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光学相干断层扫描在青光眼应用中的新进展。

Recent developments in the use of optical coherence tomography for glaucoma.

机构信息

Bascom Palmer Eye Institute and McKnight Vision Research Center, University of Miami Miller School of Medicine, Miami, Florida.

Illinois Eye & Ear Infirmary, University of Illinois College of Medicine, Chicago, Illinois, USA.

出版信息

Curr Opin Ophthalmol. 2021 Mar 1;32(2):98-104. doi: 10.1097/ICU.0000000000000733.

Abstract

PURPOSE OF REVIEW

The aim of this article is to summarize findings of recent reports highlighting the utility of novel optical coherence tomography (OCT) parameters in the diagnosis and monitoring of glaucomatous optic neuropathy.

RECENT FINDINGS

Optic nerve head (ONH), retinal nerve fiber layer (RNFL), and macular parameters show high levels of diagnostic capability. The Bruch's membrane opening-minimum rim width (BMO-MRW) measurement is a novel ONH parameter obtained using the Spectralis SD-OCT device (Heidelberg Engineering, Inc., Heidelberg, Germany). The inferotemporal BMO-MRW sector shows the highest diagnostic performance for this parameter. Minimum ganglion cell and inner plexiform layer thickness shows the highest diagnostic performance among macular parameters obtained with the Cirrus HD-OCT (Carl Zeiss, Inc., Dublin, CA, USA). Optic nerve head, macular, and retinal nerve fiber layer parameters are not interchangeable across protocols generated by varying OCT manufacturers. Novel machine-learning algorithms show promise with regards to achieving higher levels of diagnostic accuracy using OCT imaging platforms.

SUMMARY

Digital imaging in glaucoma continues to evolve with novel parameters of the optic nerve head, retinal nerve fiber layer, and macula. Diagnostic abilities of these parameters are high and complementary to each other.

摘要

目的综述

本文旨在总结近期报告的研究结果,突出新型光学相干断层扫描(OCT)参数在青光眼视神经病变的诊断和监测中的应用价值。

最新发现

视神经盘(ONH)、视网膜神经纤维层(RNFL)和黄斑参数具有较高的诊断能力。Bruch 膜开口最小 rim 宽度(BMO-MRW)测量是一种使用 Spectralis SD-OCT 设备(Heidelberg Engineering,Inc.,德国海德堡)获得的新型 ONH 参数。该参数在颞下区的 BMO-MRW 扇区具有最高的诊断性能。在 Cirrus HD-OCT(Carl Zeiss,Inc.,美国加利福尼亚州都柏林)获得的黄斑参数中,最小节细胞和内丛状层厚度具有最高的诊断性能。不同 OCT 制造商生成的协议中,视神经盘、黄斑和视网膜神经纤维层参数不能相互替代。新型机器学习算法在使用 OCT 成像平台实现更高水平的诊断准确性方面显示出了前景。

总结

青光眼的数字成像技术不断发展,出现了视神经盘、视网膜神经纤维层和黄斑的新型参数。这些参数的诊断能力较高,且相互补充。

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