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Visual field progression: comparison of Humphrey Statpac2 and pointwise linear regression analysis
A I McNaught1, D P Crabb, F W Fitzke
1Glaucoma Unit, Moorfields Eye Hospital, London, UK.
Summary
The Humphrey Statpac2 and PROGRESSOR analyses show similar performance in detecting glaucoma visual field deterioration. PROGRESSOR offers a clinically useful method for monitoring disease progression using all available visual field data.
Area of Science:
- Ophthalmology
- Visual field analysis
- Glaucoma research
Background:
- Humphrey Statpac2 glaucoma change probability analysis is a standard tool for diagnosing visual field deterioration.
- A new method, PROGRESSOR (pointwise linear regression analysis), is compared to Statpac2.
Purpose of the Study:
- To compare the diagnostic accuracy of Statpac2 and PROGRESSOR in detecting glaucomatous visual field deterioration.
- To assess the early detection capabilities of both analysis techniques.
Main Methods:
- Visual field data from nine normal-tension glaucoma patients (16 fields each, 5.7-year follow-up) were analyzed.
- Statpac2 identified unequivocally deteriorated test locations in the last three fields.
- The accuracy of Statpac2 and PROGRESSOR in detecting these locations was evaluated.
Main Results:
- Both techniques demonstrated similar sensitivity and specificity in predicting deteriorated locations.
- Performance was comparable when using a threshold of >1 dB/year luminance sensitivity loss (or >2 dB/year beyond 15 degrees eccentricity) with P < 0.10 significance.
- Challenges in comparing early diagnosis methods without a definitive "gold standard" for field loss were noted.
Conclusions:
- PROGRESSOR closely matches Statpac2's performance in identifying sensitivity loss at individual test locations.
- PROGRESSOR utilizes all data within a series, providing a rate of sensitivity loss per location.
- This suggests PROGRESSOR may be a valuable clinical tool for monitoring glaucoma progression.