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retinal nerve fiber layer

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Ophthalmology

Impact of 24-Hour Blood Pressure Variability on Retinal Nerve Fiber Layer Progression in Primary Open-Angle Glaucoma

Lower systemic blood pressure, especially minimum values measured over 24 hours, is associated with accelerated retinal nerve fiber layer loss in primary open-angle glaucoma, highlighting the prognostic value of ambulatory BP monitoring.

Oct 23, 2026
Clinical Updates

Early Optic Nerve Head Swelling Rate Predicts Visual Outcome Deterioration in Nonarteritic Anterior Ischemic Optic Neuropathy: An Evidence-Based Review

Early rapid optic nerve head swelling in NAION correlates with worse visual outcomes, with OCT measures of pONHV and mGCIPL thinning providing prognostic insights within days of symptom onset.

Oct 7, 2026Sign in to read
news

Enhancing Glaucoma Research Accuracy: Contrasting Diagnostic and Treatment-Based Definitions in UK Biobank

This study compares diagnostic-only versus combined diagnostic and treatment-based definitions of glaucoma in UK Biobank participants, revealing stronger associations of risk factors and severity biomarkers with definitions including treatm

Jun 29, 2026Sign in to read
news

Retinal Nerve Fiber Layer Thickness at 36 Weeks May Help Predict 2-Year Neurodevelopment in Very Preterm Infants

In very preterm infants, thicker retinal nerve fiber layer on OCT at 36 weeks’ postmenstrual age was associated with better motor and cognitive outcomes at 2 years, supporting retinal imaging as a potential early neurodevelopmental biomarke

Jun 8, 2026
Clinical Updates

Retinal OCT as an Early Window into Brain Development in Very Preterm Infants: Interpreting 36-Week Microanatomy for 2-Year Neurodevelopment

A new prospective cohort study suggests that retinal nerve fiber layer thickness on neonatal OCT at 36 weeks’ PMA may help predict 2-year motor and cognitive outcomes in very preterm infants.

Jun 8, 2026
news

Progression in Preperimetric Glaucoma Eyes With and Without Microvasculature Dropout

In preperimetric glaucoma, baseline microvasculature dropout on OCTA predicted faster capillary density loss and a higher risk of later visual field damage, suggesting it may help identify eyes needing closer follow-up.

Jun 2, 2026
Superintelligence

Deep Learning Predicts Glaucoma Risk via Retinal Nerve Fiber Layer Thickness from Ocular Hypertension Photographs

Deep learning models predicting RNFL thickness from optic disc photographs can identify ocular hypertension patients at higher risk for primary open-angle glaucoma, enhancing early risk assessment and monitoring disease progression.

Sep 12, 2025

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