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Diagnostic capability of a linear discriminant function applied to a novel Spectralis OCT glaucoma-detection protocol.应用于新型 Spectralis OCT 青光眼检测方案的线性判别函数的诊断能力。
BMC Ophthalmol. 2020 Jan 29;20(1):35. doi: 10.1186/s12886-020-1322-8.
2
Differential Effects of Aging in the Macular Retinal Layers, Neuroretinal Rim, and Peripapillary Retinal Nerve Fiber Layer.黄斑视网膜层、神经视网膜边缘和视盘周围视网膜神经纤维层老化的差异影响。
Ophthalmology. 2020 Feb;127(2):177-185. doi: 10.1016/j.ophtha.2019.09.013. Epub 2019 Sep 21.
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Structural evaluation of preperimetric and perimetric glaucoma.青光眼的视野前期和视野期的结构评估。
Indian J Ophthalmol. 2019 Nov;67(11):1843-1849. doi: 10.4103/ijo.IJO_1955_18.
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Evaluation of macular ganglion cell analysis compared to retinal nerve fiber layer thickness for preperimetric glaucoma diagnosis.评价黄斑神经节细胞分析与视网膜神经纤维层厚度在青光眼前期诊断中的比较。
Indian J Ophthalmol. 2018 Apr;66(4):511-516. doi: 10.4103/ijo.IJO_1039_17.
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Analysis of Ganglion Cell Complex and Retinal Nerve Fiber Layer Thickness in Glaucoma Diagnosis.青光眼诊断中神经节细胞复合体和视网膜神经纤维层厚度的分析
Acta Clin Croat. 2017 Sep;56(3):382-390. doi: 10.20471/acc.2017.56.03.04.
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Diagnostic ability of macular ganglion cell-inner plexiform layer thickness in glaucoma suspects.黄斑神经节细胞-内丛状层厚度对青光眼可疑患者的诊断能力
Medicine (Baltimore). 2017 Dec;96(51):e9182. doi: 10.1097/MD.0000000000009182.
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Optical coherence tomography for glaucoma diagnosis: An evidence based meta-analysis.用于青光眼诊断的光学相干断层扫描:一项基于证据的荟萃分析。
PLoS One. 2018 Jan 4;13(1):e0190621. doi: 10.1371/journal.pone.0190621. eCollection 2018.
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Retinal nerve fiber layer and ganglion cell layer changes on optical coherence tomography in early multiple sclerosis and optic neuritis cases.早期多发性硬化症和视神经炎病例中光学相干断层扫描显示的视网膜神经纤维层和神经节细胞层变化
Indian J Ophthalmol. 2018 Jan;66(1):114-119. doi: 10.4103/ijo.IJO_539_17.
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Bruch's Membrane Opening Minimum Rim Width Measurement with SD-OCT: A Method to Correct for the Opening Size of Bruch's Membrane.使用频域光学相干断层扫描测量布鲁赫膜开口的最小边缘宽度:一种校正布鲁赫膜开口大小的方法。
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Diagnostic accuracy of ganglion cell complex substructures in different stages of primary open-angle glaucoma.原发性开角型青光眼不同阶段神经节细胞复合体亚结构的诊断准确性
Can J Ophthalmol. 2017 Aug;52(4):355-360. doi: 10.1016/j.jcjo.2017.01.003. Epub 2017 Feb 20.

正常、视野缺损前期及视野缺损期青光眼患者光学相干断层扫描参数的诊断评估

Diagnostic evaluation of optical coherence tomography parameters in normal, preperimetric and perimetric glaucoma patients.

作者信息

Yusof Aimy Mastura Zurairah, Othman Othmaliza, Tang Seng Fai, Hassan Mohd Rohaizat, Din Norshamsiah Md

机构信息

Department of Ophthalmology, Tuanku Mizan Armed Forces Hospital, Kuala Lumpur 53300, Malaysia.

Department of Ophthalmology, UKM Medical Center, Jalan Yaacob Latif, Cheras 56000, Kuala Lumpur, Malaysia.

出版信息

Int J Ophthalmol. 2022 Nov 18;15(11):1782-1790. doi: 10.18240/ijo.2022.11.08. eCollection 2022.

DOI:10.18240/ijo.2022.11.08
PMID:36404967
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9631180/
Abstract

AIM

To compare the diagnostic ability of glaucoma parameters measured by the optical coherence tomography (OCT) in normal, preperimetric glaucoma (PPG) and perimetric glaucoma (PG) patients.

METHODS

This cross-sectional observational study includes 127 eyes of 127 subjects. Patients were divided into PPG (51 eyes), PG (46 eyes), and normal controls (30 eyes) based on clinical optic disc assessment and Humphrey visual field changes. The Heidelberg Spectralis OCT machine using Glaucoma Module Premium Edition software was used to measure the retinal nerve fiber layer (RNFL) and Bruch's membrane opening-minimum rim width (BMO-MRW) to assess the optic nerve head and ganglion cell layer (GCL) thickness in the macula.

RESULTS

RNFL, MRW, and GCL thickness were all significantly thinner in PG compared to PPG and the normal group. The BMO-MRW parameters showed better specificity (>70%) at 90% specificity compared to both RNFL and GCL parameters to discriminate normal, PPG, and PG patients. All BMO-MRW parameters showed higher area under curves (AUC) compared to RNFL and GCL parameters with the highest AUC observed in the superotemporal sector of the BMO-MRW (AUC=0.819 and and 0.897 between normal and PPG and PG groups respectively).

CONCLUSION

While the BMO-MRW best discriminates PPG and PG against normal eyes, GCL parameters poorly differentiate the three groups.

摘要

目的

比较光学相干断层扫描(OCT)测量的青光眼参数在正常、视野缺损前期青光眼(PPG)和视野缺损期青光眼(PG)患者中的诊断能力。

方法

这项横断面观察性研究纳入了127名受试者的127只眼睛。根据临床视盘评估和Humphrey视野变化,将患者分为PPG组(51只眼)、PG组(46只眼)和正常对照组(30只眼)。使用配备青光眼模块高级版软件的海德堡Spectralis OCT机器测量视网膜神经纤维层(RNFL)和布鲁赫膜开口最小边缘宽度(BMO-MRW),以评估视神经乳头和黄斑区神经节细胞层(GCL)厚度。

结果

与PPG组和正常组相比,PG组的RNFL、MRW和GCL厚度均显著变薄。在区分正常、PPG和PG患者时,BMO-MRW参数在90%特异性时显示出比RNFL和GCL参数更好的特异性(>70%)。与RNFL和GCL参数相比,所有BMO-MRW参数的曲线下面积(AUC)更高,其中BMO-MRW颞上象限的AUC最高(正常组与PPG组和PG组之间的AUC分别为0.819和0.897)。

结论

虽然BMO-MRW在区分PPG和PG与正常眼方面表现最佳,但GCL参数在区分这三组时效果不佳。