Red-green disease: overreliance on color-coded OCT RNFL analysis in glaucoma diagnosis

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OCT is crucial in glaucoma diagnosis, using color-coded RNFL maps to indicate normal, borderline, or abnormal conditions.
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Current normative datasets for OCT RNFL analysis are limited in diversity, often reflecting narrow demographic and biometric ranges.
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Physiological differences across ancestries can lead to misclassification of healthy eyes as abnormal in OCT RNFL assessments.
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Clinicians should interpret RNFL color maps as statistical summaries and integrate them with other diagnostic tools for accuracy.
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Future improvements in OCT interpretation require diverse datasets, transparency in normative data, and collaborative efforts across the field.

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