A new generation of algorithms for computerized threshold perimetry, SITA

Area of Science:

• Ophthalmology
• Medical technology
• Computational science

Background:

• Computerized static threshold perimetry is crucial for diagnosing visual field defects.
• Current perimetry tests can be time-consuming, potentially impacting patient compliance and throughput.
• Glaucomatous visual field loss requires accurate and efficient monitoring.

Purpose of the Study:

• To develop novel algorithms for static threshold perimetry that decrease testing duration.
• To ensure that reduced test time does not lead to a decline in the quality of visual field data.
• To create a new family of algorithms for enhanced perimetric testing.

Main Methods:

• Developed a visual field model incorporating normal and glaucomatous field data, updated dynamically during testing.
• Implemented algorithms that estimate threshold certainty and cease testing at predetermined certainty levels.
• Utilized time-saving methods for estimating false responses and optimized test pacing.
• Employed computer simulations to refine algorithm parameters and compare performance against standard algorithms.

Main Results:

• Simulated tests using the new algorithm demonstrated slightly higher accuracy than the Humphrey Full Threshold test.
• The number of simulated stimuli was reduced by an average of 29% in normal fields and 26% in glaucomatous fields.
• Actual clinical test time is expected to be further reduced as improved timing was not included in simulations.

Conclusions:

• New algorithms were developed using physiological knowledge and advanced computational methods for real-time threshold and error estimation.
• The developed algorithms significantly shorten perimetric test duration.
• The quality of results remains high, demonstrating the effectiveness of the new testing approach.