Glaucoma visual field analysis by computed profile of nerve fiber function in optic disc sectors

Area of Science:

• Ophthalmology
• Visual Science
• Medical Technology

Background:

• Automated perimetry reduces subjectivity in visual field data collection.
• Current analysis methods for visual field data remain largely subjective.
• Objective analysis is needed for accurate diagnosis and patient management.

Purpose of the Study:

• To introduce a microcomputer-based objective analysis technique for threshold static visual field data.
• To demonstrate the application of this technique in following glaucomatous visual field loss.
• To differentiate glaucomatous from other forms of visual loss and study aging effects on the visual field.

Main Methods:

• Regrouping and averaging visual field data points based on retinotopic projection onto the optic disc.
• Utilizing a microcomputer for objective analysis, moving beyond eccentricity from the point of fixation.
• Describing and evaluating six distinct data analysis formulas.

Main Results:

• The technique allows for objective analysis of visual field data.
• Percent loss or gain in visual field sensitivity proved most diagnostically informative.
• Analysis differentiated between glaucoma and cataract based on percent of expected sensitivity.

Conclusions:

• Objective microcomputer analysis of visual fields offers significant advantages over subjective methods.
• This technique aids in the diagnosis and management of glaucoma and other visual field defects.
• The findings suggest potential for improved patient management through more precise visual field analysis.