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Updated: Feb 24, 2026

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
Published on: May 25, 2020
GCIPL color coding on OCT predicts glaucoma conversion in normal-tension glaucoma suspects, including a high myopia
Hee Jong Shin1,2, Hae-Young Lopilly Park3,4,5, Hee Kyung Ryu1,2
1Department of Ophthalmology, The Catholic University of Korea, Seoul, South Korea.
Optical coherence tomography (OCT) color coding of ganglion cell-inner plexiform layer (GCIPL) thickness effectively predicts glaucoma conversion risk in normal-tension glaucoma suspects, especially in high myopia. This tool aids in identifying stable disease and stratifying progression risk.
Area of Science:
- Ophthalmology
- Medical Imaging
- Glaucoma Research
Background:
- Normal-tension glaucoma (NTG) suspects require accurate risk stratification for progression.
- Assessing glaucoma conversion risk, particularly in highly myopic eyes, presents diagnostic challenges.
- Optical coherence tomography (OCT) provides quantitative structural measurements relevant to glaucoma.
Purpose of the Study:
- To evaluate the predictive value of OCT-derived color coding of retinal nerve fiber layer (RNFL) and ganglion cell-inner plexiform layer (GCIPL) thicknesses for glaucoma conversion.
- To assess the performance of this color-coding system in highly myopic eyes.
- To determine the clinical utility of GCIPL color coding for risk stratification in NTG suspects.
Main Methods:
- Retrospective analysis of 307 eyes from NTG suspects with baseline spectral-domain OCT.
- RNFL and GCIPL thicknesses were categorized using device-generated color codes (green: normal, yellow: borderline, red: abnormal).
- Glaucoma conversion was defined by reproducible visual field defects over a mean follow-up of 76 months.
Main Results:
- Inferotemporal GCIPL thickness demonstrated the strongest predictive capacity (AUC=0.68), significantly improved in highly myopic eyes (AUC=0.85).
- Red color coding in the inferotemporal sector correlated with increased conversion risk (HR 2.473, p=0.050).
- Green coding in GCIPL sectors showed high negative predictive values (85.0% overall, 90.2% in myopic subgroup), indicating disease stability.
Conclusions:
- OCT-derived GCIPL color coding is a practical tool for identifying early glaucoma stability.
- This method aids in stratifying the risk of glaucoma progression, even in high myopia.
- Color coding offers an accessible approach to risk assessment in clinical practice.
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