Parapapillary Deep-Layer Microvasculature Dropout in Glaucoma: Topographic Association With Glaucomatous Damage | Zendy

Eun Ji Lee | Zendy; Seung Hyen Lee | Zendy; Jeong-Ah Kim | Zendy; TaeWoo Kim | Zendy

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Parapapillary Deep-Layer Microvasculature Dropout in Glaucoma: Topographic Association With Glaucomatous Damage

Author(s) -

Eun Ji Lee,

Seung Hyen Lee,

Jeong-Ah Kim,

TaeWoo Kim

Publication year - 2017

Publication title -

investigative ophthalmology and visual science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.935

H-Index - 218

eISSN - 1552-5783

pISSN - 0146-0404

DOI - 10.1167/iovs.17-21918

Subject(s) - nerve fiber layer , glaucoma , ophthalmology , optical coherence tomography , medicine , retinal , open angle glaucoma , dropout (neural networks) , visual field , machine learning , computer science

The purpose of this article was to compare the frequencies of the parapapillary deep-layer microvasculature dropout (MvD) detected by optical coherence tomography angiography in eyes with primary open-angle glaucoma (POAG) and healthy eyes and to determine the topographic correlation between the MvD and the glaucomatous retinal nerve fiber layer (RNFL) defect in POAG eyes.

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