831307-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d87/8873156/e26ab8d225cb/fmed-09-831307-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d87/8873156/ba4ab8eb88a6/fmed-09-831307-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d87/8873156/bff4542101cb/fmed-09-831307-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d87/8873156/81cd8daff08f/fmed-09-831307-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d87/8873156/743b1d9c2c36/fmed-09-831307-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d87/8873156/e26ab8d225cb/fmed-09-831307-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d87/8873156/ba4ab8eb88a6/fmed-09-831307-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d87/8873156/bff4542101cb/fmed-09-831307-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d87/8873156/81cd8daff08f/fmed-09-831307-g0005.jpg

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