Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Comparison of different methods for detecting glaucomatous visual field progression.

Eija Vesti1, Chris A Johnson, Balwantray C Chauhan

  • 1Discoveries in Sight, Devers Eye Institute, Portland, Oregon, USA.

Investigative Ophthalmology & Visual Science
|August 27, 2003
PubMed
Summary

Seven methods for analyzing glaucoma visual field progression were compared. Advanced Glaucoma Intervention Study (AGIS) and Collaborative Initial Glaucoma Treatment Study (CIGTS) methods showed high specificity but identified fewer progressions, while Glaucoma Change Probability (GCP) methods detected progression earliest.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Macular Layer Thickness with Spectral-Domain and High-Resolution OCT.

Ophthalmology science·2026
Same author

Value of 10-2 Visual Field Testing for Detecting Progression in Patients with Glaucoma.

Ophthalmology·2026
Same author

A hybrid framework for effective microscopic cell counting segmentation integrating Light-U-net with watershed.

Experimental eye research·2026
Same author

Impact of ageing on progressive thinning of the retinal nerve fibre layer in glaucoma.

The British journal of ophthalmology·2026
Same author

Global Glaucoma Prevalence: Burden and Projection to 2060.

American journal of ophthalmology·2025
Same author

Characterization of adeno-associated viral transduction of retinal ganglion cells in adult and old mice.

Molecular therapy. Methods & clinical development·2025

Area of Science:

  • Ophthalmology
  • Medical Technology
  • Data Analysis

Background:

  • Glaucoma is a leading cause of irreversible blindness.
  • Accurate detection of visual field progression is crucial for timely intervention.
  • Existing methods for analyzing visual field progression vary in performance.

Purpose of the Study:

  • To compare the performance characteristics of seven distinct methods for analyzing glaucomatous visual field progression.
  • To evaluate these methods using both real patient data and computer simulations.

Main Methods:

  • Utilized visual field data from 76 open-angle glaucoma patients over 7 years.
  • Employed computer simulations to generate interim visual fields with varying degrees of variability.
  • Analyzed progression using established methods: Advanced Glaucoma Intervention Study (AGIS), Collaborative Initial Glaucoma Treatment Study (CIGTS), Glaucoma Change Probability (GCP) analysis (3 criteria), and point-wise linear regression analysis (PLRA) (2 criteria).

Related Experiment Videos

  • Calculated specificities under moderate and high variability conditions.

    • Main Results:

    • Progression rates varied significantly: AGIS (18%), CIGTS (36%), GCP (47%-62%), PLRA (72%-84%) under no variability.
    • GCP methods showed increased progression rates with higher variability, while others decreased.
    • PLRA methods had the longest time to detect confirmed progression; CIGTS and GCP methods were shortest.
    • All methods demonstrated high specificity under moderate variability.
    • AGIS, CIGTS, and one criterion each of GCP and PLRA maintained high specificity under high variability.

    Conclusions:

    • AGIS and CIGTS methods offer high specificity but identify fewer progression cases.
    • GCP methods are quickest for detecting progression but generally lack specificity.
    • PLRA methods are specific but require the longest time for confirmed progression detection.