Optimal testing, technologies to detect glaucoma damage and progression

Technologies to Detect Glaucomatous Visual Field Damage There are several ways to identify glaucomatous defects from standard automated perimetry (SAP) print outs (Figure 1). Firstly, inspect sensitivity thresholds at each test point. It is not particularly useful to identify defects, because these values are not age-corrected. In older patients low thresholds could be attribdepression that could be caused by other pathologies (e.g. cataract). So in the PD plot, localized defects most likely from glaucoma are highlighted. Localized patterns of abnormality, identified on the PD probability plot, can be assessed to determine if they are what is considered characteristic for glaucoma (e.g. nasal step, superior or inferior arcuate patterns of defect). Odd-looking patterns Figure 1 shows all of the information available on a standard automated perimetry print out.