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Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
Published on: May 25, 2020
Automated flicker perimetry in glaucoma using Octopus 311: a comparative study with the Humphrey Matrix
Chota Matsumoto1, Sonoko Takada, Sachiko Okuyama
1Department of Ophthalmology, Kinki University School of Medicine, Osaka, Japan. chota@med.kindai.ac.jp
Acta Ophthalmologica Scandinavica
|April 28, 2006
Summary
Flicker perimetry with the Octopus 311 effectively detects early glaucoma and glaucoma suspects. This visual field test shows high accuracy, outperforming Matrix perimetry in identifying early-stage disease.
Area of Science:
- Ophthalmology
- Visual Neuroscience
Background:
- Glaucoma diagnosis relies on visual field testing, but early detection remains challenging.
- Newer perimetry techniques aim to improve sensitivity in identifying early glaucomatous damage.
Purpose of the Study:
- To assess the clinical utility of flicker perimetry using the Octopus 311 perimeter.
- To compare flicker perimetry with standard automated perimetry (SAP) and frequency doubling technology (FDT) perimetry in glaucoma patients and suspects.
Main Methods:
- Evaluated 52 glaucoma patients, 26 glaucoma suspects, and 61 normal subjects.
- Utilized Octopus 311 for flicker perimetry, Humphrey Matrix for FDT perimetry, and Humphrey Field Analyzer for SAP.
- Assessed retinal nerve fiber layer thickness using Stratus OCT in glaucoma and suspect groups.
Main Results:
- Flicker perimetry demonstrated high diagnostic accuracy (AUC 0.96) in early glaucoma, exceeding Matrix perimetry (AUC 0.90).
- All tested methods showed near-perfect accuracy (AUC ≈ 1.0) in moderate to advanced glaucoma.
- Flicker perimetry at the 5% probability level showed significantly better performance than Matrix perimetry in glaucoma suspects.
Conclusions:
- The four-zone probability strategy with the Octopus 311 is a valuable tool for flicker perimetry.
- This method is effective for evaluating visual fields in early glaucoma and glaucoma suspect patients.
