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Cited by 441

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

OCT for glaucoma diagnosis, screening and detection of glaucoma progression

Open access
Bussel, Igor I, Wollstein, Gadi, Schuman, Joel S·2014·British Journal of Ophthalmology

Abstract

Optical coherence tomography (OCT) is a commonly used imaging modality in the evaluation of glaucomatous damage. The commercially available spectral domain (SD)-OCT offers benefits in glaucoma assessment over the earlier generation of time domain-OCT due to increased axial resolution, faster scanning speeds and has been reported to have improved reproducibility but similar diagnostic accuracy. The capabilities of SD-OCT are rapidly advancing with 3D imaging, reproducible registration, and advanced segmentation algorithms of macular and optic nerve head regions. A review of the evidence to date suggests that retinal nerve fibre layer remains the dominant parameter for glaucoma diagnosis and detection of progression while initial studies of macular and optic nerve head parameters have shown promising results. SD-OCT still currently lacks the diagnostic performance for glaucoma screening.

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Metadata

Authors
Bussel, I. I., Wollstein, G., & Schuman, J. S.
Venue
British Journal of Ophthalmology
Publisher
BMJ
Published
2013-12-19
Volume
98
Issue
Suppl 2
Pages
ii15-ii19
ISSN
  • 0007-1161 (ISSN-L)
  • 1468-2079
OpenAlex
W1996144177
Cited by
441
References
11
FWCI
18.37
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: OCT for glaucoma diagnosis, screening and detection of glaucoma progression. https://app.cochat.ai/papers/10.1136/bjophthalmol-2013-304326
The paper
Bussel, I. I., Wollstein, G., & Schuman, J. S. (2014). OCT for glaucoma diagnosis, screening and detection of glaucoma progression. British Journal of Ophthalmology. https://doi.org/10.1136/bjophthalmol-2013-304326

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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.