SUMMARY
UCLA researchers have developed a novel algorithm to track and predict the progression of patients with glaucoma.
BACKGROUND
Patients with glaucoma experience optic nerve damage, leading to visual field loss along the periphery. Loss of the visual field is monitored using perimetry, which produces visual field data. Analysis of those fields over time can track the progression of a patient's disease. Several software suites currently exist to synthesize this pool of data, track visual field loss, and predict future changes. However, all existing analytical methods use various forms of linear regression analysis, and head-to-head comparisons have shown that exponential regression analysis is a better predictor of future progression.
INNOVATION
UCLA researchers have developed a software package that analyzes visual field data of glaucoma patients collected over time. Using exponential regression analysis, this software better predicts the progression of glaucoma in the patient. The software synthesizes data collected from the commonly-used Humphrey Field Analyzer (Zeiss).
POTENTIAL APPLICATIONS
- Monitoring of glaucoma progression
- Can be used as a complement to existing systems based on linear regression analysis
- Monitoring progression of macular degeneration
ADVANTAGES
- Analysis based on exponential regression analysis instead of linear
- Head-to-head competition: Exponential regression analysis wins! Usually a better fit
- Consistently proves a better predictor of future changes
- Uses same data input as other software systems
RELATED MATERIALS
STATE OF DEVELOPMENT
Software has been created and validated using patient data
