The DOI matches its Crossref record.
Clinical Evaluation of Nerve Fiber Layer Atrophy as an Indicator of Glaucomatous Optic Nerve Damage
Abstract
To evaluate the usefulness of the retinal nerve fiber layer (NFL) appearance in the estimation of glaucomatous optic nerve damage, we examined 335 eyes of normal, glaucoma suspect, of glaucomatous patients. In eyes with field loss, 84% had NFL atrophy. In normal eyes, NFL atrophy was suspected in 3%. In glaucoma suspects, 13% of eyes had NFL defects. Defects in glaucoma suspect eyes were more often localized, compared with the diffuse atrophy found in eyes with visual field loss. The NFL abnormalities were seen in areas of the retina corresponding to the location of visual field defects with a high accuracy. The NFL examination is as sensitive in detecting eyes with field loss as the optic disc configuration and may help to identify which eyes are suffering optic nerve damage prior to field loss.
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Cited by
Morphologic Changes in the Lamina Cribrosa Correlated with Neural Loss in Open-Angle Glaucoma
Quigley, H. A., Hohman, R. M., Addicks, E. M., Massof, R. W., & Green, W. R. (1983) · American Journal of Ophthalmology · doi:10.1016/0002-9394(83)90389-6 · Cited by 680
Self-citationOptic nerve head and nerve fiber layer in Alzheimer's disease
Tsai, C. S. (1991) · Archives of Ophthalmology · doi:10.1001/archopht.1991.01080020045040 · Cited by 163
Metadata
- Authors
- Quigley, H. A., Miller, N. R., & George, T.
- Venue
- Archives of Ophthalmology
- Publisher
- American Medical Association (AMA)
- Published
- 1980-09-01
- Volume
- 98
- Issue
- 9
- Pages
- 1564-1571
- ISSN
- 0003-9950 (ISSN-L)
- OpenAlex
- W2021775220
- Cited by
- 340
- References
- 0
- FWCI
- 12.83
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
