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A comparison of the pattern- and total deviation-based Glaucoma Change Probability programs.

J Katz1

  • 1Department of International Health, Johns Hopkins School of Hygiene and Public Health, Baltimore, Maryland 21205-2103, USA. jkatz@jhsph.edu

Investigative Ophthalmology & Visual Science
|February 7, 2001
PubMed
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The Glaucoma Change Probability (GCP) program using pattern deviation maps detected visual field progression in 23.2% of glaucoma patients over 6 years, compared to 35.7% with total deviation maps.

Area of Science:

  • Ophthalmology
  • Optometry
  • Visual Science

Background:

  • Glaucoma is a leading cause of irreversible blindness worldwide.
  • Early detection and monitoring of glaucoma progression are crucial for effective management.
  • Visual field testing is a key method for assessing glaucoma severity and progression.

Purpose of the Study:

  • To compare the efficacy of the Glaucoma Change Probability (GCP) program in detecting visual field progression in glaucoma patients.
  • To evaluate the utility of pattern deviation versus total deviation probability maps within the GCP program.

Main Methods:

  • A cohort of 56 glaucoma patients (67 eyes) with a mean follow-up of 6 years was analyzed.
  • Visual field progression was assessed using the Early Manifest Glaucoma Treatment study criteria.

Related Experiment Videos

  • The Glaucoma Change Probability (GCP) program of the Humphrey Field Analyzer was utilized with both pattern deviation and total deviation probability maps.

    • Main Results:

    • The 6-year incidence of visual field progression was 23.2% using pattern deviation maps and 35.7% using total deviation maps.
    • A subset of patients showing progression on pattern deviation maps did not exhibit progression on total deviation maps.
    • Discrepancies suggest different sensitivities of the two map types in detecting glaucomatous visual field loss.

    Conclusions:

    • Pattern deviation maps in the GCP program may help differentiate glaucoma progression from diffuse visual field loss, potentially due to cataracts.
    • Pattern deviation maps might identify specific types of visual field defects missed by total deviation maps.
    • The choice of probability map influences the detection rate of glaucoma progression, highlighting the need for careful interpretation.