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Related Concept Videos

Glaucoma: Overview01:25

Glaucoma: Overview

Glaucoma is an eye condition characterized by increased intraocular pressure that damages the retina and optic nerve, leading to irreversible blindness if left untreated. The human eye has various components, including the cornea, iris, pupil, lens, and optic nerve. Aqueous humor is secreted by the epithelium of the ciliary body in the posterior chamber and flows through the trabecular meshwork and canal of Schlemm, maintaining normal intraocular pressure. The trabecular meshwork and the canal...
Open Angle Glaucoma: Treatment01:27

Open Angle Glaucoma: Treatment

In open-angle glaucoma, the iridocorneal angle remains open, but the trabecular meshwork becomes stiff, slowing down the outflow of aqueous humor. This causes a buildup of aqueous humor in the anterior chamber, leading to a sudden increase in intraocular pressure. The treatment for open-angle glaucoma focuses on reducing the elevated intraocular pressure by either decreasing the secretion of aqueous humor or increasing its outflow.
Drugs such as carbonic anhydrase inhibitors, α2- and...
Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

Angle-closure glaucoma, or closed-angle glaucoma, is an eye condition where the iris bulges out and blocks the iridocorneal angle, resulting in a buildup of aqueous humor and increased intraocular pressure. Immediate medical attention is necessary due to the sudden onset of symptoms. The treatment for angle-closure glaucoma includes short-term and long-term approaches. Short-term treatment involves using eye drops like pilocarpine to lower intraocular pressure by increasing aqueous humor...

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Related Experiment Video

Updated: Jul 11, 2026

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
07:11

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

Published on: May 25, 2020

Comparison of methods to predict visual field progression in glaucoma.

Kouros Nouri-Mahdavi1, Douglas Hoffman, Monica Ralli

  • 1Glaucoma Division, Jules Stein Eye Institute, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.

Archives of Ophthalmology (Chicago, Ill. : 1960)
|September 12, 2007
PubMed
Summary

Glaucoma Change Probability Analysis (GCPA) and pointwise linear regression showed similar performance in predicting glaucoma visual field progression, though GCPA offered earlier prediction. The Advanced Glaucoma Intervention Study (AGIS) method detected less progression.

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Last Updated: Jul 11, 2026

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
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07:45

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Published on: July 21, 2020

Area of Science:

  • Ophthalmology
  • Medical Technology
  • Data Science

Background:

  • Glaucoma is a leading cause of irreversible blindness.
  • Accurate prediction of visual field progression is crucial for timely intervention.
  • Current methods for predicting glaucoma progression vary in performance.

Purpose of the Study:

  • To compare the predictive performance of three methods for glaucoma visual field progression: pointwise linear regression, Glaucoma Change Probability Analysis (GCPA), and the Advanced Glaucoma Intervention Study (AGIS) method.
  • To evaluate the accuracy and concordance of these algorithms in predicting long-term visual field changes.

Main Methods:

  • Utilized longitudinal visual field data from the Advanced Glaucoma Intervention Study (AGIS) cohort.
  • Included 156 patients with at least 8 years of follow-up.
  • Assessed the proportion of progressing eyes and time to progression, comparing predictions at 8 years.

Main Results:

  • Visual field progression was detected in 35% (pointwise linear regression), 31% (GCPA), and 22% (AGIS) of patients at 8 years.
  • Glaucoma Change Probability Analysis (GCPA) showed better early prediction than pointwise linear regression.
  • All methods exhibited low false prediction rates (1-3%) and did not differ based on baseline glaucoma severity.

Conclusions:

  • All evaluated algorithms demonstrated low false prediction rates in glaucoma visual field progression.
  • GCPA provided superior early prediction compared to pointwise linear regression.
  • Despite overall agreement on progression, pointwise linear regression and GCPA showed poor concordance in the spatial distribution of worsening test locations.