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分段内网状层厚度作为评估开角型青光眼的潜在生物标志物:视网膜神经节细胞的树突状变性

Segmented inner plexiform layer thickness as a potential biomarker to evaluate open-angle glaucoma: Dendritic degeneration of retinal ganglion cell.

作者信息

Kim Eun Kyoung, Park Hae-Young Lopilly, Park Chan Kee

机构信息

Department of Ophthalmology and Visual Science, College of Medicine, The Catholic University of Korea, Seoul, South Korea.

Seoul St. Mary's Hospital, Seoul, South Korea.

出版信息

PLoS One. 2017 Aug 3;12(8):e0182404. doi: 10.1371/journal.pone.0182404. eCollection 2017.

DOI:10.1371/journal.pone.0182404
PMID:28771565
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5542626/
Abstract

PURPOSE

To evaluate the changes of retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), inner plexiform layer (IPL), and ganglion cell-inner plexiform layer (GCIPL) thicknesses and compare structure-function relationships of 4 retinal layers using spectral-domain optical coherence tomography (SD-OCT) in macular region of glaucoma patients.

METHODS

In cross-sectional study, a total of 85 eyes with pre-perimetric to advanced glaucoma and 26 normal controls were enrolled. The glaucomatous eyes were subdivided into three groups according to the severity of visual field defect: a preperimetric glaucoma group, an early glaucoma group, and a moderate to advanced glaucoma group. RNFL, GCL, IPL, and GCIPL thicknesses were measured at the level of the macula by the Spectralis (Heidelberg Engineering, Heidelberg, Germany) SD-OCT with automated segmentation software. For functional evaluation, corresponding mean sensitivity (MS) values were measured using 24-2 standard automated perimetry (SAP).

RESULTS

RNFL, GCL, IPL, and GCIPL thicknesses were significantly different among 4 groups (P < .001). Macular structure losses were positively correlated with the MS values of the 24-2 SAP for RNFL, GCL, IPL, and GCIPL (R = 0.553, 0.636, 0.648 and 0.646, respectively, P < .001). In regression analysis, IPL and GCIPL thicknesses showed stronger association with the corresponding MS values of 24-2 SAP compared with RNFL and GCL thicknesses (R2 = 0.420, P < .001 for IPL; R2 = 0.417, P< .001 for GCIPL thickness).

CONCLUSIONS

Segmented IPL thickness was significantly associated with the degree of glaucoma. Segmental analysis of the inner retinal layer including the IPL in macular region may provide valuable information for evaluating glaucoma.

摘要

目的

使用光谱域光学相干断层扫描(SD - OCT)评估青光眼患者黄斑区视网膜神经纤维层(RNFL)、神经节细胞层(GCL)、内层神经丛层(IPL)和神经节细胞 - 内层神经丛层(GCIPL)厚度的变化,并比较这4个视网膜层的结构 - 功能关系。

方法

在横断面研究中,共纳入85只患有视野缺损前期至晚期青光眼的眼睛和26名正常对照者。青光眼患者的眼睛根据视野缺损的严重程度分为三组:视野缺损前期青光眼组、早期青光眼组和中度至晚期青光眼组。使用配备自动分割软件的Spectralis(德国海德堡海德堡工程公司)SD - OCT在黄斑水平测量RNFL、GCL、IPL和GCIPL的厚度。为了进行功能评估,使用24 - 2标准自动视野计(SAP)测量相应的平均敏感度(MS)值。

结果

4组之间RNFL、GCL、IPL和GCIPL的厚度存在显著差异(P <.001)。黄斑结构损失与RNFL、GCL、IPL和GCIPL的24 - 2 SAP的MS值呈正相关(R分别为0.553、0.636、0.648和0.646,P <.001)。在回归分析中,与RNFL和GCL厚度相比,IPL和GCIPL厚度与24 - 2 SAP的相应MS值显示出更强的关联(IPL的R2 = 0.420,P <.001;GCIPL厚度的R2 = 0.417,P <.001)。

结论

分割后的IPL厚度与青光眼程度显著相关。对黄斑区包括IPL在内的视网膜内层进行分段分析可能为评估青光眼提供有价值的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e1/5542626/7e4a53eb2a9f/pone.0182404.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e1/5542626/9ac840d04792/pone.0182404.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e1/5542626/cc25f665c259/pone.0182404.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e1/5542626/d91be9d34fe2/pone.0182404.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e1/5542626/2908d918d757/pone.0182404.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e1/5542626/24ffb597eed1/pone.0182404.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e1/5542626/a1cc386c5821/pone.0182404.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e1/5542626/7e4a53eb2a9f/pone.0182404.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e1/5542626/9ac840d04792/pone.0182404.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e1/5542626/cc25f665c259/pone.0182404.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e1/5542626/d91be9d34fe2/pone.0182404.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e1/5542626/2908d918d757/pone.0182404.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e1/5542626/24ffb597eed1/pone.0182404.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e1/5542626/a1cc386c5821/pone.0182404.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e1/5542626/7e4a53eb2a9f/pone.0182404.g007.jpg

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