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Efficacy of Retinal Nerve Fiber Layer (RNFL) / Retinal Thickness Ratio by Cirrus OCT Utilizing Spectral -Domain Technology as a Diagnostic Predictor of Glaucoma

Efficacy of RNFL / Retinal Thickness Ratio by Cirrus OCT Utilizing Spectral -Domain Technology as a Diagnostic Predictor of Glaucoma

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT00772993
Enrollment
400
Registered
2008-10-16
Start date
2008-10-31
Completion date
2008-12-31
Last updated
2008-10-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Glaucoma, Myopia

Keywords

glaucoma, myopia, myopia with glaucoma, normal control

Brief summary

Glaucoma is presumed to be an axonal disease which starts at the lamina cribrosa. This assumption has led to the monitoring of the retinal nerve fiber layer thickness for the diagnosis and monitoring of progression of glaucoma. However, varying disc size, myopia and tilted discs affect the thickness of the retinal nerve fiber layer. This study aims to ascertain the ration of the retinal nerve fiber layer against full retina as a predictor of glaucoma diagnosis and progression.

Interventions

None listed

Sponsors

Yonsei University
Lead SponsorOTHER

Study design

Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
10 Years to 90 Years
Healthy volunteers
Yes

Inclusion criteria

* Primary open angle glaucoma * Myopia * Myopia with evidence of glaucoma * Normal controls

Exclusion criteria

* Evidence of retinal disease * BCVA \< 0.4 * Secondary glaucoma due to intraocular inflammation * Lens induced glaucoma * Tumor induced glaucoma * Neovascular glaucoma

Design outcomes

Primary

MeasureTime frame
Ratio of RNFL / Full thickness retina2 months

Countries

South Korea

Contacts

Primary ContactChan Yun Kim, MD,PhD.
kangeye@hotmail.com82-2-2228-3570
Backup ContactSung Yong Kang, MD
kangeye@yuhs.ac82-2-2228-3570

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026